Abstract
Development of total sediment load (TL) equations for Malaysian rivers was first cited in Sinnakaudan et al. [1]. Sinnakaudan et al. [4] proposed an equation which may best predict TL for mountain rivers (MR). In 2011, Sinnakaudan and Sulaiman [3] listed another 22 possible combinations of multiple linear regression TL equations which may be used for MR in Malaysia. However, their performance is not fully verified due to field data constraints. The present paper gives the performance test carried out for the equations with latest 130 sets of data collected from 25 numbers of Malaysian MR. The accuracy of the existing equations was obtained using the discrepancy ratio analysis, which is the ratio of calculated values to the measured values. Overall prediction indicates that Eq. (11) obtained from Sinnakaudan and Sulaiman [3] performs better compared to other equations; however, the percentage prediction is still below 30 %. Thus, a site-specific equation is proposed to be developed based on to correctly predict the sediment transport in MR in Malaysia
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References
Sinnakaudan SK, Ghani AAb, Ahmad MSS, Zakaria NA (2006) Multiple linear regression model for total bed material load prediction. J Hydraul Eng 132(5):521–528
Sinnakaudan SK, Sulaiman MS (2007) Development of total bed material load equation for high gradient rivers in Malaysia. In: Proceeding of the 10th international symposium on river sedimentation, Moscow State University, Moscow, pp 297–304
Sinnakaudan SK, Sulaiman MS (2011) Total bed material load equation development for mountain rivers: worked example. (ISBN: 978–3-8454-3039-3) LAP Lambert Academic Publishing AG & Co. KG
Sinnakaudan SK, Sulaiman MS, Teoh SH (2010) Total bed material load equation for high gradient rivers. J of Hydro-Environ Res 4:243–251
Sinnakaudan SK (2010) Sediment Transport Modeling (STM) and Flood Risk Mapping in GIS. (ISBN 978-3-8383-4733-2) LAP Lambert Academic Publishing AG & Co. KG
Sinnakaudan SK, Abdul Razad AZ (2014) Development of Total sediment load of High Gradient Rivers of Sg. Lemoi, Sg Bertam and Sg. Telom for Ulu Jelai Hydroelectric Scheme in Pahang.TNB Reaserch Sdn. Bhd (unpublished)
USGS- United State Geological Survey (2005) Sediment data collection technique, USGS training course–SW1091TC. USA (unpublished), Vancouver
Sinnakaudan SK, Sulaiman MS (2008) Influential parameters for sediment transport prediction in headwater streams (Hws). Paper presented at the 8th international conference of hydro-science and engineering, Nagoya Hydraulic Research Institute for River Basin Management, Nagoya, Japan
Yang CT (1984) Unit Stream Power Equations for Gravel. J Hydraul Eng 110(HY12):1783–1797
Acknowledgment
We would like to thank the Ministry of Science, Technology and Innovation (MOSTI) for funding this research through E-science grant (04-01-01-SF0126). Part of the data for this study were obtained from contract research awarded by TNB Research Sdn Bhd in 2014. Many thanks also due to Water Resources Engineering and Management Research Centre (WAREM), Faculty of Civil Engineering and Research Management Institute, Universiti Teknologi MARA for their support and encouragement to conduct this research successfully.
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Sinnakaudan, S.K., Shukor, M.R., Sulaiman, M.S., Ismail, S.I.H., Mohammed, M., Che Soh, R. (2016). Evaluation of Total Load Equation for Malaysian Mountain Rivers. In: Tahir, W., Abu Bakar, P., Wahid, M., Mohd Nasir, S., Lee, W. (eds) ISFRAM 2015. Springer, Singapore. https://doi.org/10.1007/978-981-10-0500-8_16
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DOI: https://doi.org/10.1007/978-981-10-0500-8_16
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