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Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China

Control of Seismic Landslide Susceptibility

Bibliographic Data

ID22031490
AuthorsXiaoli Chen (0000-0003-0536-1553, Institute of Geology, China Earthquake Administration, corresponding author), Xiao-Li Chen (China Earthquake Administration), Xin-jian Shan (China Earthquake Administration), Xinjian Shan (0000-0002-9383-9424, Institute of Geology, China Earthquake Administration), Mingming Wang (0000-0001-6053-7449, China Earthquake Administration), Ming-ming Wang (Sichuan Earthquake Administration, Chengdu 610041, China), Chun-guo Liu (China Earthquake Networks Center, Beijing 100045, China), Chunguo Liu (0000-0002-0543-7848, National Earthquake Response Support Service), Nana Han (0009-0002-4730-3925, Seismological Bureau of Shanghai), Na-na Han (Seismological Bureau of Shanghai, Shanghai 200062, China)
Year2020
Volume9
Issue4
Pages198
Publication date2020-03-27
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9040198
OpenAlexW3013945539
LanguageEN
Citations received3
References cited26

On 8 August 2017 an earthquake (MS7.0) occurred within Jiuzhaigou County, Northern Aba Prefecture, Sichuan Province, China, triggering 4834 landslides with an individual area greater than 7.8 m2 over a more than 400 km2 region. Instead of correlating geological and topographic factors with the coseismic landslide distribution pattern, this study has attempted to reveal the control from seismic landslide susceptibility mapping, which relies on the calculation of critical acceleration values using a simplified Newmark block model. We calculated the average critical acceleration for each cell of the gridded study area (1 km×1 km), which represented the seismic landslide susceptibility of the cell. An index of the potential landslide area generation rate was defined, i.e., the possible landsliding area in each grid cell. In combination with PGA (peak ground acceleration) distribution, we calculated such indexes for each cell to predict the possible landslide hazard under seismic ground shaking. Results show that seismic landslide susceptibility plays an important role in determining the coseismic landslide pattern. The places with high seismic landslide susceptibility tends to host many landslides. Additionally, the areas with high potential landslide area generation rates have high real landslide occurrence rates, consistent with dominant small-medium scale landslides by this earthquake. This approach can aid assessment of seismic landslide hazards at a preliminary stage. Additionally, it forms a foundation for further research, such as the rapid evaluation of post-earthquake landslides and identifying highly impacted areas to help decision makers prioritize disaster relief efforts

Aftershock · Geomorphology · Ground motion · Landslide · Landslide classification · Peak ground acceleration · Seismic hazard · Seismology · Fire effects on ecosystems · Landslides and related hazards · Tree Root and Stability Studies · Geology

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Citations per year0.6
Citation span2021 - 2022 (2)
Highly citedNo

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