The anisotropic model of upper crust beneath the Sichuan-Yunnan region

The anisotropic model of upper crust beneath the Sichuan-Yunnan region


The data set is the upper crustal anisotropic model in Sichuan-Yunnan region obtained by applying S-wave splitting method. First, the seismic waveform data is applied from National Earthquake Data Center and collected from deployed seismic stations. Using the collected seismic waveform data, we intercept waveform as seismic events and remove the mean and trend and filter the waveform. We invert the upper crustal anisotropic model in Sichuan-Yunnan region by applying the S-wave splitting method. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.


File naming and required software

File naming: the model data set is stored in text format, and each file is named as "serial number _topic number _model name".
Data reading method: all data files in the data set can be opened directly by text program.


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Cite as:

Gao, Y. (2022). The anisotropic model of upper crust beneath the Sichuan-Yunnan region. A Big Earth Data Platform for Three Poles, DOI: 10.11888/SolidEar.tpdc.272584. CSTR: 18406.11.SolidEar.tpdc.272584. (Download the reference: RIS | Bibtex )

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Support Program

The study on multi-scale and high-resolution structures, deformation patterns and background of large earthquakes preparation and occurrence beneath the Chuandian Block (No:2017YFC1500300)

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


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Geographic coverage
East: 109.00 West: 97.00
South: 21.00 North: 34.00
Details
  • Temporal resolution: --
  • Spatial resolution: 10km - 100km
  • File size: 0.01 MB
  • Views: 663
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: nothing
  • Updated time: 2022-06-13

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Contacts
: GAO Yuan   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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