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A novel landslide susceptibility mapping portrayed by OA-HD and K-medoids clustering algorithms

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Abstract

Because of the strong dependence on the values for the input parameters and the cluster shape, as well as the difficulties in quantifying the precipitation in constructing landslide susceptibility maps by employing existing clustering algorithms, we propose a novel method based on an Ordering Points to Identify the Clustering Structure (OPTICS) algorithm using the Hausdorff distance (OA-HD). The OA-HD algorithm distributes mapping units into many subclasses with similar characteristic values for topography and geology. To obtain more optimal subclasses, the HD was adopted to quantify precipitation. The K-medoids algorithm grouped these subclasses into five susceptibility levels according to the values of landslide density in each subclass. Applying the innovative integrated algorithms to the study area significantly improves the landslide susceptibility assessment, especially in a large study area. The method suggests new insights for better assessing landslide susceptibility in a large study area.

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Funding

This study was supported by the National Natural Science Foundation of China (41562019, 41530640) and the National Key Research and Development Projects of China (2018YFC1504705).

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Authors and Affiliations

  1. School of Information Engineering, Jiangxi University of Science and Technology, 86, Hongqi Ave, Ganzhou, Jiangxi, China

    Jian Hu, Kaibin Xu, Muhammad Asim Khan & Yimin Mao

  2. School of Applied Science, Jiangxi University of Science and Technology, Ganzhou, JiangXi, China

    Jian Hu

  3. Key Laboratory for Geo-hazards in Loess Area, MLR, 438 E. Youyi Road, Xi’an, 710054, Shaanxi, China

    Genglong Wang, Yimin Mao & Maosheng Zhang

  4. School of Resource and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou, JiangXi, China

    Youcun Liu

Authors
  1. Jian Hu
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  2. Kaibin Xu
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  3. Genglong Wang
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  4. Youcun Liu
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  5. Muhammad Asim Khan
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  6. Yimin Mao
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  7. Maosheng Zhang
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Corresponding authors

Correspondence to Yimin Mao or Maosheng Zhang.

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Hu, J., Xu, K., Wang, G. et al. A novel landslide susceptibility mapping portrayed by OA-HD and K-medoids clustering algorithms. Bull Eng Geol Environ 80, 765–779 (2021). https://doi.org/10.1007/s10064-020-01863-2

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  • DOI: https://doi.org/10.1007/s10064-020-01863-2

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