Operational decision support system for sustainable water resource management for Sungai Selangor

Boelee, L. and Bahrom, R. and Amer, H. and Zamri Sondor, N. and Brown, E. and Ahmad, F. and Wilson, G. (2017) Operational decision support system for sustainable water resource management for Sungai Selangor. In: IAHR World Congress 2017, 13 - 18 August 2017, Kuala Lumpur, Malaysia.

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Abstract

The Selangor River lies on the west coast of Peninsular Malaysia, 70 km north of Kuala Lumpur. The Selangor catchment area is approximately 2000 km2 and has two major dams located in the upstream part of the catchment: Sungai Selangor Dam and Sungai Tinggi Dam. Lembaga Urus Air Selangor (LUAS) is the Malaysian government agency responsible for water resources management of the Selangor catchment, their main challenge being to balance an increase in water demand, whilst trying to manage the catchment’s environmental state. Key to this is the amount of water that is being released from the two reservoirs. The current manual decision-making process (based on staff experience) does not provide LUAS with the efficiency and accuracy that is required in a catchment where sustainability is key and water resources are not always abundant. A solution was required to improve the management of the current resources, thus reducing the need for the costly and environmentally contentious development of new infrastructure. The operational Decision Support System (DSS) for sustainable water resources management of the Sungai Selangor catchment is a non-structural tool developed to support LUAS in optimising the reservoir releases and water abstractions in the catchment; it is also known as LUAS Intelligent Support System (LiSS). LiSS is a fully automated system that is driven by a combination of live, telemetered gauged data from various sources including the InfoBanjir telemetry database and Numerical Weather Prediction (NWP) rainfall forecasts from the Malaysian Meteorological Department (MMD). Simulations are carried out automatically on an hourly basis, to calculate and forecast whether flows at Bestari Jaya Barrage near the main abstraction location (SSP1) are being maintained at the required levels. If the required flows are not met, being either too high or too low, the model is re-run using an adjusted reservoir release time series. LiSS should also be able to help LUAS in future increase the sustainability of management of water resources in the Selangor catchment. This paper describes the approach developed to support LUAS meet this objective, in a manner that can be used in real-time, and which can be transferred to other catchments in future. The advantages and disadvantages of potentially expanding this system to use ensemble forecasts, data assimilation and optimisation algorithms are discussed, along with suggestions for further research.

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