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    Volume 47 Issue 12
    Dec.  2022
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    Li Langping, Lan Hengxing, 2022. Complexities of Landslide Moving Path: A Review and Perspective. Earth Science, 47(12): 4663-4680. doi: 10.3799/dqkx.2021.224
    Citation: Li Langping, Lan Hengxing, 2022. Complexities of Landslide Moving Path: A Review and Perspective. Earth Science, 47(12): 4663-4680. doi: 10.3799/dqkx.2021.224

    Complexities of Landslide Moving Path: A Review and Perspective

    doi: 10.3799/dqkx.2021.224
    • Received Date: 2021-08-21
      Available Online: 2023-01-10
    • Publish Date: 2022-12-25
    • Landslide is generally characterized by complex moving paths, reflected by behaviors including spreading, turning, splitting, braiding, coalescence and connection.The complexity of landslide moving path increases landslide risk.Therefore, researches on the quantifications and probability distributions of the complexities of landslide moving paths are required for landslide hazard assessment.In this paper it systematically reviews current researches on the complexities of landslide moving paths, points out key problems faced by relevant researches, and proposed perspectives for future researches.Generally, both the quantifications and probabilistic distributions of the complexities of landslide moving paths are inadequate.Specifically, the current profile abstraction method for landslide moving path is not applicable to multi-path complex behaviors; existing indices cannot systematically and scientifically quantify the complexities of landslide moving paths; the probability distribution functions of the complexities of landslide moving paths and their major constraining factors are not clear.Further, for solving the above problems, in this paper it suggests in the prospects: (1) to realize profile abstractions of multi-path complex behaviors mainly by transforming multi-paths into single-paths section by section; (2) to systematically quantify the complexities of landslide moving paths by developing a profile based index system; (3) to find out the probability distribution functions of the complexities of landslide moving paths and their major constraining factors by comprehensively analyzing data of landslide cases from various sources; and finally to develop prediction models for the probability distributions of the complexities of landslide moving paths, and further give a scientific support for quantitative landslide hazard and risk assessments in practice.

       

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