Options for digital twin application in developing country river basin management: a review

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cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeDigital Innovationen_US
cg.creator.identifierJoel Botai: 0000-0002-0695-2489en_US
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135en_US
cg.creator.identifierkarthikeyan matheswaran: 0000-0001-7377-0629en_US
cg.creator.identifierChris Dickens: 0000-0002-4251-7767en_US
cg.creator.identifierNkateko Nicole Langa: 0009-0007-5707-9097en_US
cg.identifier.iwmilibraryH052347en_US
cg.identifier.urlhttps://www.iwmi.cgiar.org/Publications/Other/PDF/options_for_digital_twin_application_in_developing_country_river_basin_management-a_review.pdfen_US
cg.placeColombo, Sri Lankaen_US
dc.contributor.authorBotai, Joel O.en_US
dc.contributor.authorGhosh, Surajiten_US
dc.contributor.authorMatheswaran, Karthikeyanen_US
dc.contributor.authorDickens, Chrisen_US
dc.contributor.authorLanga, Nkatekoen_US
dc.contributor.authorGarcia Andarcia, Mariangelen_US
dc.date.accessioned2023-11-28T15:00:31Zen_US
dc.date.available2023-11-28T15:00:31Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/134763en_US
dc.titleOptions for digital twin application in developing country river basin management: a reviewen_US
dcterms.abstractA Digital Twin (DT) is a digital representation of reality. This report explores the implementation of DT in the context of basin scale water management, with a particular focus on developing countries. The review begins with an examination of the background of DT and then delves into successful applications of DT particularly in developing nations. It also explores the potential of integrating Virtual Reality (VR) technologies as a part of DT, emphasizing the importance of stakeholder needs assessment for effective deployment. The review highlights the significance of data infrastructure architecture and data governance in the context of Digital Twins. The review concentrates on the published literature and the application of Digital Twins to river basins, emphasizing their role in decision-making at this level and outlining various use cases for water management. Furthermore, it assesses the expected impact of DT through the lens of the Sustainable Development Goals (SDGs). The review concludes by exploring the integration of Artificial Intelligence (AI) in the context of DT for river basins. Overall, this review summarizes the potential benefits and challenges of implementing DT for water management in developing countries.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationBotai, Joel O.; Ghosh, Surajit; Matheswaran, Karthikeyan; Dickens, Chris; Langa, Nkateko; Garcia Andarcia, Mariangel. 2023. Options for digital twin application in developing country river basin management: a review. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 20p.en_US
dcterms.extent20p.en_US
dcterms.issued2023-11-21en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherCGIAR Initiative on Digital Innovationen_US
dcterms.subjectdigital technologyen_US
dcterms.subjectriver basin managementen_US
dcterms.subjectdeveloping countriesen_US
dcterms.subjectartificial intelligenceen_US
dcterms.subjectmachine learningen_US
dcterms.subjectdatasetsen_US
dcterms.subjectgovernanceen_US
dcterms.subjectframeworksen_US
dcterms.subjectdecision makingen_US
dcterms.subjectmodelsen_US
dcterms.subjectwater resourcesen_US
dcterms.subjectwater managementen_US
dcterms.subjectsustainable development goalsen_US
dcterms.subjectwater qualityen_US
dcterms.subjectenvironmental flowsen_US
dcterms.subjectstakeholdersen_US
dcterms.typeWorking Paperen_US

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