TY - JOUR
T1 - Hydrodynamic and topography based cellular automaton model for simulating debris flow run-out extent and entrainment behavior
AU - Han, Zheng
AU - Ma, Yangfan
AU - Li, Yange
AU - Zhang, Hong
AU - Chen, Ningsheng
AU - Hu, Guisheng
AU - Chen, Guangqi
N1 - Funding Information:
This study was financially supported by the National Key R&D Program of China [grant number 2018YFD1100401]; the National Natural Science Foundation of China [grant number 52078493]; the Natural Science Foundation of Hunan Province [grant number 2018JJ3644]; and the Innovation Driven Program of Central South University [grant number 2019CX011]. These financial supports are gratefully acknowledged. We also extend our gratitude to editor Prof. Mark van Loosdrecht, and two nominated reviewers for their insightful comments.
Publisher Copyright:
© 2021 Elsevier Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - As for late, studies have indicated that cellular automaton (CA) models are among the most effective solutions for simulating the extent of debris-flow run-out. However, it is currently difficult to effectively simulate both the inundated area and the erosion pattern of the debris flow process. This difficulty is caused by the lack of detailing regarding debris flow hydrodynamics as the primary concern of most CA-based models is the topographic gradient of the gully. In this study, we propose a two-dimensional Monte Carlo simulation-based CA model with hydrodynamic methods describing debris-flow behavior to address these problems. Herein, a topography function concerning slope gradient and bed roughness, and a persistence function regarding flow inertia, are combined to improve the flow routing algorithm for better determining the run-out extent of debris flow. Hydraulic links and discharge exchange between neighboring cells using sink-filling approach, as well as the bed sediment entrainment function, are incorporated into the CA model to describe the mass migration process along the flow path. To verify the performance of our proposed model, we further select the 2010 Yohutagawa debris flow event in Japan as a case study. The results indicate that the proposed model better simulates the complex dynamic process of debris flow.
AB - As for late, studies have indicated that cellular automaton (CA) models are among the most effective solutions for simulating the extent of debris-flow run-out. However, it is currently difficult to effectively simulate both the inundated area and the erosion pattern of the debris flow process. This difficulty is caused by the lack of detailing regarding debris flow hydrodynamics as the primary concern of most CA-based models is the topographic gradient of the gully. In this study, we propose a two-dimensional Monte Carlo simulation-based CA model with hydrodynamic methods describing debris-flow behavior to address these problems. Herein, a topography function concerning slope gradient and bed roughness, and a persistence function regarding flow inertia, are combined to improve the flow routing algorithm for better determining the run-out extent of debris flow. Hydraulic links and discharge exchange between neighboring cells using sink-filling approach, as well as the bed sediment entrainment function, are incorporated into the CA model to describe the mass migration process along the flow path. To verify the performance of our proposed model, we further select the 2010 Yohutagawa debris flow event in Japan as a case study. The results indicate that the proposed model better simulates the complex dynamic process of debris flow.
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U2 - 10.1016/j.watres.2021.116872
DO - 10.1016/j.watres.2021.116872
M3 - Article
C2 - 33582493
AN - SCOPUS:85100629315
VL - 193
JO - Water Research
JF - Water Research
SN - 0043-1354
M1 - 116872
ER -