EGU25-5907, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-5907
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Thursday, 01 May, 08:45–08:55 (CEST)
 
Room D1
An optimization suggestion for site classification scheme in Chinese seismic code based on clustering analysis of site amplification
Ye Liu, Yefei Ren, Ruizhi Wen, and Hongwei Wang
Ye Liu et al.
  • Institute of Engineering Mechanics, China Earthquake Administration, Engineering Seismology, Harbib, China (liuye@iem.ac.cn)

There has been extensive discussion as to whether the scope of site classification II is too broad in current Chinese seismic code. To address this issue, this study aims to optimize the site classification scheme for Chinese seismic code using clustering analysis of site amplification. Firstly, we estimate the empirical site amplification factors of KiK-net stations by the residual analysis method, and classify them by the site classification scheme of Chinese seismic code. Next, we perform k-means clustering analysis on the stations of site class II, considering site amplification factors, equivalent shear wave velocities and thicknesses of sedimentary layers as explanatory variables, and obtain two clusters with distinct site amplification effects. Finally, we use correlation analysis and Receiver Operating Characteristic (ROC) curve to guide the optimization of site classification scheme, and suggest dividing site class II into two subclasses, IIa and IIb, by a threshold of 15m for the thickness of sedimentary layer. The proposed optimized classification scheme would be beneficial for improving the seismic design code and could be further applied to the development of ground motion models and seismic hazard analysis.

How to cite: Liu, Y., Ren, Y., Wen, R., and Wang, H.: An optimization suggestion for site classification scheme in Chinese seismic code based on clustering analysis of site amplification, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-5907, https://doi.org/10.5194/egusphere-egu25-5907, 2025.