Remote sensing estimations of water quality dynamics in the Asian mega deltas

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cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeAsian Mega-Deltas
cg.coverage.regionAsia
cg.coverage.subregionMekong Delta
cg.coverage.subregionIrrawaddy Delta
cg.coverage.subregionGanges Delta
cg.creator.identifierMahesh Jampani: 0000-0002-8925-719Xen
cg.identifier.iwmilibraryH053411en
cg.identifier.projectIWMI - C-0019en
cg.identifier.urlhttps://www.unoosa.org/documents/pdf/psa/activities/2024/UN-CostaRica/20240505-Book_of_abstracts_and_participant_information.pdfen
cg.placeVienna, Austriaen
cg.reviewStatusPeer Reviewen
dc.contributor.authorJampani, Maheshen
dc.date.accessioned2025-01-14T09:45:22Zen
dc.date.available2025-01-14T09:45:22Zen
dc.identifier.urihttps://hdl.handle.net/10568/168954
dc.titleRemote sensing estimations of water quality dynamics in the Asian mega deltasen
dcterms.abstractIn the Asian Mega Deltas, Mekong, Irrawaddy, and Ganges, millions of people depend on the aquatic environments for livelihoods. Inhabitants in these delta systems often face health risks that are amplified by anthropogenic pollution loads from terrestrial environments and tidal incursions from coastal environments. The water quality deterioration in these delta systems is complex, often due to a lack of wastewater treatment capacities, upstream activities, climate change implications, and inefficient water management practices. These impacts often lead to the contamination of both riverine and coastal ecosystems, adversely affecting local livelihoods and economies. Therefore, there is an urgent need to understand water quality dynamics within these deltas. The current research leverages multi-sensor satellite imagery in combination with predictive 20modelling to address these challenges. Overall, this research aims to evaluate the spatial and temporal variations of water quality and provide an essential understanding of contaminant plume extent, seasonal dynamics, and pollution occurrence based on events. This research and analysis provide insights into pollution dynamics, evaluating impacts, and developing robust strategies to improve water management in delta systems, thereby mitigating public health risks.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationJampani, Mahesh. 2024. Remote sensing estimations of water quality dynamics in the Asian mega deltas [Abstract only]. In United Nations Office for Outer Space Affairs (UNOOSA); Government of Costa Rica; Prince Sultan Bin Abdulaziz International Prize for Water (PSIPW). United Nations/Costa Rica/PSIPW 6th Conference on the Use of Space Technology for Water Management, San José, Costa Rica, 5-11 May 2024. Book of Abstracts and Participant Information. Vienna, Austria: United Nations Office for Outer Space Affairs (UNOOSA). pp.20.en
dcterms.extentpp.20en
dcterms.issued2024-05-07en
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherUnited Nations Office for Outer Space Affairs (UNOOSA)en
dcterms.subjectwater qualityen
dcterms.subjectremote sensingen
dcterms.subjectestimationen
dcterms.subjectdeltasen
dcterms.typeAbstract

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