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Earth Science Informatics

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05.11.2020 | Research Article

Landslides triggered by the 6 September 2018 Mw 6.6 Hokkaido, Japan: an updated inventory and retrospective hazard assessment

verfasst von: Yulong Cui, Pengpeng Bao, Chong Xu, Siyuan Ma, Jun Zheng, Gui Fu

Erschienen in: Earth Science Informatics | Ausgabe 1/2021

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Abstract

On September 6, 2018, an Mw 6.6 earthquake occurred in Hokkaido, Japan, triggering massive landslides. Based on the 0.3 m-resolution Pleiades-1 satellite image on the Google Earth platform, we constructed an updated co-seismic landslide inventory for this event, which permitted to map 12,586 landslides. These slope failures are featured by a large number, wide spread, large scales, and local dense distribution. Considering nine influence factors, i.e. elevation, slope angle, slope aspect, curvature, distance to road, distance to river, distance to the epicenter, lithology, and topography, the logistic regression model was applied to carry out a retrospective hazard assessment of earthquake-triggered landslides in the affected area, and the rationality of such prediction was verified by the real landslides mapped. Results show that the landslide hazard evaluation map is in good agreement with the actual landslide distribution. The success rate of the hazard assessment map is 87.0% compared to training samples, and 86.5% compared to testing samples, respectively. The updated landslide inventory is a useful complement to the existing landslide inventory maps and the landslide hazard assessment map is helpful for landslide disaster prevention and reduction and reconstruction planning in the affected area.

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Active Fault Research Group (1991) Active faults in Japan: sheet maps and inventories (Revised Edition). Tokyo, University of Tokyo Press

Arita K, Ikawa T, Ito T, Yamamoto A, Saito M, Nishida Y, Satoh H, Kimura G, Watanabe T, Ikawa T (1998) Crustal structure and tectonics of the Hidaka collision zone, Hokkaido (Japan), revealed by vibroseis seismic reflection and gravity surveys. Tectonophysics 290(3–4):197–210CrossRef

Bender R, Grouven U (1998) Using binary logistic regression models for ordinal data with non-proportional odds. J Clin Epidemiol 51(10):809–816CrossRef

Chang M, Tang C, Xia C, Fang Q (2016) Spatial distribution analysis of landslides triggered by the 2013-04-20 Lushan earthquake, China. Earthq Eng Eng Vib 15(1):163–171CrossRef

Chen Y (2009) Earthquake prediction: retrospect and prospect. Sci China Earth Sci 3912:1633–1658

Cui Y, Deng J, Xu C (2018) Volume estimation and stage division of the Mahu landslide in Sichuan Province, China. Nat Hazards 93(2):941–955CrossRef

Cui Y, Liu A, Xu C, Zheng J (2019) A modified Newmark method for calculating permanent displacement of seismic slope considering dynamic critical acceleration. Adv Civil Eng 2019:1–10

Dai FC, Xu C, Yao X, Xu L, Tu XB, Gong QM (2011) Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China. J Asian Earth Sci 40(4):883–895CrossRef

Guzzetti F, Mondini AC, Cardinali M, Fiorucci F, Santangelo M, Chang K-T (2012) Landslide inventory maps: new tools for an old problem. Earth Sci Rev 112(1–2):42–66CrossRef

Harp EL, Jibson RW (1996) Landslides triggered by the 1994 Northridge, California, earthquake. Bull Seismol Soc Am 86(1B):319–332

Hosmer DW Jr, Lemeshow S, Sturdivant RX (2013) Applied logistic regression. John Wiley Sons 34(3):358–359

Huang R (2009) Mechanism and geomechanical modes of landslide hazards triggered by wenchuan 8.0 earthquake. Chin J Rock Mech Eng 28(6):1239–1249 (in Chinese)

Jolivet L, Miyashita S (1985) The Hidaka shear zone (Hokkaido, Japan): genesis during a right-lateral strike-slip movement. Tectonics 4(3):289–302CrossRef

Kasai M, Yamada T (2019) Topographic efects on frequency-size distribution of landslides triggered by the Hokkaido eastern Iburi earthquake in 2018. Earth Planets Space 71(89):1–12

Kleinbaum DG (2002) Logistic Regression. Springer-Verlag, New York

Lin A, Ren Z, Jia D (2010) Co-seismic ground-shortening structures produced by the 2008 mw 7.9 Wenchuan earthquake, China. Tectonophysics 491(1–4):21–34CrossRef

Ma S, Xu C (2019) Assessment of co-seismic landslide hazard using the Newmark model and statistical analyses: a case study of the 2013 Lushan, China, Mw6.6 earthquake. Nat Hazards 96(1):389–412CrossRef

Ma S, Xu C, Yingying T, Xu X (2019) Application of logistic regression model for hazard assessment of earthquake-triggered landslides: a case study of 2017 Jiuzhaigou(China) M_S7.0 event. Seismol Geol 41(1):162–177

Mathew J, Jha V, Rawat G (2009) Landslide susceptibility zonation mapping and its validation in part of Garhwal lesser Himalaya, India, using binary logistic regression analysis and receiver operating characteristic curve method. Landslides 6(1):17–26CrossRef

Midi H, Sarkar SK, Rana S (2010) Collinearity diagnostics of binary logistic regression model. J Interdisc Math 13(3):253–267CrossRef

Nakata T (2002) Digital active fault map of Japan. University of Tokyo Press, Tokyo

Nam K, Wang F (2019) The performance of using an autoencoder for prediction and susceptibility assessment of landslides: a case study on landslides triggered by the 2018 Hokkaido eastern Iburi earthquake in Japan. Geoenviron Disasters 6(19):1–14

News.163.com (2018) Landslides are triggered, houses and roads are destroyed by the Hokkaido earthquake in Japan. http://news.hebei.com.cn/system/2018/09/06/019091641.shtml. Accessed 6 Sep 2018

Owen LA, Kamp U, Khattak GA, Harp EL, Keefer DK, Bauer MA (2008) Landslides triggered by the 8 October 2005 Kashmir earthquake. Geomorphology 94(1–2):1–9CrossRef

Pham BT, Prakash I (2019) A novel hybrid model of bagging-based naïve bayes trees for landslide susceptibility assessment. Bull Eng Geol Environ 78(3):1911–1925CrossRef

Sato HP, Hasegawa H, Fujiwara S, Tobita M, Koarai M, Une H, Iwahashi J (2007) Interpretation of landslide distribution triggered by the 2005 northern Pakistan earthquake using SPOT 5 imagery. Landslides 4(2):113–122CrossRef

Shao X, Ma S, Xu C, Zhang P, Wen B, Tian Y, Zhou Q, Cui Y (2019) Planet image-based inventorying and machine learning-based susceptibility mapping for the landslides triggered by the 2018 Mw6. 6 Tomakomai, Japan earthquake. Remote Sens 11(8):1–23CrossRef

Tian Y, Xu C, Ma S, Xu X, Wang S, Zhang H (2019) Inventory and spatial distribution of landslides triggered by the 8 august 2017 Mw6.5 Jiuzhaigou earthquake, China. J Earth Sci 30(1):206–217CrossRef

Tsou C-Y, Chigira M, Higaki D, Sato G, Yagi H, Sato HP, Wakai A, Dangol V, Amatya SC, Yatagai A (2017) Topographic and geologic controls on landslides induced by the 2015 Gorkha earthquake and its aftershocks: an example from the Trishuli Valley, Central Nepal. Landslides 15(5):953–965CrossRef

Tsumura N, Ikawa H, Ikawa T, Shinohara M, Ito T, Arita K, Moriya T, Kimura G, Ikawa T (1999) Delamination-wedge structure beneath the Hidaka collision zone, Central Hokkaido, Japan inferred from seismic reflection profiling. Geophys Res Lett 26(8):1057–1060CrossRef

Wang F, Fan X, Yunus AP, Subramanian SS, Alonso-Rodriguez A, Dai L, Xu Q, Huang R (2019) Coseismic landslides triggered by the 2018 Hokkaido, Japan (mw 6.6), earthquake: spatial distribution, controlling factors, and possible failure mechanism. Landslides 16(5):1551–1566CrossRef

Xu C, Xu X (2014) Statistical analysis of landslides caused by the mw 6.9 Yushu, China, earthquake of April 14, 2010. Nat Hazards 72(2):871–893CrossRef

Xu C, Xu X, Dai F, Saraf AK (2012) Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China. Comput Geosci 46(3):317–329CrossRef

Xu C, Xu X, Shyu JBH, Zheng W, Min W (2014a) Landslides triggered by the 22 July 2013 Minxian–Zhangxian, China, mw 5.9 earthquake: inventory compiling and spatial distribution analysis. J Asian Earth Sci 92:125–142CrossRef

Xu C, Xu X, Yao X, Dai F (2014b) Three (nearly) complete inventories of landslides triggered by the may 12, 2008 Wenchuan mw 7.9 earthquake of China and their spatial distribution statistical analysis. Landslides 11(3):441–461CrossRef

Xu C, Ma S, Tan Z, Xie C, Toda S, Huang X (2018a) Landslides triggered by the 2016 Mj 7.3 Kumamoto, Japan, earthquake. Landslides 15(3):551–564CrossRef

Xu C, Y-y T, Shen L-l, Xu X-w, B-g Z, Ma S-y, X-q H, Ma J-x, Chen X (2018b) Database of landslides triggered by 2015 Gorkha (Nepal) Mw7.8 earthquake. Seismol Geol 40(5):1115–1128

Yang DH, Yang DB, Yang XX (2011) The influence of tides and earthquakes in global climate changes. Chin J Geophys 54(4):926–934

Zhang S, Li R, Wang F, Iio A (2019) Characteristics of landslides triggered by the 2018 Hokkaido eastern Iburi earthquake, northern Japan. Landslides 16(6):1691–1708CrossRef

Zhao B, Li W, Wang Y, Lu J, Li X (2019) Landslides triggered by the Ms 6.9 Nyingchi earthquake, China (18 November 2017): analysis of the spatial distribution and occurrence factors. Landslides 16(4):765–776CrossRef

Titel: Landslides triggered by the 6 September 2018 Mw 6.6 Hokkaido, Japan: an updated inventory and retrospective hazard assessment
verfasst von: Yulong Cui
Pengpeng Bao
Chong Xu
Siyuan Ma
Jun Zheng
Gui Fu
Publikationsdatum: 05.11.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Earth Science Informatics / Ausgabe 1/2021
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI: https://doi.org/10.1007/s12145-020-00544-8

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