Articles | Volume 11, issue 6
https://doi.org/10.5194/esurf-11-1183-2023
https://doi.org/10.5194/esurf-11-1183-2023
Research article
 | 
20 Nov 2023
Research article |  | 20 Nov 2023

Method to evaluate large-wood behavior in terms of the convection equation associated with sediment erosion and deposition

Daisuke Harada and Shinji Egashira

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Cited articles

Benda, L. E. and Sias, J. C.: A quantitative framework for evaluating the mass balance of in-stream organic debris, Forest Ecol. Manag., 172, 1–16, https://doi.org/10.1016/S0378-1127(01)00576-X, 2003. 
Chen, X., Hirakawa, R., and Ohmoto, T.: Numerical Analysis of Effect of Bridge on Inundation Flow in the Kagetsu River on July 2017, International Journal of Environmental Protection and Policy, 6, 78–84, https://doi.org/10.11648/j.ijepp.20180604.12, 2018. 
Comiti, F., Lucía, A., and Rickenmann, D.: Large wood recruitment and transport during large floods: a review, Geomorphology, 269, 23–39, https://doi.org/10.1016/j.geomorph.2016.06.016, 2016. 
Egashira, S. and Ashira, K.: Studies on the Structures of Density Stratified Flows, Bulletin of the Disaster Prevention Research Institute, Kyoto University, 29, 165–198, 1980. 
Egashira, S. and Matsuki, T.: A method of predicting sediment runoff caused by erosion of stream channel bed, Annual Journal of Hydraulics Engineering, Japan Society of Civil Engineers, 44, 735–740, 2000 (in Japanese). 
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Short summary
This paper proposes a method for describing large-wood behavior in terms of the convection equation and the storage equation, which are associated with active sediment erosion and deposition. Compared to the existing Lagrangian method, the proposed method can easily simulate the behavior of large wood in the flow field with active sediment transport. The method is applied to the flood disaster in the Akatani River in 2017, and the 2-D flood flow computations are successfully performed.