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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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Copulas and Its Application in Hydrology and Water Resources [[electronic resource] /] / by Lu Chen, Shenglian Guo
| Copulas and Its Application in Hydrology and Water Resources [[electronic resource] /] / by Lu Chen, Shenglian Guo |
| Autore | Chen Lu |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (296 pages) |
| Disciplina | 519.535 |
| Collana | Springer Water |
| Soggetto topico |
Hydraulic engineering
Statistics Geoengineering, Foundations, Hydraulics Hydrology/Water Resources Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 981-13-0574-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Copula function -- Copula-based seasonal design flood calculation -- Drought analysis using copulas -- Copula-based flood coincidence risk analysis -- Copula-based multi-site streamflow simulation -- Copula-based forecast uncertainty evolution model for flood risk analysis -- Copula entropy -- Determination of input for Artificial Neural Networks for flood forecasting using the copula entropy method -- Measures of correlations among rivers using copula entropy. |
| Record Nr. | UNINA-9910350348303321 |
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Chen Lu
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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