Doctoral Dissertations

Keywords and Phrases

ERT; Karst terrain; MASW; Sinkhole; Southeast Missouri; SuperSting R8


"Electrical Resistivity Tomography (ERT) and Multi-channel Analysis of Surface Waves (MASW) methods were used to image the subsurface in karst terrain in the southeast of Missouri. A SuperSting R8 system was used to acquire the ERT profiles; a multi-channel engineering seismograph was used to acquire the MASW data. The latter data were used to constrain and verify the ERT interpreted depth to top-of-rock and soil thickness. The ERT data were used to delineate the soil/rock interface and to identify zones of anomalously high moisture content within the bedrock.

The primary objective of the research was to determine the cause of identified zones of high moisture content within the bedrock and to differentiate anomalously conductive zones that were mostly 'man-made' from those that were mostly of 'natural' origin. Field observations and air photographs were used for this purpose.

Herein, seven ERT profiles are presented. Five (5) of the low resistivity bedrock anomalies identified on these ERT profiles are classified as primarily 'man-made'; the other four (4) are classified as primarily 'natural' in origin. Based on the assessment of the entire ERT data set, it is concluded that there are no significant statistical differences between the ERT signatures of the 'man-made' and 'natural' zones of high moisture content. Determinations about the cause of low resistivity zones identified on ERT data is best done based on field observations and air photographs"--Abstract, page iii.


Anderson, Neil L. (Neil Lennart), 1954-

Committee Member(s)

Rogers, J. David
Torgashov, Evgeniy V.
Gao, Stephen S.
Liu, Kelly H.


Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Geological Engineering


Missouri University of Science and Technology

Publication Date

Spring 2020


ix, 93 pages

Note about bibliography

Includes bibliographic references (pages 89-92).

Geographic Coverage



© 2020 Hassan Abdullah Alzahrani, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 11666

Electronic OCLC #