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首页> 外文期刊>Pure and Applied Geophysics >Predicting Near-Field Strong Ground Motion of the Huaxian Ms8.5 Earthquake Based on Uncertainty Factors of Asperities
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Predicting Near-Field Strong Ground Motion of the Huaxian Ms8.5 Earthquake Based on Uncertainty Factors of Asperities

机译:基于粗糙的不确定因素,预测华夏MS8.5地震的近场强大地面运动

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摘要

The Weihe Plain is at high risk of disastrous earthquakes, such as the Huaxian Ms8.5 earthquake, which caused enormous casualties and economic losses. Therefore, reproducing the strong ground motion characteristics of the Huaxian earthquake is important for seismic design and disaster mitigation. The empirical Green's function method is used to predict the ground motion characteristics of the Huaxian Ms8.5 earthquake by considering the uncertainty factors of asperities, considering the limited observations in the Weihe Plain and the inaccessibility of the Earth's interior. The uncertainty asperity factors can be studied by the logic tree method, and source models considering these factors are constructed here. The uncertainty factors include the seismic moment M-0, number of subfaults N, stress drop of an asperity Delta sigma, and asperity area S-a. The asperity area is assigned values of 19%, 22%, and 25% of the fault rupture area; the M-0 values of the corresponding asperities account for 40%, 44%, and 48% of the entire M-0; and there are two to four asperities. The permutations are combined into multiple-asperity source models. The two-asperity source models reflect the Huaxian earthquake characteristics better than the three- or four-asperity models. The asperity area accounts for approximately 22-25% of the fault rupture area, while the M-0 of the corresponding asperities accounts for 44% and 48% of the entire M-0. The long-axis direction of the ground motion distribution is the same as that of the mountains southeast of the Weihe Plain. The azimuth angle of the elliptical long axis is approximately 40-60 degrees northeast. The greater the magnitude is, the more complex the number, location, and area of the asperities. This research extends the application of the empirical Green's function method and can numerically simulate seismic intensity characteristics in areas with destructive earthquakes but few seismic records.
机译:渭河平原有发生灾难性地震的高风险,比如华县8级地震。5.地震,造成了巨大的人员伤亡和经济损失。因此,再现华县地震的强地震动特征对抗震设计和减灾具有重要意义。采用经验格林函数法对华县Ms8的地震动特征进行了预测。5.考虑到微凸体的不确定性因素,考虑到渭河平原的有限观测和地球内部的不可接近性。用逻辑树方法研究不确定性粗糙度因子,建立了考虑这些因素的源模型。不确定性因素包括地震力矩M-0、次级断层的数量N、凹凸不平的应力降δsigma和凹凸不平的面积S-a。凹凸不平的面积分别为断层破裂面积的19%、22%和25%;相应微凸体的M-0值分别占整个M-0的40%、44%和48%;有两到四个突起。这些排列组合成多个粗糙度源模型。两种粗糙度源模型比三种或四种粗糙度模型更好地反映了化县地震的特征。凹凸区约占断层破裂区的22-25%,而相应凹凸区的M-0分别占整个M-0的44%和48%。地震动分布的长轴方向与渭河平原东南部山区相同。椭圆长轴的方位角约为东北40-60度。震级越大,凹凸的数量、位置和面积就越复杂。本研究扩展了经验格林函数方法的应用范围,可以数值模拟破坏性地震但地震记录较少地区的地震烈度特征。

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