Empirical Correlations between Generalized Ground-Motion Intensity Measures for Earthquakes in China

强度(物理) 衰减 航程(航空) 加速度 地震学 相关系数 光谱加速度 参数统计 峰值地面加速度 强地震动 标准差 大地测量学 地震动 振幅 物理 地质学 统计 数学 光学 材料科学 经典力学 复合材料
作者
Kun Ji,Yefei Ren,Ruizhi Wen
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society of America]
卷期号:111 (1): 274-294 被引量:7
标识
DOI:10.1785/0120200179
摘要

ABSTRACT This study used earthquake records from China to investigate comprehensively the correlation coefficients between various intensity measures (IMs), including peak ground acceleration, peak ground velocity, spectral acceleration, spectrum intensity, acceleration spectrum intensity, Arias intensity, cumulative absolute velocity, and significant duration. After collection of metadata information, 681 three-component ground-motion recordings with magnitudes of Mw 4.9–6.9 were carefully processed and extracted from the China National Strong-Motion Observation Network System dataset (2007–2015). The applicability of both the Next Generation Attenuation (NGA)-West2 ground-motion model (GMM) and of other GMMs was verified for different IMs, regarding the China dataset. Then, empirical correlation coefficients between different IMs were computed, considering the uncertainty due to the different sample sizes of the observational data using the bootstrap sampling method and Fisher z transformation. Finally, the median values of the correlation coefficients were fitted as a continuous function of the vibration period in the range of 0.01–10.0 s and compared with the results of similar studies developed for shallow crustal regions worldwide. The developed region-specific correlation coefficient prediction model yielded tendencies approximately like those reported in other studies. However, obvious differences were found in long-period ranges of amplitude-based IMs, cumulative effect IMs, and significant duration. These results suggest the necessity of using region-specific correlation coefficients for generalized IMs in China. The presented results and parametric models could be easily implemented in a generalized IM ground-motion selection method or a vector-based probability seismic hazard analysis procedure for China.
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