Geological hazard susceptibility evaluation in Wenchuan area based on three models of multivariate instability index analysis

BI Hongji; NIE Lei; ZENG Chao; FAN Chen; ZHOU Tianlun; LIU Xiao

doi:10.16031/j.cnki.issn.1003-8035.2022.01-15

2022 Vol. 33, No. 1

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Article navigation > The Chinese Journal of Geological Hazard and Control > 2022 > 33(1): 123-131

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BI Hongji, NIE Lei, ZENG Chao, FAN Chen, ZHOU Tianlun, LIU Xiao. Geological hazard susceptibility evaluation in Wenchuan area based on three models of multivariate instability index analysis[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(1): 123-131. doi: 10.16031/j.cnki.issn.1003-8035.2022.01-15

Citation:

BI Hongji, NIE Lei, ZENG Chao, FAN Chen, ZHOU Tianlun, LIU Xiao. Geological hazard susceptibility evaluation in Wenchuan area based on three models of multivariate instability index analysis[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(1): 123-131. doi: 10.16031/j.cnki.issn.1003-8035.2022.01-15

Geological hazard susceptibility evaluation in Wenchuan area based on three models of multivariate instability index analysis

1.
Three Gorges Research Center for Geohazard of Ministry of Education, China University of Geosciences (Wuhan), Wuhan, Hubei　430074, China
2.
Zhongjiao Second Highway Survey and Design Research Institute, Wuhan, Hubei　430056, China

More Information

Corresponding author: LIU Xiao, liuxiao@china.com

Received Date: 14 December 2020

Revised Date: 11 March 2021

Publish Date: 25 February 2022

Abstract

Abstract

A derived model of multivariate instability index analysis method was proposed to evaluate the susceptibility of geological disasters in Wenchuan County. Based on the data of potential geological hazards in Wenchuan County released by Sichuan Provincial Department of Natural Resources, six influencing factors including slope, aspect, stratum lithology, distance from fault, vegetation coverage and distance from water system are involved. Three different methods of multivariate instability index analysis, namely power multiplication, linear accumulation and power accumulation, are used to obtain the geological disaster susceptibility zoning map of the study area Receiver Operating Characteristic (ROC) curve verifies the evaluation performance of various models. The results show that: (1) for this case, the power multiplication model has the highest accuracy compared with the other two models; (2) the percentages of area with different susceptibility levels, i.e. very high, high, moderate, low, and very low, are 19.3%, 24.6%, 19.2%, 19.3%, 17.6% respectively, moreover, the higher level of susceptibility, the closer to the fault zones. This research provides theoretical and technical reference for the prevention and mitigation of regional geological disasters.
- geographic information system (GIS) /
- geological hazard susceptibility /
- Wenchuan County /
- multivariate instability index analysis

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References

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