CHENG B, YANG G L, QIN Y G,et al.Disaster susceptibility evaluation in typical red-bed areas based on  CF-LR coupling method：A case study of Chishui City[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(6):51-60.

doi:10.16186/j.cnki.1673-9787.2021060082

Received:2021/06/22

Revised:2021/08/04

Published:2023/11/25

Disaster susceptibility evaluation in typical red-bed areas based on  CF-LR coupling method：A case study of Chishui City

CHENG Bin1, YANG Genlan1, QIN Yigen2, HUANG Kaijie1, SHI Wenbing1, YI Qingbo3, WU Yunwu4

1.College of Resource and Environment Engineering，Guizhou University，Guiyang  550025，Guizhou，China;2.Guangdong Provincial Key Lab of Geodynamics and Geohazards，School of Earth Science and Engineering，Sun Yat-Sen University，Guangzhou  510000，Guangdong，China;3.Power China Guiyang Engineering Corporation Co.，Ltd.，Guiyang  550081，Guizhou，China;4.Guizhou Kaiyang Economic Development Industry Investment and Development Co.，Ltd.，Guiyang  550300，Guizhou，China

Abstract:To explore the relationship between geological hazards and weathering regulation in red-bed areas，Chishui City，a typical red-bed area in Guizhou Province，was selected as the research area.Eight influencing factors were selected，including solar radiation，elevation，slope，stratigraphic distribution，rainfall，NDVI，road buffer and topographic relief，and Pearson correlation coefficient was introduced to analyze the covariance of the selected influencing factors.The CF model，LR model and the coupling model of CF and LR were used to analyze the geological hazard susceptibility on GIS platform，and the accuracy of the three models was tested by ROC curve method.The results show that the AUC values（offline area） of the three models are 0.854，0.875，and 0.905，respectively.Among them，the coupled model has the highest AUC value，indicating higher evaluation accuracy of the coupled model and more accurate zoning of disaster susceptibility.The research results can provide reference for the prevention of geological disasters in Chishui City and the evaluation of geological disaster susceptibility in the red-bed areas.

Key words:deterministic coefficient model;logistic regression model;vulnerability evaluation;red-bed;solar radiation;Pearson correlation coefficient

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