Advances in Hydrologic Forecasts and Water Resources Management |
Autore | Chang Fi-John |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (272 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
water resources management
landslide dammed lake flood risk time-varying parameter GR4J model changing environments temporal transferability western China cascade hydropower reservoirs multi-objective optimization TOPSIS gravitational search algorithm opposition learning partial mutation elastic-ball modification Snowmelt Runoff Model parameter uncertainty data-scarce deglaciating river basin climate change impacts generalized likelihood uncertainty estimation Yangtze River cascade reservoirs impoundment operation GloFAS-Seasonal forecast evaluation small and medium-scale rivers highly urbanized area flood control whole region perspective coupled models flood-risk map hydrodynamic modelling Sequential Gaussian Simulation urban stormwater probabilistic forecast Unscented Kalman Filter artificial neural networks Three Gorges Reservoir Mahalanobis-Taguchi System grey entropy method signal-to-noise ratio degree of balance and approach interval number multi-objective optimal operation model feasible search space Pareto-front optimal solution set loss–benefit ratio of ecology and power generation elasticity coefficient empirical mode decomposition Hushan reservoir data synthesis urban hydrological model Generalized Likelihood Uncertainty Estimation (GLUE) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) uncertainty analysis NDVI Yarlung Zangbo River machine learning model random forest Internet of Things (IoT) regional flood inundation depth recurrent nonlinear autoregressive with exogenous inputs (RNARX) artificial intelligence machine learning multi-objective reservoir operation hydrologic forecasting uncertainty risk |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557110703321 |
Chang Fi-John | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of the Terrestrial Hydrologic Cycle |
Autore | Tang Qiuhong |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (260 p.) |
Soggetto topico |
Research & information: general
Geography |
Soggetto non controllato |
hydrological cycle
Three-North region climate change land cover change Variable Infiltration Capacity (VIC) model evapotranspiration runoff soil moisture three-temperature model infrared remote sensing urban hedges cooling effects irrigation mapping remote sensing random forest subhumid region dry-wet regime vegetation dynamics GLDAS GIMMS Yarlung Zangbo River Microwave emissivity difference vegetation index (EDVI) evapotranspiration (ET) satellite remote sensing cloudy sky clouds and earth's radiation energy system (CERES) ChinaFLUX precipitation classification K-nearest neighbor Doppler radar Tropical Precipitation Measurement Mission (TRMM) irrigation signal SMAP irrigation intensity winter wheat precipitation evaluation error analysis Fengyun quantitative precipitation estimates GPM IMERG deep learning Daihai Lake Huangqihai Lake lake degradation weather radar quantitative precipitation estimation rain gauge radar-rain gauge merging leave-one-out cross validation verification China exorheic catchments water balance GRACE terrestrial water storage changes reservoir storage MODIS SRTM |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557581803321 |
Tang Qiuhong | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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