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Assessment of Sediment Rating Curves for Mountain Rivers in Malaysia

Author(s): Shanker Kumar Sinnakaudan, Mohd Rizal Shukor, Munyati Mohammed, Azwin Zailiti Abdul Razad

Linked Author(s): Shanker Kumar Sinnakaudan

Keywords: Sediment transport, sediment rating curve, mountain rivers, discrepancy ratio test

Abstract: Sediment transport measurements at the inflowing rivers into reservoirs which are located at the mountainous catchment area have been always a daunting task. However, to meet the continuous requirement on reservoir sedimentation monitoring and management initiatives, Total Sediment Load (TL) rating curves are developed mostly based on low flow data and TL equations area is adopted to give reliable prediction for medium to high flow data. However, with the present state of knowledge, the selection of best TL equation for natural rivers remains a major doubt among engineers and practitioners. Thus, the present study attempts to evaluate applicability of the 10 existing TL equations to predict the sediment rating curves specifically for 2 inflowing rivers namely Sungai Senang Berangan and Sungai Kenyir into Kenyir Reservoir which is the largest man-made reservoir in Peninsular Malaysia. A total of 48 sets sediment and hydraulic data which covers low to high flow ranges have been obtained from Sinnakaudan and Abdul Razad (2014) and is adopted in the analysis. The study streams data encompass a wide range of flow discharge (0. 034 m3/s � 23. 96 m3/s) with diverse particle size ranging from fine sand to boulder size of bed material (d50). The accuracy of existing equations is assessed by discrepancy ratio (DR) analysis whereby the predicted and measured TLs are compared and accepted if the ratio is within the acceptable range from 0. 5 - 2. 0. It is found that Shen & Hung (1972) and Sinnakaudan et al. (2010) equations can predict more than 10% of data for coarse bed river. However, Shen & Hung (1972) shows consistency in prediction for both river morphologies and is adopted for TL rating curve development for the said rivers

DOI:

Year: 2017

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