Masters Theses

Abstract

"Karst terrain is considered to be a very complex topography compared with most other geological environments. Many features can be observed such as sinkholes, air-filled cavities, losing streams, and solution widened joints. These karst features can cause subsidence and damage infrastructure such as buildings and roads thus causing economic hardship and disruption of life. The typical geological and hydrological studies are not enough to understand the karst processes.

For this reason, two geophysical methods were involved in investigating the subsurface in the study area. In this research, the electrical resistivity tomography (ERT) and multichannel analysis of surface wave (MASW) data were acquired in Greene County southwest Missouri. The ERT is a geophysical method that more frequently used to map variations in lithology and moisture content in complex subsurface areas such as karst. MASW data were used to constrain to ERT interpretations, particularly the depth to bedrock.

The study aims were to use ERT and MASW to map the variable depth of the top bedrock, differentiate the anomaly zones of resistivity that can be caused naturally or by man-made, mapping variations in rock quality, mapping joint sets, and identifying possible. According to the interpretation of the ERT data, it is concluded that anomalies zones were attributed to the seepage of moisture content through the natural and man-made drainage pathways and the area that contain prominent joint sets"--Abstract, page iii.

Advisor(s)

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

Committee Member(s)

Rogers, J. David
Torgashov, Evgeniy V.

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

M.S. in Geological Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2019

Pagination

ix, 48 pages

Note about bibliography

Includes bibliographical references (pages 46-47).

Rights

© 2019 Ibrahim Faisal Alshareef, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11582

Electronic OCLC #

15341589

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