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Calculating Sedimentation Loads from Unpaved/Logging Roads Tom Ballestero University of New Hampshire 1 May 2013 1 Fundamental Causes of Erosion • • • • • • • Climate Land Use Soil Type Land Cover Topography Groundwater Surface water 2 Climate • • • • • Wind Precipitation Waves Glaciers Freeze/thaw 3 Land Use • • • • • Grazing Construction Deforestation/logging Forested Urban 4 Soil Type • For gravel roads, this is going to be gravel • Most erodible materials are fine sands to silts 5 Land Cover • Vegetation • Pavement • Bare soil 6 Topography • Slope (gravity) • Slope length 7 Groundwater • Submerged soils have less ability to resist erosion (soil strength) • Groundwater places a pressure on the soil against gravity 8 Surface Water • Velocity • Depth of flow Shear stress related to depth times slope – Sheet flow – Shallow concentrated – Rills – Gullies 9 Fundamentally • Sediment is available • Something can move the sediment 10 Erosion Control • Minimize sediment available to move (protect) – prevent erosion • Eliminate what moves the sediment (drain) 11 After Erosion Occurred • Now in management mode – how best to remove the sediment before it gets to the receiving water? 12 Reid and Dunne, 1984 13 Methods to Estimate Erosion on Unpaved Roads 14 Universal Soil Loss Equation (USDA) • Developed from erosion plot and rainfall simulator experiments • Sheet and rill erosion 15 USLE A = R x K x LS x C x P = RKLSCP • A = long‐term average annual soil loss [ton/(acre/year)] • R = rainfall erosivity factor [hundreds of ft.tonsf.in/acre.hr.year] • K = the soil erodibility factor [tons per acre per unit R] • L and S = topographic factors [‐] • C and P = the cropping management factors [‐] 16 17 18 19 20 Road Gravel Particle Sizes 21 • 38 mm • 19 mm • 4.75 mm • 2 mm • 0.075 mm 22 23 24 25 LS Values for Freshly Prepared Construction and other Highly Disturbed Soil, with Little, or no Cover (Renard, et al. 1987) 26 27 28 29 30 Wait, There’s More! • MUSLE • RUSLE I don’t always compute soil loss, but when I do I start with the USLE Stay uneroded my friend 31 Water Erosion Prediction Project (USDA) • Process based erosion model that can be used to simulate low volume road erosion • Database of erosion estimates for 72,900 different road configurations, locations, and soil types • Database was then used to derive equations for low volume road erosion and runoff (+/‐ 20%) 32 WEPP Road Soil Loss 33 Equation Reference Table 3 34 Equation Reference Table 4 35 WEPP Predictive Power 36 WEPP Reference 37 Imhoff, et al, 2010 38 Imhoff, et al, 2010 39 SEDMODL (WEPP with GIS) GIS‐based road erosion and delivery model designed to identify road segments with high potential for delivering sediment to streams. The model uses an elevation grid combined with road and stream information layers to produce what is essentially a computer‐generated version of the Washington surface road erosion model. It estimates background sediment, generation of sediment for individual road segments, finds road/stream intersections, and estimates delivery of road sediment to streams. http://www.ncasi.org/support/downloads/Detail.aspx?id =5 40 41 Effects of Grading 42 43 44 Tread (Road) Sediment Delivery 45 Geologic Factor 46 Road Tread Surfacing Factor 47 Road Width and Traffic Factors (1) 48 Road Width and Traffic Factors (2) 49 Road Slope Factor 50 Cut Slope Sediment Delivery 51 Cut Slope Height 52 Data Base for Cut Slope Height 53 Cut Slope Cover Factor 54 Rainfall Factor 55 Road Delivery Factor 56 Road Age Factor 57 Segment Length/Road Drainage Configuration 58 Segment Lengths Used for Each Configuration 59 Spreadsheet Tool for Estimating Pollutant Load (STEPL) • Region 5 Model • http://it.tetratech‐ffx.com/steplweb/ • Spreadsheet model based on the USLE 60 Simple Method • Planning tool • Assess different best management practices at the watershed and subwatershed scale • estimates contaminant loads based on: – – – – land use, annual runoff, drainage area, and system performance • does not factor in volume reductions for infiltration 61 62 Simple Method with BMPs L = 0.226 * R * C * A * RE • L = Annual load (lbs) • R = Annual runoff (inches) • C = Pollutant concentration (mg/l) • A = Area (acres) • 0.226 = Unit conversion factor • RE=Best Management Practice removal efficiency (%) 63 BMP Sediment Removal 64 Brackett Road Case Study 65 66 Many Bad Examples 67 Predominant Pollutant Concentrations 68 Sediment From Each Site 69 Estimated Unpaved Sediment 4.6 Tons/acre/year 70 Ranking of Alternatives 71 Simple Reference 72 Rates • TN – 25 tons/acre/year • NC – 100 tons/acre/year • CA – 2 to 480 tons/acre/year For a 15‐ft wide gravel road, 1 ton/acre/year ~ 0.083 inches/year Range of loss = 1/6 in to 3.3 in/yr 73 Northeast Regional Climate Center • Home Page http://precip.eas.cornell.edu/ • Extreme Precipitation http://precip.eas.cornell.edu/ • Map Tool http://precip.eas.cornell.edu/ 74 Map Tool 75 76 77 StreamStats • Home Page http://streamstats.usgs.gov/ • State Application http://streamstats.usgs.gov/ssonline.html 78