Masters Theses

Author

Mengxing Li

Abstract

"Multichannel analyses of surface wave (MASW) data and electrical resistivity tomography (ERT) control were acquired at two test sites in central Missouri. Limestone bedrock existed at both test sites at variable depths. The ground surface at both test sites was relatively flat.

The primary objective was to map the variable depth to the top of the rock based on shear-wave velocity contrasts. ERT data and borehole control were acquired at each site in order to constrain the interpretation of the MASW data.

The MASW method proved to be more effective than the ERT method in terms of mapping soil layers in areas where the soils were dry and thin and underlain by dry, weathered rock (Lane Springs study site). However, the ERT method proved to be effective in areas where the soils were thicker and moist (Jefferson City study site). The ERT method proved to be more accurate and reliable than the MASW method in terms of mapping variations in the depth to the top of the rock, especially where the bedrock was overlain by moist soils. The ERT method also proved to be the more effective method for mapping the karst features, such as solution-widened joints. The MASW method, in contrast, proved to be the more effective tool in terms of mapping the aquifer at Lane Springs"--Abstract, page iii.

Advisor(s)

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

Committee Member(s)

Cawlfield, Jeffrey D.
Maerz, Norbert H.

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

M.S. in Geological Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2012

Pagination

xi, 74 pages

Note about bibliography

Includes bibliographical references (page 73).

Geographic Coverage

Jefferson City (Mo.)
Lane Spring (Mo.)

Rights

© 2012 Mengxing Li, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Acoustic surface waves
Electrical impedance tomography
Shear waves
Surface waves -- Measurement

Thesis Number

T 9970

Print OCLC #

816348852

Electronic OCLC #

921853333

Share

Thesis Location

 
COinS