Doctoral Dissertations

Abstract

"Electrical resistivity tomography (ERT) data were acquired across a segment of an existing fly ash landfill in southwestern Missouri. The objective was to map potential karst features and identify probable groundwater seepage through and beneath the landfill.

Variations in the moisture content were mapped below and above the two liners (clay and synthetic) systems, the soil and bedrock. Seepage pathways were mapped through the fly ash and the underlying soil and rock. No visual evidence was found on any of the 3D ERT profiles of the presence of either pre-existing air-filled voids or pre-existing or newly infilled clay-filled voids. There was also no evidence that moisture was seeping into the subsurface through the basal clay liner.

Imaging beneath the geosynthetic liner system using the ERT technique was achieved due to the moisture resulted from permeability in the geosynthetic liner, which enabled the conduction of current through the geosynthetic liner.

Multichannel analysis of surface waves (MASW) data were acquired to constrain and verify the accuracy of the ERT interpretations. The interpretations of ERT data were consistent with MASW and borehole control.

Based on the investigation, it is concluded that the study site is devoid of karst features that could affect the landfill. The interpretation revealed no evidence of groundwater seepage pathways through the basal clay liner and, hence no potential hazard of groundwater contamination"--Abstract, page iii.

Advisor(s)

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

Committee Member(s)

Rogers, J. David
Gao, Stephen S.
Liu, Kelly H.
Sneed, Lesley

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

xiii, 102 pages

Note about bibliography

Includes bibliographic references (pages 97-101).

Rights

© 2017 Atiat Sgabab Qasun Alsaaideh, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11469

Electronic OCLC #

1104294841

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