Coseismic landslides induced by the 2018 Mw6.6 Iburi, Japan, Earthquake: spatial distribution, key factors weight, and susceptibility regionalization

被引:28
作者
Chang, Ming [1 ,2 ]
Zhou, Yu [1 ]
Zhou, Chao [1 ]
Hales, Tristram C. [2 ]
机构
[1] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China
[2] Cardiff Univ, Sch Earth & Ocean Sci, Cardiff, Wales
基金
中国国家自然科学基金;
关键词
Coseismic landslides; Spatial distribution; Key factors weight; Susceptibility regionalization; LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; DISTRIBUTION PATTERN; LUSHAN EARTHQUAKE; HAZARD; CHINA; AREA; SICHUAN; GIS; HOKKAIDO;
D O I
10.1007/s10346-020-01522-3
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
This research aims to explore detailed spatial distribution characteristics, identify key factors weight, and establish an accurate susceptibility regionalization model of coseismic landslides by the Mw 6.6 Iburi, Japan, earthquake sequence of 6 September 2018. Based on the remote sensing interpretation database, 5,977 individual coseismic landslides were delineated, which occupies an area of about 15.26 km(2). The relationship between eight key factors and spatial distribution of coseismic landslides were precisely analyzed by the landslide area density (LAD) and landslide point density (LPD) curves. In order to obtain the weight of eight key factors more accurately, this paper compares the similarities and differences of the two curves in the earthquakes with similar magnitude, which was included the Lushan and Jiuzhaigou earthquake in China. According to the weight of eight key factors, the improved weight of evidence method was used to produce the susceptibility regionalization map of coseismic landslides in the Iburi earthquake. The results show that the improved weight of evidence method has better precision and can provide a scientific coseismic landslides susceptibility regionalization map for disaster prevention and mitigation in the Iburi earthquake.
引用
收藏
页码:755 / 772
页数:18
相关论文
共 60 条
  • [1] Agterberg FP., 1992, NONRENEW RESOUR, V1, P39, DOI [DOI 10.1007/BF01782111, 10.1007/BF01782111]
  • [2] The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
    Ayalew, L
    Yamagishi, H
    [J]. GEOMORPHOLOGY, 2005, 65 (1-2) : 15 - 31
  • [3] Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan
    Ayalew, Lulseged
    Yamagishi, Hiromitsu
    Ugawa, Norimitsu
    [J]. LANDSLIDES, 2004, 1 (01) : 73 - 81
  • [4] Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
    Binh Thai Pham
    Prakash, Indra
    Singh, Sushant K.
    Shirzadi, Ataollah
    Shahabi, Himan
    Thi-Thu-Trang Tran
    Dieu Tien Buig
    [J]. CATENA, 2019, 175 : 203 - 218
  • [5] Seismically induced landslide hazard and exposure modelling in Southern California based on the 1994 Northridge, California earthquake event
    Budimir, M. E. A.
    Atkinson, P. M.
    Lewis, H. G.
    [J]. LANDSLIDES, 2015, 12 (05) : 895 - 910
  • [6] Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau
    Cao, Juan
    Zhang, Zhao
    Wang, Chenzhi
    Liu, Jifu
    Zhang, Liangliang
    [J]. CATENA, 2019, 175 : 63 - 76
  • [7] Hazard assessment of a catastrophic mine waste debris flow of Hou Gully, Shimian, China
    Chang, Ming
    Liu, Yang
    Zhou, Chao
    Che, Hongxiao
    [J]. ENGINEERING GEOLOGY, 2020, 275
  • [8] Hazard assessment of debris flows in the Wenchuan earthquake-stricken area, South West China
    Chang, Ming
    Tang, Chuan
    Van Asch, Th. W. J.
    Cai, Fei
    [J]. LANDSLIDES, 2017, 14 (05) : 1783 - 1792
  • [9] Cytosolic acetyl-CoA promotes histone acetylation predominantly at H3K27 in Arabidopsis
    Chen, Chen
    Li, Chenlong
    Wang, Ying
    Renaud, Justin
    Tian, Gang
    Kambhampati, Shrikaar
    Saatian, Behnaz
    Vi Nguyen
    Hannoufa, Abdelali
    Marsolais, Frederic
    Yuan, Ze-Chun
    Yu, Kangfu
    Austin, Ryan S.
    Liu, Jun
    Kohalmi, Susanne E.
    Wu, Keqiang
    Huang, Shangzhi
    Cui, Yuhai
    [J]. NATURE PLANTS, 2017, 3 (10) : 814 - 824
  • [10] Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
    Chen, Wei
    Zhao, Xia
    Shahabi, Himan
    Shirzadi, Ataollah
    Khosravi, Khabat
    Chai, Huichan
    Zhang, Shuai
    Zhang, Lingyu
    Ma, Jianquan
    Chen, Yingtao
    Wang, Xiaojing
    Bin Ahmad, Baharin
    Li, Renwei
    [J]. GEOCARTO INTERNATIONAL, 2019, 34 (11) : 1177 - 1201