Using 2D and 3D CVES in Archaeology at Umm Qais, Jordan


	Journal of Applied Sciences
	Year: 2017 \| Volume: 17 \| Issue: 1 \| Page No.: 41-47 DOI: 10.3923/jas.2017.41.47

Using 2D and 3D CVES in Archaeology at Umm Qais, Jordan

Abd El-Rahman Abueladas, Emad Akawwi

, Rami Al-Ruzouq and Abdallah Alzoubi

Abstract: Background and Objective: Geophysical prospecting involving the use of 2D and 3D electrical resistivity imaging techniques have been carried out in order to study and investigate the archeological features at Umm Qais area. Materials and Methods: That used in this study is a Wenner-Schulmberge array configuration using a multielectrode system, with 48 electrodes equally spaced was carried out in the study area, which represents a complex collection of landscape elements from a number of historic periods: Roman, Byzantine and Islamic. This array configuration is moderately sensitive to both horizontal and vertical structures. The 2D resistivity data were collated and inverted into 3D images. The interpreted resistivity data shows the existence of anomalies. Results: Results of this study show that the maximum depth of investigation survey is 43 and 14 m for the 2D and 3D resistivity, respectively. Seven meters deep high resistive discontinuous layer beneath profile 1 may represent buried wall. The location and the depth of the ancient pool can be easy determined using the 3D continuous vertical electrical sounding. Conclusion: The using of 2D inverted to 3D imaging of the electrical resistivity is very useful for investigating the archeological features.

PDF Fulltext XML References Citation Report Citation

How to cite this article:

Abd El-Rahman Abueladas, Emad Akawwi, Rami Al-Ruzouq and Abdallah Alzoubi, 2017. Using 2D and 3D CVES in Archaeology at Umm Qais, Jordan. Journal of Applied Sciences, 17: 41-47.

DOI: 10.3923/jas.2017.41.47

URL: https://scialert.net/abstract/?doi=jas.2017.41.47

COMMENT ON THIS PAPER

	Full Name:
	E-mail:
	Comments:

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		AGRIS
		ASCI-Database
		Asian Digital Library
		Chemical Abstract Services
		Google Scholar

Follow @scialert

Science Alert