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首页> 外文会议>Infrastructure Technology Symposium;International Conference on Science and Technology >Hypocenter Analysis of Aftershocks Data of the Mw 6.3, 27 May 2006 Yogyakarta Earthquake Using Oct-Tree Importance Sampling Method
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Hypocenter Analysis of Aftershocks Data of the Mw 6.3, 27 May 2006 Yogyakarta Earthquake Using Oct-Tree Importance Sampling Method

机译：MW 6.3，2006年5月27日的余震分析，2006年5月27日的Yogyakarta地震使用OCT树重视采样方法

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摘要

Yogyakarta earthquake, Mw 6.3, 27 May 2006 had killed 5,571 victims and destroyed more than 1 million buildings. This incident became the most destructive earthquake disaster over the last 11 years in Indonesia. Earthquake mitigation plan in the area has been carried out by understands the location of the fault. The location of the fault is still unclear among geoscientists until now. In this case, analysis of the aftershocks using oct-tree importance sampling method was applied to support the location of the fault that responsible for the 2006 Yogyakarta earthquake. Oct-tree importance sampling is a method that is recursively subdividing the solution domain into exactly eight children for estimating properties of a particular distribution. The final result of the subdividing process is a cell that has a maximum Probability Density Function (PDF) and identified as the location of the hypocenter. Input data consists of the arrival time of the P wave and S wave of the aftershocks catalog from 3-7 June 2006 and the coordinate of the 12 seismometers, and ID velocity model of the study area. Based on the hypocenter distribution of the aftershocks data with the proposed method show a clearer trend of the fault compared with the aftershocks distribution calculated with the Hypo71 program. The fault trend has a strike orientation of N 42° E with a dip angle of 80° parallel with the fault scarp along the Opak River at the distance of about 15 km to the east. This fault trend is similar with the fault orientation obtained using the Double Difference Algorithm.
机译：日惹地震，MW 6.3，2006年5月27日杀死了5,571名受害者，并摧毁了100万个建筑物。这一事件在印度尼西亚过去11年来成为最具破坏性的地震灾害。该地区的地震缓解计划是通过了解故障的位置而进行的。到目前为止，故障的位置仍然不清楚。在这种情况下，应用了使用OCT树重视采样方法的余震分析，以支持负责2006年日惹地震的故障的位置。 OCT树重要性采样是一种方法，其被递归地将解决方案域分为八个儿童，以估计特定分布的特性。细分过程的最终结果是具有最大概率密度函数（PDF）的小区，并被标识为低速度的位置。输入数据由2006年6月3日至7日的余震目录的P波和S波的到达时间和研究区域的12个地震仪的坐标和ID速度模型。基于AFTERSHOCKS数据的低缩进者分布，通过所提出的方法显示出故障的更清晰的趋势与用HYPO71程序计算的余震分布相比。故障趋势具有N 42°E的击打方向，倾角为80°，与Opak河沿着Opak河的故障围巾到东部约15公里。该故障趋势与使用双差分算法获得的故障方向相似。

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