Digital Twin for management of water resources in the Limpopo River Basin: a concept

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cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.affiliationCGIAR Initiative on Digital Innovationen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeDigital Innovation
cg.coverage.regionSouthern Africa
cg.coverage.subregionLimpopo River Basin
cg.creator.identifierMariangel Garcia: 0000-0002-4145-0847en
cg.creator.identifierChris Dickens: 0000-0002-4251-7767en
cg.creator.identifierkarthikeyan matheswaran: 0000-0001-7377-0629en
cg.creator.identifierJawoo Koo: 0000-0003-3424-9229en
cg.identifier.iwmilibraryH053058en
cg.identifier.projectIFPRI - Natural Resources and Resilience Uniten
cg.identifier.publicationRankNot rankeden
cg.placeColombo, Sri Lankaen
cg.reviewStatusInternal Reviewen
cg.river.basinLIMPOPOen
dc.contributor.authorGarcia Andarcia, Mariangelen
dc.contributor.authorDickens, Chrisen
dc.contributor.authorSilva, Pauloen
dc.contributor.authorMatheswaran, Karthikeyanen
dc.contributor.authorKoo, Jawooen
dc.date.accessioned2024-08-29T09:31:26Zen
dc.date.available2024-08-29T09:31:26Zen
dc.identifier.urihttps://hdl.handle.net/10568/151898
dc.titleDigital Twin for management of water resources in the Limpopo River Basin: a concepten
dcterms.abstractA Digital Twin is a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision making. The use of Digital Twins to aid decision-makers to make realtime decisions in complex systems is a growing field, with large potential for water system management. The CGIAR Initiative on Digital Innovation is developing a prototype Digital Twin for the Limpopo River Basin in close combination with stakeholders, to enable better management and conservation of this imperilled natural resource upon which millions of people depend. The Digital Twin will provide an attractive and easy-to-use interface for users to intuitively understand large volumes of data and modelling results for timely management decisions, and to simulate the impact of these decisions on the complex river basin ecosystem before they are put into action. This includes an artificial intelligence (AI) tool to interrogate and visualize key actionable data and forecasts. It will be developed in a phased approach according to stakeholder priorities.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationGarcia Andarcia, Mariangel; Dickens, Chris; Silva, Paulo; Matheswaran, Karthikeyan; Koo, Jawoo. 2024. Digital Twin for management of water resources in the Limpopo River Basin: a concept. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 4p.en
dcterms.extent4p.en
dcterms.issued2024-08-28en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Water Management Institute (IWMI). CGIAR Initiative on Digital Innovationen
dcterms.subjectwater resourcesen
dcterms.subjectwater managementen
dcterms.subjectdecision-support systemsen
dcterms.subjectmodellingen
dcterms.subjectdigital innovationen
dcterms.subjectartificial intelligenceen
dcterms.subjectriver basinsen
dcterms.subjectecosystem servicesen
dcterms.typeOther

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