DocumentCode :
3064473
Title :
A Conceptual Framework for Quantitative Estimation of Risk Estimation of Debris Flow
Author :
Zhang, Jing ; Cao, Shuyou ; Guo, Zhixue ; Yang, Fengguang
Author_Institution :
State Key Lab. of Hydraulics & Mountain River Eng., Sichuan Univ., Chengdu, China
fYear :
2012
fDate :
23-26 June 2012
Firstpage :
742
Lastpage :
746
Abstract :
This paper proposed a frame concept of risk estimation related to debris flow process. The term risk is defined as the maximum potential loss of the elements towards debris flow within certain period in defined region. The quantitative estimation of risk related to debris flow process is established, and the concrete procedure to carry out the model is illustrated. According to IUGS, vulnerability is expressed as the expected degree of loss for a given element at risk, or set of elements, within the area affected by a certain event and ranges from 0 (no damage) to 1 (complete destruction). In order to obtain vulnerability curve, experiment methodology and criteria of building damage are provided in this paper. With respect to hazard, momentum is introduced to represent the intensity of hazard rather than deposit height. Physical modeling is suggested to acquire the intensity information. Similarity laws of scale model are discussed with respect to less viscosity debris flow and viscous debris flow.
Keywords :
fracture; geology; geomorphology; geotechnical engineering; hazards; risk analysis; viscosity; IUGS; building damage; debris flow process; hazard intensity; intensity information; loss degree; momentum; physical modeling; quantitative estimation; risk estimation; similarity laws of scale model; viscosity; vulnerability curve; Buildings; Estimation; Hazards; Risk management; Sediments; Terrain factors; Viscosity; debris flow; hazard; risk estimation; vulnerability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
Type :
conf
DOI :
10.1109/CSO.2012.169
Filename :
6274831
Link To Document :
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