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A first-order seismotectonic regionalization of Mexico for seismic hazard and risk estimation

机译:墨西哥地震危害和风险估算的一阶地震区区化

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摘要

The purpose of this work is to define a seismic regionalization of Mexico for seismic hazard and risk analyses. This seismic regionalization is based on seismic, geologic, and tectonic characteristics. To this end, a seismic catalog was compiled using the more reliable sources available. The catalog was made homogeneous in magnitude in order to avoid the differences in the way this parameter is reported by various agencies. Instead of using a linear regression to converts from m (b) and M (d) to M (s) or M (w) , using only events for which estimates of both magnitudes are available (i.e., paired data), we used the frequency-magnitude relations relying on the a and b values of the Gutenberg-Richter relation. The seismic regions are divided into three main categories: seismicity associated with the subduction process along the Pacific coast of Mexico, in-slab events within the down-going COC and RIV plates, and crustal seismicity associated to various geologic and tectonic regions. In total, 18 seismic regions were identified and delimited. For each, the a and b values of the Gutenberg-Richter relation were determined using a maximum likelihood estimation. The a and b parameters were repeatedly estimated as a function of time for each region, in order to confirm their reliability and stability. The recurrence times predicted by the resulting Gutenberg-Richter relations obtained are compared with the observed recurrence times of the larger events in each region of both historical and instrumental earthquakes.
机译:这项工作的目的是定义墨西哥的地震区域化,用于地震危害和风险分析。这种地震区域化基于地震,地质和构造特征。为此,使用更可靠的来源编制地震目录。目录的典型均匀,以避免该参数由各种机构报告的方式差异。而不是使用线性回归来从M(b)和m(d)转换为m(d)或m(w),而是仅使用两个大小的估计可用的事件(即,配对数据),我们使用了频率幅度关系依赖于Gutenberg-Richter关系的A和B值。地震区分为三个主要类别:与墨西哥太平洋海岸的俯冲过程相关的地震性,下滑的COC和脊髓板内的板条事件,以及与各种地质和构造区域相关的地壳地震性。共有18个地震区域被鉴定并限定。对于每个,使用最大似然估计来确定古丁格 - RINKTER关系的A和B值。 A和B参数被重复估计为每个区域的时间函数,以便确认其可靠性和稳定性。将获得的古龄 - 雷德特关系预测的复发时间与所观察到的历史和乐器地震的每个区域中的较大事件的复发时间进行了比较。

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