利用空间自相关技术聚类分析van省及其周边地区地震活动性

Güzide Miray Perihanoğlu, Ömer Bilginer, Elif Akyel
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引用次数: 1

摘要

2011年10月23日,凡省发生了𝑀𝑤7.2级地震,2020年2月23日,伊朗霍伊省发生了𝑀𝑤5.9级地震等破坏性余震。在地震研究中,利用基于空间自相关技术的地理信息系统(GIS)检测地震发生的分布和均匀性的问题经常被研究。由于位于东安纳托利亚挤压构造块上,凡省及其周边地区是地震高风险地区之一。本研究的目的是分析在仪器期间发生在广东省及其周边地区的𝑀𝑤4级及以上地震的空间模式,并确定聚类。空间聚类分析是研究地震活动性分布的重要手段。研究中使用的数据取自土耳其共和国内务部灾害和紧急情况管理处的数据库系统。在本研究使用的地震数据集上,首选Moran’s I和Getis-Ord Gi方法。其目的是通过空间自相关技术测试聚集区域的地震分布,从而确定危险区域。
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CLUSTERING ANALYSIS OF THE SEISMICITY OF VAN PROVINCE AND ITS SURROUNDINGS VIA SPATIAL AUTOCORRELATION TECHNIQUES
: Destructive aftershocks such as the 𝑀𝑤 7.2 Van earthquake on October 23, 2011, and the Hoy (Iran) earthquake with 𝑀𝑤 5.9 on February 23, 2020, occurred in the province of Van and its surroundings. In earthquake studies, the issue of examining the distribution and homogeneity of earthquake incidences with Geographic Information Systems (GIS) based via spatial autocorrelation techniques is frequently investigated. Van province and its surroundings are among the areas with high earthquake risk due to its location on the East AnatolianCompressiveTectonicBlock.Theaimofthisstudyistoanalyzethespatialpatterns ofearthquakeswithmagnitude 𝑀𝑤 4 and above that occurred in the province of Van and its surroundings during the instrumental period and to determine to cluster. Spatial cluster analyses play an important role in examining the distribution of seismicity. The data used in the study have been taken from the database system of the Earthquake Department of the Republic of Turkey Ministry of Interior Disaster and Emergency Management Presidency. Moran’s I and Getis-Ord Gi methods from spatial autocorrelation techniques were preferred on the earthquake data set to be used in this research. It has aimed to determine the dangerous areas by testing the earthquake distributions in clustered regions via spatial autocorrelation techniques.
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