Abstract
Rapid and effective assessment of the landslide risk and its spatial distribution after the earthquake provide good support for earthquake emergency rescue. In this paper, we develop a landslide risk map in the Sichuan-Yunnan region for post-earthquake emergency rescue with grid technology based on historical seismic landslide data of Wenchuan earthquake. The historical data of Wenchuan earthquake is extracted based on the Aster images. The seismic landslide risk assessment model is introduced based on logistic regression model, in which seismic intensity and slop of digital elevation model are selected as influence factors (input parameters). Then we grid the landslide risk estimation model to generate landslide risk maps in resolution of 90 m. So the risk maps are prepared before earthquake, the landslide risk can be quickly estimated after earthquake according to few information acquired from earthquake monitor network, such as magnitude, focal depth, earthquake location. Finally, a seismic landslide risk assessment system was developed to realize the application of the risk maps.
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Xiuying, W.: Study of fast evaluation technique of earthquake-induced landslides and their effects on earthquake emergency rescue. Recent Dev. World Seismolog. 29(7), 2159 (2011)
Akgun, A.: Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey). Environ. Monit. Assess. 184(9), 5453–5470 (2012). https://doi.org/10.1007/s10661-011-2352-8
Jibson, R.W.: A method for producing digital probabilistic seismic landslide hazard maps. Eng. Geol. 58(3), 271–289 (2000)
Romeo, R.: Seismically induced landslide displacements: a predictive model. Eng. Geol. 58(3), 337–351 (2000)
Edwin, L.: Landslide inventories: the essential part of seismic landslide hazard analyses. Eng. Geol. 122(1), 9–21 (2010)
Jibson, R.W.: Regression models for estimating coseismic landslide displacement. Eng. Geol. 91(2), 209–218 (2007)
Xu, C., Xu, X.: The spatial distribution pattern of landslides triggered by the 20 April 2013 Lushan earthquake of China and its implication to identification of the seismogenic fault. Chin. Sci. Bull. 59(13), 1416–1424 (2014). https://doi.org/10.1007/s11434-014-0202-0
Tian, Y.: Inventory and spatial distribution of landslides triggered by the 8th august 2017 MW6.5 Jiuzhaigou earthquake, China. J. Earth Sci. 30(1), 206–217 (2018). https://doi.org/10.1007/s12583-018-0869-2
Tang, C.: Study on prediction of earthquake induced landslide hazard area supported by GIS. J. Earth Seismol. Res. 24(1), 73–81 (2001)
Zhu, L.: Risk assessment of landslide in China using GIS technique. Rock Soil Mech. 24(S2), 221–224 (2003)
Jianping, Q.: Study on Wenchuan earthquake-induced landslide risk zonation. J. Eng. Geol. 23(2), 187–193 (2015)
Zhang, J.: Susceptibility of landslide based on artificial neural networks and fuzzy evaluating model. Sci. Surveying Mapp. 37(3), 63–66 (2012)
Wang, Y.: Occurrence probability assessment of earthquake-triggered landslides with Newmark displacement values and logistic regression: The Wenchuan earthquake. China. Geomorphol. 258(258), 108–119 (2016)
Zhang, J.: The numerical and sensitivity analysis of the landslide induced by earthquake. Sci. Technol. Eng. 21(1), 16–24 (2013)
Zhao, J.H.: Comparison of models for hazard assessment of landslide. J. Nat. Disaster 15(1), 128–134 (2006)
Zhen, Y.: Geological hazard risk assessment in Hongkou county of Dujiangyan. Sci. Surveying Mapp. 41(11), 66–71 (2016)
Acknowledgements
This work was jointly supported by The National Key Research and Development Program of China (Grant No. 2018YFC0704305, No. 2018YFC1504503), and the Science and Technology Project of Jiangsu Construction System in 2018 (Grant No. 2018JH011).
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Jinghai, X., Lan, B., Bo, L., Haijun, Z. (2020). Mapping the Earthquake Landslide Risk, A Case Study in the Sichuan-Yunnan Region, China. In: Di Martino, S., Fang, Z., Li, KJ. (eds) Web and Wireless Geographical Information Systems. W2GIS 2020. Lecture Notes in Computer Science(), vol 12473. Springer, Cham. https://doi.org/10.1007/978-3-030-60952-8_11
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DOI: https://doi.org/10.1007/978-3-030-60952-8_11
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