李宗超, 高孟潭, 陈学良, 吴清. 2019: 2016年熊本MJ7.3地震的工程地震动参数模拟及分布特征分析. 地震学报, 41(1): 100-110. DOI: 10.11939/jass.20180070
引用本文: 李宗超, 高孟潭, 陈学良, 吴清. 2019: 2016年熊本MJ7.3地震的工程地震动参数模拟及分布特征分析. 地震学报, 41(1): 100-110. DOI: 10.11939/jass.20180070
Li Zongchao, Gao Mengtan, Chen Xueliang, Wu Qing. 2019: Engineering ground motion parameters simulation and distribution characteristics analysis of Kumamoto MJ7.3 earthquake in 2016. Acta Seismologica Sinica, 41(1): 100-110. DOI: 10.11939/jass.20180070
Citation: Li Zongchao, Gao Mengtan, Chen Xueliang, Wu Qing. 2019: Engineering ground motion parameters simulation and distribution characteristics analysis of Kumamoto MJ7.3 earthquake in 2016. Acta Seismologica Sinica, 41(1): 100-110. DOI: 10.11939/jass.20180070

2016年熊本MJ7.3地震的工程地震动参数模拟及分布特征分析

Engineering ground motion parameters simulation and distribution characteristics analysis of Kumamoto MJ7.3 earthquake in 2016

  • 摘要: 本文选取2016年4月16日日本熊本县MJ7.3 (MW7.0)地震近场区域内K-net地震台网的47个强震台站所记录的加速度数据,运用经验格林函数法模拟分析此次地震主要的工程地震参数并给出了各工程参数的空间分布。通过对比分析得到结论如下:① 地震动时程的基本频谱的模拟结果较好,尤其是1—15 Hz的高频段内;② 在震源距小于50 km范围内,峰值加速度和阿里亚斯强度的观测值与模拟值拟合较好,二者在近场区域均以椭圆形向周围扩散衰减,且阿里亚斯强度的模拟值整体大于观测值;③ 卓越周期拟合整体较好,但在局部区域存在较大差异,模拟结果难以表征场地环境的复杂性。

     

    Abstract: In this paper, the empirical Green’s function method is used to simulate and analyze the main engineering seismic parameters of 47 strong stations from K-net of the MJ7.3 (MW7.0) earthquake in Kumamoto county, Japan. The main conclusions are as follows: ① The basic spectrum simulation results fitted better, especially in the high frequency band 1–15 Hz; ② The simulated values of both peak ground acceleration and Arias intensity at the focal distance less than 50 km have the better fitting with observed values, they are diffused attenuating around the ellipse in the near field, and the simulated values of Arias intensity are greater than the observed values; ③ The predominant period fitting is good, as a whole, but there are larger differences in the local area. The simulated results cannot indicate the complexity of site condition.

     

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