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Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach
Computers & Geosciences ( IF 4.2 ) Pub Date : 2021-02-24 , DOI: 10.1016/j.cageo.2021.104736
José L. Amaro-Mellado , Laura Melgar-García , Cristina Rubio-Escudero , David Gutiérrez-Avilés

Seismogenic source zone models, including the delineation and the characterization, still have a role to play in seismic hazard calculations, particularly in regions with moderate or low to moderate seismicity. Seismic source zones establish areas with common tectonic and seismic characteristics, described by a unique magnitude–frequency distribution. Their definition can be addressed from different views. Traditionally, the source zones have been geographically outlined from seismotectonic, geological structures, and earthquake catalogs. Geographic information systems (GIS) can be of great help in their definition, as they deal rigorously and less ambiguously with the available geographical data. Moreover, novel computer science approaches are now being employed in their definition. The Pyrenees mountain range – in southwest Europe – is located in a region characterized by low to moderate seismicity. In this study, a method based purely on seismic catalogs, managed with a GIS and a triclustering algorithm, were used to delineate seismogenic zones in the Pyrenees. Based on an updated, reviewed, declustered, extensive, and homogeneous earthquake catalog (including detailed information about each event such as date and time, hypocentral location, and size), a triclustering algorithm has been applied to generate the seismogenic zones. The method seeks seismicity patterns in a quasi-objective manner following an initial assessment as to the best suited seismic parameters. The eight zones identified as part of this study are represented on maps to be analyzed, being the zone covered by the Arudy–Arette region to Bagnères de Bigorre as the one with the highest seismic hazard potential.



中文翻译:

生成比利牛斯山脉的震源区模型:一种GIS辅助的集散方法

震源区带模型,包括轮廓和特征,在地震危险性计算中仍然发挥着作用,特别是在中等或低至中等地震活动度的地区。地震震源区建立具有共同构造和地震特征的区域,用独特的幅度-频率分布来描述。它们的定义可以从不同的角度来解决。传统上,震源区是根据地震构造,地质结构和地震目录进行地理勾画的。地理信息系统(GIS)严格地处理了可用的地理数据,因此对它们的定义不那么模棱两可,因此在定义方面可能会大有帮助。而且,现在在其定义中采用了新颖的计算机科学方法。欧洲西南部的比利牛斯山脉山脉位于地震活动程度低至中等的地区。在这项研究中,仅使用基于地震目录的方法,通过GIS和分类算法进行管理,来描绘比利牛斯山脉的地震发生带。基于更新,审查,去簇,广泛且均匀的地震目录(包括有关每个事件的详细信息,例如日期和时间,震中位置和大小),已应用了三角碰撞算法来生成震源区。在对最适合的地震参数进行初步评估之后,该方法以准目标的方式寻找地震活动模式。识别为这项研究一部分的八个区域显示在要分析的地图上,

更新日期:2021-03-01
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