In this project an analysis was performed to determine if there was enough water to support an irrigation scheme in the upper Lunsemfwa Catchment in Zambia. The project was being developed by Nordzuker. The analysis yielded significant impacts on downstream users including the Lunsemfwa hydropower scheme and infrastructure interventions to ameliorate yield impacts were considered too expensive to support the irrigation water requirements.

Initial water quality impact assessment of the extensions to the Maputo Water Treatment Works on the Mbuluzi river

Full annual operating analysis for the Letaba catchment looking at water availability short term for drought management conditions using a water resources modelling framework. Comparing several models for the application in South Africa.

In this project a framework was set in place to develop a classification system for RDM based on the National Water Act of 1998. The system was established, and the framework used to inform later work on the development of an generic framework for the classification of Water Resources in South Africa.

Researched and development of a Classification System for water resources in South Africa. This framework system was developed for implementation based on current literature and the National Water Act of 1998. A risk-based classification was developed that balanced the need to implement the reserve against environmental impacts and impacts on Water Users.

Looking at specific options related the hydrological and water resources implementations. Assessing the feasibility of different licensing conditions and the practically of implementing these systems in an operational framework.

Developed a system which was used to setup different institutional arrangements in a reservoir. These included user specific curtailments and water banking. The system was then used to test specific institutional arrangements from a human behaviour and resource economics perspective.

Perform an initial high level scoping exercise for the Usuthu-Mhlathuze WMA. This included the collection of GIS and water related data such as weirs and flow records, rainfall information and various other biophysical indicators to include in an initial report.