Loughborough University
Browse
Xia et al 2023 An integrated hydrodynamic model for runoff generated debris flows Eng Geol 326.pdf (12.43 MB)

An integrated hydrodynamic model for runoff-generated debris flows with novel formulation of bed erosion and deposition

Download (12.43 MB)
journal contribution
posted on 2024-02-06, 14:12 authored by Xilin Xia, Kristine Thorkildsen JarsveKristine Thorkildsen Jarsve, Tom DijkstraTom Dijkstra, Qiuhua LiangQiuhua Liang, Xingmin Meng, Guan Chen
Debris flow is one of the most common geohazards in mountainous regions, posing significant threats to people, property and infrastructure. Among different types of debris flows, runoff-generated debris flows are attributed to rain storms, which provide abundant runoff that entrain large quantities of bed material, resulting in the formation of a solid-liquid current known as a debris flow. One of the keys to effectively simulating runoff-generated debris flows is modelling the erosion-deposition process. The commonly used approach for formulating erosion and deposition, although constrained by physics, suffers from a singularity in the presence of vanishing velocity, which poses a major challenge for practical applications. It is also argued that the deposition rate cannot be represented by simply reversing the sign of the erosion rate. To address these two issues, we have developed a depth-averaged debris flow model with a novel method of calculating the erosion-deposition rate. We have demonstrated that the singularity is due to the non-linear erosion-deposition term but quickly disappears while the flow converges to the equilibrium that is defined by the classic Takahashi's formula. To resolve the non-linearity and avoid the singularity, an implicit method within a Godunov-type finite volume framework has been proposed. An additional parameter is introduced to differentiate the erosion rate from the deposition rate. The model is validated against several test cases, including a real-world debris flow event. Satisfactory results are obtained, demonstrating the model's simulation capability and potential for wider applications such as risk assessment and impact-based early warning.

Funding

Baskerville: a national accelerated compute resource

Engineering and Physical Sciences Research Council

Find out more...

Baskerville 2.0: Enhanced Provision for High End and On-Demand Users

Engineering and Physical Sciences Research Council

Find out more...

History

School

  • Architecture, Building and Civil Engineering

Published in

Engineering Geology

Volume

326

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Acceptance date

2023-10-02

Publication date

2023-10-05

Copyright date

2023

ISSN

0013-7952

eISSN

1872-6917

Language

  • en

Depositor

Deposit date: 1 February 2024

Article number

107310