Advances in Hydrologic Forecasts and Water Resources Management
This book collected recent studies on the latest methodological and operational advances in hydrological forecasting. Specifically, the collection of papers covers a range of topics related to improving hydrological forecasting via new datasets and innovative approaches.
Gardado en:
| Formato: | Online |
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| Idioma: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Subjects: | |
| Acceso en liña: | ONIX_20220111_9783036516806_375 |
| Tags: |
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| _version_ | 1869524887325900800 |
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| collection | Directory of Open Access Books |
| description | This book collected recent studies on the latest methodological and operational advances in hydrological forecasting. Specifically, the collection of papers covers a range of topics related to improving hydrological forecasting via new datasets and innovative approaches. |
| format | Online |
| id | doab-20.500.12854ir-76640 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-766402024-03-27T16:34:38Z Advances in Hydrologic Forecasts and Water Resources Management Chang, Fi-John Guo, Shenglian 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general This book collected recent studies on the latest methodological and operational advances in hydrological forecasting. Specifically, the collection of papers covers a range of topics related to improving hydrological forecasting via new datasets and innovative approaches. 2022-01-11T13:37:45Z 2022-01-11T13:37:45Z 2021 book ONIX_20220111_9783036516806_375 9783036516806 9783036516790 https://directory.doabooks.org/handle/20.500.12854/76640 eng MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1679-0 10.3390/books978-3-0365-1679-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036516806 9783036516790 109 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Advances in Hydrologic Forecasts and Water Resources Management |
| title | Advances in Hydrologic Forecasts and Water Resources Management |
| title_full | Advances in Hydrologic Forecasts and Water Resources Management |
| title_fullStr | Advances in Hydrologic Forecasts and Water Resources Management |
| title_full_unstemmed | Advances in Hydrologic Forecasts and Water Resources Management |
| title_short | Advances in Hydrologic Forecasts and Water Resources Management |
| title_sort | advances in hydrologic forecasts and water resources management |
| topic | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20220111_9783036516806_375 |