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Detecting abnormal seismic activity areas of Anatolian plate and deformation directions using Python Geospatial
Hakan Güneyli1, Shaheen Mohammed Saleh Ahmed2
1Department of Geology, Cukurova University, Balcali-Adana, Turkey.
This study uses GIS spatial statistics to analyze Anatolian plate deformation. It identifies seismic hotspots and reveals three main deformation directions: east-west, southeast-northwest, and south-north.
Area of Science:
- Geophysics
- Tectonics
- Spatial Statistics
Background:
- Traditional models of Anatolian plate deformation present ambiguities and gaps.
- Accurate interpretation of plate movement is crucial for seismic hazard assessment.
Purpose of the Study:
- To apply GIS-based spatial statistical analysis for detecting directional deformation patterns of the Anatolian Plate.
- To identify abnormally active seismic zones and determine dominant deformation trends.
Main Methods:
- Utilized optimized hotspot analysis for earthquake data (1900-2019) to detect seismic clusters.
- Employed Standard Deviational Ellipse (SDE) analysis to determine directional deformation trends.
- Integrated Anaconda Python and ArcGIS 10.8 for geostatistical analysis.
Main Results:
- Confirmed the presence of abnormal seismic hazard zones within the Anatolian Plate.
- Identified three primary directions of plate deformation: east-west, southeast-northwest, and south-north.
- Provided a novel geostatistical approach for analyzing plate tectonics.
Conclusions:
- The GIS-based spatial statistical method effectively reveals seismic hazard zones and deformation directions.
- The identified deformation trends offer improved insights into Anatolian plate dynamics.
- This approach enhances the understanding of tectonic activity and seismic risk in the region.
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