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Dr Daniel Kibirige Office No.: 4.08 Email: daniel.kibirige@uct.ac.za |
Qualifications
PhD Earth Sciences (University of Miskolc), M.Sc. Water Resource Engineering (Lund University), B.Sc. Water and Sanitation Cum Laude (University of Limpopo)
Academic Profile
Dr Daniel Kibirige has 10 years of experience in local, national and international water and environmental management projects. His expertise is in understanding spatial and temporal assessments of various hydrological and hydrogeological processes (SW/GW interactions) in various climates. In addition, he has a strong background in GIS, remote sensing applications, flood prediction and climate modelling, precision agriculture research and land and remediation projects.
Research Interests
Climate Change Impacts on Water Resources (Particularly extreme events), Geospatial Analysis in Hydrology (Remote Sensing applications), Water Quality Assessment and Management (SW/GW Interactions).
Current Research Projects
· April 2023 – Present, ” Development of an Operational Flood Monitoring System/ Flood Risk Information System – 2023/2024-01256″, Water Research Commission, South Africa, Principal Investigator [WRC Funded: 2023-2026]
· April 2022 – Present, “Adding surface water groundwater interaction dimension in runoff generation studies and catchment water management practices using isotope tracers”, KwaZulu Natal, South Africa, Water Research Commission: 2022-2023-00892, Researcher/Academic Supervisor [WRC Funded: 2022-2025]
· November 2021 Present, “Applications of isotope hydrology for management of water-related operational challenges in abandoned and active coal mines in KwaZulu Natal, South Africa ”, CRP F33026 International Atomic Energy Agency, Vienna, Secondary Chief Investigator /Academic Supervisor [IAEA Funded: 2021-2024]
Most Recent Publications
· Byaruhanga N, Kibirige D, Gokool S, Mkhonta G. Evolution of Flood Prediction and Forecasting Models for Flood Early Warning Systems: A Scoping Review. Water. 2024; 16(13):1763. https://doi.org/10.3390/w16131763
· Kibirige, D.; Gokool, S.; Mkhize, Z. Estimation of Soil Moisture using environmental covariates and Machine Learning algorithms in Cathedral Peak Catchment, South Africa. Vadose Zone Journal, 2024 23(3) e20289 https://doi.org/10.1002/vzj2.20289
· Kibirige, D.; Dobos, E. Off-site calibration approach of EnviroScan capacitance probe to assist operational field applications. Water, 2021, 13(6), 837 https://doi.org/10.3390/w13060837
· Kibirige, D.; Dobos, E. Estimation of surface soil moisture by integrating environmental data and remote-sensing satellites. Multidiszciplináris tudományok, 2021, 11:1, pp 22-37 https://doi.org/10.35925/j.multi.2021.1.3
· Kibirige, D.; Dobos, E. Estimation of soil moisture using Sentinel 1 SAR imagery and citizen
observatory data in winter wheat crop. Technical Publications of Earth Sciences, University of Miskolc 89:1 pp 93-99, 2020, HU ISSN 2063-5508.