Abstract
River hydraulic models have successfully identified the weaknesses and areas for improvement with respect to flooding in the Sarawak River system, and can also be used to support decisions on flood management measures. Often, the big question is ‘how’. This paper demonstrates a theoretical flood management framework inferred from Sarawak River modelling outputs. The river model simulates the movement of flood waters through river reaches. Information on flood levels and overtopping of embankments is used to guide a flood early warning system. The above-mentioned elements were combined in a logical framework that showed logic sequences and impact indicators for improved flood relief activities in the city of Kuching, Malaysia.Keywords: Flood, framework, InfoWorks RS, logframe, river modelling
Highlights
South China NThe Sarawak River system has been the subSea ject of numerous studies, due to the location of Kuching, the capital of Sarawak State, Malaysia, within the basin
The analysis shows that the Lower Sarawak River is the most vulnerable to flood risk
These data were fed into a flood management framework to enable decision support
Summary
The Sarawak River system has been the subSea ject of numerous studies, due to the location of Kuching, the capital of Sarawak State, Malaysia, within the basin. Barrage gates were modelled as radial gates With these hydrological data, a base river model simulating the existing conditions was calibrated, using channel and floodplain friction as free parameters, against recorded and modelled hydrographs of Sarawak River. The base model, carefully calibrated against discharge for one event, can be utilised to predict discharge, using independent data for the second event, and including the flood bypass channel, a new barrage and tide levels. The Sarawak River basin did not have a any documented flood management framework, but has 2 mitigation structures, i.e. the Kuching Barrage and the upcoming flood bypass channel. The upstream tributaries floodplain had a rate of submergence of 0.2-1.8 km/h These data were fed into a flood management framework to enable decision support
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