Adaptive Catchment Management and Reservoir Operation

• Autore: Ni Guangheng
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 electronic resource (498 p.)
• Soggetto non controllato: downscaling; suspended sediment concentration; modeling; South-to-North Water Transfer Project; sensitivity analysis; simulation; protection zone; reservoirs; mussel; sediment regime; resilience and robustness; optimal flood control operation; multi-objective model; optimization; scenario analysis; floodplain vertical shape index; aftereffect; lentic habitats; energy; stochastic linear programming; ?-constrained method; Tekeze basin; runoff; cascade reservoirs; costs and benefits; sediment flushing efficiency; vulnerability; Heihe River Basin; TB-MPC; heating impact; flushing efficiency; system dynamics; Indian Monsoon; shaft spillway pipe; integrated supply system modeling; seasonal rainfall; sediment management; design and operation of the multipurpose reservoir; Kappa distribution; CO2; reliability; uncertainty; Yangtze River; Markov chain; the Yangtze River; Environmental Fluid Dynamics Code (EFDC) model; land and water resources; integrated surface water-groundwater model; Heilongjiang; Kurobe River; flow regime; numerical simulation; long distance water diversion; tropical reservoir; multi-stage stochastic optimization; direct policy search; inverted siphon; environmental flow; parameterization; accompanying progressive optimality algorithm; integrated management; hydropower stations; differential evolution algorithm; sediment flushing of empty storage; back propagation neural network; NSGA-II; two-dimensional bed evolution model; real-time control; upper Chao Phraya River Basin; CMIP5; genetic algorithm; dam; irrigation; CMIP3; water energy; discharge; the Jingjiang River Reach; water environmental capacity (WEC); climate change; shortage ratio: Vulnerability; optimal scheduling; hydrology; Siemianówka; ungauged basin; game theory; power function; SWAT; Dokan Dam; natural flow regime; bitterling; reservoir flushing; vertical profiles of concentration; ratio curve; partial gauged basin; sediment load; adaptive management; water deficit; the upper Yangtze River Basin; Miyun Reservoir; parameter relation; stochastic dynamic programming; NPP; runoff response; Narew River; coupling model; Langcang-Mekong River; drinking water resources; the Huangshi Reservoir; reverse regulation; nutrient uptake; water resources allocation; multi-agent of river basin; HEC-ResPRM; dynamic programming with progressive optimality algorithm (DP-POA); reservoir operation; sea surface temperatures; reservoir simulation model; SWAT model; El Niño/Southern Oscillation; CORDEX-Africa; hedging policy; multi-objective optimization NSGA II; reservoir; general regression neural network; flood control; Jingjiang River Reach; catchment modelling
• Persona (resp. second.): ZhangChi; FuGuangtao
• Sommario/riassunto: River catchments and reservoirs play a central role in water security, food supply, flood risk management, hydropower generation, and ecosystem services; however, they are now under increasing pressure from population growth, economic activities, and changing climate means and extremes in many parts of the world. Adaptive management of river catchments and reservoirs requires an in-depth understanding of the impacts of future uncertainties and thus the development of robust, sustainable solutions to meet the needs of various stakeholders and the environment. To tackle the huge challenges in moving towards adaptive catchment management, this book presents the latest developments in cutting-edge knowledge, novel methodologies, innovative management strategies, and case studies, focusing on the following themes: reservoir dynamics and impact analysis of dam construction, optimal reservoir operation, climate change impacts on hydrological processes and water management, and integrated catchment management.
• Titolo autorizzato: Adaptive Catchment Management and Reservoir Operation
• ISBN: 3-03897-739-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346678403321
• Lo trovi qui: Univ. Federico II