Clustering Analysis of the Seismicity of Van Province and Its Surroundings Via Spatial Autocorrelation Techniques Filters

dc.authorwosid Perihanoglu, Güzide/Hoc-7919-2023
dc.contributor.author Perihanoglu, Guzide Miray
dc.contributor.author Bilginer, Omer
dc.contributor.author Akyel, Elif
dc.date.accessioned 2025-05-10T17:37:13Z
dc.date.available 2025-05-10T17:37:13Z
dc.date.issued 2022
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Perihanoglu, Guzide Miray] Van Yuzuncu Yil Univ, Van, Turkey; [Bilginer, Omer; Akyel, Elif] Izmir Katip Celebi Univ, Izmir, Turkey en_US
dc.description.abstract 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 Anatolian Compressive Tectonic Block. The aim of this study is to analyze the spatial patterns of earthquakes with magnitude 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. en_US
dc.description.sponsorship Republic of Turkey Ministry of Internal Affairs, Department of Disaster and Emergency Management, Earthquake Department en_US
dc.description.sponsorship The authors would like to thank the Republic of Turkey Ministry of Internal Affairs, Department of Disaster and Emergency Management, Earthquake Department for their support in obtaining the data. en_US
dc.description.woscitationindex Emerging Sources Citation Index
dc.identifier.doi 10.24425/agg.2022.141298
dc.identifier.issn 2720-7242
dc.identifier.issue 2 en_US
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.24425/agg.2022.141298
dc.identifier.uri https://hdl.handle.net/20.500.14720/14310
dc.identifier.volume 71 en_US
dc.identifier.wos WOS:000904437600004
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Polska Akad Nauk, Polish Acad Sciences en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Earthquake en_US
dc.subject Geographical Information System (Gis) en_US
dc.subject Spatial Autocorrelation en_US
dc.subject Van Province en_US
dc.title Clustering Analysis of the Seismicity of Van Province and Its Surroundings Via Spatial Autocorrelation Techniques Filters en_US
dc.type Article en_US
dspace.entity.type Publication

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