Abstract
Egypt, for its location in the northeastern corner of Africa, is exposed to continuous tectonic activities. To the North, the subduction of the oceanic African plate under the Eurasian plate provides a seismic activity along the Hellenic and Cyprian arcs. To the East, Egypt is affected by the divergence between the African and Arabian plates along the Red Sea. The E-W fault trend is one of the three main fault trends in Egypt and it starts at the northern tip of the Gulf of Suez towards Cairo. Moreover, the government is planning to expand economically development along the Cairo-Suez Province. Most of the new housing and industrial cities are located between Cairo and Suez. To estimate of crustal deformation in the region, ∼140 Sentinel-1 SAR images were collected and distributed equally over 7 years (2015–2021). The PSI processing is applied to calculate a Line-of-sight velocity field. A GNSS station that exists in the area of study “SUEZ” as well as a close station “KATA” are analyzed using Bernese software V. 5 to validate InSAR results. The estimated horizontal velocities show the northwestern part of the study area is moving westward with 3–4 mm/yr while the southeastern zone is moving eastward with 2–4 mm/yr. The configuration of motion indicates a strike-slip motion along the local E-W fault. The velocity rate obtained from Bernese software for SUEZ station is 2 ± 0.35 mm/yr in the northeastern direction. Vertically, the northwestern part of the study area shows uplift rate of 2 mm/yr while the southeastern part along the coast of the Gulf of Suez subsides with 4–5 mm/yr. For GNSS, SUEZ station is shown to have an uplift rate of 1.55 ± 0.40 mm/yr. A remarkable agreement is noticed between the results of InSAR and GNSS for both horizontal and vertical components. Decision makers shall take such results into consideration while the large planning of investments in promising areas.
Acknowledgments
The authors would like to express gratitude to the team of National Research Institute of Astronomy & Geophysics (NRIAG) for the field collection of GNSS data. We are also grateful for the European Space Agency (ESA) for its open-access policy to provide Sentinel-1 products. Most of the plots in this paper are generated using Generic Mapping Tools (GMT) V. 6.3. The SRTM30 Digital Elevation Model of 30-meter resolution is downloaded from GMTSAR website.
-
Research ethics: Not applicable.
-
Informed consent: Not applicable.
-
Author contributions: Data collection and Formal analysis, Ahmed Nabil; Methodology, Mohamed Elashquer; Validation, Mohamed Saleh; Writing – original draft, Ahmed Nabil; Final Reviewing, Ashraf Mousa and Gamal El-fiky. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Use of Large Language Models, AI and Machine Learning Tools: None declared.
-
Conflict of interest: The authors state no conflict of interest.
-
Research funding: None declared.
-
Data availability: 1. InSAR Data: The analyzed datasets are available through the platforms of FRENCH ACCESS TO THE SENTINEL PRODUCTS (cnes peps: https://peps.cnes.fr/rocket/#/search?maxRecords=50&page=1) and/or through NASA EARTH DATA platform (Alaska Satellite Facility ASF: https://search.asf.alaska.edu/#/?zoom=9.127¢er=31.124, 30.001). 2. GNSS Data: The analyzed data were collected by a team of National Research Institute of Astronomy and Geophysics (NRIAG). The data that support the findings of this study are available from [NRIAG] but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of [NRIAG]. Two of the authors are members of NRIAG.
References
1. Egyed, L. A new dynamic conception of the internal constitution of the Earth. Geol Rundsch 1957;46:101–21. https://doi.org/10.1007/bf01802887.Search in Google Scholar
2. Galimov, E. Redox evolution of the Earth caused by a multi-stage formation of its core. Earth Planet Sci Lett 2005;233:263–76. https://doi.org/10.1016/j.epsl.2005.01.026.Search in Google Scholar
3. Oversby, V, Ringwood, A. Time of formation of the Earth’s core. Nature 1971;234:463–5. https://doi.org/10.1038/234463a0.Search in Google Scholar
4. Wetherill, GW. Formation of the Earth. In: Annual review of earth and planetary sciences. Volume 18 (A91-15219 04-46). Palo Alto, CA, annual reviews, Inc., 1990, p. 205-256; 1990, vol 18:205–56 pp.10.1146/annurev.earth.18.1.205Search in Google Scholar
5. Stampfli, G, Hochard, C, Vérard, C, Wilhem, C, vonRaumer, J. The formation of pangea. Tectonophysics 2013;593:1–19. https://doi.org/10.1016/j.tecto.2013.02.037.Search in Google Scholar
6. McClusky, S, Reilinger, R, Mahmoud, S, Ben Sari, D, Tealeb, A. GPS constraints on Africa (Nubia) and Arabia plate motions. Geophys J Int 2003;155:126–38. https://doi.org/10.1046/j.1365-246x.2003.02023.x.Search in Google Scholar
7. Moustafa, A. Earthquake engineering: from engineering seismology to optimal seismic design of engineering structures. Minia, Egypt: Minia University; 2015.10.5772/58499Search in Google Scholar
8. Buffardi, C, Ruberti, D. The issue of land subsidence in coastal and alluvial plains: a bibliometric review. Rem Sens 2023;15:2409. https://doi.org/10.3390/rs15092409.Search in Google Scholar
9. Saleh, M, Becker, M. New estimation of Nile Delta subsidence rates from InSAR and GPS analysis. Environ Earth Sci 2019;78:1–11. https://doi.org/10.1007/s12665-018-8001-6.Search in Google Scholar
10. Gamal, E-F, Reddy, C, Tealeb, A. GPS derived velocity and crustal strain field in the vicinity of Cairo city, Egypt. Geol Soc India 2004;63:449–52.Search in Google Scholar
11. Youssef, N. The regional structure map of Egypt. Am Assoc Pet Geol Bull 1986;52:601–14.Search in Google Scholar
12. Kebeasy, R. Seismicity in geology of Egypt (R. Said). Rotterdam: AA Balkerma; 1990.Search in Google Scholar
13. Henaish, A, El Shinawi, A, Awad, M. Internal architecture and structural evolution of a horst relay zone from the northern Gulf of Suez rift, Egypt: implications for syn-rift sedimentation. Mar Petrol Geol 2023;150:106170. https://doi.org/10.1016/j.marpetgeo.2023.106170.Search in Google Scholar
14. Henaish, A, Attwa, M, Zamzam, S. Integrated structural, geophysical and remote sensing data for characterizing extensional linked fault systems and related land deformation hazards at Cairo-Suez District, Egypt. Eng Geol 2023;314:106999. https://doi.org/10.1016/j.enggeo.2023.106999.Search in Google Scholar
15. Saleh, AM, Moustafa, AR, Khafagy, A. Structural setting of the area south and southwest of Gebel Abu Shama, Cairo–Suez district. Sedimentol Egypt 2020;25:163.Search in Google Scholar
16. Moustafa, A, El-Badrawy, R, Gibali, H, Eloui, M. Pervasive E-ENE oriented faults in the northern Egypt and their relationship to Late Cretaceous petroliferous basins in the northern Western Desert. In: Proceedings of 14th egyptian general petroleum corporation exploration and production conference. Cairo; 1998, vol 1:51–67 pp.Search in Google Scholar
17. Moustafa, AR, Abd‐Allah, AM. Transfer zones with en echelon faulting at the northern end of the Suez rift. Tectonics 1992;11:499–506. https://doi.org/10.1029/91tc03184.Search in Google Scholar
18. Henaish, A. Soft-linkage transfer zones: insights from the northern eastern desert, Egypt. Mar Petrol Geol 2018;95:265–75. https://doi.org/10.1016/j.marpetgeo.2018.05.005.Search in Google Scholar
19. Henaish, A. Fault-related domes: insights from sedimentary outcrops at the northern tip of the Gulf of Suez rift, Egypt. Mar Petrol Geol 2018;91:202–10. https://doi.org/10.1016/j.marpetgeo.2018.01.009.Search in Google Scholar
20. Badawy, A. Historical seismicity of Egypt. Acta Geod Geophys Hung 1999;34:119–35. https://doi.org/10.1007/bf03325564.Search in Google Scholar
21. Ambraseys, NN, Melville, CP, Adams, RD. The seismicity of Egypt, arabia and the Red Sea. Cambridge University Press; 1994.10.1017/CBO9780511524912Search in Google Scholar
22. Maamoun, M, Megahed, A, Allam, A. Seismicity of Egypt. Bull HIAG 1984;4:109–60.Search in Google Scholar
23. Badawy, A, Omar, K, Gad-El-Kareem, AM, Mohamed, EK, Badreldin, H. Source characterizations of the New Cairo earthquake, Egypt. J Afr Earth Sci 2020;167:103846. https://doi.org/10.1016/j.jafrearsci.2020.103846.Search in Google Scholar
24. Geoscience, Australia. Website of Australian government. https://www.ga.gov.au/scientific-topics/positioning-navigation/geodesy/geodetic-techniques/interferometric-synthetic-aperture-radar [Accessed 25 Jan 2024].Search in Google Scholar
25. SatSense. What is InSAR. https://satsense.com/what-is-insar [Accessed 28 Sep 2024].Search in Google Scholar
26. European Space Agency (ESA). https://sentinel.esa.int/web/sentinel/missions/sentinel-1/overview/mission-summary [Accessed 20 Aug 2021].Search in Google Scholar
27. Alaska Satellite Facility (NASA). ASF data search. https://search.asf.alaska.edu/#/ [Accessed 20 Aug 2021].Search in Google Scholar
28. CNES PEPS. French access to the sentinel products, the French government. https://peps.cnes.fr/rocket/#/search?maxRecords=50&page=1 [Accessed 20 Aug 2021].Search in Google Scholar
29. Hooper, A, Bekaert, D, Spaans, K, Arıkan, M. Recent advances in SAR interferometry time series analysis for measuring crustal deformation. Tectonophysics 2012;514:1–13. https://doi.org/10.1016/j.tecto.2011.10.013.Search in Google Scholar
30. Hooper, A, Segall, P, Zebker, H. Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcán Alcedo, Galápagos. J Geophys Res Solid Earth 2007;112. https://doi.org/10.1029/2006jb004763.Search in Google Scholar
31. NRIAG. Egyptian permanent GNSS Network (EPGN). https://www.nriag.sci.eg/egyptian-permanent-gnss-network-epgn/ [Accessed 27 Aug 2021].Search in Google Scholar
32. Dach, HR, Fridez, U, Meindl, P. Bernese GPS software version 5.0 manual. Helwan, Egypt: Astronomical Institue, University of Berne; 2007.Search in Google Scholar
33. Saleh, M, Elhadidy, M, Masson, F, Rayan, A, Mohamed, A-MS, Abou-Aly, N. Earthquake recurrence estimation of Dahshour area, Cairo, Egypt, using earthquake and GPS data. Nat Hazards 2023;116:3565–82. https://doi.org/10.1007/s11069-023-05825-1.Search in Google Scholar
34. Saleh, M, Becker, M. A new velocity field from the analysis of the Egyptian Permanent GPS Network (EPGN). Arabian J Geosci 2014;7:4665–82. https://doi.org/10.1007/s12517-013-1132-x.Search in Google Scholar
35. Briole, P, Ganas, A, Elias, P, Dimitrov, D. The GPS velocity field of the Aegean. New observations, contribution of the earthquakes, crustal blocks model. Geophys J Int 2021;226:468–92. https://doi.org/10.1093/gji/ggab089.Search in Google Scholar
36. Radwan, H, Radwan, A. Crustal deformation behavior of the southern part of the Gulf of Suez, as deduced from geodetic and geophysical studies. In: Presented at the near surface geoscience 2014 – 20th european meeting of environmental and engineering geophysics. Athens; 2014.10.3997/2214-4609.20141966Search in Google Scholar
37. Hamada, M, Gaber, H, Saleh, M, Badreldin, H, ElKhouly, SH, El-Sharkawy, A, et al.. Seismotectonic map of the Sinai triple junction. J Afr Earth Sci 2024;221:105464. https://doi.org/10.1016/j.jafrearsci.2024.105464.Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Special Issue: Joint International Symposium on Deformation Monitoring 2025
- Impact of mathematical correlations
- Employing variance component estimation for point cloud based geometric surface representation by B-splines
- Deterministic uncertainty for terrestrial laser scanning observations based on intervals
- Investigating the potential of stochastic relationships to model deformations
- Laser scanning based deformation analysis of a wooden dome under load
- Classifying surface displacements in mining regions using differential terrain models and InSAR coherence
- Water multipath effect in Terrestrial Radar Interferometry (TRI) in open-pit mine monitoring
- Multi-temporal GNSS, RTS, and InSAR for very slow-moving landslide displacement analysis
- Reviews
- Evaluation of the regional ionosphere using final, ultra-rapid, and rapid ionosphere products
- Experiences with techniques and sensors for smartphone positioning
- Original Research Articles
- Crustal deformation estimation using InSAR, West of the Gulf of Suez, Egypt
- Factors affecting the fitting of a global geopotential model to local geodetic datasets over local areas in Egypt using multiple linear regression approach
- Utilization of low-cost GNSS RTK receiver for accurate GIS mapping in urban environment
- Seasonal variations of permanent stations in close vicinity to tectonic plate boundaries
- Time-frequency and power-law noise analyzes of three GBAS solutions of a single GNSS station
- A 2D velocity field computation using multi-dimensional InSAR: a case study of the Abu-Dabbab area in Egypt
Articles in the same Issue
- Frontmatter
- Special Issue: Joint International Symposium on Deformation Monitoring 2025
- Impact of mathematical correlations
- Employing variance component estimation for point cloud based geometric surface representation by B-splines
- Deterministic uncertainty for terrestrial laser scanning observations based on intervals
- Investigating the potential of stochastic relationships to model deformations
- Laser scanning based deformation analysis of a wooden dome under load
- Classifying surface displacements in mining regions using differential terrain models and InSAR coherence
- Water multipath effect in Terrestrial Radar Interferometry (TRI) in open-pit mine monitoring
- Multi-temporal GNSS, RTS, and InSAR for very slow-moving landslide displacement analysis
- Reviews
- Evaluation of the regional ionosphere using final, ultra-rapid, and rapid ionosphere products
- Experiences with techniques and sensors for smartphone positioning
- Original Research Articles
- Crustal deformation estimation using InSAR, West of the Gulf of Suez, Egypt
- Factors affecting the fitting of a global geopotential model to local geodetic datasets over local areas in Egypt using multiple linear regression approach
- Utilization of low-cost GNSS RTK receiver for accurate GIS mapping in urban environment
- Seasonal variations of permanent stations in close vicinity to tectonic plate boundaries
- Time-frequency and power-law noise analyzes of three GBAS solutions of a single GNSS station
- A 2D velocity field computation using multi-dimensional InSAR: a case study of the Abu-Dabbab area in Egypt