Preprints
https://doi.org/10.5194/nhess-2020-175
https://doi.org/10.5194/nhess-2020-175
15 Jun 2020
 | 15 Jun 2020
Status: this preprint has been withdrawn by the authors.

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

Weiguo Li, Yali Liu, Libing Yang, and Yanhong Chen

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.

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Weiguo Li, Yali Liu, Libing Yang, and Yanhong Chen

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Weiguo Li, Yali Liu, Libing Yang, and Yanhong Chen
Weiguo Li, Yali Liu, Libing Yang, and Yanhong Chen

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