Deep cavity systems detection in Al-Ain City, UAE, based on gravity surveys inversion

H. Saibi, Mohamed Amrouche, Abdel Rahman Fowler

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Sinkholes and subsurface cavities can pose a real challenge to the stability of engineering constructions due to the risk of ground collapse and subsidence. The city of Al-Ain (UAE) is known to have several geo-hazards related to shallow sinkholes and karst cavities that have been reported in the locally outcropping formations. In this study, a micro-gravimetric survey was carried out around Al-Ain city in order to explore the subsurface density distribution of the karstified formations. A total number of 452 gravity measurements, covering an area of approximatively 1600 km2 were used to invert the 3D density distribution to a depth of 1500 m. From this inversion, we have distinguished seven abnormally low density bodies ranging in size from 75 m to 750 m within the cavernous limestone Asmari Formation, consistent with a complex deep cavity system. The discovered cavities follow the local structural trend along the NW-SE direction, and lie within the high-risk areas of the geohazard map of Al-Ain city, in zones considered unstable in former geotechnical studies. The likely origin of the cavity systems is the dissolution of bedrock in water circulating in the limestone formations, along a connected shallow and deep fracture network. Further geophysical studies will be required to adequately map and investigate each deep cavity system, and to distinguish between the deep cavities and the shallow cavities reported in the area.

Original languageEnglish
Article number103937
JournalJournal of Asian Earth Sciences
Volume182
DOIs
Publication statusPublished - Sep 15 2019

Keywords

  • Al-Ain
  • Cavity systems
  • Geobody modeling
  • Gravity inversion
  • UAE

ASJC Scopus subject areas

  • Geology
  • Earth-Surface Processes

Fingerprint

Dive into the research topics of 'Deep cavity systems detection in Al-Ain City, UAE, based on gravity surveys inversion'. Together they form a unique fingerprint.

Cite this