Numerical modeling of the Sakuma Dam reservoir sedimentation

Prashanth Reddy Hanmaiahgari (), Nooka Raju Gompa (), Debasish Pal () and Jaan Hui Pu ()
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Prashanth Reddy Hanmaiahgari: IIT Kharagpur
Nooka Raju Gompa: IIT Kharagpur
Debasish Pal: IIT Kharagpur
Jaan Hui Pu: University of Bradford

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 91, issue 3, No 13, 1075-1096

Abstract: Abstract The present study attempts to predict the reservoir sedimentation in 32 km region of the Tenryu River between the Hiraoka and Sakuma Dams in Japan. For numerical simulations of the reservoir sedimentation, the one-dimensional model of the Hydrologic Engineering Centre-River Analysis System (HEC-RAS) is used together with the inclusion of channel geometry, bed gradation curve, Exner-5 bed sorting mechanisms, fall velocity of the particle, and flow and sediment boundary conditions pertaining to modeling region. The modeling region of the Tenryu River is divided into 48 river stations with 47 reaches in the numerical simulations. The numerical model is calibrated using the available data for 48 years from 1957 to 2004. The formulae of sediment transport function, Manning’s roughness coefficient, computational increment and fall velocity have been identified for getting the best estimation of the Sakuma Dam reservoir sedimentation. Combination of obtained sensitive parameters and erodible limits of 2 m gave the best comparison with the measured bed profile. The computed results follow the trend of measured data with a small underestimation. Although Manning’s roughness coefficient has an effect on the sedimentation, no direct relation is found between the Manning’s roughness coefficient and reservoir sedimentation. It is found that the temperature of water has no effect on the reservoir sedimentation.

Keywords: Reservoir sedimentation; Numerical modeling; HEC-RAS; Tenryu River; Hiraoka Dam; Sakuma Dam (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11069-018-3168-4

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