Development   of a Decision Support System for the Bulk Water Division of City of Cape   Town. This involved the setup of numerous water distribution system models,   development of data capture systems which included their bulk water treatment   facilities, as well as plant operators, and technicians. A set of management   dashboards has been developed to enable management to effectively understand   and engage with the system.

The National Water Quantity (NWQ) information provided to the South African National Space Agency (SANSA) is generated using pre-existing data modelling procedures developed and operationalized jointly by GEOTERRAIMAGE SA (www.geoterraimage.com) and EKOSOURCE (www.ekosource.co.za) . The application of these new technology developments has resulted in a new product being developed which enables the estimation of dam volumes at a quaternary catchment level. These include the assessment of the volume of all small dams and medium dams that are not monitored by DWS on a continuous basis.

Continued support for the Umngeni Water Water Resource Management System, update and maintenance of the system.

Provide specialized software support for DHI Mike customized software package subscription and maintenance on short term decision support system (DSS) Model upgrade and improvement on an as required basis for the period of one years.

Development of water resource Information Management system using MIKE INFO platform for the Water Resource Authority. The system allows data capturing, data analysis and information dissemination to stakeholders and public. The system was deployed in the 26 sub-region, 6 region offices and WRA headquarter.

Convert  the Umngeni Water Resources Management Decision Support System from an outdated database structure and outdated front end Graphical User Interface to a new system with better database structure, updated user controls and updated user interface.

This project focussed on assisting Umgeni   Water in setting up a flood disaster mitigation plan and early warning system   for the Umgungundlovu District Municipality. The objective of the project was   to work with Umgeni in capacity building its staff to develop hydrological   and hydrodynamic models. The project focussed on setting up a set of models   to determine the hydrological hazard threat, then combined this with GIS   collected vulnerability estimates to determine areas of highest risk. This   was then combined with the Early Warning Flood Forecasting System which   integrated the models into an operational framework.

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

This was a full flood risk assessment and development of a pilot system for the flood early warning on the lower part of the system. An integrated team was setup to investigate the options related to specific infrastructure interventions and economic impacts associated with these interventions. This study had a good success with findings being presented at Stockholm water week.

Development of an integrated system which enabled the collection of information from various data sources. This information is processed and presented in formats that will help decision makers. The system is able to integrate, and quality check data then publish the information onto the internet to inform the public and help decision makers.

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

The development of an integrated Water Resources Management Information System. This consisted of the development of an Information Management System to support WARMA in the implementation of the National Water Resources Management Act in Zambia. The system was set up to effectively capture and manage various water-based information and present these in a format that could be used to support decision making.