Application of Various Hydrological Modeling Techniques and Methods in River Basin Management
Hydrological models, ranging from conceptual to fully distributed frameworks, are essential for understanding and addressing water resource challenges. They offer innovative solutions to stabilize water balances and tackle pressing environmental issues such as droughts, floods, and water scarcity. C...
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| Format: | Online |
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| Langue: | anglais |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Accès en ligne: | ONIX_20250220_9783725830961_535 |
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| _version_ | 1869523537837948928 |
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| collection | Directory of Open Access Books |
| description | Hydrological models, ranging from conceptual to fully distributed frameworks, are essential for understanding and addressing water resource challenges. They offer innovative solutions to stabilize water balances and tackle pressing environmental issues such as droughts, floods, and water scarcity. Complementing these traditional methods, machine learning algorithms (MLAs) have proven highly effective in simulating complex hydrological processes, enabling improved predictions for flood forecasting, drought management, crop modeling, and freshwater allocation.This Special Issue of Water delves into cutting-edge advancements in hydrological modeling, highlighting the integration of remote sensing data and the application of MLAs to enhance the accuracy and efficiency of water resource management. From adapting novel machine learning techniques to assessing water balance components, the research in this collection addresses the critical challenges that are faced by watersheds worldwide.Featuring innovative approaches and practical applications, this Special Issue is an invaluable resource for researchers, practitioners, and policy-makers who are dedicated to advancing hydrological science and fostering sustainable water management solutions. |
| format | Online |
| id | doab-20.500.12854ir-153171 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1531712025-02-20T13:40:24Z Application of Various Hydrological Modeling Techniques and Methods in River Basin Management Srivastava, Ankur Sridhar, Venkat Kumari, Nikul grain velocity sediment transportation shear velocity ANN SVM HEC-ResPRM hydropower LULC change optimization reservoir operation storage soil organic matter prediction human activity factor large amount of data arable land river basin SWAT streamflow sediment yield critical source area evapotranspiration grey wolf optimizer machine learning meta-heuristics humid sub-humid random forests boosting watershed water balance land cover runoff water discharge Orinoco River continental-scale hydrological model simulated streamflow NWM model performance natural flow regulated flow cloud seeding rainfall–runoff analysis water securement water supply data-driven models information entropy monthly runoff forecasting PSO-FPA-DBN model Guadalquivir basin HydroBID rain gauge distributed precipitation Bolivia AHP erosion TOPSIS SAW VIKOR Tapi Basin hydrology Seybouse basin SUFI-2 multi-station modelling semi-arid regions groundwater recharge flow prediction CNN-LSTM SSA-BP PSO-ELM discharge land surface model hydrological model Songhua River Basin n/a thema EDItEUR::A The Arts::AT Performing arts::ATD Theatre studies thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Hydrological models, ranging from conceptual to fully distributed frameworks, are essential for understanding and addressing water resource challenges. They offer innovative solutions to stabilize water balances and tackle pressing environmental issues such as droughts, floods, and water scarcity. Complementing these traditional methods, machine learning algorithms (MLAs) have proven highly effective in simulating complex hydrological processes, enabling improved predictions for flood forecasting, drought management, crop modeling, and freshwater allocation.This Special Issue of Water delves into cutting-edge advancements in hydrological modeling, highlighting the integration of remote sensing data and the application of MLAs to enhance the accuracy and efficiency of water resource management. From adapting novel machine learning techniques to assessing water balance components, the research in this collection addresses the critical challenges that are faced by watersheds worldwide.Featuring innovative approaches and practical applications, this Special Issue is an invaluable resource for researchers, practitioners, and policy-makers who are dedicated to advancing hydrological science and fostering sustainable water management solutions. 2025-02-20T13:40:21Z 2025-02-20T13:40:21Z 2025 book ONIX_20250220_9783725830961_535 9783725830961 9783725830954 https://directory.doabooks.org/handle/20.500.12854/153171 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10452 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3095-4 10.3390/books978-3-7258-3095-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725830961 9783725830954 334 Basel open access |
| spellingShingle | grain velocity sediment transportation shear velocity ANN SVM HEC-ResPRM hydropower LULC change optimization reservoir operation storage soil organic matter prediction human activity factor large amount of data arable land river basin SWAT streamflow sediment yield critical source area evapotranspiration grey wolf optimizer machine learning meta-heuristics humid sub-humid random forests boosting watershed water balance land cover runoff water discharge Orinoco River continental-scale hydrological model simulated streamflow NWM model performance natural flow regulated flow cloud seeding rainfall–runoff analysis water securement water supply data-driven models information entropy monthly runoff forecasting PSO-FPA-DBN model Guadalquivir basin HydroBID rain gauge distributed precipitation Bolivia AHP erosion TOPSIS SAW VIKOR Tapi Basin hydrology Seybouse basin SUFI-2 multi-station modelling semi-arid regions groundwater recharge flow prediction CNN-LSTM SSA-BP PSO-ELM discharge land surface model hydrological model Songhua River Basin n/a thema EDItEUR::A The Arts::AT Performing arts::ATD Theatre studies thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Application of Various Hydrological Modeling Techniques and Methods in River Basin Management |
| title | Application of Various Hydrological Modeling Techniques and Methods in River Basin Management |
| title_full | Application of Various Hydrological Modeling Techniques and Methods in River Basin Management |
| title_fullStr | Application of Various Hydrological Modeling Techniques and Methods in River Basin Management |
| title_full_unstemmed | Application of Various Hydrological Modeling Techniques and Methods in River Basin Management |
| title_short | Application of Various Hydrological Modeling Techniques and Methods in River Basin Management |
| title_sort | application of various hydrological modeling techniques and methods in river basin management |
| topic | grain velocity sediment transportation shear velocity ANN SVM HEC-ResPRM hydropower LULC change optimization reservoir operation storage soil organic matter prediction human activity factor large amount of data arable land river basin SWAT streamflow sediment yield critical source area evapotranspiration grey wolf optimizer machine learning meta-heuristics humid sub-humid random forests boosting watershed water balance land cover runoff water discharge Orinoco River continental-scale hydrological model simulated streamflow NWM model performance natural flow regulated flow cloud seeding rainfall–runoff analysis water securement water supply data-driven models information entropy monthly runoff forecasting PSO-FPA-DBN model Guadalquivir basin HydroBID rain gauge distributed precipitation Bolivia AHP erosion TOPSIS SAW VIKOR Tapi Basin hydrology Seybouse basin SUFI-2 multi-station modelling semi-arid regions groundwater recharge flow prediction CNN-LSTM SSA-BP PSO-ELM discharge land surface model hydrological model Songhua River Basin n/a thema EDItEUR::A The Arts::AT Performing arts::ATD Theatre studies thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | grain velocity sediment transportation shear velocity ANN SVM HEC-ResPRM hydropower LULC change optimization reservoir operation storage soil organic matter prediction human activity factor large amount of data arable land river basin SWAT streamflow sediment yield critical source area evapotranspiration grey wolf optimizer machine learning meta-heuristics humid sub-humid random forests boosting watershed water balance land cover runoff water discharge Orinoco River continental-scale hydrological model simulated streamflow NWM model performance natural flow regulated flow cloud seeding rainfall–runoff analysis water securement water supply data-driven models information entropy monthly runoff forecasting PSO-FPA-DBN model Guadalquivir basin HydroBID rain gauge distributed precipitation Bolivia AHP erosion TOPSIS SAW VIKOR Tapi Basin hydrology Seybouse basin SUFI-2 multi-station modelling semi-arid regions groundwater recharge flow prediction CNN-LSTM SSA-BP PSO-ELM discharge land surface model hydrological model Songhua River Basin n/a thema EDItEUR::A The Arts::AT Performing arts::ATD Theatre studies thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725830961_535 |