Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta

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cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeAsian Mega-Deltas
cg.creator.identifierMahesh Jampani: 0000-0002-8925-719X
cg.creator.identifierD R SENA: 0000-0003-4683-4687
cg.creator.identifierMatheswaran, Karthikeyan: 0000-0001-7377-0629
cg.creator.identifierkarthikeyan matheswaran: 0000-0001-7377-0629
cg.placeColombo, Sri Lankaen
dc.contributor.authorJampani, Maheshen
dc.contributor.authorSena, Dipaka Ranjanen
dc.contributor.authorMatheswaran, Karthikeyanen
dc.date.accessioned2024-02-07T10:30:55Zen
dc.date.available2024-02-07T10:30:55Zen
dc.identifier.urihttps://hdl.handle.net/10568/139016
dc.titleFramework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Deltaen
dcterms.abstractThe 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.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationJampani, 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.en
dcterms.extent8p.en
dcterms.issued2023-12-27
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisherInternational Water Management Instituteen
dcterms.typeBrief

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