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Assessing and optimizing the hydrological performance of Grey-Green infrastructure systems in response to climate change and non-stationary time series.
Wang, Mo; Liu, Ming; Zhang, Dongqing; Qi, Jinda; Fu, Weicong; Zhang, Yu; Rao, Qiuyi; Bakhshipour, Amin E; Tan, Soon Keat.
Afiliação
  • Wang M; College of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China; Architectural Design and Research Institute of Guangzhou University, Guangzhou 510499, China.
  • Liu M; College of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China.
  • Zhang D; Guangdong Provincial Key Laboratory of Petrochemical Pollution Processes and Control, School of Environmental Science and Engineering, Guangdong University of Petrochemical Technology, Maoming, Guangdong 525000, China.
  • Qi J; Department of Architecture, National University of Singapore, 117575, Singapore. Electronic address: jindaqi@nus.edu.sg.
  • Fu W; College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
  • Zhang Y; College of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China.
  • Rao Q; College of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China; Architectural Design and Research Institute of Guangzhou University, Guangzhou 510499, China.
  • Bakhshipour AE; Civil Engineering, Institute of Urban Water Management, University of Kaiserslautern, Kaiserslautern 67663, Germany.
  • Tan SK; School of Civil and Environmental Engineering, Nanyang Technological University, 639798, Singapore.
Water Res ; 232: 119720, 2023 Apr 01.
Article em En | MEDLINE | ID: mdl-36774753
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Chuva / Mudança Climática Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Water Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Chuva / Mudança Climática Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Water Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido