A review of electrical resistivity tomography applications in underground imaging and object detection

Authors

Jullian Dominic Ducut, De La Salle University, Manila
Melchizedek I. Alipio, De La Salle University, Manila
Phoebe Joanne Go, De La Salle University, Manila
Ronnie S. Concepcion II, De La Salle University, Manila
Ryan Rhay P. Vicerra, De La Salle University, Manila
Argel A. Bandala, De La Salle University, Manila
Elmer P. Dadios, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

Displays

Volume

73

Publication Date

2022

Abstract

This work presents a comparative study of the state-of-the-art Electrical Resistivity Tomography applications in the context of underground imaging and object detection. Parameters such as data acquisition or mapping, array protocol, inversion model, geological site description, and number of profiles are used to compare each application. In addition, a classification of these applications in underground imaging and development of a thematic taxonomy are presented. The thematic taxonomy is based on the type of underground object detected and surveyed. This includes underground utilities, underground cavities, old and ancient structures, fault zones and potential construction sites, hydrological features, and bedrock, concrete, and other objects. Finally, the issues and challenges are identified from each solution.

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Recommended Citation

Ducut, J., Alipio, M. I., Go, P., Concepcion, R. S., Vicerra, R. P., Bandala, A. A., & Dadios, E. P. (2022). A review of electrical resistivity tomography applications in underground imaging and object detection. Displays, 73 Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/14084

Disciplines

Engineering

Keywords

Inversion (Geophysics); Prospecting—Geophysical methods; Underground construction

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