Doctoral Dissertations
Abstract
"In northern Arkansas's Springfield and Boston Mountain Plateaus, distinctive geomorphological landslide features have shown historical continuity. USGS topographic maps (1:24,000, 7.5-minute series) serve as valuable resources for studying terrain characteristics and hydrological patterns.
This study uses a manual mapping approach with high-resolution LiDAR data and geological maps in a GIS environment. The method identifies historic landslide features by analyzing anomalous topographic contour patterns overlaid on LiDAR-derived hillshade maps, revealing various mass movements along the Buffalo National River. Data from the Office of State Geologist and fieldwork reconnaissance were utilized to map older landslide features with high confidence. Some previously unrecognized landslides were identified, and new features like scarps allowed for more precise classification. LiDAR hillslope maps improved spatial resolution and extended the landslide validation, especially in forested terrain. Combining manual mapping with LiDAR hillshade maps results in more than 80 % mass wasting estimates, depending on LiDAR data resolution.
XRD-2CLAY analysis of four samples of geologic formations, Atoka, Bloyd, Cane Hill Member of the Hale Formation, and Fayetteville Formation, revealed mica-smectite contents ranging from 13% to 18% with ethylene glycol and 3% to 9% at 350°C analyses. A preliminary regional landslide susceptibility mapping assessment assessed environmental and triggering factors using the analytic hierarchy processing (AHP) method. This approach identified landslide-prone areas, providing a reliable susceptibility map using GIS overlay techniques" -- Abstract, p. iii
Advisor(s)
Rogers, J. David
Committee Member(s)
Cawlfield, Jeffrey D.
Maurer, Jeremy
Wronkiewicz, David J.
Holmes, Robert R., 1965-
Department(s)
Geosciences and Geological and Petroleum Engineering
Degree Name
Ph. D. in Geological Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Summer 2024
Pagination
xix, 197 pages
Note about bibliography
Includes_bibliographical_references_(pages 184-195)
Rights
©2024 Abdurraouf Okok , All Rights Reserved
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 12402
Electronic OCLC #
1477929983
Recommended Citation
Okok, Abdurraouf, "Development of a Comprehensive Multi-Factored Methodology for Identification of Landslides in the Buffalo National River of Arkansas" (2024). Doctoral Dissertations. 3343.
https://scholarsmine.mst.edu/doctoral_dissertations/3343