首页|Investigating the reactivation of historical landslides during the 2022 Luding MS6.8 earthquake

Investigating the reactivation of historical landslides during the 2022 Luding MS6.8 earthquake

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On September 5,2022,a strong earthquake with a magnitude of MS6.8 struck Luding County in Sichuan Province,China,triggering thousands of landslides along the Dadu River in the northwest-southeast(NW-SE)direction.We investigated the reactivation characteristics of historical landslides within the epicentral area of the Luding earthquake to identify the initiation mechanism of earthquake-induced landslides.Records of the two newly triggered and historical landslides were analyzed using manual and threshold methods;the spatial distribution of landslides was assessed in relation to topographical and geological factors using remote sensing images.This study sheds light on the spatial distribution patterns of landslides,especially those that occur above historical landslide areas.Our results revealed a similarity in the spatial distribution trends between historical landslides and new ones induced by earthquakes.These landslides tend to be concentrated within a range of 0.2 km from the river and 2 km from the fault.Notably,both rivers and faults predominantly influenced the reactivation of historical landslides.Remarkably,the reactivated landslides are characterized by their small to medium size and are predominantly situated in historical landslide zones.The number of reactivated landslides surpassed that of previously documented historical landslides within the study area.We provide insights into the critical factors responsible for historical landslides during the 2022 Luding earthquake,thereby enhancing our understanding of the potential implications for future co-seismic hazard assessments and mitigation strategies.

Luding earthquakeco-seismic landslideshistorical landslidesspatial distributionlandslide reactivation

Tao Wei、Mingyao Xia、Xinxin Zhang、Shaojian Qi

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State Key Laboratory of Geo-Hazard Prevention and Geo-Environment Protection,Chengdu University of Technology,Chengdu 610059,China

National Key R&D Program of ChinaNational Natural Science Foundation of ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project

2022YFF080060442207-224SKLGP2022Z021

2024

10.1016/j.eqs.2024.03.002

地震学报(英文版)
中国地震学会

地震学报(英文版)

影响因子：0.255
ISSN：1000-9116
年,卷(期)：2024.37(3)
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