Phatsimo P. Ramatsabana
Working title of thesis: Integrated hydrological modelling for groundwater drought in South Africa
Degree: MSc Hydology
Supervisor/s: Dr J. Tanner and Dr S. Mantel
Year of registration: 2019
I obtained a BSc degree in Earth and Environmental Sciences form the Botswana International University of science and technology (BIUST) where, my undergraduate research was focused on analysing historical precipitation trend in the central district of Botswana. I then progressed to do a BSc (Hons.) in Geography (Water Research Management) at Rhodes University. For my honours research, I compared actual evapotranspiration (ETa) data derived from three estimation techniques (MODIS ET product, FruitLook, Pitman model) and one measurement technique (scintillometer) to assess their effectiveness in determining ETa on palmiet wetlands. My main study area was Krom palmiet wetland in the Eastern Cape, SA.
Currently, I am working on my masters research which was born out of a project by the South Africa Water Research Commission which is focused on developing a drought prediction system for South Africa by studying different components of the hydrological cycle including, groundwater. My project investigates the performance of groundwater systems during drought by applying an integrated hydrological modelling approach that looks at the propagation of drought through meteorological, hydrological and hydrogeological systems. The research applies commonly used surface water reservoir performance indicators (resilience, reliability, vulnerability and endurance) to groundwater aquifer systems. An important variant to this approach is the use of an integrated hydrological model (Pitman model) which simulates both surface water and groundwater systems together and as such, an important aim of the study is to assess the ability of the model to structurally represent groundwater drought propagation. Secondly, storage- draft relationships of aquifers will be evaluated using mass curve analysis approach in order to determine the aquifer yield reliability and explore the consequences of various abstraction scenarios. This knowledge can be used to improve drought preparedness in South Africa.
Last Modified: Fri, 27 Sep 2019 09:13:09 SAST