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Adaptive Catchment Management and Reservoir Operation / Guangtao Fu, Guangheng Ni, Chi Zhang
| Adaptive Catchment Management and Reservoir Operation / Guangtao Fu, Guangheng Ni, Chi Zhang |
| Autore | Fu Guangtao |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (498 p.) |
| Soggetto topico | History of engineering and technology |
| 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 |
| ISBN |
9783038977391
303897739X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346678403321 |
Fu Guangtao
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
| Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
| Autore | Kisi Ozgur |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (238 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
additive regression
artificial intelligence artificial neural network atmospheric reanalysis bagging Bayesian model averaging big data calibration CWP dagging Daymet V3 EEFlux ensemble modeling extension principle flood routing fuzzy sets and systems Google Earth Engine Govindpur groundwater groundwater level prediction hydroinformatics hydrologic model improved extreme learning machine (IELM) irrigation performance Kernel extreme learning machines M5 model tree machine learning multivariate adaptive regression spline Muskingum method n/a NDVI neural network nitrogen compound nitrogen prediction non-linear modeling PACF particle swarm optimization prediction intervals prediction models principal component analysis random subspace rotation forest satellite precipitation sensitivity analysis shortwave radiation flux density South Korea spatiotemporal variation streamflow forecasting streamflow simulation support vector machine sustainability sustainable development SVM-LF SVM-RF uncertainty uncertainty analysis ungauged basin WANN water conservation water resources |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557448103321 |
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Kisi Ozgur
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||