Characterizing soil erosion potential using electrical resistivity imaging : final report.

Details

• Creators:
  Tucker-Kulesza, Stacey ; Karim, Md Zahidul
• Corporate Creators:
  Kansas State University. Transportation Center
• Corporate Contributors:
  Kansas. Dept. of Transportation. Bureau of Research
• Subject/TRT Terms:
  • Erosion
  • Erosion control
  • Soils
  • Scour
  • Deterioration by environmental action
  • Bridges
  • Soil erosion
  • erosion rate
  • electrical resistivity imaging
• Publication/ Report Number:
  K-TRAN: KSU-15-4
• Resource Type:
  Tech Report
• Geographical Coverage:
  Kansas ; United States
• Corporate Publisher:
  Kansas. Dept. of Transportation
• Abstract:
  The erosion rate, or erodibility, of soil depends on many soil characteristics including: plasticity, ; water content, grain size, percent clay, compaction, and shear strength. Many of these characteristics also ; influence soil in situ bulk electrical resistivity (ER) measurements. The objective of this study was to ; characterize soil erosion potential by correlating the in situ ER of soil with erodibility measured in an ; Erosion Function Apparatus (EFA) at Kansas State University. ER surveys were conducted at 15 bridge sites. ; Five soil samples were also collected at each site with a drill rig from the surface to 10 ft (3 m) using thinwalled ; Shelby tubes. The samples were tested in the EFA and classified according to the Unified Soil ; Classification System. Analysis showed that the rapid in situ data obtained from an ER field survey can be ; used to categorize the level of soil erodibility. As such, ER surveys may be used to characterize the soils at ; future bridge sites or prioritize existing bridges for additional testing to measure the scour potential. ; Moreover, ER surveys may be used to determine which existing bridges should be closed or closely ; monitored for scour potential during a flood event. Preliminary analytical models to predict soil critical shear ; stress using ER and other soil parameters were constructed. The selected preliminary model and ER ; prediction of soil erodibility were validated using one site.
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• Format:
  PDF
• Funding:
  C2045
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32126/dot_32126_DS1.pdf
• File Type:
  [PDF - 2.80 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:31d190b614bccf6357bc60fc8007e344aaaff96e9bd7aa6b999637a03893360c