A method for detecting the non-stationarity during high flows under global change.

Zhang, Zhenyu; Huang, Jinliang; Wagner, Paul D; Fohrer, Nicola

Zhang, Zhenyu; Huang, Jinliang; Wagner, Paul D; Fohrer, Nicola.

Afiliação

Zhang Z; Fujian Key Laboratory of Coastal Pollution Prevention and Control, Xiamen University, 361102 Xiamen, China; Department of Hydrology and Water Resources Management, Kiel University, 24118 Kiel, Germany.
Huang J; Fujian Key Laboratory of Coastal Pollution Prevention and Control, Xiamen University, 361102 Xiamen, China. Electronic address: jlhuang@xmu.edu.cn.
Wagner PD; Department of Hydrology and Water Resources Management, Kiel University, 24118 Kiel, Germany.
Fohrer N; Department of Hydrology and Water Resources Management, Kiel University, 24118 Kiel, Germany.

Sci Total Environ ; 851(Pt 2): 158341, 2022 Dec 10.

Article em En | MEDLINE | ID: mdl-36037886

Assuntos

Modelos Teóricos; Rios; Mudança Climática; Atividades Humanas; Hidrologia

Palavras-chave

Climate change; Generalized extreme value; Non-stationarity; Rainfall-runoff model; Streamflow

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Rios / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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