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Mapping the Earthquake Landslide Risk, A Case Study in the Sichuan-Yunnan Region, China

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Web and Wireless Geographical Information Systems (W2GIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12473))

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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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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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Authors and Affiliations

  1. College of Geomatics Science and Technology, Nanjing Tech University, Nanjing, 211816, China

    Xu Jinghai, Bu Lan, Li Bo & Zhou Haijun

Authors
  1. Xu Jinghai
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  2. Bu Lan
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  3. Li Bo
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  4. Zhou Haijun
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Corresponding author

Correspondence to Xu Jinghai .

Editor information

Editors and Affiliations

  1. University of Naples Federico II, Naples, Italy

    Sergio Di Martino

  2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

    Zhixiang Fang

  3. Department of Computer Science and Engineering, Pusan National University, Pusan, Korea (Republic of)

    Ki-Joune Li

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60951-1

  • Online ISBN: 978-3-030-60952-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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