Characterizing Seismogenic Fault Structures in Oklahoma Using a Relocated Template‐Matched Catalog

Characterizing Seismogenic Fault Structures in Oklahoma Using a Relocated Template‐Matched Catalog
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使用重新定位的模板匹配目录表征俄克拉荷马州的发震断层结构

DOI:
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发表时间:
2019
影响因子:
3.3
通讯作者:
J. Walter
J. Walter
中科院分区:
地球科学2区
文献类型:
--
作者:
R. Skoumal;J. Kaven;J. Walter

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俄克拉荷马州是美国地震最活跃的地方之一,这是工业活动的结果。为了描述造成俄克拉荷马州地震的断层网络,我们使用GrowClust算法重新定位了2010年至2016年之间的大规模模板匹配目录。这搬迁目录是目前最完整的全州目录俄克拉荷马州在这七年的窗口。使用这个重新定位的目录,我们通过开发一种算法(FaultID)来识别发震断层段,该算法对地震进行聚类,然后识别每个聚类内的线性趋势。考虑到俄克拉荷马州的地震数量多,该算法使得识别以前未标测的发震断层的过程更加接近和客观。我们确定了大约2500个孕震断层段,这些断层段与震源机制大体一致,并且相对于最大主应力测量结果最佳定向。我们证明,这些故障方向可以用来近似最大主应力方向。补充内容:2010年至2016年期间俄克拉荷马州重新定位的地震目录和使用FaultID算法识别的发震断层段表。
Oklahoma is one of the most seismically active places in the United States as a result of industry activities. To characterize the fault networks responsible for these earthquakes in Oklahoma, we relocated a large-scale template-matching catalog between 2010 and 2016 using the GrowClust algorithm. This relocated catalog is currently the most complete statewide catalog for Oklahoma during this seven year window. Using this relocated catalog, we identified seismogenic fault segments by developing an algorithm (FaultID) that clusters earthquakes and then identifies linear trends within each cluster. Considering the large number of earthquakes in Oklahoma, this algorithm made the process of identifying previously unmapped seismogenic faults more approachable and objective. We identify approximately 2500 seismogenic fault segments that are in general agreement with focal mechanisms and optimally oriented relative to maximum principle stress measurements. We demonstrate that these fault orientations can be used to approximate the maximum principle stress orientations. Supplemental Content: Relocated earthquake catalog in Oklahoma between 2010 and 2016 and a table of the seismogenic fault segments identified with the FaultID algorithm.
DOI: 10.1038/s41598-017-04992-z
发表时间: 2017-07-10
期刊: Scientific reports
影响因子: 4.6
作者:
Chen X;Nakata N;Pennington C;Haffener J;Chang JC;He X;Zhan Z;Ni S;Walter JI
通讯作者: Walter JI