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AIreview
2023/5/18
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项目概要
| 课题名称 | x论文分析 |
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| 承担单位 | |
| 报告撰写 | |
| 报告审核 | |
| 历史修改 |
本报告基于Web of Science的SCI论文数据库，针对x技术进行检索、筛选与计量分析，从而剖析x技术发展历程、技术热点、演化趋势，国家、机构、研究人员之间的合著、竞争、技术侧重点等，并推断技术的未来发展趋势。
本报告主要结论如下：
1.截止到2023/5/18，在Web of Science的SCI论文数据库中检索得到x相关记录328条，总体呈现递增趋势，2022年数量达到顶峰为83件。
2.根据历年论文数量与机构数量的变化绘制技术生命周期图，判断该技术主题目前处于成长期。
3.x技术热点集中在主题聚类显著的heavy metal、numerical simulation、human activity、significant difference、south china；random forest、input combination、great significance、extreme gradient、weather station；water resource、climate change、poyang lake、water quality、poyang lake basin；northwest china、important role、environmental pollution、significant effect、grain yield；fourier transform、degrees c、electron microscopy、adsorption mechanism、x ray diffraction；test result、good agreement、axial compression、hole size、analysis result；large amount、community structure、contaminated soil、oil contaminated soil、oil pollution。
2018-2020年主要为[ganjiang river basin],[poyang lake basin],[heavy metal],[oil contaminated soil],[water footprint],[jiangxi province],[fruit tree planting],[climate change],[super high arch dam],[water resource]；2021年以后主要为[degrees c],[heavy metal],[income gap],[urban resident],[human activity],[northwest china],[water ecological environment],[machine learning model],[spatial variability],[poyang lake]。
4.按照期刊进行数量统计，排序前5位的分别为SUSTAINABILITY、6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING、AGRICULTURAL WATER MANAGEMENT、WATER、JOURNAL OF HYDROLOGY，数量分别达到25、18、18、16、12。
2018-2020年主要为[6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING],[SUSTAINABILITY],[WATER],[JOURNAL OF HYDROLOGY],[ADVANCES IN CIVIL ENGINEERING],[AGRICULTURAL WATER MANAGEMENT],[INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019],[2018 INTERNATIONAL CONFERENCE OF GREEN BUILDINGS AND ENVIRONMENTAL MANAGEMENT (GBEM 2018)],[DESALINATION AND WATER TREATMENT],[ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH]；2021年以后主要为[AGRICULTURAL WATER MANAGEMENT],[SUSTAINABILITY],[WATER],[JOURNAL OF HYDROLOGY],[CHEMOSPHERE],[ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH],[CHEMICAL ENGINEERING JOURNAL],[2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)],[WATER SUPPLY],[ADVANCES IN CIVIL ENGINEERING]。
5.按照国家进行数量统计，排序前5位的分别为中国、美国、丹麦、加拿大、马来西亚，数量分别达到328、14、11、10、5。
关联关系显著的中国、美国、加拿大、法国、德国、澳大利亚、西班牙、韩国；丹麦、日本、土耳其；马来西亚、英国；沙特阿拉伯、伊朗。
[中国]倾向于[SUSTAINABILITY]、[6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING]、[AGRICULTURAL WATER MANAGEMENT]、[WATER]、[JOURNAL OF HYDROLOGY];[美国]倾向于[SUSTAINABILITY]、[AGRICULTURAL WATER MANAGEMENT]、[CHEMOSPHERE]、[DESALINATION AND WATER TREATMENT]、[SCIENCE OF THE TOTAL ENVIRONMENT];[丹麦]倾向于[WATER]、[ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY]、[ECOLOGICAL INDICATORS]、[SCIENCE OF THE TOTAL ENVIRONMENT]、[JOURNAL OF ENVIRONMENTAL BIOLOGY];[加拿大]倾向于[JOURNAL OF HYDROLOGY]、[SUSTAINABILITY]、[ECOHYDROLOGY]、[AQUATIC SCIENCES];[马来西亚]倾向于[WATER]、[CHEMOSPHERE]、[INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019]、[CHEMICAL ENGINEERING JOURNAL]。
6.按照学科类别进行数量统计，排序前5位的分别为environmental sciences、water resources、engineering, civil、geosciences, multidisciplinary、construction & building technology，数量分别达到180、87、77、50、42。
2018-2020年主要为[environmental sciences],[engineering, civil],[water resources],[construction & building technology],[geosciences, multidisciplinary],[engineering, geological],[green & sustainable science & technology],[engineering, environmental],[environmental studies],[energy & fuels]；2021年以后主要为[environmental sciences],[water resources],[engineering, civil],[geosciences, multidisciplinary],[engineering, environmental],[construction & building technology],[agronomy],[engineering, chemical],[green & sustainable science & technology],[environmental studies]。
7.按照机构进行数量统计，排序前5位的分别为Nanchang Inst Technol、Nanchang Univ、Northwest A&F Univ、Chinese Acad Sci、China Inst Water Resources & Hydropower Res，数量分别达到328、33、31、25、16。
Nanchang Inst Technol、Nanchang Univ、Hohai Univ、East China Jiao Tong Univ、Anhui Normal Univ、Xian Univ Technol、Jiangxi Agr Univ、Jiangxi Univ Finance & Econ、Univ Elect Sci & Technol China、Beijing Jiaotong Univ、Chongqing Univ、Jiangxi Normal Univ、Jiangxi Sci & Technol Normal Univ、China Univ Geosci、Western Michigan Univ、Zhejiang Univ、East China Jiaotong Univ侧重于[water resource]、[climate change]、[heavy metal]、[poyang lake]、[important role]；Northwest A&F Univ、China Inst Water Resources & Hydropower Res、Wuhan Univ、Lanzhou Univ、Lanzhou Univ Technol、Southwest Univ Sci & Technol、Sun Yat Sen Univ侧重于[northwest china]、[random forest]、[input combination]、[irrigation level]、[weather station]；Chinese Acad Sci、Univ Chinese Acad Sci、Aarhus Univ、Hunan Agr Univ、Jiangxi Inst Water Sci、Middle East Tech Univ侧重于[plant community]、[environmental gradient]、[functional diversity]、[grain yield]、[indirect effect]。
8.按照作者角度进行统计，排序前5位的分别为Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Li, Wei、Liu, Zhanmeng，数量分别达到33、22、19、15、11。
10.1016/j.atmosenv.2018.04.004 101
10.1016/j.agwat.2019.105758 102
10.1016/j.jclepro.2018.02.272 103
10.1016/j.agwat.2019.105986 104
10.1016/j.jhydrol.2019.123960 105
10.1016/j.agwat.2020.106547 108
10.1007/s11356-019-05031-2 109
10.1016/j.jhydrol.2018.09.055 110
10.1016/j.chemosphere.2018.02.045 111
10.1016/j.jhydrol.2019.124293 114
10.1016/j.jclepro.2020.120276 115
10.1016/j.envres.2021.112544 116
10.1016/j.jher.2017.10.005 117
10.1016/j.jclepro.2019.119264 118
10.1016/j.agwat.2019.05.035 119
图 1历年论文数量及其增长率趋势图 15
图 2历年论文数量及其累积数量趋势图 15
图 3技术生命周期图 16
图 4主题分布图 22
图 5主题聚类图 23
图 6主题演化趋势图 25
图 7关键词分布图 27
图 8关键词聚类图 28
图 9关键词演化趋势图 30
图 10关键词突破图 31
图 11学科类别演化趋势图 35
图 12学科类别交叉图 37
图 13学科类别突破图 38
图 14学科方向演化趋势图 42
图 15学科方向交叉图 43
图 16学科方向突破图 44
图 17期刊演化趋势图 49
图 18期刊关联关系图 51
图 19期刊关联关系图(标注主题词) 52
图 20期刊关联关系图(标注关键词) 53
图 21期刊关联关系图(标注学科类别) 55
图 22国家论文数量图 56
图 23国家演化趋势图 57
图 24国家合著关系关系图 60
图 25国家关联关系图 61
图 26国家关联关系图(标注主题词) 62
图 27国家关联关系图(标注关键词) 63
图 28国家关联关系图(标注学科类别) 64
图 29国家关联关系图(标注学科方向) 65
图 30国家期刊矩阵图 67
图 31机构演化趋势图 71
图 32机构突破图 72
图 33机构合著关系图 73
图 34机构关联关系图 74
图 35机构关联关系图(标注主题词) 75
图 36机构关联关系图(标注关键词) 76
图 37机构关联关系图(标注学科类别) 77
图 38机构关联关系图(标注学科方向) 79
图 39机构期刊矩阵图 81
图 40作者演化趋势图 86
图 41作者合著关系图 87
图 42作者关联关系图 88
图 43作者关联关系图(标注主题词) 89
图 44作者关联关系图(标注关键词) 90
图 45作者关联关系图(标注学科类别) 91
图 46作者关联关系图(标注学科方向) 93
图 47国家知识扩散网络图 95
图 48机构知识扩散网络图 96
图 49作者知识扩散网络图 97
图 50期刊知识扩散网络图 99
数据来源：Web of Science的SCI论文数据库
检索时间：截止到2023/5/18
检索策略：
检索结果：328
随着信息技术的发展，文本挖掘和信息可视化技术已被应用到情报分析领域。本报告应用Excel和文献分析工具ITGInsight进行文献计量分析。ITGInsight，全称为“通用科技文本可视化挖掘系统”，也称“科研关系构建与可视化系统”，该软件是一款高级的科技文本挖掘与可视化分析工具，主要针对科技文本，如论文、论文、报告、报刊等进行可视化的分析与挖掘，也可应用于微博、微信等互联网文本数据可视化，可视化挖掘方法有合著关系可视化、同现关系可视化、耦合关系可视化、关联关系可视化、引证关系可视化、演化分析可视化，可视化输出包括网络图、热力图、世界地图、矩阵图、演化图、聚类图。该工具增强了对大规模数据的处理，将聚类分析、技术热力图、技术地形图、技术气象图整合到系统中。用户可应用该工具对SCI、CNKI、万方论文数据，WEB OF SCIENCE论文、美国论文、中国论文、欧洲论文进行可视化挖掘，进而开展学术评价、技术监测、技术机会分析、竞争态势分析等科研管理与情报分析任务。同时，该工具也是一款综合的情报分析平台，提供除文本挖掘和可视化分析以外的基本维度统计、excel和word报表、ppt自动报告等辅助功能。该系统支持用户自定义格式的任何文本数据、图形数据，并提供与情报分析工具Vosviewer、复杂网络工具Pajek、Ucinet的数据接口。关于该软的更多信息请查看http://zyinsight.sxl.cn或www.zyinsight.com
论文数量趋势一定程度上可以反映出某技术类别或研究领域的发展状态、热度和趋势。统计该技术主题历年论文数量及其增长率，历年论文数量及其累积数量，如下两幅图所示（1900年表示原始数据无具体时间信息，计算机默认为1900年1月1日）。该技术主题论文总量328件，总体呈现递增趋势，2022年数量达到顶峰为83件。
技术生命周期的概念源自产品生命周期，与侧重产品和市场的视角相比，技术生命周期理论的出发和落脚点都是基于技术自身角度。技术生命周期细分为竞争影响力和产品与制造的整合两个维度，并以研究开发( 萌芽) 期、成长期、成熟期和衰退期四个阶段。除衡量单项技术随时间变动的发展趋势外，技术生命周期理论还可用于对同类技术市场总量变化或技术的性能进行评价。
根据历年论文数量与机构数量的变化绘制技术生命周期如下图，判断该技术主题技术生命周期。对照标准的技术生命周期曲线，可知该技术主题目前处于成长期。
统计该技术主题期刊类型分布比如下表，排序前2位的分别为J、C，数量分别达到272、56。
表1:主要期刊类型论文数量表
| 序号 | 期刊类型 | 论文数量 |
| 1 | J | 272 |
| 2 | C | 56 |
统计该技术主题论文类型分布比如下表，排序前5位的分别为Article、Proceedings Paper、Early Access、Review、Correction，数量分别达到266、59、6、3、3。
表2:主要论文类型论文数量表
| 序号 | 论文类型 | 论文数量 |
| 1 | Article | 266 |
| 2 | Proceedings Paper | 59 |
| 3 | Early Access | 6 |
| 4 | Review | 3 |
| 5 | Correction | 3 |
科研基金项目在各个领域都具有技术先进、研究深入等特点,由基金资助的成果往往代表着一个领域内的新动向、新趋势,具有较大的难度与较高的水准。基金论文作为基金资助的成果之一，具有较高的学术水平, 在一定程度上一定程度上代表着该学科领域研究的新趋势和新动向,反映着科研创新和学科前沿动态。分析资助项目类型与资助机构类型有助于了解不同国家、机构对该领域的重视程度，引领作用。不同的资助项目类型分布，了解技术所处的阶段，如探索阶段，成熟阶段，转化阶段等。
统计该技术主题资助项目分布比如下表，排序前5位的分别为”111″ Project [B12007]、National Key Research and Development Program of China [2017YFC0403303]、key science and technology research project in Jiangxi province department of education [GJJ151096]、China Postdoctoral Science Foundation [2020M672483]、National Natural Science Foundation of China，数量分别达到8、7、6、5、5。
表3:主要资助项目数量表
| 序号 | 资助项目 | 数量 |
| 1 | “111” Project [B12007] | 8 |
| 2 | National Key Research and Development Program of China [2017YFC0403303] | 7 |
| 3 | key science and technology research project in Jiangxi province department of education [GJJ151096] | 6 |
| 4 | China Postdoctoral Science Foundation [2020M672483] | 5 |
| 5 | National Natural Science Foundation of China | 5 |
| 6 | Jiangxi Province Postgraduate Innovation Special Fund Project [YC2021-S813] | 4 |
| 7 | Department of Education Science and Technology Projects of Jiangxi Province in China [GJJ170983, GJJ180932] | 4 |
| 8 | National Natural Science Foundation Projects of China [51868049] | 4 |
| 9 | Natural Science Foundation Projects of Jiangxi Province in China [20181BAB206040] | 4 |
| 10 | National Natural Science Foundation of China [51769016] | 4 |
技术主题图广泛应用于技术布局分析、技术竞争分析、技术结构分析等科技情报分析场景，用以发现结构、识别竞争对手。技术主题图通过类似于地理信息系统中的等高线图实现对科技文本数据的可视化，通过颜色的深浅区别数据的多少以及数据之间的关系。技术主题图是进行技术主题布局分析的典型计量学方法之一。绘制x主题分布，如下图所示。图中每个点表示一个技术热点词，词与词之间的平面距离与词之间的关系强度成正比；颜色深浅度形成等高线，表示该词词频数量多少与密集程度；等高线中心山峰区域表示一个技术主题聚类。
该图展示了x的主要研究热点大体围绕以下热点词进行：主题聚类显著的heavy metal、numerical simulation、human activity、significant difference、south china；random forest、input combination、great significance、extreme gradient、weather station；water resource、climate change、poyang lake、water quality、poyang lake basin；northwest china、important role、environmental pollution、significant effect、grain yield；fourier transform、degrees c、electron microscopy、adsorption mechanism、x ray diffraction；test result、good agreement、axial compression、hole size、analysis result；large amount、community structure、contaminated soil、oil contaminated soil、oil pollution。
抽取的热点主题词排序详见附表，该表更加全面的展示了x技术主题发展历程中最受关注的技术主题词。
随着科学技术的不断发展与更新迭代，新的科学成果与创新技术不断涌现，与此同时一些旧的领域研究也处于不断演进、融合、分裂等动态变化的过程中。当前科学变革局势较为复杂，科学技术新旧交替、迭代创新的步伐持续不断且呈现加速趋势。在当前背景下，学科主题演化分析成为科技情报研究的一项重要工作。对于国家来说，主题演化研究能够全面了解学科主题发展的变化及演化脉络，及时跟踪最新研究动向，从而有效制定学科发展策略，主攻科学研究的创新点与突破口；对于科研管理层，把握学科发展动向能够为科学决策提供支撑，实现科研资源的优化配置和有效利用
主题演化分析作为新兴趋势探测方法之一，有助于了解领域主题产生、消亡、增强、减弱、聚合和裂变的过程，在文献分析中广泛应用，也得到众多研究者的关注。本报告以主题词演化反应领域的主题变化情况。其基本过程：提取每个时间段的主题词（或主题词组），统计各主题词（或主题词组）频数，列出前N个主题词，依据数量多少排序；计算各个时间段主题词（或主题词组）之间的同现关系强度，上一阶段的同现关系作为上一阶段主题词（或主题词组）与下一阶段主题词（或主题词组）之间的关系强度。基于相同的计算方法，将主题演化拓展到作者、机构、地区、关键词、学科类别演化。绘制x技术主题词演化图，如下图所示。
从下图可以看出，2018-2020年主要为[ganjiang river basin],[poyang lake basin],[heavy metal],[oil contaminated soil],[water footprint],[jiangxi province],[fruit tree planting],[climate change],[super high arch dam],[water resource]；2021年以后主要为[degrees c],[heavy metal],[income gap],[urban resident],[human activity],[northwest china],[water ecological environment],[machine learning model],[spatial variability],[poyang lake]。
绘制关键词分布如下图所示，该图展示了x的主要关键词分布：关键词聚类显著的Extreme Gradient Boosting、Reference Evapotranspiration、Machine Learning、Support Vector Regression、Cross Station；Poyang Lake Basin、Poyang Lake、Functional Traits、Standardized Precipitation Evapotranspiration Index (SPEI)、Leaf Area Index；Risk Assessment、Heavy Metals、Adsorption、Ganjiang River Basin、Precipitation；Biochar、Vallisneria Natans、Water Quality、Microbial Community、Synergistic Effect；Drip Fertigation、Water Use Efficiency、Grain Yield、Surge-Root Irrigation、Partial Factor Productivity；Deep Learning、Spatial Information、Hyperspectral Unmixing、Prediction、2D Octave Convolution；Slope Stability、Spatial Variability、Stratigraphic Uncertainty、Random Field、Reliability Analysis；Oil-Contaminated Soil、Oil Degradation、Se、As、Caenorhabditis Elegans。
提取历年主要关键词趋势如下图。据图可知，2018-2020年主要为[Ganjiang River Basin],[Climate Change],[Poyang Lake Basin],[Support Vector Regression],[Reference Evapotranspiration],[Precipitation],[Poyang Lake],[Le’an River],[China],[Climate Variability]；2021年以后主要为[Extreme Gradient Boosting],[Risk Assessment],[Heavy Metals],[Reference Evapotranspiration],[Drip Fertigation],[Biochar],[Deep Learning],[Slope Stability],[Spatial Variability],[Water Treatment]。
突现词是探测特定时间段内的高频关键词，在某种程度上能够反映该领域内某研究方向的热度以及前沿观点。突现率考察的是词频变化率，考察某段时间内频次变化率高低的标准。计算主要关键词突破性指标及其数量变化如下图所示,其中关键词后的数值为突破率指标值，红色线条为关键词的历年出现情况。
统计该技术主题学科类别分布比如下表，排序前5位的分别为environmental sciences、water resources、engineering, civil、geosciences, multidisciplinary、construction & building technology，数量分别达到180、87、77、50、42。
表4:主要学科类别论文数量表
| 序号 | 学科类别 | 论文数量 |
| 1 | environmental sciences | 180 |
| 2 | water resources | 87 |
| 3 | engineering, civil | 77 |
| 4 | geosciences, multidisciplinary | 50 |
| 5 | construction & building technology | 42 |
| 6 | engineering, environmental | 41 |
| 7 | green & sustainable science & technology | 35 |
| 8 | engineering, geological | 31 |
| 9 | environmental studies | 27 |
| 10 | agronomy | 18 |
| 11 | engineering, chemical | 17 |
| 12 | remote sensing | 14 |
| 13 | ecology | 13 |
| 14 | energy & fuels | 9 |
| 15 | biodiversity conservation | 9 |
| 16 | materials science, multidisciplinary | 8 |
| 17 | engineering, electrical & electronic | 8 |
| 18 | public, environmental & occupational health | 7 |
| 19 | toxicology | 7 |
| 20 | transportation science & technology | 6 |
| 21 | meteorology & atmospheric sciences | 6 |
| 22 | agricultural engineering | 5 |
| 23 | food science & technology | 5 |
| 24 | geography, physical | 5 |
| 25 | economics | 4 |
| 26 | imaging science & photographic technology | 4 |
| 27 | optics | 3 |
| 28 | computer science, interdisciplinary applications | 3 |
| 29 | engineering, multidisciplinary | 3 |
| 30 | limnology | 3 |
随着科学技术的不断发展与更新迭代，新的科学成果与创新技术不断涌现，与此同时一些旧的领域研究也处于不断演进、融合、分裂等动态变化的过程中。当前科学变革局势较为复杂，科学技术新旧交替、迭代创新的步伐持续不断且呈现加速趋势。在当前背景下，学科主题演化分析成为科技情报研究的一项重要工作。对于国家来说，主题演化研究能够全面了解学科主题发展的变化及演化脉络，及时跟踪最新研究动向，从而有效制定学科发展策略，主攻科学研究的创新点与突破口；对于科研管理层，把握学科发展动向能够为科学决策提供支撑，实现科研资源的优化配置和有效利用
提取历年主要学科类别论文趋势如下图。据图可知，2018-2020年主要为[environmental sciences],[engineering, civil],[water resources],[construction & building technology],[geosciences, multidisciplinary],[engineering, geological],[green & sustainable science & technology],[engineering, environmental],[environmental studies],[energy & fuels]；2021年以后主要为[environmental sciences],[water resources],[engineering, civil],[geosciences, multidisciplinary],[engineering, environmental],[construction & building technology],[agronomy],[engineering, chemical],[green & sustainable science & technology],[environmental studies]。
人类面临的重大前沿科学问题、社会问题以及全球性挑战日趋多样化与复杂化, 所涉及知识已远超出单一学科知识范畴, 这使得多学科间协同攻关的重要性日益凸显。学科间交叉融合可以推动不同领域知识相互渗透, 催生新学科生长点, 乃至形成新研究范式、新理论体系以及新兴交叉学科。
主要学科类别交叉如下图。图中节点大小与论文数量多少成正比，图中连线粗细与合著数量多少成正比。
从图中可以看出，交叉融合显著的environmental sciences、green & sustainable science & technology、environmental studies、ecology、energy & fuels；engineering, civil、construction & building technology、engineering, geological、materials science, multidisciplinary、engineering, electrical & electronic；water resources、engineering, environmental、agronomy、engineering, chemical、agricultural engineering；geosciences, multidisciplinary、remote sensing、geography, physical、imaging science & photographic technology、optics。
计算历年主要学科类别突破性指标及其数量变化如下图所示,其中“[]”的数值为突破率指标值，红色线条为学科类别的历年出现情况。
统计该技术主题学科方向分布比如下表，排序前5位的分别为Environmental Sciences & Ecology、Engineering、Water Resources、Geology、Construction & Building Technology，数量分别达到180、133、87、50、42。
表5:主要学科方向论文数量表
| 序号 | 学科方向 | 论文数量 |
| 1 | Environmental Sciences & Ecology | 180 |
| 2 | Engineering | 133 |
| 3 | Water Resources | 87 |
| 4 | Geology | 50 |
| 5 | Construction & Building Technology | 42 |
| 6 | Science & Technology – Other Topics | 35 |
| 7 | Agriculture | 25 |
| 8 | Remote Sensing | 14 |
| 9 | Materials Science | 9 |
| 10 | Energy & Fuels | 9 |
| 11 | Biodiversity & Conservation | 9 |
| 12 | Public, Environmental & Occupational Health | 7 |
| 13 | Toxicology | 7 |
| 14 | Transportation | 6 |
| 15 | Meteorology & Atmospheric Sciences | 6 |
| 16 | Food Science & Technology | 5 |
| 17 | Physical Geography | 5 |
| 18 | Computer Science | 5 |
| 19 | Business & Economics | 4 |
| 20 | Imaging Science & Photographic Technology | 4 |
| 21 | Optics | 3 |
| 22 | Chemistry | 3 |
| 23 | Marine & Freshwater Biology | 3 |
| 24 | Instruments & Instrumentation | 3 |
| 25 | Operations Research & Management Science | 2 |
| 26 | Mining & Mineral Processing | 2 |
| 27 | Oceanography | 2 |
| 28 | Biotechnology & Applied Microbiology | 1 |
提取历年主要学科方向论文趋势如下图。据图可知，2018-2020年主要为[Environmental Sciences & Ecology],[Engineering],[Water Resources],[Construction & Building Technology],[Geology],[Science & Technology – Other Topics],[Agriculture],[Energy & Fuels],[Remote Sensing],[Materials Science]；2021年以后主要为[Environmental Sciences & Ecology],[Engineering],[Water Resources],[Geology],[Construction & Building Technology],[Agriculture],[Science & Technology – Other Topics],[Remote Sensing],[Biodiversity & Conservation],[Materials Science]。
主要学科方向交叉如下图。图中节点大小与论文数量多少成正比，图中连线粗细与合著数量多少成正比。
从图中可以看出，交叉融合显著的Environmental Sciences & Ecology、Water Resources、Science & Technology – Other Topics、Agriculture、Biodiversity & Conservation；Engineering、Construction & Building Technology、Materials Science、Energy & Fuels、Transportation；Geology、Remote Sensing、Physical Geography、Computer Science、Imaging Science & Photographic Technology。
计算历年主要学科方向突破性指标及其数量变化如下图所示,其中“[]”的数值为突破率指标值，红色线条为学科方向的历年出现情况。
统计该技术主题期刊论文总量及其占比如下表，排序前5位的分别为SUSTAINABILITY、6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING、AGRICULTURAL WATER MANAGEMENT、WATER、JOURNAL OF HYDROLOGY，数量分别达到25、18、18、16、12。
表6:主要期刊论文数量表
| 序号 | 期刊 | 论文数量 | 比重 |
| 1 | SUSTAINABILITY | 25 | 7.622% |
| 2 | 6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING | 18 | 5.488% |
| 3 | AGRICULTURAL WATER MANAGEMENT | 18 | 5.488% |
| 4 | WATER | 16 | 4.878% |
| 5 | JOURNAL OF HYDROLOGY | 12 | 3.659% |
| 6 | ADVANCES IN CIVIL ENGINEERING | 10 | 3.049% |
| 7 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH | 9 | 2.744% |
| 8 | CHEMOSPHERE | 8 | 2.439% |
| 9 | DESALINATION AND WATER TREATMENT | 8 | 2.439% |
| 10 | ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY | 7 | 2.134% |
| 11 | ECOLOGICAL INDICATORS | 7 | 2.134% |
| 12 | WATER SUPPLY | 6 | 1.829% |
| 13 | SCIENCE OF THE TOTAL ENVIRONMENT | 6 | 1.829% |
| 14 | 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 5 | 1.524% |
| 15 | APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH | 5 | 1.524% |
| 16 | INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019 | 5 | 1.524% |
| 17 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | 5 | 1.524% |
| 18 | CHEMICAL ENGINEERING JOURNAL | 5 | 1.524% |
| 19 | JOURNAL OF ENVIRONMENTAL BIOLOGY | 4 | 1.220% |
| 20 | JOURNAL OF COASTAL RESEARCH | 4 | 1.220% |
| 21 | 2018 INTERNATIONAL CONFERENCE OF GREEN BUILDINGS AND ENVIRONMENTAL MANAGEMENT (GBEM 2018) | 4 | 1.220% |
| 22 | FRESENIUS ENVIRONMENTAL BULLETIN | 4 | 1.220% |
| 23 | BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT | 4 | 1.220% |
| 24 | REMOTE SENSING | 4 | 1.220% |
| 25 | JOURNAL OF CLEANER PRODUCTION | 4 | 1.220% |
| 26 | ECOHYDROLOGY | 4 | 1.220% |
| 27 | BUILDINGS | 3 | 0.915% |
| 28 | 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING (ESCE2019) | 3 | 0.915% |
| 29 | 2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 3 | 0.915% |
| 30 | AQUATIC SCIENCES | 3 | 0.915% |
提取历年主要期刊论文趋势如下图。据图可知，2018-2020年主要为[6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING],[SUSTAINABILITY],[WATER],[JOURNAL OF HYDROLOGY],[ADVANCES IN CIVIL ENGINEERING],[AGRICULTURAL WATER MANAGEMENT],[INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019],[2018 INTERNATIONAL CONFERENCE OF GREEN BUILDINGS AND ENVIRONMENTAL MANAGEMENT (GBEM 2018)],[DESALINATION AND WATER TREATMENT],[ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH]；2021年以后主要为[AGRICULTURAL WATER MANAGEMENT],[SUSTAINABILITY],[WATER],[JOURNAL OF HYDROLOGY],[CHEMOSPHERE],[ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH],[CHEMICAL ENGINEERING JOURNAL],[2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)],[WATER SUPPLY],[ADVANCES IN CIVIL ENGINEERING]。
挖掘期刊的技术主题词侧重，计算期刊之间的技术关联强度，揭示期刊之间的技术竞争，如下图。图中节点大小与论文文献数量多少成正比，图中连线粗细与期刊之间的技术关联强度成正比。节点标注文字为该期刊名称及其应用最多的三个技术主题词和论文学科类别编码。图中主要期刊技术侧重参见附表。
关联关系显著的SUSTAINABILITY、WATER、ECOLOGICAL INDICATORS、WATER SUPPLY、INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019、INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH、JOURNAL OF ENVIRONMENTAL BIOLOGY、JOURNAL OF COASTAL RESEARCH、ECOHYDROLOGY、AQUATIC SCIENCES；ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH、CHEMOSPHERE、DESALINATION AND WATER TREATMENT、ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY、SCIENCE OF THE TOTAL ENVIRONMENT、APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH、CHEMICAL ENGINEERING JOURNAL；AGRICULTURAL WATER MANAGEMENT、JOURNAL OF HYDROLOGY、2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)、BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT、REMOTE SENSING、JOURNAL OF CLEANER PRODUCTION；6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING、ADVANCES IN CIVIL ENGINEERING、BUILDINGS、5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING (ESCE2019)；2018 INTERNATIONAL CONFERENCE OF GREEN BUILDINGS AND ENVIRONMENTAL MANAGEMENT (GBEM 2018)、FRESENIUS ENVIRONMENTAL BULLETIN、2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION
从主题角度看，SUSTAINABILITY、WATER、ECOLOGICAL INDICATORS、WATER SUPPLY、INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019、INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH、JOURNAL OF ENVIRONMENTAL BIOLOGY、JOURNAL OF COASTAL RESEARCH、ECOHYDROLOGY、AQUATIC SCIENCES侧重于[human activity]、[water resource]、[poyang lake]、[ecological environment]、[ganjiang river basin]；ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH、CHEMOSPHERE、DESALINATION AND WATER TREATMENT、ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY、SCIENCE OF THE TOTAL ENVIRONMENT、APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH、CHEMICAL ENGINEERING JOURNAL侧重于[vallisneria natan]、[adsorption mechanism]、[adsorption process]、[contact time]、[contaminated soil]；AGRICULTURAL WATER MANAGEMENT、JOURNAL OF HYDROLOGY、2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)、BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT、REMOTE SENSING、JOURNAL OF CLEANER PRODUCTION侧重于[northwest china]、[irrigation level]、[crop evapotranspiration]、[grain yield]、[irrigation amount]；6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING、ADVANCES IN CIVIL ENGINEERING、BUILDINGS、5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING (ESCE2019)侧重于[test result]、[mechanical property]、[research object]、[analysis result]、[finite element analysis]；2018 INTERNATIONAL CONFERENCE OF GREEN BUILDINGS AND ENVIRONMENTAL MANAGEMENT (GBEM 2018)、FRESENIUS ENVIRONMENTAL BULLETIN、2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION侧重于[environmental pollution]、[environmental protection]、[mechanical property]、[x ray diffraction]、[actual operation]。
从关键词角度看，SUSTAINABILITY、WATER、ECOLOGICAL INDICATORS、INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH、JOURNAL OF COASTAL RESEARCH、ECOHYDROLOGY、AQUATIC SCIENCES侧重于[Ganjiang River Basin]、[Climate Change]、[Differential Game]、[Ecological Compensation]、[Ecosystem Service Value]；ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH、CHEMOSPHERE、ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY、SCIENCE OF THE TOTAL ENVIRONMENT、APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH侧重于[Vallisneria Natans]、[Biochar]、[Citespace]、[Visualization]、[“Framework Support” Structure]；AGRICULTURAL WATER MANAGEMENT、JOURNAL OF HYDROLOGY、JOURNAL OF ENVIRONMENTAL BIOLOGY、JOURNAL OF CLEANER PRODUCTION侧重于[Drip Fertigation]、[Water Use Efficiency]、[Extreme Gradient Boosting]、[Cross Station]、[Grain Yield]；6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING、BUILDINGS、5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING (ESCE2019)侧重于[Fabricated]、[3D Laser Scan]、[Architecture Of Cultural Relics]、[Artificial Shell Aggregate]、[Axial Compression]；DESALINATION AND WATER TREATMENT、WATER SUPPLY、FRESENIUS ENVIRONMENTAL BULLETIN侧重于[Energy And Exergy]、[Exergoeconomic And Environmental Parameters]、[Solar Distillation]、[Water Treatment]、[Adsorption]。
从学科类别看，ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH、CHEMOSPHERE、ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY、ECOLOGICAL INDICATORS、SCIENCE OF THE TOTAL ENVIRONMENT、APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH、INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH、JOURNAL OF ENVIRONMENTAL BIOLOGY、JOURNAL OF COASTAL RESEARCH、FRESENIUS ENVIRONMENTAL BULLETIN、2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION、AQUATIC SCIENCES侧重于[environmental sciences]、[toxicology]、[biodiversity conservation]、[ecology]、[public, environmental & occupational health]；6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING、JOURNAL OF HYDROLOGY、ADVANCES IN CIVIL ENGINEERING、2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)、BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT、REMOTE SENSING、BUILDINGS、5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING (ESCE2019)侧重于[construction & building technology]、[engineering, civil]、[engineering, geological]、[geosciences, multidisciplinary]、[water resources]；AGRICULTURAL WATER MANAGEMENT、WATER、DESALINATION AND WATER TREATMENT、WATER SUPPLY、INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019、CHEMICAL ENGINEERING JOURNAL、JOURNAL OF CLEANER PRODUCTION、ECOHYDROLOGY侧重于[agronomy]、[water resources]、[environmental sciences]、[engineering, chemical]、[engineering, environmental]；SUSTAINABILITY、2018 INTERNATIONAL CONFERENCE OF GREEN BUILDINGS AND ENVIRONMENTAL MANAGEMENT (GBEM 2018)侧重于[environmental sciences]、[environmental studies]、[green & sustainable science & technology]。
统计主要国家论文占比如下图，排序前5位的分别为中国、美国、丹麦、加拿大、马来西亚，数量分别达到328、14、11、10、5。
提取历年主要国家论文趋势如下图。据图可知，2018-2020年主要为[中国],[美国],[丹麦],[加拿大],[韩国],[日本],[法国],[马来西亚],[西班牙],[澳大利亚]；2021年以后主要为[中国],[美国],[德国],[丹麦],[加拿大],[土耳其],[沙特阿拉伯],[马来西亚],[法国],[伊朗]。
主随着全球化趋势日益明显和大科学时代的来临，科学技术越来越向综合化和边缘化发展，学科间渗透交叉程度日益扩大，科研难度日趋加大，使科研人员很难单独完成某项课题或论文，科技攻关不仅需要巨额资金投入，还需要研究者群体功能的发挥，新兴技术领域尤其如此。科学技术的进步与发展促进了科研合作研究的加强与改善。科研合作是科学研究者彼此协作的一种有效方式，为研究者进行智力交流、资源共享提供了前提，是聚个人创造力为群体智慧的有效途径。通过科研上的分工和协作，在一定程度上可以提高科研水平和效率，合作研究已成为一种非常普遍的现象，采用科学合作的方式来研究结构复杂的大科学系统已是科学研究的主要趋势。
主在科研合作的研究中，合作研究者不是结构松散的共同体，他们要分享信任与责任，最具体的表现就是他们共同署名发表成果，并共同承担责任。合作研究者具有认识论上的平等地位，并构成一个新的认知主体。这个新的认知主体通过他们的认知成果获得了认识论地位，并使合作研究成为一种认知方式。与科学的专业化和团体化相适应，合作研究作为一种社会现象日益盛行。改善科学劳动组织,增加科研成果数量,提高科学劳动效率,都与科学论文作者分布状况不无关系。可以说,科学论文作者分布的规律是解决上述问题的一个重要出口。
科研合作最直接的表现形式是论文合著，各领域学者通过持续不断的科研合作，逐渐形成自己的学术圈子和各具特色的科研合作社区。科技论文合著网络是一种典型的科研合作形态，每位科研人员都可以通过与其他学者进行科研合作形成自己的学术圈，科学家之间、导师之间、师生之间、青年学者之间、学生与学生之间，都会因共同完成一个项目、拥有相似研究主题、同在一个部门工作、学术关系密切、隶属同一个科研团队，从而结成紧密的科研合作关系。当然也有部分科研人员处于科研初期阶段，或者喜欢“单打独斗”,以独著的形式发表文献。因此，科研合作社区是科学界始终存在的一个学术生态。
通过量化分析各学科文献的作者合著现象，能够有效探索各学科领域学者的科研合作行为和动态。不同国家、不同学科学者的学术生态圈结构和规模，可以反映一个国家或一个学科不同影响力作者的科研合作偏好和行为，对科研人员在不同国家进行学术研究时如何进行科研合作有一定的启发作用。同时，应用于科研合作网络结构的深层探究及潜在合作状态的挖掘，有利于科研人员更好地展开科研合作。
关联分析通过对反映文献主题内容的主题词（学科类别或技术分类）进行关联性或相异性的定量分析，关联分析是研究文献内在联系和科学结构的一种方法，其基本出发点是：科学研究的热点是由一系列在内容上密切相关的研究课题和概念组成的，这些热点是众多科学研究人员注意和跟踪的对象。热衷或从事于某一科学热点研究的科学家，无论其社会和知识背景如何，在很大程度上对于同一研究课题和概念，所使用的词汇（学科类别或技术分类）是基本一样的。关联分析有助发现那些没有合作而研究方向、研究内容具有相似的潜在竞争者或潜在合作者。
主要国家合著关系关系如下图。图中节点大小与论文数量多少成正比，节点红、绿、黄色分别表示署名第一、第二、第三及以后的论文文献数量。图中连线粗细与合著关系数量多少成正比。
从图中可以看出，合著关系显著的中国、美国、加拿大、法国、德国；丹麦、日本、土耳其；马来西亚、沙特阿拉伯、伊朗、英国。
利用文本挖掘技术，挖掘国家的技术主题词侧重，计算国家之间的技术关联强度，揭示国家之间的技术竞争，如下图。图中节点大小与论文文献数量多少成正比，图中连线粗细与国家之间的技术关联强度成正比。节点标注文字为该国家名称及其应用最多的三个技术主题词和论文学科类别编码。图中主要国家技术侧重参见附表。
关联关系显著的中国、美国、加拿大、法国、德国、澳大利亚、西班牙、韩国；丹麦、日本、土耳其；马来西亚、英国；沙特阿拉伯、伊朗。
从主题角度看，中国、美国、加拿大、法国、德国、澳大利亚、西班牙、韩国侧重于[water resource]、[climate change]、[heavy metal]、[poyang lake]、[important role]；丹麦、日本、土耳其侧重于[plant community]、[environmental gradient]、[soil moisture]、[above ground biomass]、[cascading effect]；马来西亚、英国侧重于[detached low crested breakwater]、[above analysis]、[bibliometric analysis]、[breakwater structure]、[carbon dioxide conversion]；沙特阿拉伯、伊朗侧重于[above analysis]、[above finding]、[bibliometric analysis]、[bibliometric analysis method]、[bibliometric visual analysis]。
从关键词角度看，中国、加拿大、法国、德国、西班牙侧重于[Extreme Gradient Boosting]、[Reference Evapotranspiration]、[Climate Change]、[Poyang Lake Basin]、[Risk Assessment]；马来西亚、沙特阿拉伯、伊朗、英国侧重于[Photocatalysis]、[Citespace]、[Visualization]、[Artifitial Reef]、[Bibliometric]；美国、澳大利亚、韩国侧重于[Biochar]、[Bioenergy]、[Biowaste]、[Cahpo4]、[Camellia Oleifera]；丹麦、日本、土耳其侧重于[Elevation Gradients]、[Functional Traits]、[Spatial Scale]、[Above-Ground Biomass]、[Ammonium Pulse]。
从学科类别看，中国、美国、韩国、沙特阿拉伯、伊朗侧重于[environmental sciences]、[water resources]、[engineering, civil]、[geosciences, multidisciplinary]、[construction & building technology]；丹麦、马来西亚、日本、土耳其、英国侧重于[environmental sciences]、[water resources]、[engineering, environmental]、[ecology]、[biodiversity conservation]；加拿大、法国、德国、澳大利亚、西班牙侧重于[environmental sciences]、[water resources]、[geosciences, multidisciplinary]、[engineering, civil]、[engineering, geological]。
从学科方向看，丹麦、马来西亚、日本、沙特阿拉伯、英国侧重于[Environmental Sciences & Ecology]、[Water Resources]、[Engineering]、[Biodiversity & Conservation]、[Marine & Freshwater Biology]；中国、美国、土耳其、韩国侧重于[Environmental Sciences & Ecology]、[Engineering]、[Water Resources]、[Geology]、[Construction & Building Technology]；加拿大、德国、西班牙侧重于[Environmental Sciences & Ecology]、[Water Resources]、[Engineering]、[Geology]、[Remote Sensing]；法国、澳大利亚、伊朗侧重于[Engineering]、[Geology]、[Computer Science]、[Water Resources]、[Construction & Building Technology]。
统计各国家在期刊的分布情况，如下图。[中国]倾向于[SUSTAINABILITY]、[6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING]、[AGRICULTURAL WATER MANAGEMENT]、[WATER]、[JOURNAL OF HYDROLOGY];[美国]倾向于[SUSTAINABILITY]、[AGRICULTURAL WATER MANAGEMENT]、[CHEMOSPHERE]、[DESALINATION AND WATER TREATMENT]、[SCIENCE OF THE TOTAL ENVIRONMENT];[丹麦]倾向于[WATER]、[ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY]、[ECOLOGICAL INDICATORS]、[SCIENCE OF THE TOTAL ENVIRONMENT]、[JOURNAL OF ENVIRONMENTAL BIOLOGY];[加拿大]倾向于[JOURNAL OF HYDROLOGY]、[SUSTAINABILITY]、[ECOHYDROLOGY]、[AQUATIC SCIENCES];[马来西亚]倾向于[WATER]、[CHEMOSPHERE]、[INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019]、[CHEMICAL ENGINEERING JOURNAL]。
统计该技术主题机构论文总量及其占比如下表，排序前5位的分别为Nanchang Inst Technol、Nanchang Univ、Northwest A&F Univ、Chinese Acad Sci、China Inst Water Resources & Hydropower Res，数量分别达到328、33、31、25、16。表中百分比为根据共现关系计算的机构隶属关系可能性。
表7:主要机构论文数量表
| 序号 | 机构 | 论文数量 | 比重 | 所属国家 |
| 1 | Nanchang Inst Technol | 328 | 100.000% | 中国[82.000%] |
| 2 | Nanchang Univ | 33 | 10.061% | 中国[94.286%] |
| 3 | Northwest A&F Univ | 31 | 9.451% | 中国[86.111%] |
| 4 | Chinese Acad Sci | 25 | 7.622% | 中国[75.758%] |
| 5 | China Inst Water Resources & Hydropower Res | 16 | 4.878% | 中国[80.000%] |
| 6 | Hohai Univ | 15 | 4.573% | 中国[93.750%] |
| 7 | Wuhan Univ | 13 | 3.963% | 中国[76.471%] |
| 8 | Univ Chinese Acad Sci | 11 | 3.354% | 中国[52.381%] |
| 9 | Aarhus Univ | 10 | 3.049% | 丹麦[38.462%] |
| 10 | Hunan Agr Univ | 10 | 3.049% | 中国[47.619%] |
| 11 | East China Jiao Tong Univ | 8 | 2.439% | 中国[100.000%] |
| 12 | Anhui Normal Univ | 8 | 2.439% | 中国[100.000%] |
| 13 | Jiangxi Inst Water Sci | 7 | 2.134% | 中国[63.636%] |
| 14 | Lanzhou Univ | 7 | 2.134% | 中国[100.000%] |
| 15 | Lanzhou Univ Technol | 7 | 2.134% | 中国[100.000%] |
| 16 | Xian Univ Technol | 6 | 1.829% | 中国[100.000%] |
| 17 | Jiangxi Agr Univ | 6 | 1.829% | 中国[75.000%] |
| 18 | Jiangxi Univ Finance & Econ | 6 | 1.829% | 中国[66.667%] |
| 19 | Univ Elect Sci & Technol China | 6 | 1.829% | 加拿大[46.154%] |
| 20 | Beijing Jiaotong Univ | 5 | 1.524% | 中国[100.000%] |
| 21 | Chongqing Univ | 5 | 1.524% | 中国[83.333%] |
| 22 | Jiangxi Normal Univ | 5 | 1.524% | 中国[83.333%] |
| 23 | Jiangxi Sci & Technol Normal Univ | 5 | 1.524% | 中国[100.000%] |
| 24 | China Univ Geosci | 5 | 1.524% | 中国[83.333%] |
| 25 | Southwest Univ Sci & Technol | 5 | 1.524% | 中国[100.000%] |
| 26 | Middle East Tech Univ | 5 | 1.524% | 丹麦[35.714%] |
| 27 | Western Michigan Univ | 4 | 1.220% | 美国[50.000%] |
| 28 | Zhejiang Univ | 4 | 1.220% | 中国[66.667%] |
| 29 | East China Jiaotong Univ | 4 | 1.220% | 中国[100.000%] |
| 30 | Sun Yat Sen Univ | 4 | 1.220% | 中国[50.000%] |
提取历年主要机构绘制机构趋势图如下图。据图可知，2018-2020年主要为[Nanchang Inst Technol],[Nanchang Univ],[Chinese Acad Sci],[Hohai Univ],[Northwest A&F Univ],[China Inst Water Resources & Hydropower Res],[Aarhus Univ],[Jiangxi Normal Univ],[Univ Chinese Acad Sci],[Anhui Normal Univ]；2021年以后主要为[Nanchang Inst Technol],[Northwest A&F Univ],[Nanchang Univ],[Chinese Acad Sci],[China Inst Water Resources & Hydropower Res],[Wuhan Univ],[East China Jiao Tong Univ],[Lanzhou Univ],[Lanzhou Univ Technol],[Univ Chinese Acad Sci]。
从机构突破角度也可以看出不同时间新进入的机构情况与机构持续时间，参考下图机构突破图。
机构合著关系如下图。图中节点大小与论文数量多少成正比，节点红、绿、黄色分别表示署名第一、第二、第三及以后的论文文献数量。图中连线粗细与合著数量多少成正比。
从图中可以看出，合著关系显著的Nanchang Inst Technol、Nanchang Univ、China Inst Water Resources & Hydropower Res、Hohai Univ、Wuhan Univ；Chinese Acad Sci、Univ Chinese Acad Sci、Aarhus Univ、Hunan Agr Univ、Jiangxi Inst Water Sci；Northwest A&F Univ、Anhui Normal Univ、Lanzhou Univ、Lanzhou Univ Technol、Southwest Univ Sci & Technol。
挖掘机构的技术主题词侧重，计算机构之间的技术关联强度，揭示机构之间的技术竞争，如下图。图中节点大小与论文文献数量多少成正比，图中连线粗细与机构之间的技术关联强度成正比。节点标注文字为该机构名称及其应用最多的三个技术主题词和论文学科类别编码。图中主要机构技术侧重参见附表。
关联关系显著的Nanchang Inst Technol、Nanchang Univ、Hohai Univ、East China Jiao Tong Univ、Anhui Normal Univ、Xian Univ Technol、Jiangxi Agr Univ、Jiangxi Univ Finance & Econ、Univ Elect Sci & Technol China、Beijing Jiaotong Univ、Chongqing Univ、Jiangxi Normal Univ、Jiangxi Sci & Technol Normal Univ、China Univ Geosci、Western Michigan Univ、Zhejiang Univ、East China Jiaotong Univ；Northwest A&F Univ、China Inst Water Resources & Hydropower Res、Wuhan Univ、Lanzhou Univ、Lanzhou Univ Technol、Southwest Univ Sci & Technol、Sun Yat Sen Univ；Chinese Acad Sci、Univ Chinese Acad Sci、Aarhus Univ、Hunan Agr Univ、Jiangxi Inst Water Sci、Middle East Tech Univ.
从主题角度看，Nanchang Inst Technol、Nanchang Univ、Hohai Univ、East China Jiao Tong Univ、Anhui Normal Univ、Xian Univ Technol、Jiangxi Agr Univ、Jiangxi Univ Finance & Econ、Univ Elect Sci & Technol China、Beijing Jiaotong Univ、Chongqing Univ、Jiangxi Normal Univ、Jiangxi Sci & Technol Normal Univ、China Univ Geosci、Western Michigan Univ、Zhejiang Univ、East China Jiaotong Univ侧重于[water resource]、[climate change]、[heavy metal]、[poyang lake]、[important role]；Northwest A&F Univ、China Inst Water Resources & Hydropower Res、Wuhan Univ、Lanzhou Univ、Lanzhou Univ Technol、Southwest Univ Sci & Technol、Sun Yat Sen Univ侧重于[northwest china]、[random forest]、[input combination]、[irrigation level]、[weather station]；Chinese Acad Sci、Univ Chinese Acad Sci、Aarhus Univ、Hunan Agr Univ、Jiangxi Inst Water Sci、Middle East Tech Univ侧重于[plant community]、[environmental gradient]、[functional diversity]、[grain yield]、[indirect effect]。
从关键词角度看，Nanchang Inst Technol、Nanchang Univ、Hohai Univ、East China Jiao Tong Univ、Xian Univ Technol、Jiangxi Agr Univ、Jiangxi Univ Finance & Econ、Univ Elect Sci & Technol China、Beijing Jiaotong Univ、Jiangxi Sci & Technol Normal Univ、China Univ Geosci、Western Michigan Univ、Zhejiang Univ、East China Jiaotong Univ、Sun Yat Sen Univ侧重于[Extreme Gradient Boosting]、[Reference Evapotranspiration]、[Climate Change]、[Poyang Lake Basin]、[Risk Assessment]；Chinese Acad Sci、Univ Chinese Acad Sci、Aarhus Univ、Hunan Agr Univ、Jiangxi Inst Water Sci、Jiangxi Normal Univ、Middle East Tech Univ侧重于[Functional Traits]、[Drip Fertigation]、[Elevation Gradients]、[Nutrient Partitioning]、[Selection Effects]；Northwest A&F Univ、Anhui Normal Univ、Lanzhou Univ、Lanzhou Univ Technol侧重于[Drip Fertigation]、[Reference Evapotranspiration]、[Extreme Gradient Boosting]、[Cross Station]、[Grain Yield]；China Inst Water Resources & Hydropower Res、Wuhan Univ、Chongqing Univ、Southwest Univ Sci & Technol侧重于[Extreme Gradient Boosting]、[Machine Learning]、[Bat Algorithm]、[Random Forest]、[Reference Evapotranspiration]。
从学科类别看，Nanchang Inst Technol、Nanchang Univ、Chinese Acad Sci、Hohai Univ、Univ Chinese Acad Sci、Jiangxi Agr Univ、Jiangxi Normal Univ侧重于[environmental sciences]、[water resources]、[engineering, civil]、[geosciences, multidisciplinary]、[construction & building technology]；Wuhan Univ、Univ Elect Sci & Technol China、Jiangxi Sci & Technol Normal Univ、China Univ Geosci、Southwest Univ Sci & Technol、Sun Yat Sen Univ侧重于[water resources]、[environmental sciences]、[geosciences, multidisciplinary]、[engineering, civil]、[agronomy]；Northwest A&F Univ、China Inst Water Resources & Hydropower Res、Lanzhou Univ、Lanzhou Univ Technol、Xian Univ Technol侧重于[water resources]、[agronomy]、[environmental sciences]、[geosciences, multidisciplinary]、[engineering, civil]；Hunan Agr Univ、East China Jiao Tong Univ、Jiangxi Inst Water Sci、Middle East Tech Univ、Zhejiang Univ侧重于[environmental sciences]、[water resources]、[ecology]、[engineering, environmental]、[engineering, chemical]；Aarhus Univ、Anhui Normal Univ、Beijing Jiaotong Univ、East China Jiaotong Univ侧重于[environmental sciences]、[engineering, civil]、[water resources]、[engineering, environmental]、[toxicology]。
从学科方向看，Nanchang Inst Technol、Nanchang Univ、Hohai Univ、East China Jiao Tong Univ、Beijing Jiaotong Univ、Jiangxi Normal Univ、Middle East Tech Univ、Zhejiang Univ侧重于[Environmental Sciences & Ecology]、[Engineering]、[Water Resources]、[Geology]、[Construction & Building Technology]；Chinese Acad Sci、China Inst Water Resources & Hydropower Res、Wuhan Univ、Univ Elect Sci & Technol China、Jiangxi Sci & Technol Normal Univ、China Univ Geosci、Southwest Univ Sci & Technol、Sun Yat Sen Univ侧重于[Environmental Sciences & Ecology]、[Water Resources]、[Engineering]、[Agriculture]、[Biodiversity & Conservation]；Univ Chinese Acad Sci、Aarhus Univ、Hunan Agr Univ、Anhui Normal Univ、Jiangxi Inst Water Sci、East China Jiaotong Univ侧重于[Environmental Sciences & Ecology]、[Water Resources]、[Engineering]、[Toxicology]、[Biodiversity & Conservation]；Northwest A&F Univ、Lanzhou Univ、Lanzhou Univ Technol、Xian Univ Technol侧重于[Water Resources]、[Agriculture]、[Environmental Sciences & Ecology]、[Engineering]、[Geology]；Jiangxi Agr Univ、Jiangxi Univ Finance & Econ、Chongqing Univ、Western Michigan Univ侧重于[Environmental Sciences & Ecology]、[Science & Technology – Other Topics]、[Biodiversity & Conservation]、[Engineering]、[Geology]。
统计各机构在期刊的分布情况，如下图。[Nanchang Inst Technol]倾向于[SUSTAINABILITY]、[6TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING]、[AGRICULTURAL WATER MANAGEMENT]、[WATER]、[JOURNAL OF HYDROLOGY];[Nanchang Univ]倾向于[BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT]、[SUSTAINABILITY]、[WATER]、[ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH]、[ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY];[Northwest A&F Univ]倾向于[AGRICULTURAL WATER MANAGEMENT]、[JOURNAL OF HYDROLOGY]、[WATER]、[ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY]、[JOURNAL OF CLEANER PRODUCTION];[Chinese Acad Sci]倾向于[AGRICULTURAL WATER MANAGEMENT]、[WATER]、[ECOLOGICAL INDICATORS]、[SUSTAINABILITY]、[SCIENCE OF THE TOTAL ENVIRONMENT];[China Inst Water Resources & Hydropower Res]倾向于[WATER]、[SUSTAINABILITY]、[AGRICULTURAL WATER MANAGEMENT]、[JOURNAL OF HYDROLOGY]、[DESALINATION AND WATER TREATMENT]。
统计该技术主题作者论文数量及其占比如下表，排序前5位的分别为Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Li, Wei、Liu, Zhanmeng，数量分别达到33、22、19、15、11。表中百分比为根据共现关系计算的作者隶属关系可能性。
表8:主要作者论文数量表
| 序号 | 作者 | 论文数量 | 比重 | 所属机构 |
| 1 | Wu, Lifeng | 33 | 10.061% | Nanchang Inst Technol[35.484%] |
| 2 | Fan, Junliang | 22 | 6.707% | Nanchang Inst Technol[32.836%] |
| 3 | Zhang, Fucang | 19 | 5.793% | Northwest A&F Univ[32.203%] |
| 4 | Li, Wei | 15 | 4.573% | Nanchang Inst Technol[25.862%] |
| 5 | Liu, Zhanmeng | 11 | 3.354% | Nanchang Inst Technol[50.000%] |
| 6 | Fu, Hui | 10 | 3.049% | Hunan Agr Univ[21.277%] |
| 7 | Zhang, Shaoquan | 9 | 2.744% | Nanchang Inst Technol[69.231%] |
| 8 | Zheng, Jing | 9 | 2.744% | Northwest A&F Univ[28.125%] |
| 9 | Yan, Shicheng | 9 | 2.744% | Northwest A&F Univ[26.471%] |
| 10 | Yuan, Guixiang | 9 | 2.744% | Hunan Agr Univ[20.455%] |
| 11 | Wang, Xianglian | 8 | 2.439% | Nanchang Inst Technol[50.000%] |
| 12 | Wu, Daishe | 8 | 2.439% | Nanchang Univ[50.000%] |
| 13 | Ji, Yong | 8 | 2.439% | Nanchang Inst Technol[53.333%] |
| 14 | Fan, Houbao | 8 | 2.439% | Nanchang Inst Technol[44.444%] |
| 15 | Wu, You | 8 | 2.439% | Northwest A&F Univ[25.000%] |
| 16 | Deng, Chengzhi | 7 | 2.134% | Nanchang Inst Technol[77.778%] |
| 17 | Fu, Mingfu | 7 | 2.134% | Nanchang Inst Technol[41.176%] |
| 18 | Zhang, Jie | 7 | 2.134% | Nanchang Inst Technol[46.667%] |
| 19 | Zhou, Jihai | 7 | 2.134% | Anhui Normal Univ[38.889%] |
| 20 | Liu, Wenfei | 7 | 2.134% | Nanchang Inst Technol[43.750%] |
| 21 | Huang, Guomin | 7 | 2.134% | Nanchang Inst Technol[35.000%] |
| 22 | Guo, Jinjin | 7 | 2.134% | Northwest A&F Univ[25.000%] |
| 23 | Jeppesen, Erik | 7 | 2.134% | Hunan Agr Univ[18.919%] |
| 24 | Gui, Faliang | 6 | 1.829% | Nanchang Inst Technol[75.000%] |
| 25 | Wang, Shengqian | 6 | 1.829% | Nanchang Inst Technol[75.000%] |
| 26 | Yao, Xingyou | 6 | 1.829% | Nanchang Inst Technol[75.000%] |
| 27 | Guo, Yanli | 6 | 1.829% | Nanchang Inst Technol[75.000%] |
| 28 | Tang, Ming | 6 | 1.829% | Nanchang Inst Technol[75.000%] |
| 29 | Jiang, Hui | 6 | 1.829% | Nanchang Inst Technol[66.667%] |
| 30 | Liu, Weiping | 6 | 1.829% | Nanchang Univ[37.500%] |
提取历年排序靠前作者绘制作者演化趋势图如下图所示。2018-2020年主要为[Wu, Lifeng],[Fan, Houbao],[Fan, Junliang],[Ji, Yong],[Liu, Weiping],[Fu, Mingfu],[Zhang, Jie],[Yao, L.],[Fitri, A.],[Zeng, Kaihua]；2021年以后主要为[Wu, Lifeng],[Fan, Junliang],[Zhang, Fucang],[Li, Wei],[Liu, Zhanmeng],[Zheng, Jing],[Wang, Xianglian],[Tang, Ming],[Wu, Daishe],[Zhang, Shaoquan]。
作者合著关系如下图所示。图中节点大小与论文数量多少成正比，节点红、绿、黄色分别表示署名第一、第二、第三及以后的论文数量。图中连线粗细与合著的论文数量多少成正比。
从图中可以看出，合著关系显著的Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Zheng, Jing、Yan, Shicheng；Liu, Zhanmeng、Wang, Xianglian、Wu, Daishe、Ji, Yong、Fan, Houbao；Li, Wei、Fu, Hui、Yuan, Guixiang、Jeppesen, Erik；Zhang, Shaoquan、Deng, Chengzhi、Wang, Shengqian；Fu, Mingfu、Liu, Weiping；Gui, Faliang、Jiang, Hui；Yao, Xingyou、Guo, Yanli。
利用文本挖掘技术，挖掘作者技术主题词侧重，计算作者之间的技术关联强度，揭示作者之间的技术竞争，如下图。图中节点大小与论文文献数量多少成正比，图中连线粗细与作者之间的技术关联强度成正比。节点标注文字为该作者名称及其应用最多的三个技术主题词和论文学科类别编码。图中主要作者技术侧重参见附表。
关联关系显著的Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Zheng, Jing、Yan, Shicheng、Wu, You、Guo, Jinjin；Li, Wei、Fu, Hui、Yuan, Guixiang、Jeppesen, Erik、Gui, Faliang、Tang, Ming、Jiang, Hui；Ji, Yong、Fan, Houbao、Zhang, Jie、Zhou, Jihai、Liu, Wenfei、Huang, Guomin；Liu, Zhanmeng、Wang, Xianglian、Wu, Daishe；Zhang, Shaoquan、Deng, Chengzhi、Wang, Shengqian。
从主题角度看，Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Zheng, Jing、Yan, Shicheng、Wu, You、Guo, Jinjin侧重于[northwest china]、[random forest]、[extreme gradient]、[input combination]、[weather station]；Li, Wei、Fu, Hui、Yuan, Guixiang、Jeppesen, Erik、Gui, Faliang、Tang, Ming、Jiang, Hui侧重于[environmental gradient]、[functional diversity]、[plant community]、[above ground biomass]、[aquatic ecosystem]；Ji, Yong、Fan, Houbao、Zhang, Jie、Zhou, Jihai、Liu, Wenfei、Huang, Guomin侧重于[superoxide dismutase]、[contaminated soil]、[microbial activity]、[oil contaminated soil]、[oil degradation]；Liu, Zhanmeng、Wang, Xianglian、Wu, Daishe侧重于[electron microscopy]、[fourier transform]、[adsorbent dosage]、[x ray photoelectron spectroscopy]、[aqueous solution]；Zhang, Shaoquan、Deng, Chengzhi、Wang, Shengqian侧重于[hyperspectral image]、[spatial information]、[hyperspectral unmixing]、[sparse unmixing]、[spatial correlation]。
从关键词角度看，Ji, Yong、Fan, Houbao、Zhang, Jie、Zhou, Jihai、Liu, Wenfei、Huang, Guomin、Gui, Faliang、Tang, Ming侧重于[Oil-Contaminated Soil]、[Caenorhabditis Elegans]、[Oil Degradation]、[Soil Enzyme Activity]、[Relative Contributions]；Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Zheng, Jing、Yan, Shicheng、Wu, You、Guo, Jinjin侧重于[Extreme Gradient Boosting]、[Reference Evapotranspiration]、[Drip Fertigation]、[Machine Learning]、[Cross Station]；Li, Wei、Fu, Hui、Yuan, Guixiang、Jeppesen, Erik、Jiang, Hui侧重于[Functional Traits]、[Above-Ground Biomass]、[Community-Weighted Mean]、[Elevation Gradients]、[Functional Diversity]；Liu, Zhanmeng、Wang, Xianglian、Wu, Daishe侧重于[Adsorption]、[Cr(VI)]、[Graphene Oxide]、[Heavy Metals]、[Mineralization]；Zhang, Shaoquan、Deng, Chengzhi、Wang, Shengqian侧重于[Deep Learning]、[Hyperspectral Imaging]、[Sparse Unmixing]、[2D Octave Convolution]、[Densenet]。
从学科类别看，Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Zheng, Jing、Yan, Shicheng、Wu, You、Guo, Jinjin侧重于[water resources]、[agronomy]、[environmental sciences]、[geosciences, multidisciplinary]、[engineering, civil]；Liu, Zhanmeng、Wang, Xianglian、Wu, Daishe、Ji, Yong、Fan, Houbao、Zhang, Jie、Zhou, Jihai侧重于[environmental sciences]、[engineering, chemical]、[water resources]、[toxicology]、[engineering, environmental]；Fu, Mingfu、Liu, Wenfei、Huang, Guomin、Tang, Ming、Liu, Weiping侧重于[water resources]、[environmental sciences]、[geosciences, multidisciplinary]、[toxicology]、[engineering, civil]；Li, Wei、Fu, Hui、Yuan, Guixiang、Jeppesen, Erik侧重于[environmental sciences]、[water resources]、[ecology]、[engineering, environmental]、[limnology]；Gui, Faliang、Yao, Xingyou、Guo, Yanli、Jiang, Hui侧重于[engineering, civil]、[construction & building technology]、[environmental sciences]、[green & sustainable science & technology]、[water resources]。
从学科方向看，Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Zheng, Jing、Yan, Shicheng、Wu, You、Guo, Jinjin侧重于[Water Resources]、[Agriculture]、[Engineering]、[Environmental Sciences & Ecology]、[Geology]；Wang, Xianglian、Wu, Daishe、Ji, Yong、Fan, Houbao、Zhang, Jie、Zhou, Jihai、Huang, Guomin侧重于[Environmental Sciences & Ecology]、[Toxicology]、[Water Resources]、[Engineering]、[Construction & Building Technology]；Fu, Mingfu、Liu, Wenfei、Gui, Faliang、Yao, Xingyou、Guo, Yanli、Tang, Ming、Liu, Weiping侧重于[Engineering]、[Water Resources]、[Construction & Building Technology]、[Geology]、[Environmental Sciences & Ecology]；Li, Wei、Liu, Zhanmeng、Fu, Hui、Yuan, Guixiang、Jeppesen, Erik、Jiang, Hui侧重于[Environmental Sciences & Ecology]、[Water Resources]、[Engineering]、[Marine & Freshwater Biology]、[Toxicology]；Zhang, Shaoquan、Deng, Chengzhi、Wang, Shengqian侧重于[Geology]、[Remote Sensing]、[Environmental Sciences & Ecology]、[Computer Science]、[Optics]。
引证关系不仅可以用来发现科学技术相关知识的扩展路径，揭示知识起源及其在不同研究主体之间流向，也可以用来衡量研发主体的科学技术影响力，被行业的认可程度，辅助科技评价。以下从不同角度构建“研究主体╳年代”之间的引证关系网络，发现知识扩展路径、研究主体影响力。
国家知识扩散网络如下图所示。图中节点大小与当年国家地区文献量成正比，连线粗细与国家地区之间引证关系强度成正比，箭头方向为引证关系。知识扩散显著的中国(2019)、中国(2020)、中国(2021)、中国(2022)、中国(2023)、美国(2019)、美国(2020)、美国(2021)、日本(2022)、德国(2022)、西班牙(2023)；中国(2018)、美国(2022)、丹麦(2020)、加拿大(2018)、加拿大(2020)、加拿大(2021)、法国(2018)、法国(2021)、日本(2020)、德国(2021)、澳大利亚(2022)；丹麦(2019)、丹麦(2021)、丹麦(2022)、丹麦(2023)、土耳其(2020)、土耳其(2021)、土耳其(2022)；马来西亚(2022)、沙特阿拉伯(2022)。
机构知识扩散网络如下图所示。图中节点大小与当年机构文献量成正比，连线粗细与机构之间引证关系强度成正比，箭头方向为引证关系。知识扩散显著的Nanchang Inst Technol(2018)、Nanchang Inst Technol(2020)、Nanchang Inst Technol(2022)、Nanchang Inst Technol(2023)、Nanchang Univ(2019)、Nanchang Univ(2020)、Nanchang Univ(2021)、Nanchang Univ(2022)、Northwest A&F Univ(2020)、Northwest A&F Univ(2022)、Northwest A&F Univ(2023)；Chinese Acad Sci(2018)、Chinese Acad Sci(2019)、Chinese Acad Sci(2020)、Univ Chinese Acad Sci(2019)、Univ Chinese Acad Sci(2020)、Univ Chinese Acad Sci(2021)、Univ Chinese Acad Sci(2022)、Aarhus Univ(2019)、Aarhus Univ(2021)、Aarhus Univ(2022)、Aarhus Univ(2023)；Nanchang Inst Technol(2019)、Nanchang Inst Technol(2021)、Northwest A&F Univ(2018)、Northwest A&F Univ(2019)、Northwest A&F Univ(2021)、China Inst Water Resources & Hydropower Res(2019)、China Inst Water Resources & Hydropower Res(2021)、China Inst Water Resources & Hydropower Res(2022)、Hohai Univ(2023)、Wuhan Univ(2019)、Wuhan Univ(2021)；East China Jiao Tong Univ(2020)、East China Jiao Tong Univ(2021)；Univ Elect Sci & Technol China(2018)、Univ Elect Sci & Technol China(2021)。
作者知识扩散网络如下图所示。图中节点大小与当年作者文献量成正比，连线粗细与作者之间引证关系强度成正比，箭头方向为引证关系。知识扩散显著的Li, Wei(2020)、Li, Wei(2022)、Fu, Hui(2020)、Ji, Yong(2018)、Ji, Yong(2020)、Fan, Houbao(2018)、Fan, Houbao(2019)、Fan, Houbao(2020)、Zhang, Jie(2018)、Zhang, Jie(2020)、Zhang, Jie(2022)；Wu, Lifeng(2020)、Wu, Lifeng(2022)、Wu, Lifeng(2023)、Fan, Junliang(2020)、Fan, Junliang(2022)、Fan, Junliang(2023)、Zhang, Fucang(2020)、Zhang, Fucang(2022)、Zhang, Fucang(2023)、Zheng, Jing(2020)、Zheng, Jing(2022)；Li, Wei(2018)、Li, Wei(2019)、Li, Wei(2021)、Li, Wei(2023)、Fu, Hui(2018)、Fu, Hui(2019)、Fu, Hui(2021)、Fu, Hui(2022)、Fu, Hui(2023)、Yuan, Guixiang(2018)、Yuan, Guixiang(2019)；Wu, Lifeng(2018)、Wu, Lifeng(2019)、Wu, Lifeng(2021)、Fan, Junliang(2018)、Fan, Junliang(2019)、Fan, Junliang(2021)、Zhang, Fucang(2018)、Zhang, Fucang(2019)、Zhang, Fucang(2021)、Zheng, Jing(2021)、Yan, Shicheng(2021)；Liu, Zhanmeng(2022)、Wang, Xianglian(2021)、Wang, Xianglian(2022)、Wu, Daishe(2021)、Wu, Daishe(2022)。
期刊知识扩散网络如下图所示。图中节点大小与当年出版物文献量成正比，连线粗细与出版物之间引证关系强度成正比，箭头方向为引证关系。知识扩散显著的SUSTAINABILITY(2022)、AGRICULTURAL WATER MANAGEMENT(2019)、AGRICULTURAL WATER MANAGEMENT(2020)、AGRICULTURAL WATER MANAGEMENT(2021)、AGRICULTURAL WATER MANAGEMENT(2022)、AGRICULTURAL WATER MANAGEMENT(2023)、WATER(2021)、WATER(2022)、WATER(2023)、JOURNAL OF HYDROLOGY(2018)、JOURNAL OF HYDROLOGY(2019)；CHEMOSPHERE(2018)、ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY(2020)、ECOLOGICAL INDICATORS(2021)、ECOLOGICAL INDICATORS(2022)、SCIENCE OF THE TOTAL ENVIRONMENT(2019)、APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH(2019)、APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH(2022)、JOURNAL OF ENVIRONMENTAL BIOLOGY(2018)、JOURNAL OF ENVIRONMENTAL BIOLOGY(2020)、JOURNAL OF ENVIRONMENTAL BIOLOGY(2021)、ECOHYDROLOGY(2019)；SUSTAINABILITY(2018)、SUSTAINABILITY(2019)、SUSTAINABILITY(2020)、SUSTAINABILITY(2021)、WATER(2019)；ECOLOGICAL INDICATORS(2019)、ECOHYDROLOGY(2018)、ECOHYDROLOGY(2022)、AQUATIC SCIENCES(2020)；ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH(2019)、ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH(2020)、CHEMOSPHERE(2023)。
10.1016/j.atmosenv.2018.04.004
| DI | 10.1016/j.atmosenv.2018.04.004 |
| TC | 101.00 |
| PY | 2018-01-01 |
| TI | PM2.5 forecasting using SVR with PSOGSA algorithm based on CEEMD, GRNN and GCA considering meteorological factors |
| AF | Zhu, Suling ; Lian, Xiuyuan ; Wei, Lin ; Che, Jinxing ; Shen, Xiping ; Yang, Ling ; Qiu, Xuanlin ; Liu, Xiaoning ; Gao, Wenlong ; Ren, Xiaowei ; Li, Juansheng |
| C1 | Lanzhou Univ ; Nanchang Inst Technol |
| C1 | 中国 |
| AB | the pm2.5 is the culprit of air pollution, and it leads to respiratory system disease when the fine particles are inhaled. therefore, it is increasingly significant to develop an effective model for pm2.5 forecasting and warnings that informs people to foresee the air quality. people can reduce outdoor activities and take preventive measures if they know the air quality is bad ahead of time. in addition, reliable forecasting results can remind the relevant departments to control and reduce pollutants discharge. according to our knowledge, the current hybrid forecasting techniques of pm2.5 do not take the meteorological factors into consideration. actually, meteorological factors affect the concentrations of air pollution, but it is unclear whether meteorological factors are helpful for improving the pm2.5 forecasting results or not. this paper proposes a hybrid model called ceemd-psogsa-svr-grnn, based on complementary ensemble empirical mode decomposition (ceemd), particle swarm optimization and gravitational search algorithm (psogsa), support vector regression (svr), generalized regression neural network (grnn) and grey correlation analysis (gca), for the daily pm2.5 concentrations forecasting. the main steps of proposed model are described as follows: the original pm2.5 data decomposition with ceemd, optimal svr selection with psogca, meteorological factors selection with gca, residual revision by grnn and forecasting results analysis. three cities (chongqing, harbin and jinan) in china with different characteristics of climate, terrain and pollution sources are selected to verify the effectiveness of proposed model, and ceemd-psogsa-svr*, eemd-psogsa-svr, psogsa-svr, ceemd-pso-svr, ceemd-gsa-svr, ceemd-gwo-svr are considered to be compared models. the experimental results show that the hybrid ceemd-psogsa-svr-grnn model outperforms other six compared models. therefore, the proposed ceemd-psogsa-svr-grnn model can be used to develop air quality forecasting and warnings. |
| DI | 10.1016/j.agwat.2019.105758 |
| TC | 79.00 |
| PY | 2019-01-01 |
| TI | Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data |
| AF | Fan, Junliang ; Ma, Xin ; Wu, Lifeng ; Zhang, Fucang ; Yu, Xiang ; Zeng, Wenzhi |
| C1 | Northwest A&F Univ ; Southwest Univ Sci & Technol ; Nanchang Inst Technol ; Wuhan Univ |
| C1 | 中国 |
| AB | accurate estimation of reference evapotranspiration (eto) is required in many fields, e.g. irrigation scheduling design, agricultural water management, crop growth modeling and drought assessment. nevertheless, reliable estimation of eto is difficult when lack of complete or long-term meteorological data at the target station. this study evaluated the efficiency of a new tree-based soft computing model, light gradient boosting machine (lightgbm), for estimating daily eto using limited local (target-station) and external (cross-station) meteorological data from 49 weather stations in humid subtropical region of china, including 16 in jiangxi province and other 33 in the region. the performance of lightgbm was compared with the tree-based m5 model tree (m5tree) and random forests (rf) as well as four empirical models (hargreaves-samani, tabari, makkink and trabert). eight input combinations of daily meteorological data including maximum temperature (t-max), minimum temperature (t-min), relative humidity (h-r), wind speed at 2 m height (u-2), extraterrestrial solar radiation (r-a) and global solar radiation (r-s) calculated from sunshine duration (n) for the period 2001-2015 were used to test the models. the results showed that lightgbm was superior to m5tree and rf in local applications under all input combinations during testing, with average root mean square error (rmse) of 0.08-0.58 mm d(-1), 0.11-0.62 mm d(-1) and 0.13-0.60 mm d(-1), respectively. m5tree performed slightly better than rf under input combinations 6-8, whereas rf outperformed m5tree under the other input combinations. however, all three soft computing models produced much better daily eto estimates than the corresponding empirical models with the same input variables. r-s was the most influential meteorological variable for daily eto estimation in this region, followed by t-max and t-min, h-r and finally u-2. in external applications, lightgbm also generally performed better than the rf, m5tree and empirical models. soft computing models developed with meteorological data from station 57894, having the most similar climatic characteristics to the other stations, gave satisfactory eto estimates for the 15 cross stations in jiangxi province, even for the other 33 stations across the humid subtropical region of china. lightgbm was proved to be efficient and exhibit good generalization capability in both local and external applications, which was thus recommended as an alternative model for daily eto estimation. |
| DI | 10.1016/j.jclepro.2018.02.272 |
| TC | 76.00 |
| PY | 2018-01-01 |
| TI | Toward cleaner production: What drives farmers to adopt eco-friendly agricultural production? |
| AF | Zhang, Liguo ; Li, Xuerong ; Yu, Jiangli ; Yao, Xiaoli |
| C1 | Jiangxi Univ Finance & Econ ; Nanchang Inst Technol ; Inha Univ |
| C1 | 中国 ; 韩国 |
| AB | due to the indiscriminate use of chemical inputs like pesticides, serious agricultural diffused pollution is arising, not only with the ecological environment damaging, but also with the agriculture sustainable development restricted. it is imperative for china to reduce pesticides use. under the decentralized production background, farmers’ willingness to reduce pesticides is worth discussing. this paper aims to explore farmers’ willingness to reduce pesticides use based on its determinants analysis. a structured questionnaire was administered to a random sample of 924 farmers in rural china. binary logistic regression model was used to examine the determinants. the results showed that farmers’ environmental concern, pesticides residues cognition, agro-products quality concern and input controls positively and significantly influence farmers’ willingness to reduce pesticides, while non-agricultural income share influence negatively. results also reveal that farmers’ self-discipline is more effective than government regulations; enhancing farmers’ self-discipline is important to guide farmers toward environmentally-friend measures in agricultural production. this paper recommended that policy makers take measures to improve farmers’ environmental awareness and strengthen input supervision. improved effectiveness of pesticides usage is also needed. (c) 2018 elsevier ltd. all rights reserved. |
| DI | 10.1016/j.agwat.2019.105986 |
| TC | 74.00 |
| PY | 2020-01-01 |
| TI | Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China |
| AF | Zou, Haiyang ; Fan, Junliang ; Zhang, Fucang ; Xiang, Youzhen ; Wu, Lifeng ; Yan, Shicheng |
| C1 | Northwest A&F Univ ; Nanchang Inst Technol |
| C1 | 中国 |
| AB | spring maize is one of the major cereal crops in the arid and semi-arid regions of northwest china, but limited water resources and low water/fertilizer use efficiency largely restrict the sustainable development of local agriculture. a two-year field experiment was conducted to explore the effects of water/fertilizer interaction on aboveground biomass, grain yield, crop water productivity (cwp), partial factor productivity (pfp) and economic benefits of spring maize. particularly, the optimized combination of drip irrigation and fertilization regimes for high grain yield, cwp and economic benefits were attained by multiple regression analysis and likelihood estimation. the irrigation levels included i-60 (60 % etc, etc is the crop evapotranspiration), i-75, i-90 and i-105 in 2015, and i-60, i-80, i-100 and i-120 in 2016; the n-p2o5-k2o fertilization levels (kg ha(-1)) consisted of f-60 (60-30-30), f-120 (120-60-60), f-180 (180-90-90) and f-240 (240-120-120), corresponding to low, medium, medium high and normal high fertilization rates, respectively. aboveground biomass, grain yield, cwp, pfp and net returns generally increased as irrigation and fertilization amount increased, except for that cwp and pfp constantly decreased with increasing irrigation and fertilizer amounts, respectively. there were significant interaction effects on these indexes in both years. the highest yields were 18.81 mg ha(-1) at i105f180 and 20.53 mg ha(-1) at i100f180, the highest cwp were 3.32 kg m(-3) at i90f180 and 3.99 kg m(-3) at i100f180, and the highest net returns were 17,482 cny ha(-1) at i105f180 and 20,174 cny ha(-1) at i100f180 in 2015 and 2016, respectively. maize yield, cwp and net returns reached >= 95 % of their maximum values simultaneously when irrigation amount ranged 93%similar to 126% et c and fertilizer (n-p2o5-k2o) amount ranged 124-62-62 similar to 228-114 – 114 kg ha(-1). the overall benefits of maize yield, cwp and net returns were finally maximized with irrigation amount of 109 % etc (474 mm) and medium high fertilizer (n-p2o5-k2o) amount of 184-92 – 92 kg ha(-1). this study can provide a guideline for appropriate water and fertilizer management for sustainable spring maize production in the (semi-) arid region of northwest china. |
| DI | 10.1016/j.jhydrol.2019.123960 |
| TC | 71.00 |
| PY | 2019-01-01 |
| TI | Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China |
| AF | Wu, Lifeng ; Zhou, Hanmi ; Ma, Xin ; Fan, Junliang ; Zhang, Fucang |
| C1 | Nanchang Inst Technol ; Henan Univ Sci & Technol ; Southwest Univ Sci & Technol ; Northwest A&F Univ |
| C1 | 中国 |
| AB | reliable and accurate prediction of reference evapotranspiration (eto) is a precondition for the efficient management and planning of agricultural water resources as well as the optimal design of irrigation scheduling. this study evaluated the performances of four bio-inspired algorithm optimized extreme learning machine (elm) models, i.e. elm with genetic algorithm (elm-ga), elm with ant colony optimization (elm-aco), elm with cuckoo search algorithm (csa) and elm with flower pollination algorithm (elm-fpa), for predicting daily eto across china by using a five-fold cross-validation approach. these models were further compared with the classical elm model parameterized by the grid search method to demonstrate their capability and efficiency. daily maximum and minimum ambient temperatures, wind speed, relative humidity and global solar radiation data during 2001-2015 collected from eight meteorological stations in contrasting climates of china were utilized to train, validate and test the models. the results showed that eto values predicted by all elm models agreed well with the corresponding fao-56 penman-monteith values, with r-2, rmse, nrmse and mae ranging 0.9766-0.9967, 0.0896-0.2883 mm day(-1), 3.2910%-11.7653% and 0.0708-0.1998 mm day(-1), respectively. the elm-fpa model (r-2 = 0.9930, rmse = 0.1589 mm day(-1), nrmse = 5.5406% and mae = 0.1188 mm day(-1)) slightly out-performed the elm-csa model (r-2 = 0.9922, rmse = 0.1619 mm day(-1), nrmse = 5.6864% and mae = 0.1200 mm day(-1)) during testing, both of which were superior to the elm-aco (r-2 = 0.9912, rmse = 0.1730 mm day(-1), nrmse = 6.0816% and mae = 0.1254 mm day(-1)) and elm-ga (r-2 = 0.9889, rmse = 0.1895 mm day(-1), nrmse = 6.7197% and mae = 0.1310 mm day(-1)) models, followed by the standalone elm model (r-2 = 0.9856, rmse = 0.2104 mm day(-1), nrmse = 7.1693% and mae = 0.1408 mm day(-1)). the four hybrid elm models exhibited higher improvements in daily eto prediction in the temperate monsoon and (sub)tropical monsoon climates (with average decrease in rmse of 14.0%, 25.1%, 31.4% and 33.1%, respectively), compared with those in the temperate continental and mountain plateau climates (with average decrease in rmse of 5.2%, 9.8%, 12.9% and 14.1%, respectively). the results advocated the capability of bio-inspired optimization algorithms, especially the fpa and csa algorithms, for improving the performance of the conventional elm model in daily eto prediction in contrasting climates of china. |
| DI | 10.1111/gcb.13983 |
| TC | 68.00 |
| PY | 2018-01-01 |
| TI | Vegetation cover-another dominant factor in determining global water resources in forested regions |
| AF | Wei, Xiaohua ; Li, Qiang ; Zhang, Mingfang ; Giles-Hansen, Krysta ; Liu, Wenfei ; Fan, Houbao ; Wang, Yi ; Zhou, Guoyi ; Piao, Shilong ; Liu, Shirong |
| C1 | Univ British Columbia ; Univ Elect Sci & Technol China ; Nanchang Inst Technol ; Chinese Acad Sci ; Peking Univ ; Chinese Acad Forestry |
| C1 | 加拿大 ; 中国 |
| AB | forested catchments provide critically important water resources. due to dramatic global forest change over the past decades, the importance of including forest or vegetation change in the assessment of water resources under climate change has been highly recognized by intergovernmental panelon climate change (ipcc); however, this importance has not yet been examined quantitatively across the globe. here, we used four remote sensing-based indices to represent changes in vegetation cover in forest-dominated regions, and then applied them to widely used models: the fuh model and the choudhury-yang model to assess relative contributions of vegetation and climate change to annual runoff variations from 2000 to 2011 in forested landscape (forest coverage >30%) across the globe. our simulations show that the global average variation in annual runoff due to change in vegetation cover is 30.7% +/- 22.5% with the rest attributed to climate change. large annual runoff variation in response to vegetation change is found in tropical and boreal forests due to greater forest losses. our simulations also demonstrate both offsetting and additive effects of vegetation cover and climate in determining water resource change. we conclude that vegetation cover change must be included in any global models for assessing global water resource change under climate change in forest-dominant areas. |
| DI | 10.1007/s11430-020-9685-3 |
| TC | 68.00 |
| PY | 2021-01-01 |
| TI | Mapping the permafrost stability on the Tibetan Plateau for 2005-2015 |
| AF | Ran, Youhua ; Li, Xin ; Cheng, Guodong ; Nan, Zhuotong ; Che, Jinxing ; Sheng, Yu ; Wu, Qingbai ; Jin, Huijun ; Luo, Dongliang ; Tang, Zhiguang ; Wu, Xiaobo |
| C1 | Chinese Acad Sci ; CAS Ctr Excellence Tibetan Plateau Earth Sci ; Univ Chinese Acad Sci ; Shanghai Normal Univ ; Nanjing Normal Univ ; Jiangsu Ctr Collaborat Innovat Geog Informat Reso ; Nanchang Inst Technol ; Hunan Univ Sci & Technol |
| C1 | 中国 |
| AB | data scarcity is a major obstacle for high-resolution mapping of permafrost on the tibetan plateau (tp). this study produces a new permafrost stability distribution map for the 2010s (2005-2015) derived from the predicted mean annual ground temperature (magt) at a depth of zero annual amplitude (10-25 m) by integrating remotely sensed freezing degree-days and thawing degree-days, snow cover days, leaf area index, soil bulk density, high-accuracy soil moisture data, and in situ magt measurements from 237 boreholes on the tp by using an ensemble learning method that employs a support vector regression model based on distance-blocked resampled training data with 200 repetitions. validation of the new permafrost map indicates that it is probably the most accurate of all currently available maps. this map shows that the total area of permafrost on the tp, excluding glaciers and lakes, is approximately 115.02 (105.47-129.59)x10(4) km(2). the areas corresponding to the very stable, stable, semi-stable, transitional, and unstable types are 0.86×10(4), 9.62×10(4), 38.45×10(4), 42.29×10(4), and 23.80×10(4) km(2), respectively. this new map is of fundamental importance for engineering planning and design, ecosystem management, and evaluation of the permafrost change in the future on the tp as a baseline. |
| DI | 10.1016/j.agwat.2020.106547 |
| TC | 65.00 |
| PY | 2021-01-01 |
| TI | Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models |
| AF | Fan, Junliang ; Zheng, Jing ; Wu, Lifeng ; Zhang, Fucang |
| C1 | Northwest A&F Univ ; Nanchang Inst Technol |
| C1 | 中国 |
| AB | accurate measurement or estimation of plant transpiration (t) is of great significance for understanding crop water use, predicting crop yield and designing irrigation schedule in agricultural production. nevertheless, direct measurement of t is difficult, expensive, destructive and time-consuming. this study explored the applicability of support vector machines (svm), extreme gradient boosting (xgboost), single-layer artificial neural networks (ann) and deep neural networks (dnn) models for estimating daily t of summer maize in northwest china. four input combinations of meteorological (t-max, t-min, rh, u and r-s), soil (swc) and crop (lai) variables were employed to explore the effects of various variables on daily t estimation. the whole dataset during the four maize growing seasons of 2015-2018 were randomly divided into two subsets: 80% for model training and 20% for model testing. the results showed that the performances of the four machine learning models improved by 10.1-13.1%, 15.7-23.8% and 36.1-46.2% in terms of rmse during testing when swc (0.556-0.675 mm d(-1)), lai (0.477-0.621 mm d(-1)) and both of them (0.344-0.482 mm d(-1)) were further incorporated respectively, compared to models with only meteorological variables as inputs (0.621-0.754 mm d(-1)). dnn models (r-2 = 0.816-954, rmse = 0.344-0.621 d(-1), mae = 0.256-0.445 mm d(-1) and nse = 0.902-0.972) slightly outperformed svm models (r-2 = 0.731-0.948, rmse = 0.370-0.688 mm d(-1), mae = 0.286-0.500 mm d(-1) and nse = 0.880-0.967) during testing, followed by xgboost models (r-2 = 0.739-0.929, rmse = 0.455-0.721 mm d(-1), mae = 0.355-0.519 mm;d(-1) and nse = 0.872-0.947) and ann models (r-2 = 0.683-0.913, rmse = 0.482-0.754 mm d(-1), mae = 0.368-0.545 mm d(-1) and nse = 0.840-0.936) under the four input combinations. the incorporation of swc or/and lai in the machine learning models is highly recommended for accurate daily maize t estimation. the dnn model is more effective for daily maize t estimation due to its advantage in modeling high-order complex relationships between t and its driving variables through multiple levels of feature abstraction. |
| DI | 10.1007/s11356-019-05031-2 |
| TC | 63.00 |
| PY | 2019-01-01 |
| TI | Single and combined effects of microplastics and roxithromycin on Daphnia magna |
| AF | Zhang, Peng ; Yan, Zhenhua ; Lu, Guanghua ; Ji, Yong |
| C1 | Hohai Univ ; Tibet Agr & Anim Husb Univ ; Nanchang Inst Technol |
| C1 | 中国 |
| AB | there is a rising concern about the pollution of microplastics (plastic particles <5mm) in water due to their physicochemical properties, especially their interaction with organic contaminants; however, such knowledge is still limited. the mass production and consumption of medication for the treatment of infectious diseases in human and animals have led to the ubiquity of antibiotics in the environment. we studied the single and joint effects of microplastics (1-m and 10-m polystyrene particles, ps) and roxithromycin (rox) on daphnia magna through the acute and sublethal toxicity tests. the 48-h median effective concentration (ec50) of 1-m and 10-m ps to d. magna was 66.97mg/l and 199.94mg/l, respectively, while the value of rox was 20.28mg/l. malondialdehyde (mda) levels and the activities of four enzymatic biomarkers, including superoxide dismutase (sod), catalase (cat), glutathione peroxidase (gpx), and glutathione s-transferase (gst), were further detected to assess the oxidative stress caused in d. magna caused. the results showed that 48-h exposure to ps (0.1mg/l) or rox (0.01mg/l) alone activated the activities of cat and gst and mda levels. when compared with the rox alone, the responses of gpx and mda in d. magna co-exposed to 1-m ps were significantly decreased, while co-exposure to 10-m ps significantly decreased the responses of gst and mda. furthermore, the integrated biomarker response version 2 (ibrv2) analysis revealed that co-exposure to 1-m ps and rox led to the strongest biological responses in d. magna. our findings underlined that microplastics should be a concern when they interact with the co-existence of pollutants in the aquatic environment. |
| DI | 10.1016/j.jhydrol.2018.09.055 |
| TC | 57.00 |
| PY | 2018-01-01 |
| TI | Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models for |
| AF | Lu, Xianghui ; Ju, Yan ; Wu, Lifeng ; Fan, Junliang ; Zhang, Fucang ; Li, Zhijun |
| C1 | Nanchang Inst Technol ; Northwest A&F Univ |
| C1 | 中国 |
| AB | accurate estimation of pan evaporation (ep) is required for many applications, e.g., water resources management, irrigation system design and hydrological modeling. however, the estimation of ep for a target station can be difficult as a result of partial or complete lack of local meteorological data under many conditions. in this study, daily ep was estimated from local (target-station) and cross-station data in the poyang lake watershed of china using four empirical models and three tree-based machine learning models, including m5 model tree (m5tree), random forests (rfs) and gradient boosting decision tree (gbdt). daily meteorological data during 2001-2010 from 16 weather stations were used to train the models, while the data from 2011 to 2015 were used for testing. two cross-station applications were considered between each of the 16 stations and the other 15 stations. the results showed that the radiation-based priestley-taylor model (on average rmse = 1.13 mm d(-1), nse = 0.53, r-2 = 0.57, mbe = 0.21 mm d(-1)) gave the most accurate daily ep estimates among the four empirical models during testing, while the mass transfer-based trabert model (on average rmse = 1.38 mm d(-1), nse = 0.25, r-2 = 0.46, mbe = 0.65 mm d(-1)) performed worst. the gbdt model outperformed the rfs model, m5tree model and the empirical models under the same input combinations in terms of prediction accuracy (on average rmse = 0.86 mm d(-1), nse = 0.68, r-2 = 0.73, mbe = 0.07 mm d(-1)) and model stability (average percentage increase in testing rmse = 16.3%). the rmse values generally increased with the increase in the distance of two cross stations. a distance of less than 100 km between two cross stations is highly recommended for cross-station applications with satisfactory prediction accuracy (median percentage increase in rmse <5% for cross-station application #1 and <20% for application #2) in the poyang lake watershed of china and maybe elsewhere with similar climates. |
10.1016/j.chemosphere.2018.02.045
| DI | 10.1016/j.chemosphere.2018.02.045 |
| TC | 49.00 |
| PY | 2018-01-01 |
| TI | Heavy metal accumulation, risk assessment and integrated biomarker responses of local vegetables: A case study along the Le’an river |
| AF | Ji, Yong ; Wu, Peijun ; Zhang, Jie ; Zhang, Jun ; Zhou, Youfeng ; Peng, Yongwen ; Zhang, Shifeng ; Cai, Gaotang ; Gao, Guiqing |
| C1 | Nanchang Inst Technol ; Off Poyang Lake Water Control Project Construct J ; Hohai Univ ; Beijing Forestry Univ ; Jiangxi Engn Res Ctr Water Engn Safety & Resource |
| C1 | 中国 |
| AB | in this research, ganzhou chinese cabbage (brassica rapa pekinensis), native purple garlic (allium sativum l) and leping radish (raphanus sativus l) widely planted and distributed along the le’an river were chosen in the present study. soil physical-chemical properties, nutrients contents as well as heavy metals elements accumulated in both soils and vegetables collected from 24 sites were analyzed by lab analysis combined with statistical method which was also used for calculation of contamination factor, pollution indexes and hazardous index. heavy metals accumulation in soils were revealed with higher level, and copper and cadmium exceeded the background values by 8.82 and 16.73 times on average, which were also significantly related with the distribution of nonferrous metal processing enterprises. heavy metal elements accumulated in vegetables were fully consistent with the finding of pollution characteristics in soils. peroxidase biomarkers in vegetables, including superoxide dismutase (sod), catalase (cat), peroxidase (pod), reduced glutathione (gsh) and lipoperoxidation (as tbars), as well as integrated biomarker responses (ibr) were determined to give a reliable response after exposing of contaminants. heavy metals accumulation ability and biomarker responses for three vegetables were usually determined in the following decrease trend: ganzhou chinese cabbage > native purple garlic > leping radish. compared with peroxidase biomarkers activities or contents of control site, all the measured biomarkers in polluted sites showed significantly responses, indicating potential relationship between pollutants stresses and biomarker responses. this study also revealed that the ibr values were coordinated well with the pollutants concentrations. (c) 2018 elsevier ltd. all rights reserved. |
| DI | 10.1016/j.cej.2021.130283 |
| TC | 45.00 |
| PY | 2021-01-01 |
| TI | Activation of persulfate by magnetic zirconium-doped manganese ferrite for efficient degradation of tetracycline |
| AF | Liu, Zhanmeng ; Gao, Zhimin ; Wu, Qin |
| C1 | Nanchang Inst Technol ; East China Jiao Tong Univ |
| C1 | 中国 |
| AB | tetracycline (tc) is a typical antibiotic that is eco-toxic and easily causes bacterial resistance, and thus it is necessary to eliminate tetracycline from the water environment. in this study, an innovative tc removal approach was developed by activation of persulfate (pds) using oxide-based materials fabricated via lowtemperature co-precipitation: zr oxide/mnfe2o4 (zro2/mnfe2o4). the effects of fe/zr molar ratio, the dose of zro2/mnfe2o4 and pds, initial ph, tc concentration, co-existing anions, natural organic matter on tc degradation were investigated. under optimal conditions (fe/zr = 10, pds = 6.0 mm, zro2/mnfe2o4-10 = 0.20 g/l, and ph = 7.1), the tc degradation efficiency of 85.2% could be achieved after 120 min. besides, the tc degradation efficiency was different extents inhibited by inorganic anions (h2po-4 >hco3- > no3- > cl-) and organic substances (edta > ha). furthermore, the results of quenching experiments, electron paramagnetic resonance (epr) analysis, and x-ray photoelectron spectroscopy (xps) spectra analysis demonstrated that three radicals (hydroxyl radicals (.oh), sulfate radicals (so.-4 ), and superoxide radicals (o.-2 )) contribute to rapid tc degradation in zro2/mnfe2o4-10/pds system. particularly, the zro2/mnfe2o4-10 exhibited superparamagnetic property and excellent stability, which was conducive to the effective recovery and utilization of the catalyst through the external magnetic field. based on the degradation products determined by ultra-performance liquid chromatography-mass spectrometry (uplc-ms), the possible four degradation pathways of tc degradation were proposed in the zro2/mnfe2o4-10/pds system. this study indicates the zro2/mnfe2o4 composite is an efficient and environmentally catalyst for pds oxidation of organic pollutants. |
| DI | 10.1007/s11368-018-1934-2 |
| TC | 45.00 |
| PY | 2018-01-01 |
| TI | Soil pH rather than nutrients drive changes in microbial community following long-term fertilization in acidic Ultisols of southern China |
| AF | Liu, Jia ; Liu, Ming ; Wu, Meng ; Jiang, Chunyu ; Chen, Xiaofen ; Cai, Zejiang ; Wang, Boren ; Zhang, Jie ; Zhang, Taolin ; Li, Zhongpei |
| C1 | Chinese Acad Sci ; Univ Chinese Acad Sci ; Jiangxi Acad Agr Sci ; Chinese Acad Agr Sci ; Nanchang Inst Technol |
| C1 | 中国 |
| AB | long-term intensive cultivation and heavy fertilization improve the nutritional conditions in acidic ultisols, but also sharply accelerate soil acidification. however, the impact of such dramatic environmental changes on soil microorganisms is unclear. the aims of this work were to investigate the responses of microbial community composition and metabolic function to long-term fertilization, and to determine the key factors that primarily drive microbial changes in acidic ultisols.
a long-term fertilization experiment under a winter wheat-summer maize rotation was established in 1990 in acidic ultisols of southern china. soils were collected from four treatments in june 2014: (1) non-fertilization control (ck); (2) only n fertilization (n); (3) n, p, and k fertilization (npk); and (4) npk plus manure (npkm; 70% of total n obtained from manure). the amount of n used in all n treatments was 300 kg n ha(-1) year(-1). the soil ph, cation exchange capacity (cec), soil organic carbon (soc), total nitrogen (tn), phosphorus (tp) and potassium (tk), available nitrogen (an), phosphorus (ap), and potassium (ak) were measured. soil microbial community composition and metabolic function were determined by phospholipid fatty acids analysis (plfa) and community-level physiological profile (clpp) method, respectively. compared with ck, npkm significantly increased total plfa biomass and average well color development (awcd); npk increased total plfa biomass by 2.2 times, but its awcd was not significantly different from ck, indicating that microbial metabolic efficiency in npk decreased. n decreased total plfa biomass by 27.9%, while almost completely inhibiting metabolic activity. npkm maintained microbial functional diversity indexes at similar levels as ck, while npk and n significantly decreased microbial functional diversity indexes. redundancy analysis (rda) revealed that soil microbial community composition and metabolic pattern were more stably maintained by application of manure compared to chemical fertilizers. soil ph showed the primary effect on microbial community composition, metabolic activity, and functional diversity indexes. this research demonstrated that the negative effects of ultisol acidification induced by long-term application of chemical n fertilizer on microorganisms overwhelmed the positive effects of soil nutrition improvement. the inhibiting effect of serious acidification on microbial metabolic function was stronger than that on community composition. microorganisms live in a low active metabolic state to resist serious ultisols acidification. therefore, fertilization in acidic ultisols should be based on the premise of preventing soil further acidification. |
| DI | 10.1016/j.jhydrol.2019.124293 |
| TC | 44.00 |
| PY | 2020-01-01 |
| TI | Comparison of support vector regression and extreme gradient boosting for decomposition-based data-driven 10-day streamflow forecasting |
| AF | Yu, Xiang ; Wang, Yuhao ; Wu, Lifeng ; Chen, Genhua ; Wang, Lei ; Qin, Hui |
| C1 | Nanchang Univ ; Nanchang Inst Technol ; Huazhong Univ Sci & Technol |
| C1 | 中国 |
| AB | we recently addressed data-driven monthly streamflow forecasting using a decomposition-based model that relies on fourier transform (ft) to decompose the monthly streamflow time series into 4 components, with each component comprising of contiguous frequencies and being forecasted independently by support vector regression (svr). the model, called ft-svr, is capable of achieving near-perfect monthly inflow forecasting for china’s three gorges dam (tgd). in this paper, we adapt ft-svr to 10-day streamflow forecasting and the tgd is still taken as the case for study. the 10-day inflow time series is decomposed into 7 components, and each component contains an appropriate small number of contiguous frequencies. we also investigate forecasting each decomposed component by extreme gradient boosting (xgboost) and the investigated model is accordingly named as ft-xgboost. xgboost uses an ensemble of trees as the input-output mapping. the maximum number of iterations for solving convex quadratic programming in svr is considerably reduced and the parameter calibration process to develop each independent svr or xgboost model is enhanced. we compare ft-svr and ft-xgboost on three different decomposition strategies: the centered 10-day inflow time series, 4 decomposed components like our previous work, and 7 components. experimental results on the tgd case study demonstrate that ft-svr with the decomposition strategy of 7 components is able to derive again near-perfect 10-day streamflow forecasting results, significantly better than ft-svr with the other decomposition strategies and ft-xgboost with all the decomposition strategies, while with parameter calibration being performed as efficiently as ft-xgboost on each decomposition strategy. |
| DI | 10.1016/j.jclepro.2020.120276 |
| TC | 44.00 |
| PY | 2020-01-01 |
| TI | Eco-friendly fabrication of a cost-effective cellulose nanofiber-based aerogel for multifunctional applications in Cu(II) and organic pollutants removal |
| AF | Ji, Yong ; Wen, Yingying ; Wang, Zhong ; Zhang, Shifeng ; Guo, Minjie |
| C1 | Nanchang Inst Technol ; Beijing Forestry Univ ; Tianjin Univ Sci & Technol |
| C1 | 中国 |
| AB | eco-friendly and cost-effective designs of adsorbents are highly desirable to realize highly efficient removal of heavy metals and organic pollutants from wastewater. herein, the biomimetic co-deposition from polyphenol-substance tannic acid induced the grafting of renewable cardanol-derived siloxane on a cellulose nanofiber (cnf) framework to form an eco-friendly and low-cost microporous aerogel to capture cu(ii) and organic contamination. owing to the three-dimensional cellulosic porous structure and easily accessible active sites, the as-prepared aerogel manifested a low density and favorable hydrophobicity, which were vital for highly efficient absorption toward cu(ii) and oil droplets. the saturated adsorption capacity of modified aerogels for cu(ii) was found to be 45.6 mg/l, which is higher than the majority of reported biobased adsorbents. based on thermodynamic and kinetic studies, the cu(ii) adsorption closely approximated that of a spontaneous and endothermic chemisorption process. in addition, the modified aerogel effectively collected various oils and organic solvents from water, with maximum absorption capacities up to 108 g/g (chloroform); it also exhibited good stability in a cu(ii)/ chloroform binary system. the multiple separation efficiency indicated that the obtained aerogel is very suitable for application in practical water purification. it is particularly important that the whole synthesis process of modified aerogels is green and economical without additional toxic agents; this allows them to significantly reduce secondary pollution to the environment after use, contamination emissions to the environment. these results demonstrated that the novel nanostructured composites with a naturally functional polymer layer have unexpected potential as an ideal candidate for practical water purification. (c) 2020 elsevier ltd. all rights reserved. |
| DI | 10.1016/j.envres.2021.112544 |
| TC | 44.00 |
| PY | 2022-01-01 |
| TI | Perovskite oxide for emerging photo(electro)catalysis in energy and environment |
| AF | Li, Ming ; Han, Ning ; Zhang, Xi ; Wang, Shuo ; Jiang, Man ; Bokhari, Awais ; Zhang, Wei ; Race, Marco ; Shen, Zhangfeng ; Chen, Ruofei ; Mubashir, Muhammad ; Khoo, Kuan Shiong ; Sen Teo, Swee ; Show, Pau Loke |
| C1 | Jilin Jianzhu Univ ; Nanchang Inst Technol ; Katholieke Univ Leuven ; Fuzhou Univ ; Shandong Univ Technol ; Brno Univ Technol ; COMSATS Univ Islamabad CUI ; Univ Cassino & Southern Lazio ; Jiaxing Univ ; Cent South Univ ; Zhongkai Univ Agr & Engn ; Asia Pacific Univ Technol & Innovat ; UCSI Univ ; Univ Nottingham |
| C1 | 中国 ; 比利时 ; 捷克 ; 巴基斯坦 ; 意大利 ; 马来西亚 |
| AB | using solar energy to catalyse photo-driven processes to address the energy crisis and environmental pollution plays a role in the path to a sustainable society. many oxide-based materials, especially perovskite oxides, have been widely investigated as catalysts for photocatalysis in energy and environment because of the low-cost and earth-abundant and good performance. at this stage, there is a need to present a scientific-based evaluation of the technologies developed so far and identify the most sustainable technologies and the existing limitations and opportunities for their commercialisation. this work comprehensively investigated the outcomes using various scientometric indices on perovskite oxide-based photo(electro)catalysts for water splitting, nitrogen fixation, carbon dioxide conversion, organic pollutant degradation, current trends and advances in the field. according to the results achieved, efforts in both energy and environment based on perovskite oxides have been initiated in the 1990s and accelerated since the 2010s. china and the united states were identified as the most contributing countries. based on the results achieved in this study, the main milestones and current trends in the development of this field have been identified. the aim of this research is to provide useful guidelines for the further investigation of perovskite oxide-based catalysts for photoelectrocatalysis and photocatalysis both in energy and environment on the applications such as water splitting, nitrogen fixation, carbon dioxide conversion, and wastewater treatment. |
| DI | 10.1016/j.jher.2017.10.005 |
| TC | 42.00 |
| PY | 2018-01-01 |
| TI | A data-driven model based on Fourier transform and support vector regression for monthly reservoir inflow forecasting |
| AF | Yu, Xiang ; Zhang, Xueqing ; Qin, Hui |
| C1 | Nanchang Inst Technol ; Hong Kong Univ Sci & Technol ; Huazhong Univ Sci & Technol |
| C1 | 中国 |
| AB | the recent trend for data-driven streamflow forecasting is to hybridize artificial intelligence with decomposition pre-processing. in this paper, a decomposition-based data-driven model called ft-svr that exploits both fourier transform (ft) and support vector regression (svr) techniques is proposed for monthly reservoir inflow forecasting and the three gorges dam (tgd) located on the yangtze river in china is taken as the case for study. as the inflow time series contains oscillations of disparate scales, ft-svr uses ft to appropriately decompose the series into multiple decomposed components, with each component comprising of neighboring frequencies and having a clear physical meaning. svr is employed to develop an independent forecasting model for each decomposed component. the development of each svr model involves data normalization, input selection based on autocorrelation function and partial autocorrelation function analysis, and parameter calibration by a metaheuristic. ft-svr is compared with three other models which are the same with ft-svr except that one uses ensemble empirical mode decomposition, one uses singular spectrum analysis for decomposition, and the other one performs no decomposition. experimental results demonstrate that ft-svr is able to give almost perfect monthly inflow forecasting for the tgd and significantly outperforms the three other models, in terms of evaluation criteria including root mean squared error, correlation coefficient, mean average percentage error, nash-sutcliffe efficiency coefficient, and relative error of maximum/minimum monthly inflow. |
| DI | 10.1016/j.jclepro.2019.119264 |
| TC | 41.00 |
| PY | 2020-01-01 |
| TI | Predicting daily diffuse horizontal solar radiation in various climatic regions of China using support vector machine and tree-based soft computing models with local and extrinsic climatic data |
| AF | Fan, Junliang ; Wang, Xiukang ; Zhang, Fucang ; Ma, Xin ; Wu, Lifeng |
| C1 | Northwest A&F Univ ; Yanan Univ ; Southwest Univ Sci & Technol ; Nanchang Inst Technol |
| C1 | 中国 |
| AB | knowledge of diffuse horizontal solar radiation (r-d) on horizontal surfaces is a prerequisite for the design and optimization of active and passive solar energy systems such as the solar illumination system within a building, but it is unavailable in many worldwide locations and commonly predicted by readily available climatic variables. however, reliable prediction of r-d is difficult when lack of complete or previous climatic data at the target station. this study evaluated the performance of support vector machine (svm) and four tree-based soft computing models, i.e. m5 model tree (m5tree), random forest (rf), extreme gradient boosting (xgboost) and gradient boosting with categorical features support (catboost), for prediction of daily horizontal r-d when using limited local (scenario 1) and extrinsic (scenarios 2 and 3) climatic data. six input combinations of daily global solar radiation (rs), sunshine hour (n), maximum/minimum temperature (t-max/t-min) and relative humidity (rh) during 1996-2015 at 15 weather stations across various climatic rons of china were considered. the results demonstrated that, when lack of rs, the average root mean square error (rmse) was considerably increased across china (42.4%) in scenario 1, especially in the (sub)tropical monsoon ron (68.3%). svm offered the best combination of prediction accuracy and generalization capability in all scenarios, followed by catboost. catboost produced the closest daily r-d estimates to svm and satisfactory generalization capability. in scenario 2, catboost and svm models developed with climatic data from beijing gave the overall best daily r-d estimates over the 15 stations, while models developed with data from 14 weather stations in scenario 3 produced even better and steadier r-d estimates across china compared with those in scenario 2. the average computational time of svm (6.6 s) for a single sample was approximately 1.9 times that of catboost (3.5 s) in scenarios 1 and 2, while the corresponding value (842.6 s) was approximately 33.9 times that of catboost (24.9 s) in scenario 3. comprehensively considering prediction accuracy, generalization capability and computational efficiency, catboost is highly recommended to develop general models for daily r-d prediction in various climatic rons of china, particularly when lack of previous local climatic data. (c) 2019 elsevier ltd. all rights reserved. |
| DI | 10.1016/j.agwat.2019.05.035 |
| TC | 40.00 |
| PY | 2019-01-01 |
| TI | Response of fruit yield, fruit quality, and water use efficiency to water deficits for apple trees under surge-root irrigation in the Loess Plateau of China |
| AF | Zhong, Yun ; Fei, Liangjun ; Li, Yibo ; Zeng, Jian ; Dai, Zhiguang |
| C1 | Xian Univ Technol ; Nanchang Inst Technol |
| C1 | 中国 |
| AB | this study investigated the response of the fruit quality, fruit yield, and water use efficiency (wue) to regulated deficit irrigation (rdi) during the different growth stages of apple trees (molus pumila mill) in the loess plateau of northern china. different water deficit treatments were applied in 2016 and 2017 on a field planted with 5-year-old apple trees. the treatments included low (l), moderate (m), and severe (s) water deficit treatments during the bud burst to leafing (i), flowering to fruit set (ii), and fruit growth (iii) stages. compared with full irrigation (fi), water deficit treatment during the different growth stages had significant effects on the fruit quality, fruit yield, and wue of the apple trees. the l and m water deficit treatments during stage iii significantly reduced the apple yield by 10.89% and 13.46% in 2016 and 3.66% and 10.10% in 2017, respectively. a water deficit during stage iii decreased the single fruit weight, excellent-fruit percentage, and fruit water content by 2.79%-11.31%, 15.24%-20.36%, and 4.26%-10.07%, respectively, and increased fruit firmness, soluble solid content, and soluble reducing sugar content by 12.70%-21.31%, 13.83%-33.60%, and 10.13%-21.48%, respectively. the l and m water deficit treatments applied during stage i resulted in apple quality and yield that were similar to those resulting from the fi treatment, but the wue was significantly higher in the l and m water deficit treatments than in the fi treatment. the optimal period for water deficit treatment is stage ii, during which the highest yield and wue were found. the l and m treatments during stage ii increased the fruit yield by 13.93% and 13.28% in 2016 and 17.94% and 17.13% in 2017, respectively. the wue of the apple trees was higher with the ii-l and ii-m treatments (greater than 7 kg m(-3)) than with other treatments. in addition, water deficit treatment during stage ii caused a slight increase in fruit firmness and a slight decrease in fruit water content, which produces apples suitable for storage. single fruit weight, excellent-fruit percentage, and soluble solid and soluble reducing sugar content were significantly improved, making the apples sweeter; thus, a water deficit during stage ii had a significant positive effect on apple quality, with the i i-m treatment being optimal and the ii-l treatment being second best. the optimal water deficit treatment of the ii-m treatment enhances the fruit quality, yield, and wue of apple trees in water-scarce environments. |
以下在文献摘要基础上进一步提炼文献研究内容，提炼过程完全有计算机完成，提炼结果仍然需要人工校对完善。此部分的算法在不断优化，提炼的准确性会逐步挺高，敬请广大用户提出宝贵意见。
研究方向1围绕以下主题词开展:[Extreme Gradient Boosting][Reference Evapotranspiration][Machine Learning][Support Vector Regression][Cross Station][Support Vector Machine][Extreme Learning Machine][Transpiration][Forecasting][Random Forests][Gradient Boosting Decision Tree][Whale Optimization Algorithm][Fourier Transform][Penman-Monteith Equation][Random Forest][Pan Evaporation][Bat Algorithm][Catboost]。
Fan, Junliang等(2021)[1]study estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models，explored the applicability of support vector machines (svm), extreme gradient boosting (xgboost), single-layer artificial neural networks (ann) and deep neural networks (dnn) models for estimating daily t of summer maize in northwest china,showed that the performances of the four machine learning models improved by 10.Yan, Shicheng等(2021)[2]study a novel hybrid woa-xgb model for estimating daily reference evapotranspiration using local and external meteorological data: applications in arid and humid regions of china，proposed a novel hybrid extreme gradient boosting (xgb) model with the whale optimization algorithm (woa) to estimate daily et0 at four stations in the arid region and four stations in the humid region of china,showed that u-2 was the most influencing variable for daily et0 estimation in the arid region, followed by n/n and rh, while n/n was more important than rh and u-2 in the humid region.Zheng, Jing等(2021)[3]study estimation of rainfed maize transpiration under various mulching methods using modified jarvis-stewart model and hybrid support vector machine model with whale optimization algorithm，the blackbox-type svm-woa model was more suitable for estimating daily maize t after a careful calibration with adequate experimental data due to its advantage in modeling complex nonlinear relationships between t and its driving variables.Dong, Liming等(2021)[4]study estimating the pan evaporation in northwest china by coupling catboost with bat algorithm，estimated the potential of a novel hybrid machine learning model coupling bat algorithm (bat) and gradient boosting with categorical features support (catboost) for estimating daily pan evaporation in arid and semi-arid regions of northwest china,revealed that the new developed bat-cb model (rmse = 0.Fan, Junliang等(2021)[5]study medium-range forecasting of daily reference evapotranspiration across china using numerical weather prediction outputs downscaled by extreme gradient boosting，for the first time evaluated the forecasting performances of 16 d ahead daily weather variables and subsequent et0 at 51 weather stations across various climatic zones of china using the global ensemble reforecast v2 data provided by the national centers for environmental prediction (ncep) global ensemble forecast system (gefs) model,showed that the gefs forecasts downscaled by the xgboost model were more accurate than those downscaled by the inverse distance weighting (idw) and equidistant cumulative distribution functions matching (edcdfm) methods, with decreases in mean rmse of maximum temperature (t-max), minimum temperature (t-min), relative humidity (rh), wind speed (ws) and solar radiation (rs) by 36.Liu, Xiaoqiang等(2021)[6]study splitting and length of years for improving tree-based models to predict reference crop evapotranspiration in the humid regions of china，evaluates the effects of using five data splitting strategies and three different time lengths of input datasets on predicting et0,showed that the accuracy of the rf (r-2 = 0.Qian, Long等(2021)[7]study a study of the conversion of different evaporation pans in south china based on the extreme learning machine model，use an extreme learning machine (elm) model to predict and convert e20 (diameter 0.Dong, Jianhua等(2022)[8]study simulation of dew point temperature in different time scales based on grasshopper algorithm optimized extreme gradient boosting，collected meteorological data namely actual vapor pressure (ea), maximum air temperature (tmax), minimum air temperature (tmin), maximum relative humidity (rhmax), minimum relative humidity (rhmin), atmospheric pressure (pa), 2 m high wind speed (ud), during 2016-2019 on daily and hourly time scales from the sijiqinglin station in china to train, test, and validate each model,showed that the goa-xgboost model performed best, and the rf model had severe over-fitting problems during the validation phase at daily time scale.Qiu, Rangjian等(2022)[9]study comparison of machine learning and dynamic models for predicting actual vapour pressure when psychrometric data are unavailable，recommend using the global xgboost model incorporating t-mean , t-min , and aridity index for estimating daily and monthly e(a) from arid to humid regions, and using the dynamic model in hyper-arid regions,revealed that the dynamic and machine learning models offered satisfactory e(a) estimates spanning from hyper arid to humid climates.Duan, Guosheng等(2022)[10]study improvement in solar-radiation forecasting based on evolutionary knea method and numerical weather prediction，intends to establish a coupling algorithm based on a bat algorithm (ba) and kernel-based nonlinear extension of arps decline (knea) for post-processing 1-3 d ahead rs forecasting based on the gefsv12 in xinjiang of china,the results show that the accuracy of forecasting rs from all of the models decreases with the extension of the forecast period.Wu, Li-Feng等(2022)[11]study assessment of daily of reference evapotranspiration using cldas product in different climate regions of china，first evaluated the ability of the second-generation china meteorological administration land data assimilation system (cldas) dataset for officially estimating et0 (the local meteorological station data is used as the reference dataset),the results suggest that the temperature data of cldas have high accuracy in all regions except the qinghai tibet plateau (qtp) region.Qian, Long等(2022)[12]study comparison of cldas and machine learning models for reference evapotranspiration estimation under limited meteorological data，evaluate the performance of the second-generation china meteorological administration land data assimilation system (cldas) and two simplified machine learning models to estimate et0 when meteorological data are insufficient in china,the results show that, when a weather station lacks global solar radiation (r-s) data, the machine learning methods obtain better results in their estimation of et0.
研究方向2围绕以下主题词开展:[Biochar][Vallisneria Natans][Water Quality][Microbial Community][Synergistic Effect][Tetracycline][Nitrous Oxide][Major Ions][Runoff][Microplastics][Climate Variability][Relative Contributions][Citespace][Visualization][Heavy Metal Stress][Chlorophyll Fluorescence Parameter]。
Liu, Zhanmeng等(2021)[13]study activation of persulfate by magnetic zirconium-doped manganese ferrite for efficient degradation of tetracycline，indicates the zro2/mnfe2o4 composite is an efficient and environmentally catalyst for pds oxidation of organic pollutants,the results of quenching experiments, electron paramagnetic resonance (epr) analysis, and x-ray photoelectron spectroscopy (xps) spectra analysis demonstrated that three radicals (hydroxyl radicals (.Deng, Bangliang等(2021)[14]study feedstock particle size and pyrolysis temperature regulate effects of biochar on soil nitrous oxide and carbon dioxide emissions，showed that dissolved organic carbon in biochar increased with particle size when pyrolyzed at 300 degrees c, but decreased with pyrolysis temperature.Xu, Xintong等(2022)[15]study biochar derived from spent mushroom substrate reduced n2o emissions with lower water content but increased ch4 emissions under flooded condition from fertilized soils in camellia oleifera plantations，examined ch4 and n2o emissions from c,showed that higher n2o emissions occurred in soils with 120%whc, due to increased abundance of aoa, aob and nirs.Yu, Hongwei等(2022)[16]study impact of microplastics on the foraging, photosynthesis and digestive systems of submerged carnivorous macrophytes under low and high nutrient concentrations，exposed the aquatic carnivorous plant utricularia vulgaris to polystyrene microplastics (10 and 80 mg/ l) combined with different nutrient concentrations and then assessed their effects on the growth rate, photosynthesis, oxidative stress, and trap-associated microbial community of u,showed that the relative growth rate, shoot length, chlorophyll content, fv/fm, and ascorbate peroxidase enzyme activity of u.Li, Ming等(2022)[17]study scientometric analysis and scientific trends on microplastics research，of microplastics was multidisciplinary, comprising researchers from the fields of ecology, chemistry, molecular biology, environmental science, and oceanography,the results.Li, Ming等(2022)[18]study investigation on the evolution of hydrothermal biochar，can provide a reference for scholars to gain a deeper understanding of hydrothermal biochar,revealed the key research directions of knowledge structure.Hua, Wei等(2022)[19]study effects of spent mushroom substrate biochar on growth of oyster mushroom (pleurotus ostreatus)，introduced a novel application strategy in mushroom production industry to turn the conventional sms into a renewable biochar sms,showed that the renewable sms had greater mushroom yields (20%-25%) and faster fruiting time (4-6 days) than conventional sms.Wu, Chunsheng等(2022)[20]study effect of n deposition on the home-field advantage of wood decomposition in a subtropical forest，found that n1 facilitated wood decomposition by enhancing wood faunal and microbial community abundance and soil extracellular enzyme activity.Gao, G. Q.等(2022)[21]study effects of single and combined stress of cu or zn on the photosynthetic fluorescence characteristics of vallisneria natans，showed that fv/fm, fv/fo, y (ii) and qp increased, and other indicators were almost unchanged in low- concentration treatment (cu<0.Chen, N.等(2022)[22]study mitigating the harm caused by copper pollution in sediment to submerged macrophytes by adding biochar to water，demonstrated that the addition of biochar in water could significantly reduce the cu content in water and the accumulation of cu in v.Wu, Kun等(2022)[23]study simultaneous removal of tetracycline and arsenic(iii) using copper-manganese composite oxide: competition behaviors and removal mechanisms br，this contribution shed a new light on the technologies towards the co-removal of combined contaminants from water.
研究方向3围绕以下主题词开展:[Risk Assessment][Heavy Metals][Adsorption][Ganjiang River Basin][Precipitation][Trend Analysis][Rice][Sources][Source Identification][Le’an River][Cr(VI)][Graphene Oxide][Ecological Compensation]。
Huang, Ting等(2021)[24]study distribution, source identification, and health risk assessment of heavy metals in the soil-rice system of a farmland protection area in hubei province, central china，was to reveal the spatial distribution of 8 heavy metals (cd, cr, ni, cu, pb, zn, as, and hg) in the farmland protection areas in northwestern hubei province and to evaluate their pollution status, sources, and health risks,showed the highest enrichment coefficient.Liu, Shenzhou等(2021)[25]study simulating the leaf area index of rice from multispectral images，conducted a field experiment with rice and measured the lai in different rice growth periods,the results indicated that the gndvi had the highest accuracy in the sem (r-2 = 0.Chu, Xiaodong等(2021)[26]study spatial distribution characteristics and risk assessment of nutrient elements and heavy metals in the ganjiang river basin，provides a reference for the fine control of the environmental water pollution sources in the ganjiang river basin and health risk assessments in the basin, which are of great significance for improving the environmental water quality standards in the river basin and for reducing the risk of carcinogenesis,the results show that although the ganjiang river basin is polluted by human activities, its water chemistry characteristics and trace metal and nutrient elements concentrations were better than the national standards.Lu, Yu等(2021)[27]study evaluation of the implementation effect of the ecological compensation policy in the poyang lake river basin based on difference-in-difference method，adopt the difference-in-difference method to analyze the impact of the ecological compensation policy on the poyang lake river basin.Liu, Zhanmeng等(2022)[28]study cr(vi) removal from water by magnetic ferrihydrite: adsorption performance and adsorbent characterization，adsorption regeneration experiments confirmed that the adsorbent can be reused successfully for cr(vi) removal and has promising potential for practical application.Tang, Ming等(2022)[29]study risk assessment of sectional water quality based on deterioration rate of water quality indicators: a case study of the main canal of the middle route of south-to-north water diversion project，could calculate sectional risk based on real-time monitoring data of water quality and play an early warning role in the occurrence of harmful water quality events in the next one month.Lu, Jianfeng等(2022)[30]study location optimization of emergency station for dangerous goods accidents considering risk，showed that the efficiency of emergency rescue is continuously improving with the increase in the number of emergency stations.Liu, Zhanmeng等(2022)[31]study preparation and characterization of l-glutamic acid/graphene oxide composite for methyl orange and cr(vi) adsorption，shows the adsorbent was inclined to multi-layer adsorption for mo and monolayer adsorption for cr(vi).Liu, Zhanmeng等(2022)[32]study degradation of methyl orange by persulfate activated with magnetically separatable cufe2o4/rgo nanocomposites: efficiency, stability, and synergy，the results show that cuo, fe3o4 and cufe2o4 nanoparticles decorated uniformly the rgo sheets.Liu, Jianchao等(2022)[33]study multimedia distribution and ecological risk of bisphenol analogues in the urban rivers and their bioaccumulation in wild fish with different dietary habits，the detected bps does not pose a health risk to human trough drinking water and eating fish alone.
研究方向4围绕以下主题词开展:[Poyang Lake Basin][Poyang Lake][Functional Traits][Standardized Precipitation Evapotranspiration Index (SPEI)][Leaf Area Index][Drought Characteristics][K-Means Clustering][Remote Sensing][Poyang Lake Wetland][Community-Weighted Mean][Functional Diversity][Above-Ground Biomass][Selection Effects][Spatial Scale][Elevation Gradients][Dry][Wet Conditions][Potential Evapotranspiration (PET)][GF-1][MODIS LAI Products]。
Ran, Youhua等(2021)[34]study mapping the permafrost stability on the tibetan plateau for 2005-2015，produces a new permafrost stability distribution map for the 2010s (2005-2015) derived from the predicted mean annual ground temperature (magt) at a depth of zero annual amplitude (10-25 m) by integrating remotely sensed freezing degree-days and thawing degree-days, snow cover days, leaf area index, soil bulk density, high-accuracy soil moisture data, and in situ magt measurements from 237 boreholes on the tp by using an ensemble learning method that employs a support vector regression model based on distance-blocked resampled training data with 200 repetitions,shows that the total area of permafrost on the tp, excluding glaciers and lakes, is approximately 115.Wu, Lifeng等(2021)[35]study a novel kernel extreme learning machine model coupled with k-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel computation，proposed a novel kernel extreme learning machine model coupled with the k-means clustering and firefly algorithms (kmeans-ffa-kelm) with 5, 10, 15, 20, 25, 30 and 40 data subsets for estimating monthly mean daily et0 in parallel computation in the poyang lake basin of south china with pooled temperature data from 26 weather stations,showed that the prediction accuracy of selected machine learning models with tmax, tmin and ra was improved by 7.Chu, Xiaodong等(2021)[36]study spatial distribution characteristics and sources of nutrients and heavy metals in the xiujiang river of poyang lake basin in the dry season，showed that the average concentrations of heavy metals in the mainstream of the xiujiang river were cu > zn > cr > as, and those in the main tributary of xiujiang river (named as the liaohe tributary) were zn > cu > cr > as, which met the class iii of the environmental quality standards for surface water in china.Fu, Hui等(2021)[37]study environmental and spatial drivers for wetland plant communities in a freshwater lake: reduced coupling of species and functional turnover，sampled wetland plant communities at 779 plots from 52 sites and measured 12 key functional traits of 52 plant species in poyang lake, china,showed that the best predictor of species turnover was elevation followed by soil moisture and geographic distance, while geographic distance was the best predictor at site scale.Xu, Jinying等(2021)[38]study the influence of water regime on cadmium uptake by artemisia: a dominant vegetation in poyang lake wetland，was to investigate the influence of water regime (flooding condition [fc], dry condition [dc] and alternate dry and flooding condition [dfc]) on the accumulation of cadmium (cd) by artemisia selengensis turcz,the results indicated that fc treatment significantly enhanced the accumulation of cd by artemisia roots compared with dfc and dc treatments.Liu, Yao等(2021)[39]study evaluation of parametric and nonparametric algorithms for the estimation of suspended particulate matter in turbid water using gaofen-1 wide field-of-view sensors，is the evaluation of both parametric and nonparametric regression algorithms for c-spm estimation based on the simulation of gaofen-1 (gf-1) wide field-of-view (wfv) satellites for the imaging of turbid water,the results indicate that the spectral ratio (sr) parametric regression model and the extreme learning machine (elm) nonparametric regression model based on in situ spm and spectral data perform relatively better than the other investigated models.Xu, Wentao等(2022)[40]study a new method for assessment of regional drought risk: information diffusion and interval mapping adjustment based on k-means cluster points，proposes a method based on k-means to realize theclassification of drought risk,the results show that: (1) the drought risk quantification method based on information redistribu-tion of k-means cluster point can not only realize automatic risk classification but also requantify the risk of the assessment object in thesame risk grade, which makes up for the defects that the wca cannot carry out grade division and the conventional clustering classificationmethod cannot assign the risk value of the assessment object.Fu, Hui等(2022)[41]study human activities uncouple the cascading effects of hydrological gradients on plant diversity and ecosystem functions in the lake dongting wetland，measured 11 key functional traits of 47 plant species and assessed both taxonomic and functional composition as well as above-ground biomass (agb) of plant communities from 127 plots in the lake dongting wetland.
研究方向5围绕以下主题词开展:[Drip Fertigation][Water Use Efficiency][Grain Yield][Surge-Root Irrigation][Partial Factor Productivity][Tomato Yield][Deficit Irrigation][Nutrient Partitioning]。
Wang, Haidong等(2021)[42]study optimization of water and fertilizer management improves yield, water, nitrogen, phosphorus and potassium uptake and use efficiency of cotton under drip fertigation，showed increasing trends as the irrigation water amount increased at the same fertilizer level during 2012-2014.Wu, You等(2022)[43]study combined effects of irrigation level and fertilization practice on yield, economic benefit and water-nitrogen use efficiency of drip-irrigated greenhouse tomato，showed that sosc obtained relatively high plant nitrogen uptake, net profit and wue, and significantly improved tomato yield.Yan, Shicheng等(2022)[44]study optimization of drip irrigation and fertilization regimes to enhance winter wheat grain yield by improving post-anthesis dry matter accumulation and translocation in northwest china，showed that the logistic growth equation could well describe the accumulation process of aboveground dry matter with r-2 ranging 0.Yan, Shicheng等(2022)[45]study quantifying grain yield, protein, nutrient uptake and utilization of winter wheat under various drip fertigation regimes，showed that npk uptake in aboveground biomass decreased as the water stress increased, but there was no significant difference between w1 and w2.Yan, Shicheng等(2022)[46]study quantifying nutrient stoichiometry and radiation use efficiency of two maize cultivars under various water and fertilizer management practices in northwest china，showed that the radiation use efficiency for biomass yield of ql14 with fertilization under drip irrigation was increased by 7.Wu, You等(2023)[47]study water consumption, soil nitrate-nitrogen residue and fruit yield of drip-irrigated greenhouse tomato under various irrigation levels and fertilization practices，showed that the root shoot ratio in autumn (3.
研究方向6围绕以下主题词开展:[Deep Learning][Spatial Information][Hyperspectral Unmixing][Prediction][2D Octave Convolution][Densenet][Hyperspectral Imagery][Cascaded Autoencoder][Spectral Angle Mapping][NMF][Graph Regularization][Spatially Weighted Unmixing]。
Liang, Lianhui等(2022)[48]study hyperspectral image classification via double-branch multi-scale spectral-spatial convolution network，propose an hsi classification approach based on a double-branch multi-scale spectral-spatial convolution network (dbms) in this paper.Shan, Yueshuai等(2022)[49]study cascaded autoencoders for spectral-spatial remotely sensed hyperspectral imagery unmixing，experimental results on real hyperspectral data indicate that the newly proposed cassu algorithm has better unmixing performance compared to several state-of-the-art unmixing algorithms.Zhang, Hao等(2022)[50]study spatial graph regularized nonnegative matrix factorization for hyperspectral unmixing，experimental results on synthetic data sets indicate that the newly proposed sgnmf method is able to produce better results than other advanced spectral unmixing algorithms.Hu, Kun等(2023)[51]study a reduced-form ensemble of short-term air quality forecasting with the sparrow search algorithm and decomposition error correction，the results of the multi-model combination are better than those of the single model.Liang, Lianhui等(2023)[52]study multi-scale spectral-spatial attention network for hyperspectral image classification combining 2d octave and 3d convolutional neural networks，propose a new hsi classification approach with a multi-scale spectral-spatial network-based framework that combines 2d octave and 3d cnns.
研究方向7围绕以下主题词开展:[Climate Change][Hydropower][Agricultural Water Management]。
Zhang, Guanhua等(2021)[53]study quantifying climatic and anthropogenic influences on water discharge and sediment load in xiangxi river basin of the three gorges reservoir area，demonstrated that water discharge was mainly influenced by precipitation in 1990s while by human activities ever since 2000, and sediment load was predominantly influenced by human activities (relative contribution 86-98%, regardless of whether the effect is negative or positive),showed significant decreasing trends with annual decrement rate of -0.Jiang, Yingzi等(2022)[54]study multi-disciplinary optimizations of small-scale gravitational vortex hydropower (sgvhp) system through computational hydrodynamic and hydro-structural analyses，for all the hydrodynamic analyses.Li, Xuerong(2022)[55]study can collecting water fees really promote agricultural water-saving? evidence from seasonal water shortage areas in south china，identifies the key determinants of farmers’ agricultural water-saving behavior, particularly to verify whether collecting water fees helps to promote agricultural water-saving,showed a negative influence.
研究方向8围绕以下主题词开展:[Slope Stability][Spatial Variability][Stratigraphic Uncertainty][Random Field][Reliability Analysis][Response Surface Method]。
Deng, Zhi-Ping等(2021)[56]study slope reliability analysis in spatially variable soils using sliced inverse regression-based multivariate adaptive regression spline，aims to propose a sliced inverse regression (sir)-based multivariate adaptive regression spline (mars) method for slope reliability analysis in spatially variable soils, which combines the advantages of both sir and mars,the results indicate that, in the case of higher dimensions of random variables, the mars model with the aid of sir can effectively establish the relationship between soil shear strength parameters of slopes in spatially variable soils and safety factor (fs).Jiang, Shui-Hua等(2022)[57]study advances in reliability and risk analyses of slopes in spatially variable soils: a state-of-the-art review，tries to summarize these advances in the hope that future research directions can be identified.Deng, Zhi-Ping等(2022)[58]study full probability design of soil slopes considering both stratigraphic uncertainty and spatial variability of soil properties，aims to propose a full probabilistic design method for soil slopes with modeling of these two types of uncertainties by generalized coupled markov chain (gcmc) and random field simulation,the results indicate that if only spatial variability of soil parameters is considered in slope rbd, the design results largely depend on the used stratigraphic profile.
研究方向9围绕以下主题词开展:[Photocatalysis]。
Li, Ming等(2022)[59]study perovskite oxide for emerging photo(electro)catalysis in energy and environment，the results achieved, efforts in both energy and environment based on perovskite oxides have been initiated in the 1990s and accelerated since the 2010s.Xia, Li等(2023)[60]study ferrocene-boosting zr-mofs for efficient photocatalytic co2 reduction: a trade-off between enhancing lmct and frustrating lewis acid，shows superior photocatalytic co2rr performance (co yield: 90.Li, Yuhan等(2023)[61]study engineering znsn(oh)(6 )with ternary active sites-directed hydroxyl vacancies for robust deep c6h6 photo-oxidation: experiment and dft calculations，these results advance the mechanistic understanding of deep photo-oxidation of c6h6 to co2 over znsn(oh)(6) with hydroxyl vacancies.
研究方向10围绕以下主题词开展:[Water Infiltration][Numerical Simulation][Energy Dissipation]。
Jia, Ming-Ming等(2021)[62]study experiment of hysteretic behavior and stability performance of buckling-restrained braced composite frame，all rights reserved.Wang, Chunling等(2022)[63]study numerical modeling of energy dissipation of internal solitary waves encountering step topography，conducted simulation experiments using a large-eddy simulation method to examine the interaction of internal solitary waves (isws) with step topography,showed that, as the obstacle height increased, the degree of energy conversion during the interaction increased.Xiao, Yaoting等(2022)[64]study study of the water vertical infiltration path in unsaturated soil based on a variational method: application of power function distribution of d(theta)，the results show that the diffusion coefficient d(theta) has a functional relationship with the depth of the wetting front.
研究方向11围绕以下主题词开展:[Environmental Change][Growth][Respiration]。
Dai, Lulu等(2021)[65]study reduced photosynthetic thermal acclimation capacity under elevated ozone in poplar (populus tremula) saplings，found that the optimum temperature of a(sat) (t-opta) significantly increased in response to warming.Wu, Chunsheng等(2021)[66]study phosphorus deposition accelerates wood decomposition and temperature sensitivity in a subtropical forest，conducted a four-year field factorial fertilization experiment in a subtropical chinese evergreen forest to investigate the influences of simulated changes in p deposition at three levels (e,showed significantly higher sensitivity (q10) to wood temperature than to air temperature.Li, Wei等(2023)[67]study allocation of phosphorus (p) into biomass and calcite encrustation in chara at high and low p availability，performed an experiment to clarify how chara vulgaris linn, a common and widely distributed macroalga, allocated the p it uptake at different p availability,the results indicated that the growth rate of c.
研究方向12围绕以下主题词开展:[Hyperspectral Imaging][Sparse Unmixing][Superpixels][Spatially-Weighted Unmixing][Double Spatial Weights]。
Chen, Yonggang等(2022)[68]study dual spatial weighted sparse hyperspectral unmixing，and obtain better unmixing results than other state-of-the-art unmixing algorithms.He, Danli等(2022)[69]study dual reweighted low-rank sparse unmixing with total variation regularization，experiment results on simulated hyperspectral data verify the excellent unmixing performance of the proposed algorithm compared to other state-of-the-art sparse unmixing methods.
研究方向13围绕以下主题词开展:[PM2.5]。
Huang, Shan等(2021)[70]study characteristics and source identification of fine particles in the nanchang subway, china，showed the highest concentration with 19.Wu, Quanquan等(2022)[71]study pm2.5-related health risk during chinese spring festival in taizhou, zhejiang: the health impacts of covid-19 lockdown，examined the characteristics of pm2,showed that pm2.
研究方向14围绕以下主题词开展:[Water Treatment][Energy And Exergy][Exergoeconomic And Environmental Parameters][Solar Distillation]。
Sun, Zhilin等(2022)[72]study experimental study of a solar water treatment device with dome structure cover in winter: performance evaluation and comparative analysis，mitigates more co2 compared to the fourfold slope still.Sun, Zhilin等(2022)[73]study comparison between double slope solar still and fourfold slope solar still: energy, exergy, exergoeconomic, and enviroeconomic evaluation，proposes a single basin fourfold slope solar still, which includes a fourfold slope glass cover plate used for solar heat collection and steam condensation.
研究方向15围绕以下主题词开展:[Variational Mode Decomposition][Chaos Sparrow Search Algorithm][Long Short-Term Memory Network][Multiple Linear Regression][Total Nitrogen][Total Phosphorus][Hybrid Models][Sampling Technique][Series Decomposition][Discrete Wavelet Transform]。
He, Miao等(2022)[74]study prediction of total nitrogen and phosphorus in surface water by deep learning methods based on multi-scale feature extraction，shows that the proposed hybrid vclm model can be recommended as a promising model for online water quality prediction and comprehensive water environment management in lake systems.He, Miao等(2022)[75]study can sampling techniques improve the performance of decomposition-based hydrological prediction models? exploration of some comparative experiments，shows that (1) emd and ceemdan (including the improved emd-based adaptive decomposition method) cannot be used to construct stepwise decomposition prediction models because the implementation of the stepwise decomposition strategy leads to a variable number of sub-series.
研究方向16围绕以下主题词开展:[Ecosystem Service Value][Land Use]。
Hu, Yangcheng等(2022)[76]study research regarding the coupling and coordination relationship between new urbanization and ecosystem services in nanchang，period, with water and forest land being the main esv components,shows that (1) the nanchang city nu increases annually, at an accelerated rate, while the city scale continuously expands.Hu, Yangcheng等(2022)[77]study multi-scenario simulation of land use change and ecosystem service value in the middle reaches of yangtze river urban agglomeration，area, and then to calculate the ecosystem service values (esv) and analyze the contribution of each driver to each land type and the spatial autocorrelation of the esv at the grid scale,the results show that (1) the land use changes in the study area from 2015 to 2020 are mainly: the rapid expansion of construction land with an increase of 200,221 hm(2) and an increase in arable land, specifically 85,982 hm(2), and a decrease in all other land types.
研究方向17围绕以下主题词开展:[Failure Mode]。
Yang, Zhongping等(2022)[78]study experimental study on the movement and failure characteristics of karst mountain with deep and large fissures induced by coal seam mining，the results of the field investigation after the disaster, the complete process of rock strata fracture and slope instability under the descending and ascending mining conditions of gently inclined coal seam is reproduced by similitude model experiments.Zhang, Baohua等(2022)[79]study reliability analysis of gravity retaining wall，the limit of reliability is calculated.
研究方向18围绕以下主题词开展:[Finite Element Analysis]。
Huang, Hong等(2022)[80]study study on the mechanical behavior of l-shaped concrete-filled steel tubular columns under axial compression，the results show that the optimal ribbing method involves setting half-width longitudinal stiffening ribs in the middle of the two wide sides of the l-shaped steel tube.Yao, Xingyou等(2023)[81]study study on restoring force model of cold-formed thin-walled steel lipped channel beam-columns under cyclic load，showed that the srfm under different buckling modes was in good agreement with the hysteretic curve of fea, which can better indicate the hysteretic behavior of the member.
研究方向19围绕以下主题词开展:[Sulfate Attack][Pervious Concrete]。
Song, Hui等(2021)[82]study a chemical-mechanics model for the mechanics deterioration of pervious concrete subjected to sulfate attack，provides a more reliable solution for the design and durability life assessment of pervious pavement engineering in sponge city construction projects.Song, Hui等(2022)[83]study the role of aggregate and cement paste in the deterioration of the transitional interface zone of pervious concrete during freeze-thaw cycles，is to evaluate the effect of itz on the deterioration of pervious concrete under f-t circumstances,showed no discernible strength deterioration, and detrimental porosity did not alter considerably.
研究方向20围绕以下主题词开展:[Landoltia Punctata]。
Wang, Xianglian等(2021)[84]study chemical forms governing cd tolerance and detoxification in duckweed (landoltia punctata)，showed that the cd content in l.Wang, Xianglian等(2022)[85]study large-scale screening and characterization of cd accumulation and ultrastructural deformation in duckweed，showed that the biomass of l.
研究方向21围绕以下主题词开展:[Oil-Contaminated Soil][Oil Degradation][Se][As][Caenorhabditis Elegans][Soil Enzyme Activity][Microbial Community Structure]。
Zhou, Jihai等(2022)[86]study oil degradation and variation of microbial communities in contaminated soils induced by different bacterivorous nematodes species，inoculated three species of bacterivorous nematodes into oil-contaminated soil to explore how bacterivorous nematodes affect soil microbial activities and community structure in contaminated soil, as well as how efficiently different nematodes remove oil pollution from the soil.Hu, L.等(2022)[87]study effects of different exogenous selenium on enzyme activities and microorganisms in arsenic-contaminated soil，can provide a reference for in-depth exploration of the mechanism of se and microbial metabolism of as and its application in the treatment of as pollution,shows the opposite trend.
研究方向22围绕以下主题词开展:[Bacteria][Fungi]。
Liu, Binshuo等(2022)[88]study effects of saline-alkali stress on bacterial and fungal community diversity in leymus chinensis rhizosphere soil，showed that bacterial community richness and diversity were the highest in the moderate saline-alkali group (ph = 8.Zhou, Jihai等(2022)[89]study variation of microbial activities and communities in petroleum-contaminated soils induced by the addition of organic materials and bacterivorous nematodes，showed that the enzyme activities in the six treatments generally increased firstly and then decreased during the incubation period.
研究方向23围绕以下主题词开展:[Adsorption Mechanism][Camphor Leaf Waste][Refuse Reclamation][Pb(II) Adsorption]。
Liu, Lingli等(2023)[90]study building of soft-hard compound brush in porous pva/nh2@tatzno plural gel and the high-efficiency anti-interference removal on pb(ii)，showed a good selective adsorption on pb(ii).
研究方向24围绕以下主题词开展:[China][Biodiversity][Ecological Operation][Fish Communities][Yangtze River]。
Zhang, J.等(2021)[91]study impact and prospects of water conservation on fish habitat and advances of ecobiology operation in yangtze river, china: a review，of fish habitat in the yangtze river basin, 424 original papers published from 2000 to 2020 using bibliometrics were compiled in this research to analyze the developing trends including topics, data, and research status,showed that the related research fields on the effects of the reservoir on hydrological indicators mainly focused on negative impact caused by hydrological changes, water temperature effect, and sediment variation.
研究方向25围绕以下主题词开展:[Axial Compression][Distortional Buckling][Cold-Formed Thin-Walled Steel Member][Batten Sheet][Partially Stiffened Element][Double-Lipped Equal-Leg Steel Angle][Global Buckling][Effective Width Method][Direct Strength Method]。
Yao, Xingyou等(2022)[92]study experiment and design method of cold-formed thin-walled steel double-lipped equal-leg angle under axial compression，showed that the distortional buckling occurs for specimens with a small width-to-thickness ratio and small slenderness ratio.
研究方向26围绕以下主题词开展:[Lake Poyang][Water Level]。
Liu, Baogui等(2022)[93]study seven years study of the seasonal dynamics of zooplankton communities in a large subtropical floodplain ecosystem: a test of the peg model，used multivariate and partial least squares path modeling to analyze the seasonal variation in crustacean zooplankton and related environmental factors from winter 2009 to winter 2016 in lake poyang, the largest freshwater lake in china.
研究方向27围绕以下主题词开展:[Heavy Metal][Granularity Analysis][Gradient Grinding][Composite Micro-Slag][Curing Mechanism]。
Peng, Yajuan等(2022)[94]study preparation of composite micro-slag based on the application of tailings slag in cement and concrete，showed that the grinding process improves the particle morphology of the tailings slag, thereby affecting the interaction between the particles, which not only promotes the particles to receive uniform energy during the calcination process, reduces the energy consumption of clinker firing, but also stimulates the activity of tailings slag so that improves the strength and workability of concrete.
研究方向28围绕以下主题词开展:[Sediment]。
Yang, Zhimin等(2023)[95]study roles of the stolon and erect grass species in surface-subsurface flow generation and red soil loss，can provide a better understanding of the roles of stolon and erect grass species for soil and water conservation and management practices,showed that bare plot had the highest mean surface flow coefficient (73.
研究方向29围绕以下主题词开展:[Hydraulic Conductivity]。
Qian, Wuwen等(2022)[96]study inversion method of hydraulic conductivity for steady-state problem based on reduced-order model constructed by improved greedy sampling method，proposes an improved greedy sampling method (gsm) (igsm) based on model reduction technology to rapidly estimate the hydraulic conductivity of steady-state seepage problem.
研究方向30围绕以下主题词开展:[Mineralization]。
Sun, Na等(2023)[97]study acetaminophen degradation in aqueous solution by the uv-led-ec/cl-2 process，shows that rcs plays a key role in the aap degradation.
研究方向31围绕以下主题词开展:[Drought Indices][Drought Simulation][Drought Assessment][SPEI][Frank Copula-Based SPEI]。
Bai, Hua(2022)[98]study copula-based standardized precipitation evapotranspiration index and its evaluation in china，formatted the frank copula-based spei (speic) to combine the marginal cdfs at 3, 6, 9, and 12-month scales.
研究方向32围绕以下主题词开展:[The Sewage Dam][The High-Density Resistivity Method][The Hidden Trouble Detection]。
Ju, Haiyan等(2021)[99]study application of the high-density resistivity method to detect the hidden trouble in the mine sewage dam，the high-density resistivity method would provide the reference for the treatment of the sewage dam seepage and safety evaluation.
研究方向33围绕以下主题词开展:[Prefabricated Grass-Planting Concrete][Ecological Revetment][Scouring Resistance][Soil Conservation][River]。
Jiang, Hui等(2022)[100]study performance evaluation and field application of prefabricated grass-planting concrete blocks with concave-convex construction for mid-sized and small river revetment projects，shows excellent improvement in scouring resistance and soil conservation, with average vegetation coverage up to 95%.
其他研究涉及主题词:[Pulse Size][Ammonium Pulse][Plant Trait Network][Submerged Macrophyte][Urban Travel][Carbon Emissions][Influencing Mechanism][Built Environment][Guangzhou][Anhui Province][Assessment On Comprehensive Index][Drought Risk][Improvement][Iterative Transformation Method][Spatiotemporal Risk Matrix][Spatiotemporal Vector][Scattering And Diffraction][Semi-Circular Discontinuity][Plane SH Waves][Wave Function Expansion Method][Damping Ratio][Dynamic Hierarchical Adjustment][Ecological Flow][Hedging Rule][Synchronous Reduction Strategy][The Component Structure Of Ecological Protection Objects][The D-A-R Approach][Water Resources Management][Bend Flow][Entropy Weight Method][Plackett-Burman Design][Rough-Strip Energy Dissipators][TOPSIS Method][Fuhe River Watershed][Surface Water][Heavy Metal Concentrations][Controlling Factor][Non-Carcinogenic And Carcinogenic Risks][Irrigation Amount][Fertigation Rate][Crop Model][Calibration And Validation][Scenarios Analysis][Carbon Dioxide Electrolysis][Zn-CO (2) Battery][Bi Clusters][Carbon Neutral][Hollow Carbon Spheres][Tio2 Nanofibers][CO2 Photoreduction][Electron Transfer Channel][Surface Oxygen Vacancy][Photocatalytic Mechanism][El Nino-Southern Oscillation][Eutrophication][Water Nutrients][Hydrology][Meteorology][Carbon Emission][Dual Green Gaming][Industrial Sector][Optimal Green Policies][Sulfur Vacancy][Heterojunction][Molybdenum Disulfide][Cobalt Sulfide][Lithium-Sulfur Battery][New-Type Urbanization][Water Ecological Environment][Entropy Method][Coupling Coordination Degree Model][Tobit Model][Bridge Structure][Crack Identification][Unmanned Aerial Vehicle (UAV)][Image Geometry Correction][Four-Point Laser Emission][Central China][Urban Education][Income Gap Of Urban Residents][Fluoride][Core-Shell-Shell][Water Stability][Mn4+][White Light-Emitting Diodes][FG-CNTRC Conical Shell][Solid Ring][Free Vibration][Hybrid TE-GDQE Method][Source-Sink Relationship][Supplemental Irrigation][Leaf Chlorophyll Content][Sustainable Yield Index][Gxexm][High Arch Dam][Signal Processing][Working Modal Identification][Vibration Under Discharge Excitation][Noise Reduction][Fractional Order][Multi-Objective Optimization Model][Oscillating Sequence][Overfitting][Reverse Accumulation][Water Demand Prediction][Metaheuristic Optimization Algorithm][Feature Selection][Xgboost][Gaussian Process Regression][Aboveground Biomass Mapping][Non-Normal Distribution][Dam Displacement][Early Warning Index][Kernel Density Estimation][Copula Function][Intelligent Vehicle][Giant-Magnetostrictive Material][Controller Design][Brake-By-Wire][Experimental Analysis][Ordos Basin][Triassic][Petrology][Pore Structure][Diagenesis][Environmentally Friendly Materials][Degradable][Nano-Fibers][Polylactic Acid][Composite Materials][Construction Waste][Mechanical Properties][Graded Crushed Stone][STEP Perpetual Learning][Temporal Inconsistency][Interval Temporal Logic][Temporal Event Scheduling][Smartcalendar][Bingham Fluid][Corrected Smooth Particle Hydrodynamics][Rheological Property][Viscoplastic Fluid][Flow Characteristics][Gasoline Demand][Price Elasticity][Income Elasticity][Time-Varying Parameter Model][Food Security Risk][Water Scarcity][Food Habits][Demographic][RCP-SSP][Displacement][High Arch Dams][Mixed-Coefficient Panel Model][Overall Deformation Behavior][Spatial Clustering][Zoned Inversion Analysis][Drying Shrinkage][Heating][Concrete][Cracks][Peridynamics Theory][Heterogeneous Materials][Antibiotics][NH2-MIL-101][Mips][In-Situ Self-Assembly][Selective Adsorption][Machine Learning Models][Groundwater][LSTM][KNEA][GRU][Truck Crash][Injury Severity][Mountainous Expressway][Ordered Logit Model][Pseudoelasticity][Rockfall][Coefficient Of Restitution][Rotational Speed][Impact Posture Coefficient][Influence Mechanism][Jingle Hydrology Station][Goaf][Field Investigation][Simulation Experiment][Runoff Mechanism][Hydrological Model][Hazardous Chemicals Storage][Emergency Supplies Scheduling][Risk][Bi-Level Planning][Multi-Objective Optimization][Augmented Epsilon-Constraint Method][True Triaxial Stress State][Seepage Apparatus][Gravelly Soil][High Stress State][High Hydraulic Gradient][Annual Mean Flow][Cumulative Hydrological Impacts][Ecological Thresholds][Forest Disturbance Thresholds][Hydrological Response Curve][Parlange Solution][Diffusion Coefficient][Permeability Coefficient][Analytical Solution][Soil Column Test][Variable Separation]。
Lee, Chien-Chiang等(2021)[101]study gasoline demand elasticities in the world’s energy gluttons: a time-varying coefficient approach，estimate the price and income elasticities for gasoline demand in selected energy gluttons-china, india, usa, russia, and japan,reveal the following: gasoline consumption is price-inelastic and income-inelastic, there are movements in both the price and income elasticities, and the movements generally correspond with business cycle patterns of each of the countries; overall, sensitivity to price and income changes increase during periods of economic crises.Chen, Lei等(2021)[102]study disclosing the future food security risk of china based on crop production and water scarcity under diverse socioeconomic and climate scenarios，combined water scarcity and crop production data under different scenarios of representative concentration pathways (rcps) and shared socioeconomic pathways (ssps), incorporating demographic, food habit and water resource factors, to develop a new framework for measuring china’s food security risk,the results show that the water scarcity and crop production-water crisis (cpwc) of china would both be aggravated during the 21st century.Wang, Shaowei等(2021)[103]study mixed-coefficient panel model for evaluating the overall deformation behavior of high arch dams using the spatial clustering，is to develop and verify a mixed-coefficient panel model for dam displacements of multiple monitoring points.Jin, Yudan等(2021)[104]study numerical study of shrinkage and heating induced cracking in concrete materials and influence of inclusion stiffness with peridynamics method，is devoted to numerical modelling of cracking in concrete-like materials by explicitly taking into account microscopic heterogeneities.Liu, Zhanmeng等(2021)[105]study preparation of molecularly imprinted metal-organic frameworks for the selective removal of norfloxacin by an in-situ self-assembly template strategy，provides a feasible strategy for the application of mofs in the high-efficiency selective adsorption and removal of macromolecules, such as antibiotics.Hou, Yiping等(2021)[106]study quantification of ecohydrological sensitivities and their influencing factors at the seasonal scale，conclude that ecohydrological sensitivities at the seasonal scale are varied by climate, vegetation and watershed property, and their understanding can greatly support the management of hydrological risks and protection of aquatic functions.Ao, Chang等(2021)[107]study time-delayed machine learning models for estimating groundwater depth in the hetao irrigation district, china，evaluated the potential of the kernel-based nonlinear extension of the arps decline model (knea), long short-term memory network (lstm) and gated recurrent unit (gru) for accurately estimating gwl in the hetao irrigation district in china,showed that the knea model was superior to the lstm and gru models for all input combinations using the local application.Wang, Yonggang等(2021)[108]study factors contributing to the severity of heavy truck crashes: a comparative study of jiangxi and shaanxi, china，stricter regulations and more efficient technical countermeasures in order to reduce or prevent the occurrence of serious heavy-truck crashes on mountainous expressways in china.Ji, Zhong-Min等(2021)[109]study laboratory investigation of the effect of the rotational speed on the coefficient of restitution，these findings explain the influence mechanism of rs on the cor and provide a new idea for the accurate prediction of the impact-rebound processes of rotating irregular rockfalls.Yao, Xingyou(2021)[110]study experimental investigation and load capacity of slender cold-formed lipped channel sections with holes in compression，presents a total of 42 axial compression tests of cfs lipped channel slender columns with and without circular and rectangular web holes, including different hole sizes and cross sections,showed good agreement with the test results.Wan, Peng等(2021)[111]study a strain rate-dependent damage evolution model for concrete based on experimental results，the proposed damage model will advance the understanding of the failure process of concrete materials.Guo, Yanli等(2021)[112]study experimental study and effective width method for cold-formed steel lipped channel stud columns with holes，is to investigate the buckling behavior and to present the design method of the ultimate strength in the basic effective width method (ewm) for cold-formed steel (cfs) lipped channel stud columns with holes in the web,showed that the stud columns with holes were governed by local buckling or the interaction of local buckling and distortional buckling.Tang, Li等(2021)[113]study runoff generation, confluence mechanism, and water balance change of coal mining areas with goaf: establishment of a runoff prediction model，period, 1990 was taken as the reference time for the appearance of goaf.Lu, Jianfeng等(2021)[114]study optimization of emergency supplies scheduling for hazardous chemicals storage considering risk，the computational case is provided to demonstrate the workability of the proposed model and method.Chen, Chenghao等(2021)[115]study a large-scale true triaxial seepage apparatus for evaluating impact under high stress state and high hydraulic heads，the newly developed apparatus is verified to be a useful tool to investigate the hydraulic features of coarse-grained cohesionless soil under triaxial stress conditions.Wei, Xiaohua等(2021)[116]study reexamining forest disturbance thresholds for managing cumulative hydrological impacts，provided a robust technique (the modified double mass curve, mdmc) for quantitatively determining forest disturbance thresholds on annual mean flow as it allows the development of a hydrological response curve between cumulative hydrological effects and forest disturbance over time at the watershed scale.Cao, Jian等(2021)[117]study creep of cfrp confined reinforced concrete members under large eccentric compression，it has a certain guiding significance to the actual engineering structure.Zhu, Yuelu等(2021)[118]study research on a key question in the parlange solution，proposes a variable separation method based on experimental, which transforms the integral equation containing c(t) into transcendental equation and finds the analytical solution.Yang, Miaosen等(2022)[119]study highly dispersed bi clusters for efficient rechargeable zn-co2 batteries，design atomically dispersed bi clusters supported on hollow carbon spheres (bic/ hcs) for effectively reducing co2 to formate, which shows the highest faradaic efficiency of 97 & plusmn; 2% at -0,shows the highest faradaic efficiency of 97 & plusmn; 2% at -0.Ran, Youhua等(2022)[120]study new high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the northern hemisphere，produces novel permafrost datasets for the northern hemisphere (nh), including predictions of the mean annual ground temperature (magt) at the depth of zero annual amplitude (dzaa) (approximately 3 to 25 m) and active layer thickness (alt) with 1 km resolution for the period of 2000-2016, as well as estimates of the probability of permafrost occurrence and permafrost zonation based on hydrothermal conditions.Li, Yuhan等(2022)[121]study synergistic effect of interstitial c doping and oxygen vacancies on the photoreactivity of tio2 nanofibers towards co2 reduction，revealed co* to be a major intermediate with the formation of coh* intermediate being the rate-limiting step.Fu, Hui等(2022)[122]study linking human activities and global climatic oscillation to phytoplankton dynamics in a subtropical lake，assessed the annual trends (1988-2018) in phytoplankton abundance (pa) in lake dongting, china and related it to five groups of variables characterizing human activities, global climate oscillation, water nutrients, hydrology, and meteorology,showed twelve indirect pathways via changes in hydrology and meteorology (both positive and negative effects were found).Lee, Chien-Chiang等(2022)[123]study optimal behavior of environmental regulations to reduce carbon emissions: a simulation-based dual green gaming model，formulate a simulation model to measure the optimal behavior of cet, sgi, and production quantity to maximize profit and carbon emission reduction.Song, Haobin等(2022)[124]study cooperative catalytic mo-s-co heterojunctions with sulfur vacancies for kinetically boosted lithium-sulfur battery，this work demonstrates the great potential of anion deficiency and heterojunction co-construction for high-performance li-s batteries.Kan, Daxue等(2022)[125]study study on the coupling coordination between new-type urbanization and water ecological environment and its driving factors: evidence from jiangxi province, china，take 11 cities in china’s jiangxi province as the research object, and construct the coupling coordination evaluation indicator system of new-type urbanization and water ecological environment, then using the coupling coordination degree model to examine the state of coupling coordination between new-type urbanization and water ecological environment from 2009 to 2019,shows a steady upward trend, and the water ecological environment level tends to rise steadily and slowly, although the comprehensive score of water ecological environment in most cities is lower than 0.Li, Jiapo等(2022)[126]study crack identification for bridge structures using an unmanned aerial vehicle (uav) incorporating image geometric correction，propose a robust and straightforward crack detection method based on geometric correction and calibration algorithms to address these issues,showed greater precision for crack width identification, with a measurement accuracy of over 95%.Kan, Daxue等(2022)[127]study the impact of urban education on the income gap of urban residents: evidence from central china，provides the basis for formulating scientific and rational urban education development policies in central china,the results show that overall, the improvement of urban education level helps to narrow the income gap of urban residents in central china cities.Luo, Peilan等(2022)[128]study simultaneous construction of impermeable dual-shell stabilizing fluoride phosphors for white light-emitting diodes，the results of the moisture resistance of fluoride-treated with a variety of solvents similar in molecular structure to pa.Hou, Suxia等(2022)[129]study the free vibration analysis of carbon nanotubes-reinforced deep conical shells with an intermediate ring support under various boundary conditions，several parametric investigations are conducted to determine the effect of the geometric and ingredient properties of fg-cntrc conical shells.Yan, Shicheng等(2022)[130]study source-sink relationship and yield stability of two maize cultivars in response to water and fertilizer inputs in northwest china，showed that the newly released maize cultivar (ql14) had higher leaf chlorophyll content at the silking and grain-filling stages than the old one (zd958); meanwhile, ql14 had higher root dry matter at maturity than zd958 under dif1.Guo, Yingjia等(2022)[131]study working mode identification method for high arch dam discharge structure based on improved wavelet threshold-emd and rdt algorithm，proposes an improved modal threshold identification method based on an improved wavelet threshold-empirical mode decomposition (emd) and random decrement technique (rdt) algorithm for high arch dam discharge structures.Li, Jun等(2022)[132]study forecast of regional water demand based on nsgaii-foragm，took yulin city as a research area to predict the water demand of the city from 2017 to 2019,showed that the average relative error of the model established in this study for the simulation of industry, tertiary industry (the tertiary industry is a technical name for the service sector of the economy, which encompasses a wide range of businesses), and domestic was 15.Han, Yixiu等(2022)[133]study a novel hybrid goa-xgb model for estimating wheat aboveground biomass using uav-based multispectral vegetation indices，established a novel hybrid model, known as extreme gradient boosting (xgboost) optimization using the grasshopper optimization algorithm (goa-xgb), which could accurately determine an ideal combination of vegetation indices (vis) for simulating wheat agb,the results demonstrated that mlr and goa-mlr models had poor prediction accuracy for agb, and the accuracy did not significantly improve when input factors were more than three.Jiang, Zhen-Xiang等(2022)[134]study a new early warning method for dam displacement behavior based on non-normal distribution function，proposed an early warning method using a non-normal distribution function,showed that, with residual displacements in a non-normal distribution, the early warning method proposed in this study accurately reflected the dam displacement behavior and effectively reduced the frequency of false alarms.Chu, Changbao等(2022)[135]study controller design of a brake-by-wire system based on giant-magnetostrictive material for an intelligent vehicle，the results of the test platform, the relevant test parameters were highly consistent with the theoretical calculation, which verified the correctness and effectiveness of the theoretical calculation and bench testbed design.Dong, Xiaobo等(2022)[136]study analysis of reservoir petrology and reservoir space characteristics of triassic chang 8 member in huanjiang oilfield, ordos basin，shown that the lithology of chang 8 sandstone is mainly gray-white and gray-green medium-fine feldspar sandstone.Zhang, Yuanyuan等(2022)[137]study preparation of pla/nanocellulose degradable environmentally friendly food packaging materials，shown that the crystallinity of encc-g/pla composites is nearly 12% higher than that of ncc/pla composites.Yuan, Xinhua等(2022)[138]study experiment on eco-friendly recycled materials of brick-concrete construction waste，study the effect of rubber content and concrete particle content on the mechanical properties of recycled aggregate inorganic mixture, determine the mix ratio that meets the requirements of the specification, and study the effect of debris content and concrete particle content on the road use of recycled aggregate graded crushed stone performance impact.Tang, Ming等(2022)[139] study risk assessment of sectional water quality based on deterioration rate of water quality indicators: a case study of the main canal of the middle route of south-to-north water diversion project (vol 135, 108592, 2022).Tang, Jiahua等(2022)[140]study improving temporal event scheduling through step perpetual learning，describe how a personalized temporal event scheduling system smartcalendar, can benefit from step perpetual learning.Li, Yanggui等(2022)[141]study numerical investigation of the flow characteristics of bingham fluid on a slope with corrected smooth particle hydrodynamics，the numerical results show that the improved sph numerical scheme has higher accuracy and better stability and can deal with the complex flow behavior of the unsteady bingham fluid.Yuan, Guixiang等(2023)[142]study linking trait network to growth performance of submerged macrophytes in response to ammonium pulse，found that ammonium pulses enhanced trait connectivity in ptn, which may enable plants to assimilate ammonium and/or mitigate ammonium toxicity,showed clear functional divergence among traits, making it more flexible to cope with unfavorable habitats (i.Lu, Jianfeng(2023)[143]study the influencing mechanism of urban travel carbon emissions from the perspective of built environment: the case of guangzhou, china，the results show that: (1) there are significant differences in residents’ travel carbon emissions in different types of municipalities.Tang, Ming等(2023)[144]study an improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of anhui province, prc，) can be determined according to these indexes.Li, Zhiwen等(2023)[145]study scattering of plane sh waves by a semi-circular discontinuity in an elastic half-plane，reveal the effects of the discontinuity properties on wave scattering and seismic motion.Wang, Wenpeng等(2023)[146]study the d-a-r approach: a method for determining ecological flow based on the component structure of ecological protection objects and dynamic hierarchical adjustment to the annual flow process，the results show that it is possible to use the d-a-r approach to proactively and dynamically adjust the ecological flow according to the prob-ability estimate of that amount of water inflow per month, which the adjusted ecological flow threshold can better adapt to water scarcity at different levels and alleviate the contradiction among domestic, production and ecological water in the water-shed during the dry period.Zhang, Honghong等(2023)[147]study analysis of main influencing factors of energy dissipation and flow diversion effects of rough-strip energy dissipators in curved spillways based on plackett-burman design，and selected as the key factors for further steepest climbing tests and response surface design.Guo, Xiaojuan等(2023)[148]study spatio-temporal analysis and health risk assessment of heavy metals in water from the fuhe river, south china，area to analyze physicochemical characteristics and heavy metal (cu, zn, pb, cd and cr) concentrations in river water in the dry and rainy seasons, in 2019, with the purpose of exploring their spatial-temporal variations and main influences and assessing the potential health risks of heavy metals,showed obvious differences between the two periods.Wang, Haidong等(2023)[149]study performance evaluation of aquacrop and dssat-substor-potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes，region,showed that the aquacrop model gave satisfactory predictions of canopy cover (r-2 >= 0.Qin, Xiangnan等(2023)[150]study an evaluation method of crack variation on structural performance of concrete dams with fusion entropy based on observation and simulation，proposes a method for evaluating crack variations on structural performance of concrete dams using observational and computational output.
截止到2023/5/18，在Web of Science的SCI论文数据库检索得到x文献总量328，总体呈现递增趋势，2022年数量达到顶峰为83件。绘制技术生命周期图，判断该技术主题目前处于成长期。
从主题词角度看，x技术热点集中主题聚类显著的heavy metal、numerical simulation、human activity、significant difference、south china；random forest、input combination、great significance、extreme gradient、weather station；water resource、climate change、poyang lake、water quality、poyang lake basin；northwest china、important role、environmental pollution、significant effect、grain yield；fourier transform、degrees c、electron microscopy、adsorption mechanism、x ray diffraction；test result、good agreement、axial compression、hole size、analysis result；large amount、community structure、contaminated soil、oil contaminated soil、oil pollution。
2018-2020年主要为[ganjiang river basin],[poyang lake basin],[heavy metal],[oil contaminated soil],[water footprint],[jiangxi province],[fruit tree planting],[climate change],[super high arch dam],[water resource]；2021年以后主要为[degrees c],[heavy metal],[income gap],[urban resident],[human activity],[northwest china],[water ecological environment],[machine learning model],[spatial variability],[poyang lake]
从学科类别角度看，排序前5位的分别为environmental sciences、water resources、engineering, civil、geosciences, multidisciplinary、construction & building technology，数量分别达到180、87、77、50、42篇。
2018-2020年主要为[environmental sciences],[engineering, civil],[water resources],[construction & building technology],[geosciences, multidisciplinary],[engineering, geological],[green & sustainable science & technology],[engineering, environmental],[environmental studies],[energy & fuels]；2021年以后主要为[environmental sciences],[water resources],[engineering, civil],[geosciences, multidisciplinary],[engineering, environmental],[construction & building technology],[agronomy],[engineering, chemical],[green & sustainable science & technology],[environmental studies]
从国家角度看，排序前5位的分别为中国、美国、丹麦、加拿大、马来西亚，数量分别达到328、14、11、10、5。
关联关系显著的中国、美国、加拿大、法国、德国、澳大利亚、西班牙、韩国；丹麦、日本、土耳其；马来西亚、英国；沙特阿拉伯、伊朗。
从机构角度看，排序前5位的分别为Nanchang Inst Technol、Nanchang Univ、Northwest A&F Univ、Chinese Acad Sci、China Inst Water Resources & Hydropower Res，数量分别达到328、33、31、25、16。
Nanchang Inst Technol、Nanchang Univ、Hohai Univ、East China Jiao Tong Univ、Anhui Normal Univ、Xian Univ Technol、Jiangxi Agr Univ、Jiangxi Univ Finance & Econ、Univ Elect Sci & Technol China、Beijing Jiaotong Univ、Chongqing Univ、Jiangxi Normal Univ、Jiangxi Sci & Technol Normal Univ、China Univ Geosci、Western Michigan Univ、Zhejiang Univ、East China Jiaotong Univ侧重于[water resource]、[climate change]、[heavy metal]、[poyang lake]、[important role]；Northwest A&F Univ、China Inst Water Resources & Hydropower Res、Wuhan Univ、Lanzhou Univ、Lanzhou Univ Technol、Southwest Univ Sci & Technol、Sun Yat Sen Univ侧重于[northwest china]、[random forest]、[input combination]、[irrigation level]、[weather station]；Chinese Acad Sci、Univ Chinese Acad Sci、Aarhus Univ、Hunan Agr Univ、Jiangxi Inst Water Sci、Middle East Tech Univ侧重于[plant community]、[environmental gradient]、[functional diversity]、[grain yield]、[indirect effect]。
从作者角度看，排序前5位的分别为Wu, Lifeng、Fan, Junliang、Zhang, Fucang、Li, Wei、Liu, Zhanmeng，数量分别达到33、22、19、15、11。
[1]Fan Junliang,Zheng Jing,Wu Lifeng,Zhang Fucang.Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models[J].AGRICULTURAL WATER MANAGEMENT,2021,245:10.1016/j.agwat.2020.106547
[2]Yan Shicheng,Wu Lifeng,Fan Junliang,Zhang Fucang,Zou Yufeng,Wu You.A novel hybrid WOA-XGB model for estimating daily reference evapotranspiration using local and external meteorological data: Applications in arid and humid regions of China[J].AGRICULTURAL WATER MANAGEMENT,2021,244:10.1016/j.agwat.2020.106594
[3]Zheng Jing,Fan Junliang,Zhang Fucang,Wu Lifeng,Zou Yufeng,Zhuang Qianlai.Estimation of rainfed maize transpiration under various mulching methods using modified Jarvis-Stewart model and hybrid support vector machine model with whale optimization algorithm[J].AGRICULTURAL WATER MANAGEMENT,2021,249:10.1016/j.agwat.2021.106799
[4]Dong Liming,Zeng Wenzhi,Wu Lifeng,Lei Guoqing,Chen Haorui,Srivastava Amit Kumar,Gaiser Thomas.Estimating the Pan Evaporation in Northwest China by Coupling CatBoost with Bat Algorithm[J].WATER,2021,13(3):10.3390/w13030256
[5]Fan Junliang,Wu Lifeng,Zheng Jing,Zhang Fucang.Medium-range forecasting of daily reference evapotranspiration across China using numerical weather prediction outputs downscaled by extreme gradient boosting[J].JOURNAL OF HYDROLOGY,2021,601:10.1016/j.jhydrol.2021.126664
[6]Liu Xiaoqiang,Wu Lifeng,Zhang Fucang,Huang Guomin,Yan Fulai,Bai Wenqiang.Splitting and Length of Years for Improving Tree-Based Models to Predict Reference Crop Evapotranspiration in the Humid Regions of China[J].WATER,2021,13(23):10.3390/w13233478
[7]Qian Long,Wu Lifeng,Liu Xiaogang,Dong Jianhua,Li Sien,Yang Qiliang,Cui Yaokui.A study of the conversion of different evaporation pans in South China based on the extreme learning machine model[J].HYDROLOGICAL SCIENCES JOURNAL,2021,66(16):2357-2381.10.1080/02626667.2021.1994977
[8]Dong Jianhua,Zeng Wenzhi,Lei Guoqing,Wu Lifeng,Chen Haorui,Wu Jingwei,Huang Jiesheng,Gaiser Thomas,Srivastava Amit Kumar.Simulation of dew point temperature in different time scales based on grasshopper algorithm optimized extreme gradient boosting[J].JOURNAL OF HYDROLOGY,2022,606:10.1016/j.jhydrol.2022.127452
[9]Qiu Rangjian,Li Longan,Wu Lifeng,Agathokleous Evgenios,Liu Chunwei,Zhang Baozhong.Comparison of machine learning and dynamic models for predicting actual vapour pressure when psychrometric data are unavailable[J].JOURNAL OF HYDROLOGY,2022,610:10.1016/j.jhydrol.2022.127989
[10]Duan Guosheng,Wu Lifeng,Liu Fa,Wang Yicheng,Wu Shaofei.Improvement in Solar-Radiation Forecasting Based on Evolutionary KNEA Method and Numerical Weather Prediction[J].SUSTAINABILITY,2022,14(11):10.3390/su14116824
[11]Wu Li-Feng,Qian Long,Huang Guo-Min,Liu Xiao-Gang,Wang Yi-Cheng,Bai Hua,Wu Shao-Fei.Assessment of Daily of Reference Evapotranspiration Using CLDAS Product in Different Climate Regions of China[J].WATER,2022,14(11):10.3390/w14111744
[12]Qian Long,Wu Lifeng,Liu Xiaogang,Cui Yaokui,Wang Yongwen.Comparison of CLDAS and Machine Learning Models for Reference Evapotranspiration Estimation under Limited Meteorological Data[J].SUSTAINABILITY,2022,14(21):10.3390/su142114577
[13]Liu Zhanmeng,Gao Zhimin,Wu Qin.Activation of persulfate by magnetic zirconium-doped manganese ferrite for efficient degradation of tetracycline[J].CHEMICAL ENGINEERING JOURNAL,2021,423:10.1016/j.cej.2021.130283
[14]Deng Bangliang,Yuan Xi,Siemann Evan,Wang Shuli,Fang Haifu,Wang Baihui,Gao Yu,Shad Nasir,Liu Xiaojun,Zhang Wenyuan,Guo Xiaomin,Zhang Ling.Feedstock particle size and pyrolysis temperature regulate effects of biochar on soil nitrous oxide and carbon dioxide emissions[J].WASTE MANAGEMENT,2021,120:33-40.10.1016/j.wasman.2020.11.015
[15]Xu Xintong,Yuan Xi,Zhang Qiang,Wei Qixuan,Liu Xiaojun,Deng Wenping,Wang Jiawei,Yang Wenting,Deng Bangliang,Zhang Ling.Biochar derived from spent mushroom substrate reduced N2O emissions with lower water content but increased CH4 emissions under flooded condition from fertilized soils in Camellia oleifera plantations[J].CHEMOSPHERE,2022,287:10.1016/j.chemosphere.2021.132110
[16]Yu Hongwei,Qi Weixiao,Cao Xiaofeng,Wang Yajun,Li Yang,Xu Yan,Zhang Xiaoliang,Peng Jianfeng,Qu Jiuhui.Impact of microplastics on the foraging, photosynthesis and digestive systems of submerged carnivorous macrophytes under low and high nutrient concentrations[J].ENVIRONMENTAL POLLUTION,2022,292:10.1016/j.envpol.2021.118220
[17]Li Ming,Wang Yang,Xue Honghai,Wu Lei,Wang Ying,Wang Chunqing,Gao Xingai,Li Zhonghe,Zhang Xi,Hasan Mudassir,Alruqi Mansoor,Bokhari Awais,Han Ning.Scientometric analysis and scientific trends on microplastics research[J].CHEMOSPHERE,2022,304:10.1016/j.chemosphere.2022.135337
[18]Li Ming,Wang Yang,Shen Zhangfeng,Chi Mingshu,Lv Chen,Li Chenyang,Bai Li,Thabet Hamdy Khamees,El-Bahy Salah M.,Ibrahim Mohamed M.,Chuah Lai Fatt,Show Pau Loke,Zhao Xiaolin.Investigation on the evolution of hydrothermal biochar[J].CHEMOSPHERE,2022,307:10.1016/j.chemosphere.2022.135774
[19]Hua Wei,Di Qing,Liang Tao,Liu Jia,Zhang Jie.Effects of spent mushroom substrate biochar on growth of oyster mushroom (Pleurotus ostreatus)[J].ENVIRONMENTAL TECHNOLOGY & INNOVATION,2022,28:10.1016/j.eti.2022.102729
[20]Wu Chunsheng,Shu Chunjie,Zhang Zhijian,Zhang Yi,Liu Yuanqiu.Effect of N deposition on the home-field advantage of wood decomposition in a subtropical forest[J].ECOLOGICAL INDICATORS,2022,140:10.1016/j.ecolind.2022.109043
[21]Gao G. Q.,Yang W. H.,Zeng K. H.,Hu L.,Wang X. L.,Liu Z. M..EFFECTS OF SINGLE AND COMBINED STRESS OF CU OR ZN ON THE PHOTOSYNTHETIC FLUORESCENCE CHARACTERISTICS OF VALLISNERIA NATANS[J].APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH,2022,:
[22]Chen N.,LI W.,Zhong J. Y.,Hu S. F.,Dai T. T.,Liu J. F.,Zhong X.,Zhou J. H.,Gao G. Q.,Chen Y. W.,Fan H. B..MITIGATING THE HARM CAUSED BY COPPER POLLUTION IN SEDIMENT TO SUBMERGED MACROPHYTES BY ADDING BIOCHAR TO WATER[J].APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH,2022,20(6):5433-5448.10.15666/aeer/2006_54335448
[23]Wu Kun,Tao Chaonan,Hu Zhenrui,Lei Hang,Zhong Jiayou,Li Wei,Zhang Chuanqiao,Wang Meng,Yang Shengjiong,Liu Ting.Simultaneous removal of tetracycline and arsenic(III) using copper-manganese composite oxide: Competition behaviors and removal mechanisms br[J].JOURNAL OF WATER PROCESS ENGINEERING,2022,49:10.1016/j.jwpe.2022.103117
[24]Huang Ting,Deng Yuxia,Zhang Xiaolong,Wu Daishe,Wang Xianglian,Huang Shan.Distribution, source identification, and health risk assessment of heavy metals in the soil-rice system of a farmland protection area in Hubei Province, Central China[J].ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2021,28(48):68897-68908.10.1007/s11356-021-15213-6
[25]Liu Shenzhou,Zeng Wenzhi,Wu Lifeng,Lei Guoqing,Chen Haorui,Gaiser Thomas,Srivastava Amit Kumar.Simulating the Leaf Area Index of Rice from Multispectral Images[J].REMOTE SENSING,2021,13(18):10.3390/rs13183663
[26]Chu Xiaodong,Wu Daishe,Wang Hao,Zheng Fangwen,Huang Cheng,Hu Liang.Spatial Distribution Characteristics and Risk Assessment of Nutrient Elements and Heavy Metals in the Ganjiang River Basin[J].WATER,2021,13(23):10.3390/w13233367
[27]Lu Yu,Kong Fanbin,Huang Luchen,Xiong Kai,Xu Caiyao,Wang Ben.Evaluation of the Implementation Effect of the Ecological Compensation Policy in the Poyang Lake River Basin Based on Difference-in-Difference Method[J].SUSTAINABILITY,2021,13(15):10.3390/su13158667
[28]Liu Zhanmeng,Lu Yemin,Duan Xianyue.Cr(VI) removal from water by magnetic ferrihydrite: adsorption performance and adsorbent characterization[J].INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY,2022,102(16):4089-4103.10.1080/03067319.2020.1779246
[29]Tang Ming,Xu Wentao,Zhang Chi,Shao Dongguo,Zhou Hanjie,Li Yanlei.Risk assessment of sectional water quality based on deterioration rate of water quality indicators: A case study of the main canal of the Middle Route of South-to-North Water Diversion Project[J].ECOLOGICAL INDICATORS,2022,135:10.1016/j.ecolind.2022.108592
[30]Lu Jianfeng,Yang Qiang.Location Optimization of Emergency Station for Dangerous Goods Accidents Considering Risk[J].SUSTAINABILITY,2022,14(10):10.3390/su14106088
[31]Liu Zhanmeng,Jiang Xinde,Sun Na.PREPARATION AND CHARACTERIZATION OF L-GLUTAMIC ACID/GRAPHENE OXIDE COMPOSITE FOR METHYL ORANGE AND Cr(VI) ADSORPTION[J].FRESENIUS ENVIRONMENTAL BULLETIN,2022,31(6A):6595-6605.1_406
[32]Liu Zhanmeng,Jiang Xinde,Wang Xianglian,Sun Na.Degradation of methyl orange by persulfate activated with magnetically separatable CuFe2O4/RGO nanocomposites: efficiency, stability, and synergy[J].DESALINATION AND WATER TREATMENT,2022,267:253-265.10.5004/dwt.2022.28669
[33]Liu Jianchao,Guo Jingying,Cai Yuanfei,Ren Jinghua,Lu Guanghua,Li Yiping,Ji Yong.Multimedia distribution and ecological risk of bisphenol analogues in the urban rivers and their bioaccumulation in wild fish with different dietary habits[J].PROCESS SAFETY AND ENVIRONMENTAL PROTECTION,2022,164:309-318.10.1016/j.psep.2022.06.025
[34]Ran Youhua,Li Xin,Cheng Guodong,Nan Zhuotong,Che Jinxing,Sheng Yu,Wu Qingbai,Jin Huijun,Luo Dongliang,Tang Zhiguang,Wu Xiaobo.Mapping the permafrost stability on the Tibetan Plateau for 2005-2015[J].SCIENCE CHINA-EARTH SCIENCES,2021,64(1):62-79.10.1007/s11430-020-9685-3
[35]Wu Lifeng,Peng Youwen,Fan Junliang,Wang Yicheng,Huang Guomin.A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel computation[J].AGRICULTURAL WATER MANAGEMENT,2021,245:10.1016/j.agwat.2020.106624
[36]Chu Xiaodong,Wang Hao,Zheng Fangwen,Huang Cheng,Xu Chunxia,Wu Daishe.Spatial Distribution Characteristics and Sources of Nutrients and Heavy Metals in the Xiujiang River of Poyang Lake Basin in the Dry Season[J].WATER,2021,13(12):10.3390/w13121654
[37]Fu Hui,Zhou Ye,Yuan Guixiang,Peng Hui,Wu Aiping,Li Wei,Jeppesen Erik.Environmental and spatial drivers for wetland plant communities in a freshwater lake: Reduced coupling of species and functional turnover[J].ECOLOGICAL ENGINEERING,2021,159:10.1016/j.ecoleng.2020.106092
[38]Xu Jinying,Wang Xiaolong,Liu Jinfu,Xiong Lili,Xu Ligang,Hu Chunhua.The influence of water regime on cadmium uptake by Artemisia: A dominant vegetation in Poyang Lake wetland[J].JOURNAL OF ENVIRONMENTAL MANAGEMENT,2021,297:10.1016/j.jenvman.2021.113258
[39]Liu Yao,Fan Jie-Ping,Jiang Hui.Evaluation of Parametric and Nonparametric Algorithms for the Estimation of Suspended Particulate Matter in Turbid Water using Gaofen-1 Wide Field-of-view Sensors[J].JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,2021,49(11):2673-2687.10.1007/s12524-021-01405-7
[40]Xu Wentao,Tang Ming,Li Yanlei.A new method for assessment of regional drought risk: information diffusion and interval mapping adjustment based on k-means cluster points[J].JOURNAL OF WATER AND CLIMATE CHANGE,2022,13(12):4302-4316.10.2166/wcc.2022.345
[41]Fu Hui,Wang Xiaoyan,Ge Dabing,Li Wei,Tan Xiaoyao,Yuan Guixiang,Jeppesen Erik.Human activities uncouple the cascading effects of hydrological gradients on plant diversity and ecosystem functions in the Lake Dongting wetland[J].ECOHYDROLOGY,2022,15(1):10.1002/eco.2359
[42]Wang Haidong,Wu Lifeng,Wang Xiukang,Zhang Shaohui,Cheng Minghui,Feng Hao,Fan Junliang,Zhang Fucang,Xiang Youzhen.Optimization of water and fertilizer management improves yield, water, nitrogen, phosphorus and potassium uptake and use efficiency of cotton under drip fertigation[J].AGRICULTURAL WATER MANAGEMENT,2021,245:10.1016/j.agwat.2020.106662
[43]Wu You,Yan Shicheng,Fan Junliang,Zhang Fucang,Zhao Wenju,Zheng Jing,Guo Jinjin,Xiang Youzhen,Wu Lifeng.Combined effects of irrigation level and fertilization practice on yield, economic benefit and water-nitrogen use efficiency of drip-irrigated greenhouse tomato[J].AGRICULTURAL WATER MANAGEMENT,2022,262:10.1016/j.agwat.2021.107401
[44]Yan Shicheng,Wu You,Fan Junliang,Zhang Fucang,Guo Jinjin,Zheng Jing,Wu Lifeng.Optimization of drip irrigation and fertilization regimes to enhance winter wheat grain yield by improving post-anthesis dry matter accumulation and translocation in northwest China[J].AGRICULTURAL WATER MANAGEMENT,2022,271:10.1016/j.agwat.2022.107782
[45]Yan Shicheng,Wu You,Fan Junliang,Zhang Fucang,Guo Jinjin,Zheng Jing,Wu Lifeng.Quantifying grain yield, protein, nutrient uptake and utilization of winter wheat under various drip fertigation regimes[J].AGRICULTURAL WATER MANAGEMENT,2022,261:10.1016/j.agwat.2021.107380
[46]Yan Shicheng,Wu You,Fan Junliang,Zhang Fucang,Guo Jinjin,Zheng Jing,Wu Lifeng,Lu Junsheng.Quantifying nutrient stoichiometry and radiation use efficiency of two maize cultivars under various water and fertilizer management practices in northwest China[J].AGRICULTURAL WATER MANAGEMENT,2022,271:10.1016/j.agwat.2022.107772
[47]Wu You,Si Wei,Yan Shicheng,Wu Lifeng,Zhao Wenju,Zhang Jiale,Zhang Fucang,Fan Junliang.Water consumption, soil nitrate-nitrogen residue and fruit yield of drip-irrigated greenhouse tomato under various irrigation levels and fertilization practices[J].AGRICULTURAL WATER MANAGEMENT,2023,277:10.1016/j.agwat.2022.108092
[48]Liang Lianhui,Zhang Shaoquan,Li Jun,Cui Zhi.HYPERSPECTRAL IMAGE CLASSIFICATION VIA DOUBLE-BRANCH MULTI-SCALE SPECTRAL-SPATIAL CONVOLUTION NETWORK[C].2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022),kuala lumpur, malaysia:ieee,2022:3588-3591
[49]Shan Yueshuai,Zhang Shaoquan,Hong Shanqi,Li Fan,Deng Chengzhi,Wang Shengqian.CASCADED AUTOENCODERS FOR SPECTRAL-SPATIAL REMOTELY SENSED HYPERSPECTRAL IMAGERY UNMIXING[C].2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022),kuala lumpur, malaysia:ieee,2022:3271-3274
[50]Zhang Hao,Lei Lin,Zhang Shaoquan,Huang Min,Li Fan,Deng Chengzhi,Wang Shengqian.SPATIAL GRAPH REGULARIZED NONNEGATIVE MATRIX FACTORIZATION FOR HYPERSPECTRAL UNMIXING[C].2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022),kuala lumpur, malaysia:ieee,2022:1624-1627
[51]Hu Kun,Che Jinxing.A reduced-form ensemble of short-term air quality forecasting with the Sparrow search algorithm and decomposition error correction[J].ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2023,:
[52]Liang Lianhui,Zhang Shaoquan,Li Jun,Plaza Antonio,Cui Zhi.Multi-Scale Spectral-Spatial Attention Network for Hyperspectral Image Classification Combining 2D Octave and 3D Convolutional Neural Networks[J].REMOTE SENSING,2023,15(7):10.3390/rs15071758
[53]Zhang Guanhua,Ding Wenfeng,Liu Huiying,Yi Liang,Lei Xu,Zhang Ouyang.Quantifying Climatic and Anthropogenic Influences on Water Discharge and Sediment Load in Xiangxi River Basin of the Three Gorges Reservoir Area[J].WATER RESOURCES,2021,48(2):204-218.10.1134/s0097807821020184
[54]Jiang Yingzi,Raji Arul Prakash,Raja Vijayanandh,Wang Fuzhang,AL-Bonsrulah Hussein A. Z.,Murugesan Ramesh,Ranganathan Sudhakaran.Multi-Disciplinary Optimizations of Small-Scale Gravitational Vortex Hydropower (SGVHP) System through Computational Hydrodynamic and Hydro-Structural Analyses[J].SUSTAINABILITY,2022,14(2):10.3390/su14020727
[55]Li Xuerong.Can Collecting Water Fees Really Promote Agricultural Water-Saving? Evidence from Seasonal Water Shortage Areas in South China[J].SUSTAINABILITY,2022,14(19):10.3390/su141912881
[56]Deng Zhi-Ping,Pan Min,Niu Jing-Tai,Jiang Shui-Hua,Qian Wu-Wen.Slope reliability analysis in spatially variable soils using sliced inverse regression-based multivariate adaptive regression spline[J].BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,2021,80(9):7213-7226.10.1007/s10064-021-02353-9
[57]Jiang Shui-Hua,Huang Jinsong,Griffiths D. V,Deng Zhi-Ping.Advances in reliability and risk analyses of slopes in spatially variable soils: A state-of-the-art review[J].COMPUTERS AND GEOTECHNICS,2022,141:
[58]Deng Zhi-Ping,Pan Min,Niu Jing-Tai,Jiang Shui-Hua.Full probability design of soil slopes considering both stratigraphic uncertainty and spatial variability of soil properties[J].BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,2022,81(5):10.1007/s10064-022-02702-2
[59]Li Ming,Han Ning,Zhang Xi,Wang Shuo,Jiang Man,Bokhari Awais,Zhang Wei,Race Marco,Shen Zhangfeng,Chen Ruofei,Mubashir Muhammad,Khoo Kuan Shiong,Sen Teo Swee,Show Pau Loke.Perovskite oxide for emerging photo(electro)catalysis in energy and environment[J].ENVIRONMENTAL RESEARCH,2022,205:10.1016/j.envres.2021.112544
[60]Xia Li,Zhou Wenxi,Xu Yifan,Xia Zhengqiang,Wang Xinzhi,Yang Qi,Xie Gang,Chen Sanping,Gao Shengli.Ferrocene-boosting Zr-MOFs for efficient photocatalytic CO2 reduction: A trade-off between enhancing LMCT and frustrating Lewis acid[J].CHEMICAL ENGINEERING JOURNAL,2023,451:10.1016/j.cej.2022.138747
[61]Li Yuhan,Chen Bangfu,Ouyang Ping,Duan Youyu,Ong Wee-Jun,Dong Fan.Engineering ZnSn(OH)(6 )with ternary active sites-directed hydroxyl vacancies for robust deep C6H6 photo-oxidation: Experiment and DFT calculations[J].CHEMICAL ENGINEERING JOURNAL,2023,451:10.1016/j.cej.2022.138695
[62]Jia Ming-Ming,Li Liang,Hong Cheng,Liu Kai,Sun Lin.EXPERIMENT OF HYSTERETIC BEHAVIOR AND STABILITY PERFORMANCE OF BUCKLING-RESTRAINED BRACED COMPOSITE FRAME[J].ADVANCED STEEL CONSTRUCTION,2021,17(2):149-157.10.18057/ijasc.2021.17.2.5
[63]Wang Chunling,Huang Biao,Xu Tibing,Zhu David Z.,Wang Lingling,Wang Yin.Numerical modeling of energy dissipation of internal solitary waves encountering step topography[J].OCEAN ENGINEERING,2022,259:10.1016/j.oceaneng.2022.111853
[64]Xiao Yaoting,Zhu Yuelu.Study of the water vertical infiltration path in unsaturated soil based on a variational method: application of power function distribution of D(theta)[J].HYDROLOGICAL SCIENCES JOURNAL,2022,67(15):2254-2261.10.1080/02626667.2022.2139622
[65]Dai Lulu,Xu Yansen,Harmens Harry,Duan Honglang,Feng Zhaozhong,Hayes Felicity,Sharps Katrina,Radbourne Alan,Tarvainen Lasse.Reduced photosynthetic thermal acclimation capacity under elevated ozone in poplar (Populus tremula) saplings[J].GLOBAL CHANGE BIOLOGY,2021,27(10):2159-2173.10.1111/gcb.15564
[66]Wu Chunsheng,Shu Chunjie,Zhang Zhijian,Zhang Yi,Liu Yuanqiu.Phosphorus deposition accelerates wood decomposition and temperature sensitivity in a subtropical forest[J].ECOLOGICAL INDICATORS,2021,128:10.1016/j.ecolind.2021.107819
[67]Li Wei,Zhong Jiayou,Liu Jinfu,Dai Taotao,Curtis Jeff.Allocation of phosphorus (P) into biomass and calcite encrustation in Chara at high and low P availability[J].AQUATIC SCIENCES,2023,85(2):10.1007/s00027-023-00938-y
[68]Chen Yonggang,Deng Chengzhi,Zhang Shaoquan,Li Fan,Zhang Ningyuan,Wang Shengqian.DUAL SPATIAL WEIGHTED SPARSE HYPERSPECTRAL UNMIXING[C].2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022),kuala lumpur, malaysia:ieee,2022:1772-1775
[69]He Danli,Li Fan,Zhang Shaoquan,Chen Yonggang,Deng Chengzhi,Wang Shengqian.DUAL REWEIGHTED LOW-RANK SPARSE UNMIXING WITH TOTAL VARIATION REGULARIZATION[C].2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022),kuala lumpur, malaysia:ieee,2022:3287-3290
[70]Huang Shan,Chen Peixian,Hu Kuanyun,Qiu Yecheng,Feng Weiwei,Ren Zhipeng,Wang Xianglian,Huang Ting,Wu Daishe.Characteristics and source identification of fine particles in the Nanchang subway, China[J].BUILDING AND ENVIRONMENT,2021,199:10.1016/j.buildenv.2021.107925
[71]Wu Quanquan,Wang Xianglian,Ji Kai,Qiu Haibing,Feng Weiwei,Huang Shan,Huang Ting,Li Jianlong,Wu Daishe.PM2.5-Related Health Risk during Chinese Spring Festival in Taizhou, Zhejiang: The Health Impacts of COVID-19 Lockdown[J].ATMOSPHERE,2022,13(12):10.3390/atmos13122099
[72]Sun Zhilin,Tu Wenrong,Fang Shibiao.Experimental study of a solar water treatment device with dome structure cover in winter: performance evaluation and comparative analysis[J].WATER SUPPLY,2022,22(1):945-956.10.2166/ws.2021.223
[73]Sun Zhilin,Tu Wenrong,Fang Shibiao.Comparison between double slope solar still and fourfold slope solar still: energy, exergy, exergoeconomic, and enviroeconomic evaluation[J].WATER SUPPLY,2022,22(3):2929-2945.10.2166/ws.2021.425
[74]He Miao,Wu Shaofei,Huang Binbin,Kang Chuanxiong,Gui Faliang.Prediction of Total Nitrogen and Phosphorus in Surface Water by Deep Learning Methods Based on Multi-Scale Feature Extraction[J].WATER,2022,14(10):10.3390/w14101643
[75]He Miao,Wu Shao-Fei,Kang Chuan-Xiong,Xu Xian,Liu Xiao-Feng,Tang Ming,Huang Bin-Bin.Can sampling techniques improve the performance of decomposition-based hydrological prediction models? Exploration of some comparative experiments[J].APPLIED WATER SCIENCE,2022,12(8):10.1007/s13201-022-01696-2
[76]Hu Yangcheng,Liu Yi,Yan Zhongyue.Research Regarding the Coupling and Coordination Relationship between New Urbanization and Ecosystem Services in Nanchang[J].SUSTAINABILITY,2022,14(22):10.3390/su142215041
[77]Hu Yangcheng,Liu Yi,Li Changyan.Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value in the Middle Reaches of Yangtze River Urban Agglomeration[J].SUSTAINABILITY,2022,14(23):10.3390/su142315738
[78]Yang Zhongping,Zhao Qian,Liu Xinrong,Yin Zhiming,Zhao Yalong,Li Xuyong.Experimental Study on the Movement and Failure Characteristics of Karst Mountain with Deep and Large Fissures Induced by Coal Seam Mining[J].ROCK MECHANICS AND ROCK ENGINEERING,2022,55(8):4839-4867.10.1007/s00603-022-02910-y
[79]Zhang Baohua,Zhang Zhenkang,Zheng Peng.Reliability Analysis of Gravity Retaining Wall[C].PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING,nanchang inst technol, nanchang, peoples r china:springer international publishing ag,2022:487-494
[80]Huang Hong,Wang Yi,Zhang Liqing,Chen Mengcheng,Zhu Yanqi.Study on the mechanical behavior of L-shaped concrete-filled steel tubular columns under axial compression[J].STRUCTURAL CONCRETE,2022,:
[81]Yao Xingyou,Yang Jiabao,Guo Yanli.Study on Restoring Force Model of Cold-Formed Thin-Walled Steel Lipped Channel Beam-Columns under Cyclic Load[J].BUILDINGS,2023,13(1):10.3390/buildings13010114
[82]Song Hui,Yao Jinwei,Luo Yuming,Gui Faliang.A chemical-mechanics model for the mechanics deterioration of pervious concrete subjected to sulfate attack[J].CONSTRUCTION AND BUILDING MATERIALS,2021,312:10.1016/j.conbuildmat.2021.125383
[83]Song Hui,Yao Jinwei,Xiang Junzheng.The role of aggregate and cement paste in the deterioration of the transitional interface zone of pervious concrete during freeze-thaw cycles[J].CASE STUDIES IN CONSTRUCTION MATERIALS,2022,16:10.1016/j.cscm.2022.e01086
[84]Wang Xianglian,Zhang Baojun,Wu Daishe,Hu Liang,Huang Ting,Gao Guiqing,Huang Shan,Wu Shan.Chemical forms governing Cd tolerance and detoxification in duckweed (Landoltia punctata)[J].ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,2021,207:10.1016/j.ecoenv.2020.111553
[85]Wang Xianglian,Hu Liang,Wu Daishe,Huang Ting,Zhang Baojun,Cai Guanjun,Gao Guiqing,Liu Zhanmeng,Huang Xueping,Zhong Zhiyao.Large-scale screening and characterization of Cd accumulation and ultrastructural deformation in duckweed[J].SCIENCE OF THE TOTAL ENVIRONMENT,2022,832:10.1016/j.scitotenv.2022.154948
[86]Zhou Jihai,Xu Xiaoyang,Huang Guomin,Li Wei,Wei Qian,Zheng Jiyong,Han Fengpeng.Oil degradation and variation of microbial communities in contaminated soils induced by different bacterivorous nematodes species[J].ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,2022,229:10.1016/j.ecoenv.2021.113079
[87]Hu L.,Zhang B. J.,Wu D. S.,Liu Y.,Gao G. Q.,Wang X. L.,Hu S. M.,Fan H. B.,Fang H. Y..EFFECTS OF DIFFERENT EXOGENOUS SELENIUM ON ENZYME ACTIVITIES AND MICROORGANISMS IN ARSENIC-CONTAMINATED SOIL[J].APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH,2022,:
[88]Liu Binshuo,Hu Yunhang,Wang Ying,Xue Honghai,Li Zhonghe,Li Ming.Effects of saline-alkali stress on bacterial and fungal community diversity in Leymus chinensis rhizosphere soil[J].ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2022,29(46):70000-70013.10.1007/s11356-022-20270-6
[89]Zhou Jihai,Wang Yang,Huang Guomin,Zhang Chenyang,Ai Yanmei,Li Wei,Li Xiaoping,Zhang Pingjiu,Zhang Jie,Huang Yongjie,Zhou Shoubiao,Zheng Jiyong.Variation of microbial activities and communities in petroleum-contaminated soils induced by the addition of organic materials and bacterivorous nematodes[J].ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,2022,237:10.1016/j.ecoenv.2022.113559
[90]Liu Lingli,Xu Sheng,Wang Zhenxi,Chen Xiaoguang,Cao Meng,Zhang Shangxi,Liu Yang,Cui Jinlong.Building of soft-hard compound brush in porous PVA/NH2@TAtZnO plural gel and the high-efficiency anti-interference removal on Pb(II)[J].CHEMOSPHERE,2023,319:10.1016/j.chemosphere.2023.137990
[91]Zhang J.,Zhang Y.,Feng Y.,Yan R.,Shi Y.,Ji Y..Impact and prospects of water conservation on fish habitat and advances of ecobiology operation in Yangtze River, China: A review[J].JOURNAL OF ENVIRONMENTAL BIOLOGY,2021,42(5):1201-1212
[92]Yao Xingyou,Liu Yafei,Zhang Shile,Guo Yanli,Hu Chengli.Experiment and Design Method of Cold-Formed Thin-Walled Steel Double-Lipped Equal-Leg Angle under Axial Compression[J].BUILDINGS,2022,12(11):10.3390/buildings12111775
[93]Liu Baogui,Wu Jiayi,Hu Yang,Wang Guoxiang,Chen Yuwei.Seven Years Study of the Seasonal Dynamics of Zooplankton Communities in a Large Subtropical Floodplain Ecosystem: A Test of the PEG Model[J].INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2022,19(2):10.3390/ijerph19020956
[94]Peng Yajuan,Liu Zhongming,Liu Xinxin,Sheng Mingqiang,Li Huiping,Xu Xiaoyun,Ai Luoyan,Yan Qin,Yang Yunlong.Preparation of composite micro-slag based on the application of tailings slag in cement and concrete[J].CONSTRUCTION AND BUILDING MATERIALS,2022,322:10.1016/j.conbuildmat.2022.126515
[95]Yang Zhimin,Li Chunhui,Liu Yaojun,Duan Jian,Zhang Lichao,Li Zhongwu,Zhou Xiangyu,Li Qi,Ma Yichun,Tian Liang.Roles of the stolon and erect grass species in surface-subsurface flow generation and red soil loss[J].JOURNAL OF HYDROLOGY,2023,617:10.1016/j.jhydrol.2022.128827
[96]Qian Wuwen,Chai Junrui,Zhao Xinyu,Niu Jingtai,Xiao Fang,Deng Zhiping.Inversion method of hydraulic conductivity for steady-state problem based on reduced-order model constructed by improved greedy sampling method[J].ADVANCES IN WATER RESOURCES,2022,166:10.1016/j.advwatres.2022.104260
[97]Sun Na,Wang Xianglian,Liu Zhanmeng.Acetaminophen degradation in aqueous solution by the UV-LED-EC/Cl-2 process[J].ENVIRONMENTAL TECHNOLOGY,2023,44(7):1035-1046.10.1080/09593330.2022.2161951
[98]Bai Hua.Copula-based standardized precipitation evapotranspiration index and its evaluation in China[J].JOURNAL OF HYDROLOGY,2022,615:10.1016/j.jhydrol.2022.128587
[99]Ju Haiyan,Fang Xiaoyong,Fu Mingfu,Liu Xingxing,Yang Chen.Application of the high-density resistivity method to detect the hidden trouble in the Mine Sewage Dam[C].INTERNATIONAL CONFERENCE ON SMART TRANSPORTATION AND CITY ENGINEERING 2021,chongqing, peoples r china:spie-int soc optical engineering,2021:
[100]Jiang Hui,Liu Yao.Performance Evaluation and Field Application of Prefabricated Grass-Planting Concrete Blocks with Concave-Convex Construction for Mid-Sized and Small River Revetment Projects[J].POLISH JOURNAL OF ENVIRONMENTAL STUDIES,2022,31(1):99-110.10.15244/pjoes/138720
[101]Lee Chien-Chiang,Olasehinde-Williams Godwin.Gasoline demand elasticities in the world’s energy gluttons: a time-varying coefficient approach[J].ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2021,28(45):64830-64847.10.1007/s11356-021-15615-6
[102]Chen Lei,Chang Jianxia,Wang Yimin,Guo Aijun,Liu Yuanyuan,Wang Qianqian,Zhu Yuelu,Zhang Yong,Xie Zhengyi.Disclosing the future food security risk of China based on crop production and water scarcity under diverse socioeconomic and climate scenarios[J].SCIENCE OF THE TOTAL ENVIRONMENT,2021,790:10.1016/j.scitotenv.2021.148110
[103]Wang Shaowei,Xu Cong,Liu Yi,Wu Bangbin.Mixed-coefficient panel model for evaluating the overall deformation behavior of high arch dams using the spatial clustering[J].STRUCTURAL CONTROL & HEALTH MONITORING,2021,28(10):10.1002/stc.2809
[104]Jin Yudan,Li Ling,Jia Yun,Shao Jianfu,Rougelot Thomas,Burlion Nicolas.Numerical study of shrinkage and heating induced cracking in concrete materials and influence of inclusion stiffness with Peridynamics method[J].COMPUTERS AND GEOTECHNICS,2021,133:10.1016/j.compgeo.2021.103998
[105]Liu Zhanmeng,Chen Gang,Hu Fengping,Lu Xiuguo.Preparation of molecularly imprinted metal-organic frameworks for the selective removal of norfloxacin by an in-situ self-assembly template strategy[J].CHEMOSPHERE,2021,262:10.1016/j.chemosphere.2020.127832
[106]Hou Yiping,Zhang Mingfang,Wei Xiaohua,Liu Shirong,Li Qiang,Cai Tijiu,Liu Wenfei,Zhao Runqi,Liu Xiangzhuo.Quantification of ecohydrological sensitivities and their influencing factors at the seasonal scale[J].HYDROLOGY AND EARTH SYSTEM SCIENCES,2021,25(3):1447-1466.10.5194/hess-25-1447-2021
[107]Ao Chang,Zeng Wenzhi,Wu Lifeng,Qian Long,Srivastava Amit Kumar,Gaiser Thomas.Time-delayed machine learning models for estimating groundwater depth in the Hetao Irrigation District, China[J].AGRICULTURAL WATER MANAGEMENT,2021,255:10.1016/j.agwat.2021.107032
[108]Wang Yonggang,Zhang Heng,Shi Ning.Factors Contributing to the Severity of Heavy Truck Crashes: A Comparative Study of Jiangxi and Shaanxi, China[J].JORDAN JOURNAL OF CIVIL ENGINEERING,2021,15(1):41-51.1_490
[109]Ji Zhong-Min,Hu Sheng-Ming,Chen Zhi-Jian,Niu Qing-He,Wang Ting-Hui,Wu Fa-Quan.Laboratory investigation of the effect of the rotational speed on the coefficient of restitution[J].ENGINEERING GEOLOGY,2021,292:10.1016/j.enggeo.2021.106196
[110]Yao Xingyou.Experimental Investigation and Load Capacity of Slender Cold-Formed Lipped Channel Sections with Holes in Compression[J].ADVANCES IN CIVIL ENGINEERING,2021,2021:10.1155/2021/6658099
[111]Wan Peng,Lei Xiaoyan,Xu Bin,Song Hui.A Strain Rate-Dependent Damage Evolution Model for Concrete Based on Experimental Results[J].ADVANCES IN CIVIL ENGINEERING,2021,2021:10.1155/2021/6643263
[112]Guo Yanli,Yao Xingyou.Experimental Study and Effective Width Method for Cold-Formed Steel Lipped Channel Stud Columns with Holes[J].ADVANCES IN CIVIL ENGINEERING,2021,2021:10.1155/2021/9949199
[113]Tang Li,Zhang Yongbo,Shi Hong,Hu Yangcheng.Runoff generation, confluence mechanism, and water balance change of coal mining areas with goaf: Establishment of a runoff prediction model[J].JOURNAL OF HYDROLOGY,2021,603:10.1016/j.jhydrol.2021.127023
[114]Lu Jianfeng,Wang Xiaoxia,Zhao Jiahong.Optimization of Emergency Supplies Scheduling for Hazardous Chemicals Storage Considering Risk[J].SUSTAINABILITY,2021,13(19):10.3390/su131910718
[115]Chen Chenghao,Chen Shengshui,Mei Shiang,Tang Yi,Li Yuhan.A Large-Scale True Triaxial Seepage Apparatus for Evaluating Impact under High Stress State and High Hydraulic Heads[J].GEOTECHNICAL TESTING JOURNAL,2021,44(6):1617-1634.10.1520/gtj20200070
[116]Wei Xiaohua,Hou Yiping,Zhang Mingfang,Li Qiang,Giles-Hansen Krysta,Liu Wenfei.Reexamining forest disturbance thresholds for managing cumulative hydrological impacts[J].ECOHYDROLOGY,2021,:
[117]Cao Jian,Pan Xinpeng,Zeng Jingqi,Zeng Lingyun.Creep of CFRP confined reinforced concrete members under large eccentric compression[C].2020 2ND INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING, ENVIRONMENT RESOURCES AND ENERGY MATERIALS,changsha, peoples r china:iop publishing ltd,2021:
[118]Zhu Yuelu,Xiao Yaoting.Research on a Key Question in the Parlange Solution[J].KSCE JOURNAL OF CIVIL ENGINEERING,2021,:
[119]Yang Miaosen,Liu Shuai,Sun Jiaqiang,Jin Mengmeng,Fu Rao,Zhang Shusheng,Li Hongyi,Sun Zhiyong,Luo Jun,Liu Xijun.Highly dispersed Bi clusters for efficient rechargeable Zn-CO2 batteries[J].APPLIED CATALYSIS B-ENVIRONMENTAL,2022,307:10.1016/j.apcatb.2022.121145
[120]Ran Youhua,Li Xin,Cheng Guodong,Che Jingxin,Aalto Juha,Karjalainen Olli,Hjort Jan,Luoto Miska,Jin Huijun,Obu Jaroslav,Hori Masahiro,Yu Qihao,Chang Xiaoli.New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere[J].EARTH SYSTEM SCIENCE DATA,2022,14(2):865-884.10.5194/essd-14-865-2022
[121]Li Yuhan,Ren Ziteng,Gu Miaoli,Duan Youyu,Zhang Wei,Lv Kangle.Synergistic effect of interstitial C doping and oxygen vacancies on the photoreactivity of TiO2 nanofibers towards CO2 reduction[J].APPLIED CATALYSIS B-ENVIRONMENTAL,2022,317:10.1016/j.apcatb.2022.121773
[122]Fu Hui,Chen Lidan,Ge Yili,Wu Aiping,Liu Huanyao,Li Wei,Yuan Guixiang,Jeppesen Erik.Linking human activities and global climatic oscillation to phytoplankton dynamics in a subtropical lake[J].WATER RESEARCH,2022,208:10.1016/j.watres.2021.117866
[123]Lee Chien-Chiang,Hussain Jafar.Optimal behavior of environmental regulations to reduce carbon emissions: A simulation-based dual green gaming model[J].ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2022,29(37):56037-56054.10.1007/s11356-022-19710-0
[124]Song Haobin,Li Tong,He Tingting,Wang Zhouhao,Fang Daliang,Wang Ye,Li Xue Liang,Zhang Daohong,Hu Junping,Huang Shaozhuan.Cooperative catalytic Mo-S-Co heterojunctions with sulfur vacancies for kinetically boosted lithium-sulfur battery[J].CHEMICAL ENGINEERING JOURNAL,2022,450:10.1016/j.cej.2022.138115
[125]Kan Daxue,Ye Xinya,Lyu Lianju,Huang Weichiao.Study on the Coupling Coordination between New-Type Urbanization and Water Ecological Environment and Its Driving Factors: Evidence from Jiangxi Province, China[J].INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2022,19(16):10.3390/ijerph19169998
[126]Li Jiapo,Li Xiaoda,Liu Kai,Yao Zhiyong.Crack Identification for Bridge Structures Using an Unmanned Aerial Vehicle (UAV) Incorporating Image Geometric Correction[J].BUILDINGS,2022,12(11):10.3390/buildings12111869
[127]Kan Daxue,Lyu Lianju,Huang Weichiao,Yao Wenqing.The Impact of Urban Education on the Income Gap of Urban Residents: Evidence from Central China[J].SUSTAINABILITY,2022,14(8):10.3390/su14084493
[128]Luo Peilan,Ye Menglin,Zhou Wenli,Wan Pingping,Ma Zhongyun,Qiu Zhongxian,Zhang Jilin,Liu Ru-Shi,Lian Shixun.Simultaneous construction of impermeable dual-shell stabilizing fluoride phosphors for white light-emitting diodes[J].CHEMICAL ENGINEERING JOURNAL,2022,435:10.1016/j.cej.2022.134951
[129]Hou Suxia,Zheng Yangning,Zandi Yousef,Khadimallah Mohamed Amine,Ebtekar Arash.The free vibration analysis of carbon nanotubes-reinforced deep conical shells with an intermediate ring support under various boundary conditions[J].ENGINEERING STRUCTURES,2022,263:10.1016/j.engstruct.2022.114291
[130]Yan Shicheng,Wu You,Fan Junliang,Zhang Fucang,Zheng Jing,Guo Jinjin,Lu Junsheng,Wu Lifeng,Qiang Shengcai,Xiang Youzhen.Source-sink relationship and yield stability of two maize cultivars in response to water and fertilizer inputs in northwest China[J].AGRICULTURAL WATER MANAGEMENT,2022,262:10.1016/j.agwat.2021.107332
[131]Guo Yingjia,You Zongzhe,Wei Bowen.Working Mode Identification Method for High Arch Dam Discharge Structure Based on Improved Wavelet Threshold-EMD and RDT Algorithm[J].WATER,2022,14(22):10.3390/w14223735
[132]Li Jun,Liu Chunye,Tang Li.Forecast of regional water demand based on NSGAII-FORAGM[J].WATER SUPPLY,2022,22(2):1889-1904.10.2166/ws.2021.309
[133]Han Yixiu,Tang Rui,Liao Zhenqi,Zhai Bingnian,Fan Junliang.A Novel Hybrid GOA-XGB Model for Estimating Wheat Aboveground Biomass Using UAV-Based Multispectral Vegetation Indices[J].REMOTE SENSING,2022,14(14):10.3390/rs14143506
[134]Jiang Zhen-Xiang,Chen Hui.A new early warning method for dam displacement behavior based on non-normal distribution function[J].WATER SCIENCE AND ENGINEERING,2022,15(2):170-178.10.1016/j.wse.2022.04.001
[135]Chu Changbao,Zhu Renjie,Jia Xingjian.Controller Design of a Brake-By-Wire System Based on Giant-Magnetostrictive Material for an Intelligent Vehicle[J].SUSTAINABILITY,2022,14(17):10.3390/su141711057
[136]Dong Xiaobo,Zhang Yuanyuan,Zhou Yiren.ANALYSIS OF RESERVOIR PETROLOGY AND RESERVOIR SPACE CHARACTERISTICS OF TRIASSIC CHANG 8 MEMBER IN HUANJIANG OILFIELD, ORDOS BASIN[J].FRESENIUS ENVIRONMENTAL BULLETIN,2022,31(7):7092-7103.1_175
[137]Zhang Yuanyuan,Dong Xiaobo,Zhou Yiren.PREPARATION OF PLA/NANOCELLULOSE DEGRADABLE ENVIRONMENTALLY FRIENDLY FOOD PACKAGING MATERIALS[J].FRESENIUS ENVIRONMENTAL BULLETIN,2022,31(6A):6652-6658.1_181
[138]Yuan Xinhua,Yang Tingting,Zhou Yiren.EXPERIMENT ON ECO-FRIENDLY RECYCLED MATERIALS OF BRICK-CONCRETE CONSTRUCTION WASTE[J].FRESENIUS ENVIRONMENTAL BULLETIN,2022,31(8):7921-7930.1_205
[139]Tang Ming,Xu Wentao,Zhang Chi,Shao Dongguo,Zhou Hanjie,Li Yanlei.Risk assessment of sectional water quality based on deterioration rate of water quality indicators: A case study of the main canal of the Middle Route of South-to-North Water Diversion Project (vol 135, 108592, 2022)[J].ECOLOGICAL INDICATORS,2022,137:
[140]Tang Jiahua,Zhang Du,Sun Xibin,Qin Haiou.Improving Temporal Event Scheduling through STEP Perpetual Learning[J].SUSTAINABILITY,2022,14(23):10.3390/su142316178
[141]Li Yanggui,Wang Lei,Zhao Yun,Wang Heping,Li Shengshan,Jia Jinfang.Numerical investigation of the flow characteristics of Bingham fluid on a slope with corrected smooth particle hydrodynamics[J].FRONTIERS IN ENVIRONMENTAL SCIENCE,2022,10:10.3389/fenvs.2022.1060703
[142]Yuan Guixiang,Tan Xiaoyao,Guo Peiqin,Xing Ke,Chen Zhenglong,Li Dongbo,Yu Sizhe,Peng Hui,Li Wei,Fu Hui,Jeppesen Erik.Linking trait network to growth performance of submerged macrophytes in response to ammonium pulse[J].WATER RESEARCH,2023,229:10.1016/j.watres.2022.119403
[143]Lu Jianfeng.The Influencing Mechanism of Urban Travel Carbon Emissions from the Perspective of Built Environment: The Case of Guangzhou, China[J].ATMOSPHERE,2023,14(3):10.3390/atmos14030547
[144]Tang Ming,Xu Wentao,Xie Qianchen,Wu Yuze,Li Yanlei,Zhang Huanwei.An improved ‘assessment on comprehensive index’ for drought risk through an iterative transformation of ‘spatiotemporal vector’: a case study of Anhui Province, PRC[J].WATER SUPPLY,2023,23(3):1144-1160.10.2166/ws.2023.044
[145]Li Zhiwen,Wu Duohua,Xu Manqing,Xia Zhifan.Scattering of plane SH waves by a semi-circular discontinuity in an elastic half-plane[J].JOURNAL OF APPLIED GEOPHYSICS,2023,209:10.1016/j.jappgeo.2022.104910
[146]Wang Wenpeng,Tang Ming,Li Yanlei,Xu Wentao,Liu Longlingfeng,Liu Yanfu,Liu Jian,Yang Chundi,Wu Qiang,Ai Huili.The D-A-R approach: a method for determining ecological flow based on the component structure of ecological protection objects and dynamic hierarchical adjustment to the annual flow process[J].WATER POLICY,2023,25(3):276-295.10.2166/wp.2023.244
[147]Zhang Honghong,Mu Zhenwei,Fan Fan,Yao Li.Analysis of main influencing factors of energy dissipation and flow diversion effects of rough-strip energy dissipators in curved spillways based on Plackett-Burman design[J].WATER SUPPLY,2023,23(2):482-505.10.2166/ws.2023.006
[148]Guo Xiaojuan,Xiao Yilong,Zhao Lanzhi,Yang Tao,Tang Chun,Luo Wei,Huang Cheng,Zheng Fangwen.Spatio-Temporal Analysis and Health Risk Assessment of Heavy Metals in Water from the Fuhe River, South China[J].WATER,2023,15(4):10.3390/w15040641
[149]Wang Haidong,Cheng Minghui,Liao Zhenqi,Guo Jinjin,Zhang Fucang,Fan Junliang,Feng Hao,Yang Qiliang,Wu Lifeng,Wang Xiukang.Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes[J].AGRICULTURAL WATER MANAGEMENT,2023,276:10.1016/j.agwat.2022.108076
[150]Qin Xiangnan,Gu Hao,Yuan Dongyang,Guo Jinjun,Chen Xudong,Xu Bo,Wu Bangbin.An Evaluation Method of Crack Variation on Structural Performance of Concrete Dams with Fusion Entropy Based on Observation and Simulation[J].STRUCTURAL CONTROL & HEALTH MONITORING,2023,2023:10.1155/2023/4040761
| 序号 | 热点词 | 数量 |
| 1 | heavy metal | 31 |
| 2 | human activity | 20 |
| 3 | ganjiang river basin | 20 |
| 4 | poyang lake basin | 18 |
| 5 | oil contaminated soil | 18 |
| 6 | degrees c | 18 |
| 7 | water resource | 17 |
| 8 | northwest china | 16 |
| 9 | poyang lake | 15 |
| 10 | climate change | 15 |
| 11 | income gap | 15 |
| 12 | input combination | 14 |
| 13 | urban resident | 14 |
| 14 | jiangxi province | 13 |
| 15 | machine learning model | 13 |
| 16 | test result | 12 |
| 17 | significant difference | 12 |
| 18 | water quality | 12 |
| 19 | water footprint | 12 |
| 20 | numerical simulation | 11 |
| 21 | important role | 11 |
| 22 | south china | 11 |
| 23 | water ecological environment | 11 |
| 24 | spatial variability | 10 |
| 25 | random forest | 10 |
| 26 | relative contribution | 10 |
| 27 | fruit tree planting | 10 |
| 28 | super high arch dam | 9 |
| 29 | environmental pollution | 9 |
| 30 | great significance | 9 |
| 31 | extreme gradient | 9 |
| 32 | dry season | 9 |
| 33 | weather station | 9 |
| 34 | surface runoff | 9 |
| 35 | grain yield | 9 |
| 36 | irrigation level | 9 |
| 37 | humid region | 9 |
| 38 | meteorological datum | 9 |
| 39 | soil moisture content | 8 |
| 40 | leaf area index | 8 |
| 41 | yangtze river | 8 |
| 42 | mechanical property | 8 |
| 43 | ultimate strength | 8 |
| 44 | travel carbon emission | 8 |
| 45 | influencing factor | 8 |
| 46 | soil water content | 8 |
| 47 | pervious concrete | 8 |
| 48 | online channel | 8 |
| 49 | xgboost model | 8 |
| 50 | fruit yield | 8 |
| 序号 | 国家 | 主题词侧重 | 学科类别侧重 |
| 1 | 中国 | water resource(14)
climate change(12) heavy metal(11) poyang lake(11) important role(10) northwest china(10) numerical simulation(10) random forest(10) environmental pollution(9) extreme gradient(9) |
environmental sciences(180)
water resources(87) engineering, civil(77) geosciences, multidisciplinary(50) construction & building technology(42) engineering, environmental(41) green & sustainable science & technology(35) engineering, geological(31) environmental studies(27) agronomy(18) |
| 2 | 美国 | generalized method(3)
crop yield(2) degrees c(2) education level(2) great significance(2) leaf area index(2) northwest china(2) plant height(2) rapid development(2) water footprint(2) |
environmental sciences(10)
environmental studies(5) green & sustainable science & technology(4) water resources(3) economics(2) energy & fuels(2) engineering, environmental(2) agronomy(1) computer science, interdisciplinary applications(1) engineering, chemical(1) |
| 3 | 丹麦 | plant community(4)
environmental gradient(3) soil moisture(3) above ground biomass(2) cascading effect(2) climate change(2) community productivity(2) direct effect(2) functional approach(2) functional diversity(2) |
environmental sciences(11)
water resources(4) engineering, environmental(3) ecology(2) biodiversity conservation(1) limnology(1) marine & freshwater biology(1) public, environmental & occupational health(1) toxicology(1) |
| 4 | 加拿大 | large watershed(3)
relative contribution(3) annual mean flow(2) base flow(2) british columbia(2) climate change(2) climate variability(2) double mass curve(2) factor analysis(2) forest disturbance(2) |
environmental sciences(5)
water resources(5) geosciences, multidisciplinary(4) engineering, civil(3) ecology(2) biodiversity conservation(1) engineering, environmental(1) engineering, marine(1) engineering, ocean(1) environmental studies(1) |
| 5 | 马来西亚 | detached low crested breakwater(2)
above analysis(1) bibliometric analysis(1) breakwater structure(1) carbon dioxide conversion(1) carey island(1) catalyse photo driven process(1) cell centered finite volume method(1) citespace software(1) cluster analysis(1) |
environmental sciences(4)
engineering, environmental(2) agricultural engineering(1) engineering, chemical(1) food science & technology(1) public, environmental & occupational health(1) water resources(1) |
| 6 | 法国 | inclusion stiffness(2)
account microscopic heterogeneity(1) aquatic function(1) artificial clayey rock(1) associated driving factor(1) associated influencing factor(1) better understanding(1) brine water(1) cement matrix(1) characterisation result(1) |
engineering, geological(3)
engineering, civil(2) geosciences, multidisciplinary(2) computer science, interdisciplinary applications(1) water resources(1) |
| 7 | 日本 | degrees c(2)
research area(2) active layer thickness(1) aquatic ecological risk(1) areal extent(1) areal fraction(1) arid permafrost region(1) backwater area(1) biomarkers respons(1) c. cahayensis(1) |
environmental sciences(3)
geosciences, multidisciplinary(1) meteorology & atmospheric sciences(1) toxicology(1) |
| 8 | 德国 | accurate estimation(2)
estimation accuracy(2) high accuracy(2) highest accuracy(2) meteorological datum(2) random forest(2) actual vapor pressure(1) adjacent country(1) agricultural management(1) agricultural water management(1) |
water resources(3)
environmental sciences(2) geosciences, multidisciplinary(2) agronomy(1) engineering, civil(1) imaging science & photographic technology(1) remote sensing(1) |
| 9 | 土耳其 | plant community(3)
soil moisture(3) above ground biomass(2) cascading effect(2) direct effect(2) environmental gradient(2) functional diversity(2) generalized multilevel path model(2) human activity(2) key functional trait(2) |
environmental sciences(4)
ecology(2) engineering, environmental(2) water resources(2) limnology(1) marine & freshwater biology(1) |
| 10 | 澳大利亚 | slope failure(2)
2d high density electrical method(1) abnormal area(1) accumulation uplift(1) casing drilling method(1) catastrophic failure(1) computational efficiency(1) crown copyright(1) deep seated landslide(1) deposit landslide(1) |
geosciences, multidisciplinary(2)
computer science, interdisciplinary applications(1) construction & building technology(1) engineering, civil(1) engineering, geological(1) mining & mineral processing(1) |
| 11 | 西班牙 | data set(2)
hyperspectral image(2) 3d cnns(1) 3d octave convolution based approaches(1) abundance map(1) advanced method(1) advanced spectral unmixing method(1) better result(1) branch network(1) comprise discriminative information(1) |
geosciences, multidisciplinary(3)
remote sensing(3) environmental sciences(2) computer science, artificial intelligence(1) imaging science & photographic technology(1) optics(1) |
| 12 | 韩国 | agricultural production(1)
agriculture sustainable development(1) agro products quality concern(1) binary logistic regression model(1) bioenergy output(1) bioenergy potential(1) bioenergy technology selection(1) chemical input(1) climate change(1) climate induced crop yield change(1) |
environmental sciences(3)
economics(2) energy & fuels(2) environmental studies(2) engineering, environmental(1) green & sustainable science & technology(1) |
| 13 | 沙特阿拉伯 | above analysis(1)
above finding(1) bibliometric analysis(1) bibliometric analysis method(1) bibliometric visual analysis(1) carbon nanotube(1) circumferential direction(1) citespace software(1) classical kinematic constraint(1) cluster analysis(1) |
environmental sciences(2)
engineering, civil(1) |
| 14 | 伊朗 | carbon nanotube(1)
circumferential direction(1) classical kinematic constraint(1) compatibility condition(1) compatibility constraint(1) conical shell(1) couple stress theory(1) current approach(1) cylindrical shell(1) dimensionless geometric parameter(1) |
engineering, civil(2)
engineering, mechanical(1) instruments & instrumentation(1) |
| 15 | 英国 | acclimation capacity(1)
ambient o 3(1) breakwater structure(1) cell centered finite volume method(1) coastal dynamic(1) coastal management authority(1) coastal structure(1) cohesive coast(1) cohesive sediment(1) cohesive shore(1) |
environmental sciences(2)
biodiversity conservation(1) ecology(1) water resources(1) |
| 序号 | 机构 | 主题词侧重 | 学科类别侧重 |
| 1 | Nanchang Inst Technol | water resource(14)
climate change(12) heavy metal(11) poyang lake(11) important role(10) northwest china(10) numerical simulation(10) random forest(10) environmental pollution(9) extreme gradient(9) |
environmental sciences(180)
water resources(87) engineering, civil(77) geosciences, multidisciplinary(50) construction & building technology(42) engineering, environmental(41) green & sustainable science & technology(35) engineering, geological(31) environmental studies(27) agronomy(18) |
| 2 | Nanchang Univ | heavy metal(3)
spatial variability(3) wetting front(3) abundant element(2) axial compression(2) bioaccumulation factor(2) borehole layout scheme(2) carcinogenic risk(2) cd concentration(2) cd content(2) |
environmental sciences(20)
geosciences, multidisciplinary(9) engineering, civil(5) engineering, environmental(5) engineering, geological(5) water resources(5) construction & building technology(3) environmental studies(3) green & sustainable science & technology(3) public, environmental & occupational health(2) |
| 3 | Northwest A&F Univ | northwest china(9)
random forest(7) input combination(6) irrigation level(6) weather station(6) accurate estimation(5) crop evapotranspiration(5) extreme gradient(5) grain yield(5) irrigation amount(5) |
water resources(27)
agronomy(15) environmental sciences(9) geosciences, multidisciplinary(5) engineering, civil(4) engineering, environmental(4) green & sustainable science & technology(2) toxicology(2) ecology(1) engineering, chemical(1) |
| 4 | Chinese Acad Sci | grain yield(3)
indirect effect(3) irrigation level(3) above ground biomass(2) annual runoff(2) chemical fertilizer(2) climate change(2) community productivity(2) degrees c(2) dominant plant(2) |
environmental sciences(16)
water resources(8) biodiversity conservation(5) agronomy(4) ecology(3) engineering, environmental(3) geosciences, multidisciplinary(3) chemistry, physical(2) engineering, chemical(2) environmental studies(1) |
| 5 | China Inst Water Resources & Hydropower Res | random forest(5)
estimation accuracy(4) extreme gradient(4) meteorological datum(4) high accuracy(3) input combination(3) machine learning model(3) support vector machine(3) temperature datum(3) tree based model(3) |
water resources(11)
environmental sciences(6) engineering, civil(4) geosciences, multidisciplinary(3) agronomy(2) construction & building technology(2) engineering, chemical(2) environmental studies(2) green & sustainable science & technology(2) imaging science & photographic technology(1) |
| 6 | Hohai Univ | aquatic organism(2)
background value(2) jiangxi province(2) statistical method(2) superoxide dismutase(2) yangtze river(2) 1 m ps(1) 10 m polystyrene particles(1) 10 m ps(1) 48 h exposure(1) |
environmental sciences(9)
engineering, civil(4) engineering, environmental(2) engineering, geological(2) construction & building technology(1) engineering, chemical(1) engineering, marine(1) engineering, mechanical(1) engineering, ocean(1) geosciences, multidisciplinary(1) |
| 7 | Wuhan Univ | accurate estimation(4)
input combination(4) meteorological datum(4) random forest(4) daily meteorological datum(3) machine learning model(3) weather station(3) agricultural water management(2) best accuracy(2) categorical features support(2) |
water resources(8)
environmental sciences(7) geosciences, multidisciplinary(5) engineering, civil(3) agronomy(2) biodiversity conservation(2) energy & fuels(1) engineering, environmental(1) imaging science & photographic technology(1) remote sensing(1) |
| 8 | Univ Chinese Acad Sci | direct effect(3)
human activity(3) plant community(3) soil moisture(3) above ground biomass(2) cascading effect(2) engineering planning(2) environmental factor(2) environmental gradient(2) functional approach(2) |
environmental sciences(9)
water resources(3) biodiversity conservation(2) ecology(2) engineering, environmental(2) geosciences, multidisciplinary(2) limnology(1) marine & freshwater biology(1) meteorology & atmospheric sciences(1) soil science(1) |
| 9 | Aarhus Univ | plant community(4)
environmental gradient(3) soil moisture(3) above ground biomass(2) cascading effect(2) climate change(2) community productivity(2) direct effect(2) functional approach(2) functional diversity(2) |
environmental sciences(10)
water resources(4) engineering, environmental(3) ecology(2) biodiversity conservation(1) limnology(1) marine & freshwater biology(1) toxicology(1) |
| 10 | Hunan Agr Univ | environmental gradient(4)
functional diversity(4) plant community(4) above ground biomass(3) cascading effect(3) community productivity(3) plant species(3) soil moisture(3) climate change(2) community weighted mean(2) |
environmental sciences(10)
water resources(5) ecology(4) engineering, environmental(3) biodiversity conservation(1) limnology(1) marine & freshwater biology(1) |
| 11 | East China Jiao Tong Univ | electron microscopy(4)
fourier transform(4) adsorbent dosage(3) sample magnetometer(3) x ray photoelectron spectroscopy(3) brunauer emmett teller analysis(2) excellent stability(2) external magnetic field(2) quenching experiment(2) sulfate radical(2) |
environmental sciences(4)
engineering, chemical(3) water resources(2) chemistry, analytical(1) construction & building technology(1) engineering, civil(1) engineering, environmental(1) |
| 12 | Anhui Normal Univ | contaminated soil(3)
microbial activity(3) oil contaminated soil(3) oil degradation(3) oil pollution(3) 168 day incubation experiment(2) aquatic organism(2) bacterial feeding nematode(2) bacterivorous nematode(2) biochar addition(2) |
environmental sciences(8)
toxicology(3) ecology(1) meteorology & atmospheric sciences(1) water resources(1) |
| 13 | Jiangxi Inst Water Sci | community productivity(3)
environmental gradient(3) functional diversity(3) above ground biomass(2) cascading effect(2) functional identity(2) high altitude(2) indirect effect(2) leaf dry mass content(2) macrophyte community(2) |
environmental sciences(6)
ecology(3) water resources(3) biodiversity conservation(1) engineering, chemical(1) engineering, environmental(1) limnology(1) marine & freshwater biology(1) |
| 14 | Lanzhou Univ | grain yield(4)
irrigation level(4) fertilization rate(3) northwest china(3) water stress(3) chemical fertilizer(2) chicken manure(2) crop evapotranspiration(2) drip fertigated winter wheat(2) dry matter(2) |
agronomy(6)
water resources(6) environmental sciences(1) meteorology & atmospheric sciences(1) |
| 15 | Lanzhou Univ Technol | grain yield(4)
irrigation level(4) fertilization rate(3) northwest china(3) water stress(3) chemical fertilizer(2) chicken manure(2) crop evapotranspiration(2) drip fertigated winter wheat(2) dry matter(2) |
water resources(7)
agronomy(6) environmental sciences(1) |
| 16 | Xian Univ Technol | northern china(2)
water use efficiency(2) 21st century(1) 5 year old apple trees(1) accurate grasp(1) agronomic nitrogen use efficiency(1) apple quality(1) apple tree(1) apple yield(1) apples sweeter(1) |
water resources(5)
agronomy(3) environmental sciences(1) |
| 17 | Jiangxi Agr Univ | forest ecosystem(3)
cinnamomum camphora(2) control treatment(2) ghg emission(2) key role(2) n deposition(2) sizeable proportion(2) 4.55 fold greater hfa effect(1) agricultural ghg production(1) agricultural soil(1) |
environmental sciences(6)
biodiversity conservation(2) engineering, environmental(1) public, environmental & occupational health(1) |
| 18 | Jiangxi Univ Finance & Econ | water quality(3)
contingent valuation method(2) ecological environment(2) educational background(2) ganjiang river basin(2) important policy implication(2) influencing factor(2) residential location(2) watershed environment(2) academic circle(1) |
environmental sciences(6)
environmental studies(5) green & sustainable science & technology(5) economics(1) energy & fuels(1) engineering, environmental(1) |
| 19 | Univ Elect Sci & Technol China | large watershed(3)
annual mean flow(2) british columbia(2) climate change(2) double mass curve(2) factor analysis(2) forest disturbance(2) relative contribution(2) vegetation change(2) watershed management(2) |
water resources(4)
environmental sciences(3) geosciences, multidisciplinary(3) ecology(2) biodiversity conservation(1) engineering, civil(1) environmental studies(1) green & sustainable science & technology(1) |
| 20 | Beijing Jiaotong Univ | numerical experiment(3)
concrete structure(2) durability damage(2) sulfate attack(2) accessibility measure(1) accessible demand pair(1) accessible flow(1) actual engineering environment(1) calculation method(1) compressive stress level(1) |
engineering, civil(5)
transportation science & technology(3) economics(2) operations research & management science(2) transportation(2) construction & building technology(1) engineering, electrical & electronic(1) materials science, multidisciplinary(1) |
| 21 | Chongqing Univ | plug in hybrid electric vehicle(2)
adaptive simplified ecms based strategy(1) apparent preconsolidation stress(1) calculation load(1) calculation method(1) calculation time(1) cd cs based strategy(1) change law(1) change process(1) clay cap rock(1) |
environmental sciences(2)
environmental studies(2) geosciences, multidisciplinary(2) green & sustainable science & technology(2) engineering, chemical(1) engineering, environmental(1) engineering, geological(1) |
| 22 | Jiangxi Normal Univ | adsorption mechanism(1)
agricultural activity(1) aquatic life(1) blood glucose(1) blood pressure(1) blood pressure gauge(1) blood sugar(1) body test box(1) calculated hpi(1) chinese standard(1) |
environmental sciences(3)
engineering, environmental(2) energy & fuels(1) engineering, civil(1) engineering, electrical & electronic(1) green & sustainable science & technology(1) oceanography(1) water resources(1) |
| 23 | Jiangxi Sci & Technol Normal Univ | wetting front(3)
erosion amount(2) granite residual soil(2) pore clogging(2) soil column(2) 2d lbp features(1) account inflow velocity(1) advance rate(1) artificial rainfall(1) artificial rainfall simulator(1) |
geosciences, multidisciplinary(4)
engineering, chemical(1) engineering, environmental(1) engineering, geological(1) environmental sciences(1) geography, physical(1) imaging science & photographic technology(1) remote sensing(1) water resources(1) |
| 24 | China Univ Geosci | hyperspectral image(2)
octave convolution(2) receptive field(2) traditional cnn(2) traditional convolutional neural network(2) 2d octave convolution(1) 3d cnns(1) 3d densenet sub networks(1) 3d octave convolution(1) 3d octave convolution based approaches(1) |
geosciences, multidisciplinary(3)
environmental sciences(2) remote sensing(2) construction & building technology(1) engineering, civil(1) imaging science & photographic technology(1) |
| 25 | Southwest Univ Sci & Technol | input combination(3)
random forest(3) weather station(3) accurate estimation(2) categorical features support(2) daily eto(2) daily meteorological datum(2) irrigation scheduling(2) model tree(2) relative humidity(2) |
geosciences, multidisciplinary(3)
water resources(3) engineering, civil(2) agronomy(1) engineering, environmental(1) environmental sciences(1) green & sustainable science & technology(1) |
| 26 | Middle East Tech Univ | plant community(3)
soil moisture(3) above ground biomass(2) cascading effect(2) climate change(2) direct effect(2) environmental gradient(2) functional diversity(2) generalized multilevel path model(2) global climate change(2) |
environmental sciences(5)
engineering, environmental(3) water resources(3) ecology(2) limnology(1) marine & freshwater biology(1) |
| 27 | Western Michigan Univ | generalized method(3)
education level(2) great significance(2) water footprint(2) agricultural gray water footprint(1) agricultural virtual water footprint(1) agricultural water footprint(1) central china(1) central china city(1) comprehensive score(1) |
environmental sciences(4)
environmental studies(3) green & sustainable science & technology(3) public, environmental & occupational health(1) |
| 28 | Zhejiang Univ | average hourly energy efficiency(2)
comparative analysis(2) fourfold slope(2) operational performance(2) actual water control project(1) bottom shaft(1) cfx turbulence default model(1) cheap investment(1) climate condition(1) cloud image(1) |
environmental sciences(3)
water resources(3) engineering, environmental(2) engineering, chemical(1) |
| 29 | East China Jiaotong Univ | aqueous solution(2)
solution ph(2) aap degradation(1) active species(1) actual denoting(1) acute toxicity(1) adsorbent dosage(1) adsorption mechanism(1) ag/agcl electrode(1) appropriate order(1) |
environmental sciences(3)
engineering, civil(1) meteorology & atmospheric sciences(1) transportation science & technology(1) water resources(1) |
| 30 | Sun Yat Sen Univ | data set(2)
abundance map(1) advanced method(1) advanced spectral unmixing method(1) air temperature(1) arps decline model(1) average statistical result(1) best improvement(1) better result(1) challenging goal(1) |
geosciences, multidisciplinary(2)
remote sensing(2) water resources(2) agronomy(1) computer science, artificial intelligence(1) environmental sciences(1) optics(1) |
| 序号 | 作者 | 主题词侧重 | 学科类别侧重 |
| 1 | Wu, Lifeng | northwest china(10)
random forest(9) extreme gradient(8) input combination(8) weather station(8) accurate estimation(7) meteorological datum(7) grain yield(6) irrigation level(6) machine learning model(6) |
water resources(27)
agronomy(15) environmental sciences(8) geosciences, multidisciplinary(8) engineering, civil(7) green & sustainable science & technology(4) engineering, environmental(2) environmental studies(2) engineering, chemical(1) imaging science & photographic technology(1) |
| 2 | Fan, Junliang | northwest china(9)
random forest(7) input combination(6) irrigation level(6) weather station(6) accurate estimation(5) crop evapotranspiration(5) extreme gradient(5) grain yield(5) prediction accuracy(5) |
water resources(19)
agronomy(14) geosciences, multidisciplinary(5) engineering, civil(4) environmental sciences(3) engineering, environmental(2) green & sustainable science & technology(2) imaging science & photographic technology(1) remote sensing(1) |
| 3 | Zhang, Fucang | northwest china(9)
irrigation level(6) crop evapotranspiration(5) grain yield(5) accurate estimation(4) extreme gradient(4) input combination(4) irrigation amount(4) prediction accuracy(4) random forest(4) |
water resources(17)
agronomy(13) engineering, civil(3) environmental sciences(3) geosciences, multidisciplinary(3) engineering, environmental(2) green & sustainable science & technology(2) |
| 4 | Li, Wei | environmental gradient(4)
functional diversity(4) plant community(4) above ground biomass(3) aquatic ecosystem(3) cascading effect(3) community productivity(3) plant species(3) soil moisture(3) submerged macrophyte(3) |
environmental sciences(14)
water resources(6) ecology(4) engineering, environmental(4) limnology(3) marine & freshwater biology(3) toxicology(2) biodiversity conservation(1) engineering, chemical(1) |
| 5 | Liu, Zhanmeng | electron microscopy(5)
fourier transform(5) adsorbent dosage(4) x ray photoelectron spectroscopy(4) aqueous solution(3) sample magnetometer(3) x ray diffraction(3) brunauer emmett teller analysis(2) excellent stability(2) external magnetic field(2) |
environmental sciences(8)
engineering, chemical(3) water resources(3) chemistry, analytical(1) engineering, environmental(1) meteorology & atmospheric sciences(1) |
| 6 | Fu, Hui | environmental gradient(4)
functional diversity(4) plant community(4) above ground biomass(3) cascading effect(3) community productivity(3) plant species(3) soil moisture(3) climate change(2) community weighted mean(2) |
environmental sciences(10)
water resources(5) ecology(4) engineering, environmental(3) biodiversity conservation(1) limnology(1) marine & freshwater biology(1) |
| 7 | Zhang, Shaoquan | hyperspectral image(4)
spatial information(4) hyperspectral unmixing(3) sparse unmixing(3) spatial correlation(3) abundance map(2) better result(2) data set(2) mixed pixel(2) octave convolution(2) |
geosciences, multidisciplinary(9)
remote sensing(9) environmental sciences(3) computer science, artificial intelligence(2) optics(2) imaging science & photographic technology(1) |
| 8 | Zheng, Jing | northwest china(6)
grain yield(4) fertilization rate(3) irrigation level(3) aboveground biomass(2) crop growth(2) crop water use(2) crop yield(2) direct measurement(2) drip fertigated winter wheat(2) |
water resources(8)
agronomy(7) engineering, civil(1) engineering, environmental(1) environmental sciences(1) geosciences, multidisciplinary(1) green & sustainable science & technology(1) |
| 9 | Yan, Shicheng | grain yield(5)
irrigation level(5) northwest china(5) aboveground biomass(3) crop evapotranspiration(3) fertilization rate(3) fertilization regime(3) water stress(3) chemical fertilizer(2) chicken manure(2) |
agronomy(8)
water resources(8) engineering, environmental(1) environmental sciences(1) green & sustainable science & technology(1) |
| 10 | Yuan, Guixiang | environmental gradient(4)
functional diversity(4) plant community(4) above ground biomass(3) cascading effect(3) community productivity(3) plant species(3) soil moisture(3) climate change(2) community weighted mean(2) |
environmental sciences(9)
water resources(5) ecology(4) engineering, environmental(3) biodiversity conservation(1) limnology(1) marine & freshwater biology(1) |
| 11 | Wang, Xianglian | abundant element(2)
carcinogenic risk(2) cd concentration(2) cd content(2) health risk(2) human body(2) mg l 1(2) total noncarcinogenic risk(2) aap degradation(1) above ground entrance(1) |
environmental sciences(6)
toxicology(2) construction & building technology(1) engineering, chemical(1) engineering, civil(1) engineering, environmental(1) meteorology & atmospheric sciences(1) water resources(1) |
| 12 | Wu, Daishe | heavy metal(3)
abundant element(2) carcinogenic risk(2) cd concentration(2) cd content(2) chemical oxygen demand(2) five day biochemical oxygen demand(2) health risk(2) human activity(2) human body(2) |
environmental sciences(7)
toxicology(2) water resources(2) construction & building technology(1) engineering, civil(1) engineering, environmental(1) meteorology & atmospheric sciences(1) |
| 13 | Ji, Yong | superoxide dismutase(3)
glutathione s transferase(2) heavy metal(2) potential relationship(2) sampling site(2) 1 m ps(1) 10 m polystyrene particles(1) 10 m ps(1) 48 h exposure(1) 48 h median effective concentration(1) |
environmental sciences(7)
engineering, environmental(2) toxicology(2) engineering, chemical(1) green & sustainable science & technology(1) water resources(1) |
| 14 | Fan, Houbao | bacterial feeding nematode(2)
cinnamomum camphora(2) contaminated soil(2) microbial activity(2) net photosynthetic rate(2) oil contaminated soil(2) oil degradation(2) oil pollution(2) past decade(2) soluble sugar(2) |
environmental sciences(7)
toxicology(2) water resources(2) biodiversity conservation(1) ecology(1) engineering, civil(1) geosciences, multidisciplinary(1) meteorology & atmospheric sciences(1) |
| 15 | Wu, You | grain yield(4)
irrigation level(4) northwest china(4) fertilization rate(3) water stress(3) aboveground biomass(2) chemical fertilizer(2) chicken manure(2) crop evapotranspiration(2) crop growth(2) |
agronomy(7)
water resources(7) engineering, environmental(1) environmental sciences(1) green & sustainable science & technology(1) |
| 16 | Deng, Chengzhi | spatial information(4)
hyperspectral unmixing(3) sparse unmixing(3) spatial correlation(3) abundance map(2) better result(2) data set(2) hyperspectral image(2) mixed pixel(2) semi supervised method(2) |
geosciences, multidisciplinary(7)
remote sensing(7) computer science, artificial intelligence(2) environmental sciences(2) optics(2) |
| 17 | Fu, Mingfu | wetting front(3)
erosion amount(2) granite residual soil(2) limit support pressure(2) pore clogging(2) soil column(2) tunnel face(2) account inflow velocity(1) adjacent structure(1) advance rate(1) |
geosciences, multidisciplinary(4)
engineering, civil(2) construction & building technology(1) engineering, chemical(1) engineering, environmental(1) engineering, geological(1) geography, physical(1) optics(1) transportation science & technology(1) water resources(1) |
| 18 | Zhang, Jie | potential relationship(2)
sampling site(2) superoxide dismutase(2) total nitrogen(2) abiotic stress(1) above result(1) acidic ultisol(1) additional iaa(1) allium sativum l(1) ammonia nitrogen(1) |
environmental sciences(7)
toxicology(3) biotechnology & applied microbiology(1) engineering, environmental(1) soil science(1) water resources(1) |
| 19 | Zhou, Jihai | contaminated soil(3)
microbial activity(3) oil contaminated soil(3) oil degradation(3) oil pollution(3) 168 day incubation experiment(2) bacterial feeding nematode(2) bacterivorous nematode(2) caenorhabditis elegan(2) cinnamomum camphora(2) |
environmental sciences(7)
toxicology(3) meteorology & atmospheric sciences(1) water resources(1) |
| 20 | Liu, Wenfei | large watershed(3)
relative contribution(3) annual mean flow(2) base flow(2) british columbia(2) climate change(2) climate variability(2) double mass curve(2) factor analysis(2) forest disturbance(2) |
water resources(5)
geosciences, multidisciplinary(4) environmental sciences(3) ecology(2) engineering, civil(2) biodiversity conservation(1) toxicology(1) |
| 21 | Huang, Guomin | input combination(3)
random forest(3) bacterivorous nematode(2) caenorhabditis elegan(2) community structure(2) contaminated soil(2) daily et0(2) gram negative bacterium(2) humid region(2) input parameter(2) |
environmental sciences(5)
toxicology(3) water resources(3) agronomy(1) engineering, civil(1) geosciences, multidisciplinary(1) |
| 22 | Guo, Jinjin | northwest china(5)
grain yield(4) irrigation level(4) crop growth(3) fertilization rate(3) total dry matter(3) aboveground biomass(2) crop evapotranspiration(2) drip fertigated winter wheat(2) drought prone region(2) |
agronomy(6)
water resources(6) engineering, environmental(1) environmental sciences(1) green & sustainable science & technology(1) |
| 23 | Jeppesen, Erik | plant community(4)
environmental gradient(3) soil moisture(3) above ground biomass(2) cascading effect(2) climate change(2) community productivity(2) direct effect(2) functional approach(2) functional diversity(2) |
environmental sciences(7)
engineering, environmental(3) water resources(3) ecology(2) biodiversity conservation(1) limnology(1) marine & freshwater biology(1) |
| 24 | Gui, Faliang | 3d laser scanning(1)
absolute percentage error(1) accumulation dam(1) aforementioned high frequency component(1) ancient landslide reactivation(1) associated reservoir(1) blood glucose(1) blood pressure(1) blood pressure gauge(1) blood sugar(1) |
engineering, civil(3)
construction & building technology(2) environmental sciences(2) green & sustainable science & technology(2) water resources(2) engineering, electrical & electronic(1) engineering, environmental(1) environmental studies(1) materials science, multidisciplinary(1) |
| 25 | Wang, Shengqian | spatial information(4)
spatial correlation(3) abundance map(2) better result(2) data set(2) hyperspectral image(2) hyperspectral unmixing(2) simulated hyperspectral datum(2) sparse unmixing(2) spatial weighting factor(2) |
geosciences, multidisciplinary(6)
remote sensing(6) computer science, artificial intelligence(1) environmental sciences(1) optics(1) |
| 26 | Yao, Xingyou | good agreement(4)
axial compression(3) buckling mode(3) cold formed steel(3) distortional buckling(3) test result(3) abaqus software(2) buckling behavior(2) circular hole(2) cross section(2) |
engineering, civil(6)
construction & building technology(5) engineering, geological(1) environmental sciences(1) |
| 27 | Guo, Yanli | axial compression(4)
buckling mode(3) finite element analysis(3) good agreement(3) hole size(3) abaqus software(2) buckling behavior(2) calculation formula(2) cold formed steel(2) distortional buckling(2) |
engineering, civil(6)
construction & building technology(5) engineering, geological(2) environmental sciences(1) |
| 28 | Tang, Ming | drought risk(2)
drought risk value(2) main conclusion(2) “assessment index(1) “general type(1) above method(1) actual droughtsituation(1) ammonia nitrogen(1) annual ecological flow process(1) assessment object(1) |
water resources(4)
environmental sciences(3) biodiversity conservation(2) engineering, environmental(1) |
| 29 | Jiang, Hui | grass planting concrete(2)
important parameter(2) poyang lake(2) 13 year time series(1) 3d laser scanning(1) accumulation dam(1) advanced spatial resolution(1) affects water exchange(1) ancient landslide reactivation(1) anthropogenic factor(1) |
environmental sciences(4)
construction & building technology(2) engineering, civil(2) water resources(2) engineering, geological(1) geosciences, multidisciplinary(1) remote sensing(1) |
| 30 | Liu, Weiping | wetting front(3)
erosion amount(2) granite residual soil(2) limit support pressure(2) pore clogging(2) soil column(2) tunnel face(2) account inflow velocity(1) adjacent structure(1) advance rate(1) |
geosciences, multidisciplinary(4)
construction & building technology(1) engineering, chemical(1) engineering, civil(1) engineering, environmental(1) engineering, geological(1) geography, physical(1) water resources(1) |