Applicability of big data analytics to support groundwater management in Southern Africa

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dc.contributor.advisorKanyerere, Thokozani
dc.contributor.authorGaffoor, Zaheed
dc.date.accessioned2023-04-17T13:02:41Z
dc.date.accessioned2024-11-06T10:03:55Z
dc.date.available2024-11-06T10:03:55Z
dc.date.issued2022
dc.descriptionPhilosophiae Doctor - PhDen_US
dc.description.abstractGroundwater is a vital resources for member states in the Southern African Development Community (SADC). However, sustainable managing groundwater resources in SADC is a challenge. Amongst the many issues facing groundwater managers in SADC, limited access to high fidelity data, as well as a poor understanding of the techniques needed to transform the data into information, has hampered the decision making process. Big data relates to large, voluminous and heterogenous datasets which are being generated through numerous activities, such as computer simulations, remote sensing, commercial transactions, internet activity, monitoring networks, IoT sensors, historical documents, social media and many others.en_US
dc.description.embargo2026
dc.identifier.urihttps://hdl.handle.net/10566/17653
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.rights.holderUniversity of the Western Capeen_US
dc.subjectBig dataen_US
dc.subjectGroundwateren_US
dc.subjectSouthern African Development Community (SADC)en_US
dc.subjectClimate changeen_US
dc.subjectSouth Africaen_US
dc.titleApplicability of big data analytics to support groundwater management in Southern Africaen_US

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