Predicting future river health in a minimally influenced mountainous area under climate change.

Zhao, C S; Yang, Y; Yang, S T; Xiang, H; Zhang, Y; Wang, Z Y; Chen, X; Mitrovic, S M

Zhao, C S; Yang, Y; Yang, S T; Xiang, H; Zhang, Y; Wang, Z Y; Chen, X; Mitrovic, S M.

Afiliación

Zhao CS; College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing 100875, PR China; School of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, PR China; ICube, UdS, CNRS (UMR 7357), 300 B
Yang Y; College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing 100875, PR China.
Yang ST; College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing 100875, PR China; School of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, PR China. Electronic address: yangshengtian@
Xiang H; Jinan Survey Bureau of Hydrology and Water Resources, Jinan 250013, PR China.
Zhang Y; School of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, PR China.
Wang ZY; Jinan Survey Bureau of Hydrology and Water Resources, Jinan 250013, PR China.
Chen X; Jinan Survey Bureau of Hydrology and Water Resources, Jinan 250013, PR China.
Mitrovic SM; School of Life Sciences, Faculty of Science, University of Technology, Sydney, NSW 2007, Australia.

Sci Total Environ ; 656: 1373-1385, 2019 Mar 15.

Article en En | MEDLINE | ID: mdl-30625666

Palabras clave

Biological variation; Hydrological simulation; IPCC; River health prediction; Water quality modelling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Año: 2019 Tipo del documento: Article Pais de publicación: Países Bajos

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