Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta
The Ganges Delta has large agricultural landscapes that provide food for millions of people. However, changes in climate and anthropogenic activities are causing water scarcity, floods and soil salinization, threatening food security and putting livelihoods at risk. To address these challenges, the...
| Main Authors: | , , |
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| Format: | Brief |
| Language: | Inglés |
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International Water Management Institute
2023
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| Online Access: | https://hdl.handle.net/10568/139016 |
| _version_ | 1855518359135715328 |
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| author | Jampani, Mahesh Sena, Dipaka Ranjan Matheswaran, Karthikeyan |
| author_browse | Jampani, Mahesh Matheswaran, Karthikeyan Sena, Dipaka Ranjan |
| author_facet | Jampani, Mahesh Sena, Dipaka Ranjan Matheswaran, Karthikeyan |
| author_sort | Jampani, Mahesh |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Ganges Delta has large agricultural landscapes that provide food for millions of people. However, changes in climate and anthropogenic activities are causing water scarcity, floods and soil salinization, threatening food security and putting livelihoods at risk. To address these challenges, the CGIAR Initiative on Asian Mega-Deltas (AMD) is working to create more resilient, inclusive and productive deltas that can adapt to climate change and other stressors. The International Water Management Institute (IWMI) is undertaking local-scale hydrological modeling and developing Artificial Intelligence (AI)-powered salinity forecasting in the Ganges Delta Region to evaluate water and salinity dynamics.
This innovation brief outlines the methodological framework that will be used to develop a salinity forecasting system for the polders in Bangladesh using machine learning techniques, surface water and groundwater flow, and contaminant transport modeling to understand water and salinity dynamics and balances in the respective polders. The overall aim is to generate polder-specific knowledge that can optimize water management, increase agricultural productivity and ensure the long-term sustainability of this crucial deltaic system. |
| format | Brief |
| id | CGSpace139016 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | International Water Management Institute |
| publisherStr | International Water Management Institute |
| record_format | dspace |
| spelling | CGSpace1390162025-11-07T08:25:16Z Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta Jampani, Mahesh Sena, Dipaka Ranjan Matheswaran, Karthikeyan The Ganges Delta has large agricultural landscapes that provide food for millions of people. However, changes in climate and anthropogenic activities are causing water scarcity, floods and soil salinization, threatening food security and putting livelihoods at risk. To address these challenges, the CGIAR Initiative on Asian Mega-Deltas (AMD) is working to create more resilient, inclusive and productive deltas that can adapt to climate change and other stressors. The International Water Management Institute (IWMI) is undertaking local-scale hydrological modeling and developing Artificial Intelligence (AI)-powered salinity forecasting in the Ganges Delta Region to evaluate water and salinity dynamics. This innovation brief outlines the methodological framework that will be used to develop a salinity forecasting system for the polders in Bangladesh using machine learning techniques, surface water and groundwater flow, and contaminant transport modeling to understand water and salinity dynamics and balances in the respective polders. The overall aim is to generate polder-specific knowledge that can optimize water management, increase agricultural productivity and ensure the long-term sustainability of this crucial deltaic system. 2023-12-27 2024-02-07T10:30:55Z 2024-02-07T10:30:55Z Brief https://hdl.handle.net/10568/139016 en Open Access application/pdf International Water Management Institute Jampani, Mahesh; Sena, Dipaka Ranjan; Matheswaran, Karthikeyan. 2023. Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Asian Mega-Deltas. 8p. |
| spellingShingle | Jampani, Mahesh Sena, Dipaka Ranjan Matheswaran, Karthikeyan Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta |
| title | Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta |
| title_full | Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta |
| title_fullStr | Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta |
| title_full_unstemmed | Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta |
| title_short | Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta |
| title_sort | framework for advancing water resource sustainability and climate resilience through local scale hydrological modeling in the ganges delta |
| url | https://hdl.handle.net/10568/139016 |
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