Detecting abnormal seismic activity areas of Anatolian plate and deformation directions using Python Geospatial libraries

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Güneyli H.

Heliyon, cilt.1, sa.1, ss.1-11, 2023 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 1 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.heliyon.2023.e14394
  • Dergi Adı: Heliyon
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.1-11
  • Çukurova Üniversitesi Adresli: Evet

Özet

Various inaccurate traditional models have resulted in major ambiguities and gaps in the interpretation

of Anatolian plate deformation directions. To address this issue, a GIS-based spatial

statistical analysis method was used for the first time to detect the directional distribution of

deformation along the Anatolian Plate in Turkey. Two strategies were used in this study: firstly,

identifying the abnormally active seismic areas by detecting significant hotspot and cold spot

clusters and confirming this detection using optimized hotspot analysis for earthquake events that

occurred from 1900 to the end of 2019. Secondly, detecting the directional distribution of

deformation using a Standard Deviational Ellipse (SDE) by calculating the standard deviation of

the x and y coordinates from the mean center for each set of earthquake events in the Anaconda

Python Platform and ArcGIS 10.8 software. Our improved geostatistical analysis results confirmed

the existence of abnormal seismic hazard zones within the study area and three deformation

directions: the east-west trend, the southeast-northwest trend, and the south-north trend.