首页|Debris Flow Hazard Assessment Using Set Pair Analysis Models: Take Beichuan County as an Example

Debris Flow Hazard Assessment Using Set Pair Analysis Models: Take Beichuan County as an Example

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Assessment of debris flow hazards is important for developing measures to mitigate the loss of life and property and to minimize environmental damage.Two modified uncertainty models,Set Pair Analysis (SPA) and modified Set Pair Analysis (mSPA),were suggested to assess the regional debris flow hazard.A case study was conducted in seven towns of the Beichuan county,Siehuan Province,China,to test and compare the application of these two models in debris flow hazard assessment.The results showed that mSPA only can fit for value-variables,but not for non value-variable assessment indexes,Furthermore,as for a given assessment index xi,mSPA only considers two cases,namely,when grade value increases with xi and when grade value decreases with xi.Thus,mSPA can not be used for debris flow hazard assessment but SPA is credible for the assessment because there are no limitations when using SPA model to assess the debris flow hazard.Therefore,in this study SPA is proposed for assessing debris flow hazard.

Set Pair Analysis (SPA)Modified Set Pair Analysis (mSPA)Debris flowHazard assessmentConnection degree

YANG Feng-guang、LIANG Yue、SINGH Vijay P.、WANG Wen-sheng、ZHOU Xiao-quan、LIU Xing-nian、CAO Shu-you

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State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China

College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, China

Department of Biological and Agricultural Engineering, Texas A & M University, College Station, Texas, 77843-2117, USA

This research was supported by the National Natural Science Foundation of ChinaNew Teacher Fund of Ministry of Education of ChinaExcellent Scholar Fund of Sichuan University and Open Fund Program of State key Laboratory of Hydraulics and River Engineeri

51279116201201811201240901

2014

10.1007/s11629-013-2495-x

山地科学学报(英文版)
中国科学院水利部成都山地灾害与环境研究所

山地科学学报(英文版)

CSCDSCI
影响因子：0.228
ISSN：1672-6316
年,卷(期)：2014.11(4)
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