This data is the inclinometer monitoring data of Baige landslide in Jinshajiang River, which mainly considers the deep deformation monitoring of the landslide. Combined with the site geological conditions, three monitoring profiles are arranged, with a total of 7 boreholes, more than 600 meters in total, and the boreholes are vertically distributed. The field manual monitoring method is adopted, and the data is processed with Excel software. The data show that shear zones have been formed in some boreholes. Combined with the field macro deformation and geological drill hole histogram analysis, the position of the formed shear zone is consistent with the field geological situation, which proves the reliability of the data. At the same time, the displacement of shear band is further analyzed, and the deformation does not converge. Through the analysis of the data, the depth range, monitoring and early warning of the crack area of Baige landslide are determined, and technical support is provided for landslide treatment.

File naming and required software

The inclinometer monitoring data of Baige landslide is stored in text format. The name of the file is "zkddd. Xlsx", in which ZK stands for borehole abbreviation and DDD stands for borehole number, such as ZK1 Xlsx represents this ASCII file to describe the inclinometer data of borehole 1.
Data reading method: all ASCII files in the data set can be opened directly with text programs (such as Excel). Except for header files, the main content is data at different times.

Data Citations Data citation guideline What's data citation?

Cite as:

Chen, F. (2022). Deep displacement monitoring data of Baige landslide - inclinometer monitoring data (2019-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272202. CSTR: 18406.11.Terre.tpdc.272202. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)