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:
  Bridges Deterioration By Environmental Action Electrical Resistivity Imaging Erosion Erosion Control Erosion Rate Scour Soil Erosion Soils
• 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.
  
  
• Format:
  PDF
• Funding:
  C2045
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:31d190b614bccf6357bc60fc8007e344aaaff96e9bd7aa6b999637a03893360c
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32126/dot_32126_DS1.pdf
• File Type:
  [PDF - 2.80 MB ]