Thesis (MSc (Geography and Environmental Studies))--University of Stellenbosch, 2005. / Since mechanised borehole drilling began in South Africa in the late 1800s, over 1 100 000 boreholes have been drilled. As the country’s growing population and the perceived impacts of climate change increase pressure on water surface supplies, attention is turning to groundwater to meet the shortfall in water supply. This will mean even more drilling will take place. Until the introduction of the Standard Descriptors for Boreholes, published in 2003, South Africa has not had a set of guidelines for borehole information capture. This document provides a detailed description of the basic information requirements needed to describe and characterise the process of drilling, constructing, developing, managing and monitoring a borehole. However, this document stands alone as a specification with little or no implementation or interpretation to date. Following the development and publishing of the ArcHydro data model for water resource management by the CRWR based at the University of Texas at Austin, there has been a great deal of interest in object-oriented data modelling for natural resource data management. This thesis describes the utilisation of an object oriented data modelling approach using UML CASE tools to design a data model for South African Boreholes, based on the Standard Descriptors for Boreholes. The data model was converted to a geodatabase schema and implemented in ArcGIS.