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Decoding river pollution trends and their landscape determinants in an ecologically fragile karst basin using a machine learning model.
Xu, Guoyu; Fan, Hongxiang; Oliver, David M; Dai, Yibin; Li, Hengpeng; Shi, Yuejie; Long, Haifei; Xiong, Kangning; Zhao, Zhongming.
Afiliación
  • Xu G; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Fan H; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Oliver DM; Biological & Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK.
  • Dai Y; Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China.
  • Li H; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China. Electronic address: hpli@niglas.ac.cn.
  • Shi Y; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Long H; Guizhou Provincial Bureau of Hydrological Resources, Guiyang, 550002, China.
  • Xiong K; School of Karst Science / State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang, 550001, China.
  • Zhao Z; Department of Geography, King's College London, London, WC2R 2LS, UK.
Environ Res ; 214(Pt 4): 113843, 2022 11.
Article en En | MEDLINE | ID: mdl-35931190
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Ríos Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Ríos Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2022 Tipo del documento: Article País de afiliación: China