The Dynamic Process and Sensitivity Analysis for Debris Flow

Author(s):  
Guoqiang Yu ◽  
Maosheng Zhang ◽  
Hong Chen
2021 ◽  
Vol 14 (1) ◽  
pp. 1-11
Author(s):  
Maurício A. PAIXÃO ◽  
Masato KOBIYAMA ◽  
Masaharu FUJITA ◽  
Kana NAKATANI

2017 ◽  
Vol 49 (3) ◽  
pp. 373-390 ◽  
Author(s):  
Qiang Zou ◽  
Gordon G. D. Zhou ◽  
Shusong Li ◽  
Chaojun Ouyang ◽  
Jinbo Tang

2011 ◽  
Vol 261-263 ◽  
pp. 1124-1128
Author(s):  
Yun Yun Fan ◽  
Li Liang ◽  
En Zhi Wang ◽  
Si Jing Wang

Debris flow has a very strong destructive power which can cause a great loss of human lives and belongings, so for the purpose of a better disaster prevention and reduction, it is necessary to strengthen the knowledge about the characteristics and regulations of the motion process of debris flow. In order to analyze debris flow entrainment of path material and the influence of the distribution of entrainment zone on the dynamic process of debris flow, the numerical simulation of debris flow dynamic process of different entrainment zones is achieved by combining the theory of SH granular flow and the method of finite volume discretization. The calculation results show that due to energy loss and momentum transfer, the overall speed of debris flow is decreased and the part flow depth increased, but when the entrainment zone is at high position, the entrainment happens early, and the after-entrainment acceleration is more significant, so the mass increased by the entrainment will cause a larger disaster zone and a stronger destruction.


2014 ◽  
Vol 11 (3) ◽  
pp. 634-643 ◽  
Author(s):  
Cui Du ◽  
Ling-kan Yao ◽  
Subhashsagar Shakya ◽  
Lun-gui Li ◽  
Xiao-dan Sun

2020 ◽  
Author(s):  
Gerardo Zegers ◽  
Pablo A. Mendoza ◽  
Alex Garces ◽  
Santiago Montserrat

Abstract. Over the past decades, several numerical models have been developed to understand, simulate and predict debris flow events. Typically, these models simplify the complex interactions between water and solids using a single-phase approach and different rheological models to represent flow resistance. In this study, we perform a sensitivity analysis on the parameters of a debris flow numerical model (FLO-2D) for a suite of relevant variables (i.e., maximum flood area, maximum flow velocity, maximum flow velocity, deposit volume). Our aims are to (i) examine the degree of model overparameterization, and (ii) assess the effectiveness of observational constraints to improve parameter identifiability. We use the Distributed Evaluation of Local Sensitivity Analysis (DELSA) method, which is a hybrid local-global technique. Specifically, we analyze two creeks in northern Chile that were affected by debris flows on March 25, 2015. Our results show that SD and β1 – a parameter related to viscosity – provide the largest sensitivities. Further, our results demonstrate that equifinality is present in FLO-2D, and that final deposited volume and maximum flood area contain considerable information to identify model parameters.


2022 ◽  
Author(s):  
Yao Shunyu ◽  
Nazir Ahmed Bazai ◽  
Tang Jinbo ◽  
Jiang Hu ◽  
Yi Shujian ◽  
...  

2016 ◽  
Vol 37 (2) ◽  
pp. 132-152 ◽  
Author(s):  
Qiang Zou ◽  
Peng Cui ◽  
Chao Zeng ◽  
Jianxi Tang ◽  
Amar Deep Regmi

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