journal article·2025-09-23Open access

Dependence of Coseismic Landslide Distribution Patterns on Fault Movement

Wenping Li, Yuming Wu, Xing Gao, Weimin Wang

Applied Sciences· Volume 15· Issue 19

Abstract

Faults are the primary drivers of earthquakes and exert a strong control on rupture mechanisms, earthquake magnitude, and the spatial distribution of coseismic landslides (CLs). However, how CL spatial distribution patterns vary with faulting style remains poorly constrained. Here, we compiled a catalog of CLs associated with 18 global major earthquakes (MW > 6.0) within continental regions since 1900 and explored the distribution patterns of CLs associated with the three major earthquake types: oblique-slip, dip-slip, and strike-slip. Our results reveal two distinct spatial distribution patterns of CLs: a hanging-wall distribution for oblique-slip and dip-slip earthquakes and a bell-shaped distribution for strike-slip earthquakes. The orientation of CLs is closely related to fault geometry and slip type. Specifically, in oblique-slip, strike-slip, and dip-slip earthquakes, CLs predominantly develop parallel, perpendicular, or perpendicular to the fault strike, respectively. In terms of slip rake, CLs are mainly aligned perpendicular, parallel, and parallel to the fault slip direction for oblique-slip, strike-slip, and dip-slip events, respectively. Importantly, the distribution patterns of CLs encode information about ground movement during an earthquake. While Peak Ground Acceleration (PGA) serves as an indicator of ground motion intensity, a comprehensive characterization of CLs—including their size and predominant movement direction—requires consideration of both the earthquake type and the local slope conditions.
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Research context

OpenAlex topics: Landslides and related hazards · Geotechnical Engineering and Analysis · Dam Engineering and Safety

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Digital Technology and Innovation Research Center for Culture and Tourism, Shanghai Institute of Tourism, Shanghai 201418, China

State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China

Funding

Science and Technology Plan Project of Linzhi, Xizang · Key Project of Innovation LREIS

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