首页> 外文期刊>Bulletin of the International Institute of Seismology and Earthquake Engineering >STRONG GROUND MOTION SIMULATION OF THEJANUARY 13, 2001 EL SALVADOR EARTHQUAKEUSING EMPIRICAL GREEN'S FUNCTION METHOD
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STRONG GROUND MOTION SIMULATION OF THEJANUARY 13, 2001 EL SALVADOR EARTHQUAKEUSING EMPIRICAL GREEN'S FUNCTION METHOD

机译:2001年1月13日EL SALVADOR地震的经验格林格林函数方法对强地面运动的模拟

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In January and February 2001, a very intense seismic activity occurred in El Salvador, it caused manydamages in the country. The biggest two earthquakes with magnitude M_w= 7.7 and M_6.5 occurredexactly one month separation, the first one occurred on January 13 and the second one on February 13. Using the empirical Green's function method we simulated the January 13, 2001 earthquakeusing strong ground motion data (accelerograms) and an aftershock with magnitude M_w= 5.7. We usedsource spectral fitting method in order to find an estimation of parameters to be used in EGF method. Two fault plane models determined by previous studies were considered for the simulation inthis study. One has strike/ dip/ rake angles 306.°/ 48.°/ -107.° and another 297.°/ 58.°/ -93.°,respectively. For the former we tested two possibilities with the same asperity area (30 km x 30 km)but different number of subfaults. We performed the ground motion simulation for three stations with large PGA and PGVvalues and a clear directivity pulse. From the result we determined that the former fault modelprovided us with the best results obtained in this study. This fault model is composed by a grid of 36subfaults with individual area of 5 km x 5 km.
机译:2001年1月和2001年2月,萨尔瓦多发生了非常强烈的地震活动,给该国造成了许多损失。 M_w = 7.7和M_6.5的最大两次地震恰好相隔一个月,第一次地震发生在1月13日,第二次地震发生在2月13日。使用格林函数经验方法,我们使用强地面运动模拟了2001年1月13日地震。数据(加速度图)和震级M_w = 5.7的余震。我们使用源谱拟合方法来找到要在EGF方法中使用的参数的估计。本研究中考虑了由先前研究确定的两个断层平面模型进行模拟。一个具有打击/倾斜/前角306.°/ 48.°/ -107。°,另一个具有297.°/ 58.°/ -93。°。对于前者,我们测试了具有相同凹凸区域(30 km x 30 km)但子故障数量不同的两种可能性。我们对三个具有较大PGA和PGV值以及清晰方向性脉冲的站点进行了地面运动仿真。根据结果​​,我们确定以前的故障模型为我们提供了本研究中获得的最佳结果。该故障模型由36个子故障网格组成,每个区域的面积为5 km x 5 km。

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