Defense Date
7-11-2022
Graduation Date
Fall 12-16-2022
Availability
Immediate Access
Submission Type
thesis
Degree Name
MS
Department
Environmental Science and Management (ESM)
Committee Chair
David M. Kahler
Committee Member
Neil Brown
Committee Member
Joshua N. Edokpayi
Keywords
water resources management, groundwater, hydrologic modeling, remote sensing hydrology, transboundary water resources
Abstract
The Sand River Catchment is an important tributary of the transboundary Limpopo River in South Africa, which spans Botswana, Mozambique, South Africa, and Mozambique. Groundwater is a critical resource in the region, especially in the context of population growth and climate change. Data are needed for proper management of these water resources. In regions where groundwater data are sparse in time, space, or both, the most promising solutions come from satellites and hydrologic models. Regional literature suggests that the Soutpansberg Mountains, located within the Sand Catchment, are high-elevation water towers with uncertain groundwater resources. Improved understanding of groundwater resources in this watershed is critical for water resources management in downstream areas of the Sand River catchment. Groundwater resources in the Soutpansberg Mountains watershed were estimated via a hydrologic modelling and catchment water balance approach and validated with field data using electrical resistivity tomography. Groundwater data were obtained from NASA’s Gravity Recovery and Climate Experiment (GRACE). Precipitation and surface water data were obtained from the South Africa Department of Water and Sanitation (DWS) gage network. Additional data for surface water components were obtained from the Global Land Data Assimilation System (GLDAS) that combines satellite and ground-based data with land surface models and data assimilation. Flow and infiltration were modelled using HEC-HMS (U.S. Army Corps of Engineers). The model and water balance results support the hypothesis that the Soutpansberg Mountains watershed is a high recharge area that requires monitoring for sustainable use.
Language
English
Recommended Citation
Bakar, S. (2022). Hydrologic modeling with remote sensing for the estimation of groundwater resources within the Sand River Catchment, South Africa (Master's thesis, Duquesne University). Retrieved from https://dsc.duq.edu/etd/2060