Spatial distribution patterns and hazard assessment of co-seismic landslides triggered by the 2022 Luding earthquake(M_(S) 6.8):An RF-AdaBoost model approachOA
On September 5,2022,a magnitude 6.8 earthquake struck Luding County,Sichuan Province,China,at a depth of 16 km,triggering numerous co-seismic landslides.Using multi-temporal satellite imagery,the authors identified 7463 co-seismic landslides with varying spatial distributions.Focusing on the differences between the western and eastern sections of the Xianshuihe fault zone,the influences of elevation,slope,aspect,topographic wetness index(TWI),stream power index(SPI),distance to river,distance to seismogenic fault,seismic intensity,lithology,and land surface temperature(LST)on the coseismic landslide distribution were analyzed.Random Forest-Adaptive Boosting(RF-AdaBoost),Support Vector Machine(SVM)and Back Propagation Neural Network(BP)models were used to assess landslide hazards in the region.The RF-AdaBoost model performed the best,achieving an Area Under the Curve(AUC)of 0.954.The zones of high co-seismic landslide hazard were primarily concentrated along the Xianshuihe fault zone and Dadu River.These findings provide valuable insights into seismic landslide hazard assessments and offer scientific guidance for disaster prevention and mitigation strategies.
Li-ying Gu;Guo-liang Du;Ling Zou;Xin Wang
School of Urban Geology and Engineering,Hebei GEO University,Shijiazhuang 050031,China Hebei Technology Innovation Center for Intelligent Development and Control of Underground Built Environment,Shijiazhuang 050031,ChinaSchool of Urban Geology and Engineering,Hebei GEO University,Shijiazhuang 050031,China Key Laboratory of Intelligent Detection and Equipment for Underground Space of Beijing-Tianjin-Hebei Urban Agglomeration,Ministry of Natural Resources,Shijiazhuang 050031,ChinaSchool of Urban Geology and Engineering,Hebei GEO University,Shijiazhuang 050031,China Hebei Technology Innovation Center for Intelligent Development and Control of Underground Built Environment,Shijiazhuang 050031,ChinaSchool of Urban Geology and Engineering,Hebei GEO University,Shijiazhuang 050031,China Hebei Technology Innovation Center for Intelligent Development and Control of Underground Built Environment,Shijiazhuang 050031,China
天文与地球科学
Luding earthquake(M_(S) 6.8)Co-seismic landslides(7463)Landslide distributionMulti-temporal satellite imageryRF-AdaBoost modelSVM modelBP modelHazard assessmentXianshuihe fault zoneGeological disaster prevention and control engineering
《China Geology》 2026 (2)
P.349-365,17
supported by the National Natural Science Foundation of China(42277166,41941017)Science Research Project of Hebei Education Department(ZD2022094)Outstanding Youth Science Fund of Hebei GEO University(JQ202401).
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