Services - Water Resources Planning

EkoSource Insight has the ability to apply a range of Water Resources Planning Models to resolve Water Allocation and Planning Challenges

Water resource management is the activity of planning, developing, allocating and managing the optimum use of water resources. Water resource planning studies for short, medium to long term or water allocation plan, encompasses a number of activities or assessments. These assessments include:

  • Determine available water in the catchment from observed information or using hydrological models ( preferably using fully physical based models)

  • Determine water use in the catchment from observed information ( e.g. water meters, satellite information) or using hydrological models

  • Assess water availability of catchments or determine water yield of the system

  • Develop operating rules based the country institutional arrangement for optimum and equitable water use to advance social and economic progress

The assessment of water availability involves historical and stochastic determination of reservoirs and systems yield as well as the risk of water scarcity in future due climate variability and climate change. Ekosource has been involved in a number of water resource studies, and some of the projects are discussed below.

Water Resource Planning Assessments

Planning Study Examples

Progressive Realisation of the IncoMaputo Agreement (PRIMA): System Operating Rules for the Incomati and Maputo Watercourses.

The project aimed at developing a set of operating rules for the Incomati and Maputo water courses. As part of this project there was a requirement to develop a set of integrated operating objectives which could be used to develop the operating rules to manage the entire catchment area.   Setting integrated operating objectives for the entire Inco-Maputo area was a challenging task. Complexity involved with the task revolved around the arrangement that these large basins are split between 3 countries, which each have a number of different management units and institutional structures to address operational water management challenges. The key challenge was to optimise the local resource usage while at the same time not compromising the system as a whole. A multi-tiered approach to the management of the basin was implemented, where overall key management objectives were produced at a global level and the systems were operated on a local basis while ensuring compliance with the larger overall objectives.

Water availability for Lunsemfwa catchment, Zambia.

The Lunsemfwa River is a major tributary of the Luangwa River, forming part of the Zambezi River basin. The major users of the water resource provided by the river are large scale commercial agriculture and the Lunsemfwa Hydro Power Company’s (LHPC) Lunsemfwa Power Station. Lunsemfwa and Mulungushi Dams Power Stations were sold under the privatization programme in 1991. The sale and purchase agreement was expected to include the transfer of water rights WDB/40 and WDB/40a as a pre-requisite to the sale. LHPC applied to the Water Board for Water Rights as held by ZCCM.

The Lunsemfwa catchment has predominantly irrigation users (approx. 15 % of total water right) at the upper part of the catchment, and a large hydropower user at the outlet (approx. 85 % of water right) of the catchment. The water resource yield assessment that was performed in this project was to determine the water availability in the catchment and the potential impacts on system yield if the proposed Chimsoro farm expansion is to be implemented. This includes the possible development of the proposed Lunsemfwa Dam Project. The water resource yield assessment of a catchment consists of hydrological assessment using an observed stream flow or rainfall-runoff modelling, and a yield assessment using a water resources network modelling framework. In this project, the rainfall-runoff modelling was performed using the one point rainfall data collected from previous studies and the water use information that was extracted from satellite coverage from the period of 1998 to 2014. Furthermore, the rainfall data was adjusted to take into account spatial variability using the MAP (mean annual precipitation) information.

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