Advisor

Rodgers, John C.

Committee Member

Cooke, WIliam H., III

Committee Member

Meng, Quigmin.

Committee Member

Sherman-Morris, Kathleen.

Date of Degree

1-1-2017

Document Type

Graduate Thesis - Open Access

Department

Department of Geosciences

Abstract

The Appalachian Mountains in eastern Tennessee are known for landslides, and landslides are reported to cause millions of dollars of damage. To aid in the estimation of future susceptibility, geographic information systems was used to perform a logistic regression, to identify landslides in eastern Tennessee. Landslide model results validated using Kold cross validation. The model results suggest that the environmental variables slope, soil, landcover/vegetation, and distance to roads were significant factors related to landslide susceptibility. The susceptibility map showed that 86.8% of urban areas in eastern Tennessee were at highest susceptibility for landslides, possibly due to lower amounts of landcover. By overlaying past landslides on landslide susceptibility for accuracy, areas with high landslide susceptibility were found in areas along main highways and interstates. This model is a first step in using GIS to increase the awareness of landslide susceptibility in the regions and may ultimately lead to better preparation.

URI

https://hdl.handle.net/11668/16629

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