The objective of this study is to provide a broad scale climate change assessment on Rainfall, Air Temperature and Evaporation for the Amatshe project

The objective of this study is to assess the suitability of the current flood lines.

The main objectives of the Project : 1. Conduct a water balance study and other relevant studies for the Sungai Muda basin; 2. Plan, design, develop, and execute a water balance model together with a Decision Management Support System (DMSS)

Main project features: The ZAMWIS-DSS project includes three main components: 1) The upgrade of the ZAMWIS Database, 2) The design and development of the ZAMWIS DSS, 3) Capacity building of the ZAMWIS-DSS

Water Resources Management Consultancy in support of institutional establishment in Shire River Basin: Configuration of base case MIKE Hydro Basin model to be used in scenario analysis for water resources development scenarios

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.

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.

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.

Investigation of Surface Groundwater Interaction of the Gamagara River. This was an investigation into the problems associated with Swallet formation in the Gamagara river and looking at detailed hydrological modelling to assess the downstream impact on the river system and look at various high level remediation options.

A hydrological and water resources model was set up in the Kafue Catchment as a pilot to provide a framework for the understanding of the Impacts of Climate Change on the area.

A hydrological and water resources model was set up in the Kafue Catchment as a pilot to provide a framework for the understanding of the Impacts of Climate Change on the area.

Project consisted of performing an initial development of the Information and Communication Infrastructure Strategy, an Operations and Maintenance strategy, Water balance calculations for the Kafue Catchment Pilot and Climate change simulations for the final Simulations in the Kafue Pilot Catchment.

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.

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.

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.

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.

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.

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

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.

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

Review the impacts a proposed set of forestry will have on the groundwater, surface water and wetlands in the NIASSA province. The project used a combination of the ACRU hydrological model and the Mike Basin water resources management model.

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.

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.

Development of a rice crop model to determine rice yield both dryland and irrigated in Nigeria. The model was applied in GIS to give spatially explicit information on the viability of planting rice in specific areas.

Gathering and assessing fundamental data and information in preparation to the Huambo province challenge to establish intensive irrigation schemes and a conservation area.

In this project as set of water use algorithms were developed using measured empirical data. These were then cross referenced with global information on water use and crop yields related to Jatropha Curcus. The algorithms were then combined with spacially explicit data to determine the water use impacts relating to using Jatropha Curcus as a dryland crop. This information was also put into a financial model to determine the biofuels commercial viability.

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.

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.

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.

Developed a set of models for the application of hydro-economic based decisions for DWAF. This included the integration of hydrological and water resources model outputs into a resource economic model. This was developed to determine the economic impacts related to different land and water use scenarios.

Setup ACRU model to use Forecasted Rainfall information in determining streamflow in Umkomaas catchment area. Run this and develop a report for NOAA