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Landslide susceptibility assessment of the region affected by the 25 April 2015 Gorkha earthquake of Nepal

查看全文 作　　者：Amar Deep [1]Regmi;Megh Raj [2]Dhital;ZHANG Jian-[1]qiang;SU Li-[1]jun;CHEN Xiao-[1]qing 高影响力作者 机构地区：[1]Key Laboratory of Mountain Hazards and Earth Surface Process,Institute of Mountain Hazards and Environment,CAS,Chengdu 610041,China;[2]Central Department of Geology,Tribhuvan University,Kirtipur 44613,Nepal高影响力机构 出　　处：《Journal of Mountain Science》索引2016年第13卷第11期,共17页高影响力期刊 基　　金：the Chinese Academy of Sciences Presidents International Fellowship Initiative(Grant No.2015PEO23);External Cooperation Program of BIC,15 Chinese Academy of Sciences(Grant No.131551KYSB20150009);hundred talents program of Chinese Academy of Sciences(Su Lijun)for supporting for this research 摘　　要：Nepal was hit by a 7.8 magnitude earthquake on 25^(th) April,2015.The main shock and many large aftershocks generated a large number of coseismic landslips in central Nepal.We have developed a landslide susceptibility map of the affected region based on the coseismic landslides collected from remotely sensed data and fieldwork,using bivariate statistical model with different landslide causative factors.From the investigation,it is observed that most of the coseismic landslides are independent of previous landslides.Out of 3,716 mapped landslides,we used 80% of them to develop a susceptibility map and the remaining 20% were taken for validating the model.A total of 11 different landslide-influencing parameters were considered.These include slope gradient,slope aspect,plan curvature,elevation,relative relief,Peak Ground Acceleration(PGA),distance from epicenters of the mainshock and major aftershocks,lithology,distance of the landslide from the fault,fold,and drainage line.The success rate of 87.66% and the prediction rate of86.87% indicate that the model is in good agreement between the developed susceptibility map and theexisting landslides data.PGA,lithology,slope angle and elevation have played a major role in triggering the coseismic mass movements.This susceptibility map can be used for relocating the people in the affected regions as well as for future land development. 关 键 词：地震 HIMALAYA Coseismic 山崩 危险性 bivariate 统计模型 尼泊尔
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