Cite this article: Zhang, Y., Ren, Y., Wen, R. et al. Regional terrain-based VS30 prediction models for China. Earth Planets Space 75, 72 (2023). https://doi.org/10.1186/s40623-023-01826-3

Regional terrain-based V_S30 prediction models for China

Yuting Zhang, Yefei Ren*, Ruizhi Wen, Hongwei Wang and Kun Ji

Corresponding author: Yefei Ren

Yuting Zhang, Institute of Engineering Mechanics, China Earthquake Administration, Key Laboratory of Earthquake Engineering and Engineering Vibration, No. 29 Xuefu Road, Harbin, Heilongjiang, People’s Republic of China, 150080, zhangyytting@163.com

Yefei Ren, Institute of Engineering Mechanics, China Earthquake Administration, Key Laboratory of Earthquake Engineering and Engineering Vibration, No. 29 Xuefu Road, Harbin, Heilongjiang, People’s Republic of China, 150080, renyefei@iem.net.cn.

Ruizhi Wen, Institute of Engineering Mechanics, China Earthquake Administration, Key Laboratory of Earthquake Engineering and Engineering Vibration, No. 29 Xuefu Road, Harbin, Heilongjiang, People’s Republic of China, 150080, ruizhi@iem.ac.cn

Hongwei Wang, Institute of Engineering Mechanics, China Earthquake Administration, Key Laboratory of Earthquake Engineering and Engineering Vibration, No. 29 Xuefu Road, Harbin, Heilongjiang, People’s Republic of China, 150080,  whw1990413@163.com

Kun ji, College of Civil and Transportation Engineering, Hohai University, No.1 Xikang Road, Nanjing, Jiangsu, People’s Republic of China, 213022,  jikun@iem.ac.cn

Abstract：

Time-averaged shear-wave velocity to 30 m (V_S30) is commonly used in ground motion models as a parameter for evaluating site effects. This study used a collection of boreholes in Beijing, Tianjin, Guangxi, Guangdong, and three other municipalities and provinces, which were divided into three regions with reference to the seismic ground motion parameter zonation map of China, to establish V_S30 prediction models based on terrain categories. Regional effects were verified by comparing morphometric parameter (topographic slope, surface texture, and local convexity) thresholds and terrain classification maps obtained from global digital elevation model (DEM) data and regional DEM data of the three regions. Additionally, V_S30 prediction models for the three regions using both types of terrain classification maps were established and analyzed comparatively to provide credible regional V_S30 models for China. Through analysis of the correlations between the measured V_S30 values and the predicted V_S30 values, calculation of the mean squared error and mean absolute percentage error in each region, and with consideration of the geological characteristics of the boreholes, the V_S30 prediction models based on terrain classification maps from regional data were finally applied in developing regional V_S30 models for China. Intercomparison of the V_S30 prediction models for the three regions indicated that subregional consideration is necessary in terrain classification. Finally, a spatial analysis method adopting inverse distance weighting of the residuals was used to update the initial V_S30 models. The developed V_S30 models could be used both in developing regional ground motion models and in the construction of earthquake disaster scenarios.

Keywords: terrain classification; morphometric parameters; V_S30 prediction models; regional features

 

 

Supported by：

This work is supported by National Key R&D Program of China under grant number 2019YFE0115700; Chinese National Natural Science Fund under grant number 51878632; Chinese National Natural Science Fund under grant number U2239252; Natural Science Foundation of Heilongjiang Province under grant number YQ2019E036; Heilongjiang Touyan Innovation Team Program.