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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/nhess-2020-175
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2020-175
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Jun 2020

15 Jun 2020

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A revised version of this preprint is currently under review for the journal NHESS.

Deformation characteristics and exploratory data analysis of rainfall-induced rotational landslide: A case study of the Zhutoushan landslide in Nanjing, China

Weiguo Li1,2, Yali Liu2, Libing Yang2, and Yanhong Chen2 Weiguo Li et al.
  • 1Department of Geoinformatics, VŠB – Technical University of Ostrava, 708 00, Ostrava, Czech Republic
  • 2College of Land Science and Planning, Hebei GEO University, China

Abstract. Due to the complex geological structure of landslides, the installation of a monitoring network could be useful for a variety of scopes studying the possible evolution of a landslide for early warning, and the occurrence of disasters of different types landslides is different not only in the form of deformation, but also in the trigger factor. In the process of landslide monitoring, due to equipment failure and external factors, data loss or abnormal are inevitable. In this paper, through the processing and analysis of the monitoring data of the Zhutoushan landslide, the landslide is rotational landslide which is caused by the rainfall. The box plot is used to detect outliers, and the polynomial fitting function and the moving average denoise method are compared to repair the data, and the latter is better. Through the exploratory analysis of GNSS data, the correlation between monitoring points at different locations is found, which provides a basis for the identification of landslide types.

Weiguo Li et al.

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Weiguo Li et al.

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