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Adaptive Catchment Management and Reservoir Operation
| Adaptive Catchment Management and Reservoir Operation |
| Autore | Ni Guangheng |
| Pubbl/distr/stampa | 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 |
| ISBN | 3-03897-739-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346678403321 |
Ni Guangheng
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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 electronic resource (238 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
groundwater
artificial intelligence hydrologic model groundwater level prediction machine learning principal component analysis spatiotemporal variation uncertainty analysis hydroinformatics support vector machine big data artificial neural network nitrogen compound nitrogen prediction prediction models neural network non-linear modeling PACF WANN SVM-LF SVM-RF Govindpur streamflow forecasting Bayesian model averaging multivariate adaptive regression spline M5 model tree Kernel extreme learning machines South Korea uncertainty sustainability prediction intervals ungauged basin streamflow simulation satellite precipitation atmospheric reanalysis ensemble modeling additive regression bagging dagging random subspace rotation forest flood routing Muskingum method extension principle calibration fuzzy sets and systems particle swarm optimization EEFlux irrigation performance CWP water conservation NDVI water resources Daymet V3 Google Earth Engine improved extreme learning machine (IELM) sensitivity analysis shortwave radiation flux density sustainable development |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557448103321 |
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Kisi Ozgur
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||