Doctoral Dissertations

Keywords and Phrases

ERT; Karst Terrain; MASW

Abstract

"This study was designed to verify the effects and data reproducibility when the length of receiver array, receiver spacing, source offset and array orientation parameters are changed for data acquired using multichannel analysis of surface waves (MASW), at intended target depth of 30ft (9m), and to compare the results with electrical resistivity tomography (ERT) data obtained for the same study site.

The MASW data acquired for 34 sites, along four profiles for each site using variable source offsets of 10ft (3m) and 30ft (9.1m), and variable receiver spacings of 2.5ft (0.76m) and 5.0ft (0.76m), concurrently. Out of the 272 profiles studied, 136 profiles were oriented east-west, and 136 profiles were oriented north-south. The MASW data was used in conjunction with ERT data to ensure the accuracy of the ERT data.

The comparative analysis indicated the profile configuration measurements have significant influence on the quality of the data and that the best inversion analysis is obtained when the dispersion curves are created using the north-south oriented arrays.

The MASW survey study concluded that the most consistent and beneficial karst terrain dispersion images were those obtained from the predicted optimal acquisition, using receiver spacing (dx) = 2.5ft, source offset (X1) =10ft and depth of investigation of about 30ft"--Abstract, page iii.

Advisor(s)

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

Committee Member(s)

Rogers, J. David
Liu, Kelly H.
Gao, Stephen S.
Cawlfield, Jeffrey D.

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Geological Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2017

Pagination

xvi, 156 pages

Note about bibliography

Includes bibliographic references (pages 144-155).

Rights

© 2017 Ghassan Salem Alsulaimani, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11460

Electronic OCLC #

1091191444

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