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Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi-Basin Modeling and Remote Sensing Imagery.
Du, Tien L T; Lee, Hyongki; Bui, Duong D; Graham, L Phil; Darby, Stephen D; Pechlivanidis, Ilias G; Leyland, Julian; Biswas, Nishan K; Choi, Gyewoon; Batelaan, Okke; Bui, Thao T P; Do, Son K; Tran, Tinh V; Nguyen, Hoa Thi; Hwang, Euiho.
Afiliación
  • Du TLT; Department of Civil and Environmental Engineering University of Houston Houston TX USA.
  • Lee H; Danang Institute for Socio-Economic Development Da Nang Vietnam.
  • Bui DD; Department of Civil and Environmental Engineering University of Houston Houston TX USA.
  • Graham LP; National Center for Water Resources Planning and Investigation Ministry of Natural Resources and Environment Hanoi Vietnam.
  • Darby SD; Swedish Meteorological and Hydrological Institute Norrköping Sweden.
  • Pechlivanidis IG; School of Geography and Environmental Science University of Southampton Southampton UK.
  • Leyland J; Swedish Meteorological and Hydrological Institute Norrköping Sweden.
  • Biswas NK; School of Geography and Environmental Science University of Southampton Southampton UK.
  • Choi G; Hydrological Sciences Laboratory NASA Goodard Space Flight Center Greenbelt MD USA.
  • Batelaan O; International Center for Urban Water Hydroinformatics Research & Innovation Incheon Republic of Korea.
  • Bui TTP; Flinders University Adelaide SA Australia.
  • Do SK; Department of Civil and Environmental Engineering Tokyo Metropolitan University Tokyo Japan.
  • Tran TV; Department of Civil and Environmental Engineering University of Houston Houston TX USA.
  • Nguyen HT; Department of Water Resources Hanoi University of Natural Resource and Environment Hanoi Vietnam.
  • Hwang E; Faculty of Environment Hanoi University of Mining and Geology Hanoi Vietnam.
Water Resour Res ; 58(3): e2021WR031191, 2022 Mar.
Article en En | MEDLINE | ID: mdl-35866043
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Water Resour Res Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Water Resour Res Año: 2022 Tipo del documento: Article