Geological hazard susceptibility evaluation based on CF and CF-LR model

Shuiyun TU; Zhongyuan ZHANG; Hongliu FU; Shiguang XU; Mingguo DENG; Lichun HE; Jinyu LIU

doi:10.16031/j.cnki.issn.1003-8035.2022.02-12

Volume 33 Issue 2

Apr. 2022

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The Chinese Journal of Geological Hazard and Control > 2022 > 33(2): 96-104. > DOI: 10.16031/j.cnki.issn.1003-8035.2022.02-12

TU Shuiyun, ZHANG Zhongyuan, FU Hongliu, et al. Geological hazard susceptibility evaluation based on CF and CF-LR model[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(2): 96-104. DOI: 10.16031/j.cnki.issn.1003-8035.2022.02-12

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Geological hazard susceptibility evaluation based on CF and CF-LR model

Shuiyun TU^{1, 2,},
Zhongyuan ZHANG^{1, 2, ,},
Hongliu FU³,
Shiguang XU^{1, 2},
Mingguo DENG²,
Lichun HE^{1, 2},
Jinyu LIU^{1, 2}

1.
Yunnan Geological and Mineral Engineering Exploration Group Company, Kunming, Yunnan　650000, China
2.
School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan　650000, China
3.
Natural Resources Bureau of Tongren City, Tongren , Guizhou　554300, China

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Received Date: April 25, 2021
Revised Date: June 02, 2021
Available Online: March 22, 2022

Graphical Abstract

Abstract

Abstract

The evaluation of regional geological disaster susceptibility is of great significance to the prevention and control of geological disasters. This paper takes Yanhe County in Guizhou Province as the research area, and considers 9 factors including altitude, slope, aspect, terrain curvature, NDVI, engineering geological rock formations, faults, roads, and water systems as evaluation factors. The CF model and the CF-LR model were used to evaluate the susceptibility of geological disasters in Yanhe County. The results show that the frequency ratio between the CF model and the CF-LR model of geological hazard susceptibility levels increases significantly from low-prone areas to extremely high-prone areas, which effectively evaluates the susceptibility of geological hazards in Yanhe County; the CF-LR model compares The AUC value of the CF model is increased by 0.096, and the CF-LR model has a higher evaluation accuracy.
- GIS,
- certainty coefficient,
- logistic regression,
- susceptibility to geological disasters,
- Yanhe County

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