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Discussion papers
https://doi.org/10.5194/nhess-2019-8
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-8
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 23 Jan 2019

Research article | 23 Jan 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

GIS-based earthquake-triggered landslide susceptibility mapping with an integrated weighted index model in Jiuzhaigou region of Sichuan Province, China

Yaning Yi1,2, Zhijie Zhang3, Wanchang Zhang1, Qi Xu4, Cai Deng1, and Qilun Li1,2 Yaning Yi et al.
  • 1Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
  • 2University of Chinese Academy of Sciences, Beijing, 100049, China
  • 3Department of Geography, University of Connecticut, Storrs, CT, 06269, USA
  • 4Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China

Abstract. A Ms 7.0 earthquake struck the Jiuzhaigou region of Sichuan Province, China at 21:19 pm on Tuesday, 8 August 2017, which triggered a large number of landslides. For mitigating the damages of earthquake-triggered landslides to individuals and infrastructures of the earthquake affected region, a comprehensive landslide susceptibility mapping was attempted with an integrated weighted index model by combining the frequency ratio and the analytical hierarchy process approaches under GIS-based environment in the earthquake heavily attacked Zhangzha town of the Jiuzhaigou region. For this purpose, a total number of 842 earthquake-triggered landslides were visually interpreted and located from Sentinel-2A images acquired before and after the earthquake at first, and then the recognized landslides were randomly split into two groups to establish the earthquake-triggered landslide inventory, among which 80 % of the landslides was used for training the integrated model and the remaining 20 % for validation. Nine landslide controlling factors, namely slope, aspect, elevation, lithology, distance from faults, distance from rivers, land-use/cover, normalized difference vegetation index and peak ground acceleration, were considered with an integrated weighted index model for determination of the weighted index through analysing their relationships with occurrence frequency ratios of landslides with analytical hierarchy process approaches. Furthermore, an area under the curve approach was adopted to comprehensively evaluate the performance of the integrated weighted index model, including the degree of model fit and model predictive capability. The results demonstrated the reliability and feasibility of the integrated weighted index model in earthquake-triggered landslide susceptibility mapping at regional scale. The generated map can be served as the scientific basis to mitigate hazards of the earthquake-triggered landslides to individuals and infrastructures of the earthquake affected region.

Yaning Yi et al.
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Short summary
On 8 August 2017, a Ms 7.0 earthquake struck the Jiuzhaigou region of Sichuan Province which triggered numerous landslides. In this study, a landslide susceptibility map was generated by using an integrated weighted index model. Results indicated that the integrated model has superior fitting performance and predictive capability. We expect that the generated landslide susceptibility map can be served as the scientific basis to mitigate hazards of the earthquake-triggered landslides.
On 8 August 2017, a Ms 7.0 earthquake struck the Jiuzhaigou region of Sichuan Province which...
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