Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression
文献类型：期刊论文
| 作者 | Feng, Zhaohui; Xu, Chengjian1,2,6; Zuo, Yiping3; Luo, Xi1,4; Wang, Lingqing2; Chen, Hao1,5; Xie, Xiaojing1,6; Yan, Dan1,6; Liang, Tao2 |
| 刊名 | ENVIRONMENTAL RESEARCH
 |
| 出版日期 | 2023 |
| 卷号 | 216页码:12 |
| ISSN号 | 0013-9351 |
| 关键词 | Water quality indexes Normalized difference vegetation index Self-organizing map Geographically and temporally weighted regression |
| DOI | 10.1016/j.envres.2022.114587 |
| 通讯作者 | Wang, Lingqing(wanglq@igsnrr.ac.cn) |
| 英文摘要 | Natural vegetation has been proved to promote water purification in previous studies, while the relevant laws has not been excavated systematically. This research explored the relationships between vegetation cover and water quality indexes in Liaohe River Basin in China combined with self-organizing map (SOM) and geographically and temporally weighted regression (GTWR) innovatively and systematically based on the distributing heterogeneity of water quality conditions. Results showed that the central and northeast regions of the study area had serious organic and nutrient pollution, which needed targeted treatment. And SOM verified that high vegetation coverage with retention potential of organic and inorganic pollutants as well as nutrients improved water quality to some degree, while the excessive discharges of pollutants still had serious threats to nearby water environment despite the purification function of vegetation. GTWR indicated that the waterside vegetation was beneficial for dissolved oxygen increasing and contributed to the decreasing of organic pollutants and inorganic pollutants with reducibility. Natural vegetation also obsorbed nutrients like TN and TP to some degree. However, the retential potential of nitrogen and organic pollutants became not obvious when there were heavy pollution, which demonstrated that pollution sources should be controlled despite the purification func-tion of vegetation. This study implied that natural vegetation purified water quality to some degree, while this function could not be revealed when there was too heavy pollution. These findings underscore that the pollutant discharge should be controlled though the natural vegetation in ecosystem promoted the purification of water bodies. |
| WOS关键词 | SPATIOTEMPORAL VARIATION ; CLIMATE-CHANGE ; RIVER-BASIN ; NITROGEN ; PHOSPHORUS ; POLLUTION ; SEDIMENTS ; OXYGEN ; CONTAMINATION ; PURIFICATION |
| 资助项目 | Key Research and Development Program of Hubei Province[2020BCA073] ; Independent Innovation Research Program of Changjiang Survey, Planning, Design and Research Co., Ltd.[CX2019Z05] ; Jiangxi Province Key Research and Development Project[20212BBG73017] |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| WOS记录号 | WOS:000883794600001 |
| 资助机构 | Key Research and Development Program of Hubei Province ; Independent Innovation Research Program of Changjiang Survey, Planning, Design and Research Co., Ltd. ; Jiangxi Province Key Research and Development Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187107]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Lingqing |
| 作者单位 | 1.Changjiang Inst Survey Planning Design & Res Co Lt, Wuhan 430010, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Foreign Environm Cooperat Ctr, Comprehensive Water Environm Treatment Yangtze Riv, Beijing 100035, Peoples R China 4.Hubei Key Lab Basin Water Secur, Wuhan 430010, Peoples R China 5.Key Lab Changjiang Regulat & Protec Minist Water R, Beijing 100053, Peoples R China 6.Hubei Prov Engn Res Ctr Comprehens Water Environm, Wuhan 430010, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Zhaohui,Xu, Chengjian,Zuo, Yiping,et al. Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression[J]. ENVIRONMENTAL RESEARCH,2023,216:12. |
| APA | Feng, Zhaohui.,Xu, Chengjian.,Zuo, Yiping.,Luo, Xi.,Wang, Lingqing.,...&Liang, Tao.(2023).Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression.ENVIRONMENTAL RESEARCH,216,12. |
| MLA | Feng, Zhaohui,et al."Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression".ENVIRONMENTAL RESEARCH 216(2023):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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