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