Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary Zone
A comprehensive geostatistical analysis was conducted on a dataset comprising 24,321 seismic events in the Red Sea region, spanning from 1997 to 2020. This analysis involved the creation of a new seismic activity database, incorporating data from both Egyptian and Saudi Seismic Networks. This enrich...
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MDPI AG
2024-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/4/1455 |
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| author | Sayed S. R. Moustafa Mohamed H. Yassien Mohamed Metwaly Ahmad M. Faried Basem Elsaka |
| author_facet | Sayed S. R. Moustafa Mohamed H. Yassien Mohamed Metwaly Ahmad M. Faried Basem Elsaka |
| author_sort | Sayed S. R. Moustafa |
| collection | DOAJ |
| description | A comprehensive geostatistical analysis was conducted on a dataset comprising 24,321 seismic events in the Red Sea region, spanning from 1997 to 2020. This analysis involved the creation of a new seismic activity database, incorporating data from both Egyptian and Saudi Seismic Networks. This enriched database provided a robust foundation for a detailed examination of the seismic patterns and activities in the region. Utilizing geographic information systems and various spatial analytic methods, it identifies seismic patterns and tectonic influences. The findings reveal significant seismic clustering along the Central Red Sea axis, indicative of active rifting between the Nubian and Arabian plates. The study demonstrates spatial autocorrelation in seismic activities, with high-high clusters marking zones of elevated seismicity. Kernel Density Estimator analyses highlight concentrated seismic activity in the Gulfs of Aqaba and Suez. Higher magnitude events are shown to localize in areas of greater tectonic stress, aligning with known geological features. This research provides critical insights into the seismic dynamics of the Red Sea, showcasing the effectiveness of geostatistical techniques in analyzing seismic data in tectonically active regions. |
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| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-07T22:43:51Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-ba42642443784db9ad0ec3ce0347ca9a2024-02-23T15:06:02ZengMDPI AGApplied Sciences2076-34172024-02-01144145510.3390/app14041455Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary ZoneSayed S. R. Moustafa0Mohamed H. Yassien1Mohamed Metwaly2Ahmad M. Faried3Basem Elsaka4Egyptian National Seismic Network (ENSN), Seismology Department, National Research Institute of Astronomy and Geophysics (NRIAG), Cairo P.O. Box 11421, EgyptEgyptian National Seismic Network (ENSN), Seismology Department, National Research Institute of Astronomy and Geophysics (NRIAG), Cairo P.O. Box 11421, EgyptDepartment of Archeology, College of Tourism and Archeology, King Saud University, Riyadh P.O. Box 145111, Saudi ArabiaEgyptian National Seismic Network (ENSN), Seismology Department, National Research Institute of Astronomy and Geophysics (NRIAG), Cairo P.O. Box 11421, EgyptAstronomical, Physical and Mathematical Geodesy (APMG) Group, Institute of Geodesy and Geoinformation, University of Bonn, 53117 Bonn, GermanyA comprehensive geostatistical analysis was conducted on a dataset comprising 24,321 seismic events in the Red Sea region, spanning from 1997 to 2020. This analysis involved the creation of a new seismic activity database, incorporating data from both Egyptian and Saudi Seismic Networks. This enriched database provided a robust foundation for a detailed examination of the seismic patterns and activities in the region. Utilizing geographic information systems and various spatial analytic methods, it identifies seismic patterns and tectonic influences. The findings reveal significant seismic clustering along the Central Red Sea axis, indicative of active rifting between the Nubian and Arabian plates. The study demonstrates spatial autocorrelation in seismic activities, with high-high clusters marking zones of elevated seismicity. Kernel Density Estimator analyses highlight concentrated seismic activity in the Gulfs of Aqaba and Suez. Higher magnitude events are shown to localize in areas of greater tectonic stress, aligning with known geological features. This research provides critical insights into the seismic dynamics of the Red Sea, showcasing the effectiveness of geostatistical techniques in analyzing seismic data in tectonically active regions.https://www.mdpi.com/2076-3417/14/4/1455seismic hazardRed Seaspatial seismicityseismic networks |
| spellingShingle | Sayed S. R. Moustafa Mohamed H. Yassien Mohamed Metwaly Ahmad M. Faried Basem Elsaka Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary Zone Applied Sciences seismic hazard Red Sea spatial seismicity seismic networks |
| title | Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary Zone |
| title_full | Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary Zone |
| title_fullStr | Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary Zone |
| title_full_unstemmed | Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary Zone |
| title_short | Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary Zone |
| title_sort | applying geostatistics to understand seismic activity patterns in the northern red sea boundary zone |
| topic | seismic hazard Red Sea spatial seismicity seismic networks |
| url | https://www.mdpi.com/2076-3417/14/4/1455 |
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