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...

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Main Authors: Jampani, Mahesh, Sena, Dipaka Ranjan, Matheswaran, Karthikeyan
Format: Brief
Language:Inglés
Published: International Water Management Institute 2023
Online Access:https://hdl.handle.net/10568/139016
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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.
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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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AT matheswarankarthikeyan frameworkforadvancingwaterresourcesustainabilityandclimateresiliencethroughlocalscalehydrologicalmodelinginthegangesdelta