The Fish River catchment in Namibia is an area of concern to the Government as it is a flood prone area having registered very high floods, causing extensive damage to the town of Mariental and the irrigation schemes downstream of Hardap Dam. Measures needed to be put in place to curb further damage as the catchment undergoes its natural flood cycle. The system was modelled, and various mitigation measures were analysed and suggested for the area.

This pilot project was used to develop a flood prediction system for the IUCMA using the Mike Operations software. The system was successfully implemented and ran flood forecasts on the Crocodile river system in the Inkomati catchment. It contains a predictive hydrological model as well as a hydraulic model integrated into a real time operational framework.

Set up system to provide a full hydrologically corrected DEM for the entire Inkomati Catchment Management Agency. The requirement was to use detailed contour data to generate a DEM at high resolutions and then generate a corrected DEM river delineation, catchment delineation and calculation of dam volumes.

Research project to develop a set of operating algorithms to optimise releases from Gariep and Van der Kloof dams. Project showed that with information from runoff and on the actual system it was possible to pre-release water from the dams which would prevent the flooding impact and increase electricity generation through the turbines.

Setup a decision support system for the Western Cape Water Supply System which was able to provide key information for the overall system integrating several different modelling frameworks. This enabled the models to run and automatically and inform users on the amounts to release to meet water demands as well as provide information on curtailment and restriction decisions.

An online decision support system was setup to assist in the improved management of the system. This integrated hydraulic models within a water resources modelling framework, in an operational system which optimised releases and provided early warnings on the Western Cape Water Supply System. Information was published to a set of management dashboards that were accessible over the internet.

The WRMDSS provides web-based data capture for geographically dispersed Umgeni Water offices. Data such as dam levels, river flow, wastewater treatment volumes, and rainfall is captured by staff on a daily basis. This data is then validated and stored in a central database at head office. Detailed web reports and automated email reports are generated and disseminated within Umgeni Water, displaying data such as historic reservoir trajectories, treatment plant intake and sales, reservoir levels, and tabular reports ready for quarterly reporting documents.

Set up an information management system as a pilot for the BECSA area. The system was set up to integrate various information sources into a single database.

Development of an integrated surface and groundwater model to investigate the impacts that the mining concession would have on ground and surface water quality and quantity.

Hydrological modelling of the Power Plant looking at impacts on the surface and groundwater hydrology

The Inkomati WMA was considered to be stressed with water requirements exceeding the available supply in all areas except the Sabie River catchment. There was a need to perform a hydrological and systems analysis in this area to determine the water availability on the system and ensure that all users received their allocation.

Team collected and processed all the hydrological information to develop the SLURP model which was then setup and run on the Olifants river catchment. A full simulation model was set up and verified producing spatially discrete hydrology for the entire catchment.