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Title: Using Readily Available Data and GIS to Map Sinkhole Risk in the Karst Counties of Virginia
Accession Number: 01628091
Record Type: Component
Abstract: The following study proposes a methodology for taking readily available geographic information system (GIS) data and using that to create sinkhole susceptibility maps, pinpointing regions prone to future sinkhole development. Susceptibility can be determined by extracting data from GIS databases of factors previously shown to accelerate sinkhole formation. This inexpensive and noninvasive methodology allows input factors to be adjusted to accommodate mapping of various regions across the globe. The methodology was tested using the counties in and adjacent to the Valley and Ridge geologic region of Virginia, which are heavy in karst. The five risk factors previously shown to play a role in Virginian sinkhole formation examined in this study include: bedrock type, proximity to fault lines, drainage class, slope of incised river banks, and soil depth above bedrock. Two susceptibility maps were created. This first combines all five risk factors with equal weight. The second map created used sensitivity analyses to weight each of the five factors with respect to that factors’ influence on predicting sinkhole risk. The following results were found with in the sensitivity analysis: bedrock type has the most significant impact on predicting sinkhole risk, drainage class is the second most influential factor in sinkhole formation behind bedrock type, proximity to faults and depth of overlying soil to bedrock play minimal, yet present, roles in determining sinkhole risk, and slope of incised river bank played no role in the formation of sinkholes in Virginia.
Supplemental Notes: This paper was sponsored by TRB committee AFP10 Standing Committee on Engineering Geology.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-00410
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Todd, Alexandra LIvey-Burden, LindsayPagination: 16p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Geotechnology; Highways; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-00410
Files: PRP, TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:03AM
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