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JDR Vol.11 No.6 pp. 1073-1081
(2016)
doi: 10.20965/jdr.2016.p1073

Paper:

Numerical Model for Bank Erosion in the Brahmaputra River

Robin K. Biswas*,**,†, Atsuhiro Yorozuya**, and Shinji Egashira**

*Disaster Management Program (DMP), National Graduate Institute for Policy Studies (GRIPS)
7-22-1 Roppongi, Minato-ku, Tokyo 106-8677, Japan

Corresponding author,

**International Centre for Water Hazard and Risk Management (ICHARM),
Public Works Research Institute (PWRI), Ibaraki, Japan

Received:
July 4, 2016
Accepted:
October 3, 2016
Published:
December 1, 2016
Keywords:
2D depth integrated model, bank erosion, stretchable grids, suspended sediment, brahmaputra river
Abstract

A method is proposed to predict bank erosion and sand bar migration in river reaches where suspended sediment transport is dominant. The method focuses on the influence of the lateral bed slope on the erosion and deposition rate of suspended sediment, as well as on the profile of lateral bedload transport, assuming that geometric similarity holds in the bank region. In the proposed model, the erosion and deposition rate can be evaluated using either the bed shear stress at a reference location or the average bed shear stress in the bank region. In order to simulate bank erosion and associated bank shifting with a depth-integrated-base treatment, stretchable grids were added to the conventional coarse grid system near the bank. The proposed method, including the bank erosion model, is applied to the lower reach of the Brahmaputra River, which is ∼90 km long and ∼12.50 km wide. The computed results on bank shifting, sand bar migration, and sediment transport rates are compared with data obtained from field investigations and remote sensing. These results suggest that the proposed method is applicable for predicting sediment issues in river reaches dominated by suspended sediment.

Cite this article as:
R. Biswas, A. Yorozuya, and S. Egashira, “Numerical Model for Bank Erosion in the Brahmaputra River,” J. Disaster Res., Vol.11, No.6, pp. 1073-1081, 2016.
Data files:
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Last updated on Dec. 07, 2018