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Numerical modeling of the Sakuma Dam reservoir sedimentation

Natural Hazards volume 91, pages 1075–1096 (2018)Cite this article

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.

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Abbreviations

A :

Cross-sectional area

h :

Depth of flow

Q :

Flow rate

Q s :

Sediment transport rate of size class i

V :

Average channel velocity

S f :

Energy slope

d :

Representative particle diameter

s f :

Particle shape factor

d i :

Geometric mean diameter of particles in size class i

T :

Temperature of water

λ :

Bed porosity

\( \partial \eta \) :

Change in bed level

x :

Streamwise coordinate

t :

Time step

Δx :

Spatial step

η :

Bed elevation

f :

Dependent variable

α :

Weighting factor

a :

Length of particle along the longest axis perpendicular to the other two axes

b :

Length of particle along the intermediate axis perpendicular to the other two axes

c :

Length of particle along the short axis perpendicular to other two axes

j, k :

Grid coordinates

n :

Manning’s roughness coefficient

q l :

Volumetric rate of lateral inflow or outflow per unit length of the channel

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Author notes

  1. Debasish Pal

    Present address: Engineering Systems and Design Pillar, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore

Authors and Affiliations

  1. Department of Civil Engineering, IIT Kharagpur, Kharagpur, West Bengal, 721302, India

    Prashanth Reddy Hanmaiahgari, Nooka Raju Gompa & Debasish Pal

  2. School of Engineering, Faculty of Engineering and Informatics, University of Bradford, Bradford, BD7 1DP, UK

    Jaan Hui Pu

Authors
  1. Prashanth Reddy Hanmaiahgari
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  2. Nooka Raju Gompa
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  3. Debasish Pal
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  4. Jaan Hui Pu
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Correspondence to Prashanth Reddy Hanmaiahgari.

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Hanmaiahgari, P.R., Gompa, N.R., Pal, D. et al. Numerical modeling of the Sakuma Dam reservoir sedimentation. Nat Hazards 91, 1075–1096 (2018). https://doi.org/10.1007/s11069-018-3168-4

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