Provides unique synthesis of various modeling methodologies used to aid planning and operational decision making, for academic researchers and professionals.
Provides unique synthesis of various modeling methodologies used to aid planning and operational decision making, for academic researchers and professionals.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
P. P. Mujumdar is a Professor in the Department of Civil Engineering at the Indian Institute of Science (IISc), Bangalore, India, and holds an Associate Faculty position in the Divecha Center for Climate Change at IISc, Bangalore. He is also Chairman of the Water Resources Management Committee of the International Association for Hydro-Environment Research (IAHR). Professor Mujumdar's area of specialization is water resources with a focus on climate change impacts that includes downscaling and uncertainty modeling. He also works as a professional consultant across areas including floodplain management, reservoir operation, urban storm water drainage, lift irrigation and hydropower development. He is a Distinguished Visiting Fellow of the Royal Academy of Engineering, UK, and is currently a member of the Editorial Board of the journal Advances in Water Resources.
Inhaltsangabe
Part I. Introduction: 1. Introduction Part II. Modeling for Climate Change Impact Assessment: 2. Hydrologic modeling for floods 3. Climate change impact assessment Part III. Remote Sensing, GIS and DEM for Modeling of Floods: 4. Remote sensing (RS) for hydrologic modeling 5. Geographic information system (GIS) for hydrologic modeling Part IV. Case Studies and Future Perspectives: 6. Case studies and future perspectives References Index.
Part I. Introduction: 1. Introduction Part II. Modeling for Climate Change Impact Assessment: 2. Hydrologic modeling for floods 3. Climate change impact assessment Part III. Remote Sensing, GIS and DEM for Modeling of Floods: 4. Remote sensing (RS) for hydrologic modeling 5. Geographic information system (GIS) for hydrologic modeling Part IV. Case Studies and Future Perspectives: 6. Case studies and future perspectives References Index.
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