Subsurface structure investigation of the United Arab Emirates using gravity data
Abstract: The crustal structure beneath the United Arab Emirates (UAE) is still relatively unknown. Here, we use regional gravity data to constrain the subsurface density distribution and structure of the crust of the UAE by applying diverse gravity derivatives methods such as horizontal derivative (HDR), analytic signal (AS), and tilt angle (TA) to analyze the subsurface structure and perform three-dimensional (3D) gravity inversion for imaging crustal structure from the surface down to 35 km depth. The results are compared with known geological regional structures and the location of the petroleum fields. The Bouguer anomalies range from −100.8 to 113.5 mGal. The 3D gravity inversion results and the maximum Bouguer values coincide with the ophiolitic Hajar mountains in the east and the successive anticlines (uplifted basement rocks) and synclines in different parts of UAE, which could be promising sites for future mining and petroleum exploration. Also, the 3D density model results and the minimum Bouguer anomalies are located over the Aruma Basin, eastern UAE Platform, and Low Central UAE Platform, which can be the places for deep groundwater aquifers. These new results from HDR, AS, and TA successfully identify known geological structures, especially in the eastern part of UAE.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Subsurface structure investigation of the United Arab Emirates using gravity data ; volume:13 ; number:1 ; year:2021 ; pages:262-271 ; extent:10
Open Geosciences ; 13, Heft 1 (2021), 262-271 (gesamt 10)
- Creator
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Saibi, Hakim
Hag, Diab Bakri
Alamri, Mohammed Saeed Mohammed
Ali, Hamdan Abdo
- DOI
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10.1515/geo-2020-0233
- URN
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urn:nbn:de:101:1-2501051654399.643461472832
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:32 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Saibi, Hakim
- Hag, Diab Bakri
- Alamri, Mohammed Saeed Mohammed
- Ali, Hamdan Abdo