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Integrating spatial-temporal features into prediction tasks: A novel method for identifying the potential water pollution area in large river basins.

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第一作者： Yuqing,Tian

第一单位： School of Environment, Tsinghua University, Beijing, 100084, PR China. Electronic address: tyq21@mails.tsinghua.edu.cn.

作者： Yuqing,Tian ^[1] ; Yanhui,Zhao ^[2] ; Zhiqiang,Yin ^[3] ; Ning,Deng ^[4] ; Sen,Li ^[5] ; Hailong,Zhao ^[6] ; Bo,Huang ^[7]

作者单位： School of Environment, Tsinghua University, Beijing, 100084, PR China. Electronic address: tyq21@mails.tsinghua.edu.cn. ^[1] Changjiang Basin Ecology and Environment Monitoring and Scientific Research Center, Changjiang Basin Ecology and Environment Administration, Ministry of Ecology and Environment, Wuhan 430010, PR China. Electronic address: zhaoyanhui@cjjg.mee.gov.cn. ^[2] Department of Power Engineering, North China Electric Power University, Baoding, 071003, PR China. Electronic address: yzq2002@ncepu.edu.cn. ^[3] School of Environment, Tsinghua University, Beijing, 100084, PR China. Electronic address: dengn22@mails.tsinghua.edu.cn. ^[4] School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, PR China. Electronic address: senli@hust.edu.cn. ^[5] School of Environment, Tsinghua University, Beijing, 100084, PR China. Electronic address: hbhzzhl@163.com. ^[6] Changjiang Basin Ecology and Environment Monitoring and Scientific Research Center, Changjiang Basin Ecology and Environment Administration, Ministry of Ecology and Environment, Wuhan 430010, PR China. Electronic address: hbben1989@163.com. ^[7]

关键词 Potential water pollution area Prediction tasks Spatial-temporal graph convolution networks Water quality Yangtze river basin

主题词江河(Rivers);环境监测(Environmental Monitoring);水污染(Water Pollution);水污染物, 化学性(Water Pollutants, Chemical);季节(Seasons);中国(China)

DOI 10.1016/j.jenvman.2024.123522

PMID 39632310

发布时间 2025-04-27

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准确一般字义偏差语意偏离译文作用小提交