Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards

Ming Wang; Min Liu; Saini Yang; Peijun Shi

doi:10.1007/s13753-014-0020-7

Article Contents

Article Navigation > International Journal of Disaster Risk Science > 2014 > 5(2): 125-135

Ming Wang, Min Liu, Saini Yang, Peijun Shi. Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards[J]. International Journal of Disaster Risk Science, 2014, 5(2): 125-135. doi: 10.1007/s13753-014-0020-7

Citation:

Ming Wang, Min Liu, Saini Yang, Peijun Shi. Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards[J]. International Journal of Disaster Risk Science, 2014, 5(2): 125-135. doi: 10.1007/s13753-014-0020-7

Citation:

PDF

Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards

doi: 10.1007/s13753-014-0020-7

Ming Wang^{1,2
,
,},
Min Liu^1,2,
Saini Yang^1,2,
Peijun Shi^1,2

1 State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;
2 Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China

Funds:

This research was supported by the National Natural Science Foundation of China under Grant 41101505 and the International Cooperation Project 2012DFG20710.

Available Online: 2021-04-26

Abstract

Abstract

Pingwu County of Sichuan Province was severely hit by the 12 May 2008 Wenchuan Earthquake and experienced widely distributed earthquake-induced landslides. We proposed an integrated method that incorporates landslide triggering factors embedded in the Newmark displacement computation and other environmental factors, expressed as lithology, land-use type, vegetation cover (Normalized Difference Vegetation Index, NDVI), elevation, and profile and plan curvature, in the analysis of earthquake-induced landslide hazards in the study area. The earthquake-induced landslide inventory of this area was obtained by visual interpretation of two highresolution SPOT-5 images before and after the earthquake. We used GIS tools to generate an equal number of landslide and non-landslide cell samples in a 30-m grid map, and assigned triggering and environmental variables to each cell. A logistic regression model was built to investigate the occurrence of earthquake-induced landslides. The results show that Newmark displacement (in which triggering factors are embedded) and lithology (as an environmental factor) were the two dominant variables controlling landslide occurrence. Other environmental factors, including NDVI, land-use type, and elevation, also significantly affected landslide occurrences. Overall 81.2 % correctness was achieved in the regression model. The results confirm the predictive power of our method, which integrates both triggering and environmental factors in modeling earthquake-induced landslides.
- Earthquake-induced landslides,
- Environmental factors,
- Triggering factors,
- Hazard analysis,
- Newmark displacement,
- Wenchuan earthquake

FullText(HTML)

References(47)

References

Arias, A. 1970. A measure of earthquake intensity. In Seismic design for nuclear power plants, ed. R.J. Hansen, 438-483. Cambridge:Massachussetts Institute of Technology Press.

Ayalew, L., and H. Yamagishi. 2005. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, central Japan. Geomorphology 65(1-2):15-31.

Baeza, C., and J. Corominas. 2001. Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth Surface Processes and Landforms 26(12):1251-1263.

Bai, S.B., J. Wang, G.N. Lü, P.G. Zhou, S.S. Hou, and S.N. Xu. 2010. GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China. Geomorphology 115(1-2):23-31.

Carrara, A. 1983. Multivariate models for landslide hazard evaluation. Mathematical Geology 15(3):403-426.

China Institute of Geo-Environment Monitoring. 2009. An image-based study on typical geological hazards caused by Wenchuan Earthquake. Beijing:Geological Publishing House (in Chinese).

Chinese Academy of Sciences. n.d. International Scientific Data Service Platform. http://www.cnic.cn/zcfw/sjfw/gjkxsjjx/. Accessed May 2014.

Choi, J., H.J. Oh, H.J. Lee, C. Lee, and S. Lee. 2012. Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS. Engineering Geology 124:12-23.

Cruden, D.M. 1991. A simple definition of a landslide. Bulletin of the International Association of Engineering Geology 43(1):27-29.

Duman, T.Y., T. Can, C. Gokceoglu, H.A. Nefeslioglu, and H. Sonmez. 2006. Application of logistic regression for landslide susceptibility zoning of Cekmece area, Istanbul, Turkey. Environment Geology 51(2):241-256.

FEMA (Federal Emergency Management Agency). 2003. Multi-hazard loss estimation methodology earthquake model HAZUS-MH MR3 technical manual. Washington, DC:FEMA.

García-Rodríguez, M.J., and J.A. Malpica. 2010. Assessment of earthquake-triggered landslide susceptibility in El Salvador based on an artificial neural network model. Natural Hazards and Earth System Sciences 10(6):1307-1315.

García-Rodríguez, M.J., J.A. Malpica, B. Benitoa, and M. Díaz. 2008. Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression. Geomorphology 95(3):172-191.

Hasegawa, S., A. Nonomur, R.K. Dahal, T. Yuichi, M. Haruki, and R. Yatabe. 2008. Geomorphological approach for earthquake-induced landslides study. Proceedings of the International Conference on Disasters and Development, 94-105. http://www.academia.edu/753464/Geomorphological_approach_for_earthquake-induced_landslides_study. Accessed 19 May 2014.

Hsieh, S.Y., and C.T. Lee. 2011. Empirical estimation of the Newmark displacement from the Arias intensity and critical acceleration. Engineering Geology 122(1-2):34-42.

Huang, R.Q., and W.L. Li. 2008. Research on development and distribution rules of geohazards induced by Wenchuan Earthquake on 12th May, 2008. Chinese Journal of Rock Mechanics and Engineering 27(12):2585-2592 (in Chinese).

Jaiswal, P., C. van Westen, and V. Jetten. 2011. Quantitative assessment of landslide hazard along transportation lines using historical records. Landslides 8(3):279-291.

Jibson, R.W. 1993. Predicting earthquake-induced landslide displacements using Newmark's sliding block analysis. Transportation Research Record 1411:9-17.

Jibson, R.W., E.L. Harp, and J.A. Michael. 1998. A method for producing digital probabilistic seismic landslide hazard maps:An example from the Los Angeles California area. US Geological Survey Open-File Report 98-113. http://pubs.usgs.gov/of/1998/ofr-98-113/ofr-98-113.pdf. Accessed May 2014.

Jibson, R.W., E.L. Harp, and J.A. Michael. 2000. A method for producing digital probabilistic seismic landslide hazard maps. Engineering Geology 58(3-4):271-289.

Keefer, D.K. 1984a. Landslides caused by earthquakes. Geological Society of America Bulletin 95:406-421.

Keefer, D.K. 1984b. Rock avalanches caused by earthquakes:Source characteristics. Science 223(4642):1288-1290.

Keefer, D.K. 2000. Statistical analysis of an earthquake-induced landslide distribution-The 1989 Loma Prieta, California event. Engineering Geology 58(3-4):231-249.

Lee, S. 2004. Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS. Environmental Management 34(2):223-232.

Lee, E.M. 2009. Landslide risk assessment:The challenge of estimating the probability of landsliding. Quarterly Journal of Engineering Geology and Hydrogeology 42(4):445-458.

Lee, C.T., C.C. Huang, J.F. Lee, K.L. Pan, M.L. Lin, and J.J. Dong. 2008. Statistical approach to earthquake-induced landslide susceptibility. Engineering Geology 100(1-2):43-58.

Lee, S.T., T.T. Yu, W.F. Peng, and C.L. Wang. 2010. Incorporating the effects of topographic amplification in the analysis of earthquake-induced landslide hazards using logistic regression. Natural Hazards and Earth System Sciences 10(12):2475-2488.

Li, T.J., Y. Zhao, K.L. Zhang, Y.S. Zheng, and Y. Wang. 2003. Soil geology. Beijing:Higher Education Press (in Chinese).

Liu, T.H., Z.Y. Shao, and Y.S. Luan. 2011. Geotechnical engineering technology and examples. Beijing:China Building Industry Press (in Chinese).

Meunier, P., N. Hovius, and J.A. Haines. 2008. Topographic site effects and the location of earthquake induced landslides. Earth and Planetary Science Letters 275(3-4):221-232.

Nandi, A., and A. Shakoor. 2009. A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Engineering Geology 110(1-2):11-20.

NDRC (National Development and Reform Commission)-Ministry of Science and Technology/Expert Group on Earthquake Relief. 2008. Comprehensive analysis and evaluation on Wenchuan Earthquake. Beijing:Economic Science Press (in Chinese).

Newmark, N.M. 1965. Effects of earthquakes on dams and embankments. Geotechnique 15(2):139-160.

Nichol, J., and M.S. Wong. 2005. Satellite remote sensing for detailed landslide inventories using change detection and image fusion. International Journal of Remote Sensing 26(9):1913-1926.

Proske, H., K. Granica, M. Hirschmugl, and M. Wurm. 2008. Landslide detection and susceptibility mapping using innovative remote sensing data sources. Proceedings Interpraevent 2:219-229 Dornbirn, May 2008.

Qi, S.W., Q. Xu, C.L. Liu, B. Zhang, N. Liang, and L.Q. Tong. 2009. Slope instabilities in the severest disaster areas of 5.12 Wenchuan Earthquake. Journal of Engineering Geology 17(1):39-49 (in Chinese).

Rajabi, A.M., M.R. Mahdavifar, M. Khamehchiyan, and V. Del Gaudio. 2011. A new empirical estimator of coseismic landslide displacement for Zagros Mountain region (Iran). Natural Hazards 59(2):1189-1203.

Rodriguez-Peces, M.J., J.L. Perez-Garcia, J. Garcia-Mayordomo, J.M. Azanon, J.M. Insua-Arevalo, and J. Delgado-Garcia. 2011. Applicability of Newmark method at regional, sub-regional and site scales:Seismically induced Bullas and La Paca rock-slide cases (Murcia, SE Spain). Natural Hazards 59(2):1109-1124.

Sarkar, S., and D.P. Kanungo. 2004. An integrated approach for landslide susceptibility mapping using remote sensing and GIS. Photogrammetric Engineering & Remote Sensing 70(5):617-625.

Tralli, D.M., R.G. Blom, V. Zlotnicki, A. Donnellan, and D.L. Evans. 2005. Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards. Journal of Photogrammetry & Remote Sensing 59(4):185-198.

van Westen, C.J., T.W.J. van Asch, and R. Soeters. 2006. Landslide hazard and risk zonation-Why is it still so difficult? Bulletin of Engineering Geology and the Environment 65(2):167-184.

Wang, X.Y., G.Z. Nie, and N. Zhang. 2010. Relationship between landslides introduced by the Wenchuan Earthquake and Arias intensity. Journal of Basic Science and Engineering 18(4):645-656 (in Chinese).

Wasowski, J., D.K. Keefer, and C.T. Lee. 2011. Toward next generation of research on earthquake-induced landslides:Current issues and future challenges. Engineering Geology 122(1-2):1-8.

Wilson, R.C., and D.K. Keefer. 1983. Dynamic analysis of a slope failure from the 6 August 1979 Coyote Lake, California, earthquake. Bulletin of the Seismological Society of America 73(3):863-877.

Xu, Q., and W.L. Li. 2010. Distribution of large scale landslides induced by the Wenchuan Earthquake. Journal of Engineering Geology 18(6):818-826 (in Chinese).

Yang, W.T., M. Wang, and P.J. Shi. 2013. Using MODIS NDVI time series to identify geographic patterns of landslides in vegetated regions. IEEE Geoscience and Remote Sensing Letters 10(4):707-710.

Zhou, Z.H. 2008. The strong ground motion recordings of the Ms8.0 Wenchuan Earthquake in Sichuan Province. Earthquake Research in Sichuan 4:25-29 (in Chinese).

Relative Articles

Supplements(0)

Cited By

Proportional views