Prediction of landslide hazards induced by potential earthquake in Litang County, Sichuan, China

Jingjing Jing, Zhijian Wu (), Chengxin Chu, Wanpeng Ding and Wei Ma
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Jingjing Jing: Nanjing Tech University
Zhijian Wu: Nanjing Tech University
Chengxin Chu: Nanjing Tech University
Wanpeng Ding: Nanjing Tech University
Wei Ma: Nanjing Tech University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 118, issue 2, No 19, 1314 pages

Abstract: Abstract The assessment of earthquake-induced landslide hazards is an important prerequisite for disaster prevention and reduction in tectonic active areas. However, few studies have considered the amplification effect of site and topography on ground motion parameters and made the peak ground acceleration (PGA) correction. Based on Newmark's method, taking Litang County, Sichuan Province, China, as the study area, considering the site amplification effect and topographic amplification effect, this paper carried out the assessment of landslide hazards under the action of occasional earthquakes with an exceedance probability of 10% and rare earthquakes with an exceedance probability of 2%. The results show that the hazard of earthquake-induced landslides is higher in the high slopes of loose rock in the middle of Litang County and the steep rock slopes with large topographic relief in the northeast, and low in the southern plateau and central basins. The site and topographic conditions have a significant effect on the nonlinear amplification of PGA, and the corrected PGA is even magnified by 2–3 times in steep mountains. Compared with the occasional earthquakes, the influence of rare earthquakes on the initiation and movement distance of landslides is remarkably improved. This study can provide a valuable reference for potential earthquake-induced landslide hazard assessment and seismic landslide emergency response in Litang County.

Keywords: Earthquake-induced landslide; Landslide hazard; PGA correction; Permanent displacement prediction; Critical acceleration (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-023-06050-6

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