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1

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3 Terrain Preprocessing
(Arc Hydro) Surface Analysis (Spatial Analyst)

4 Terrain Analysis (TauDEM) Terrain Preprocessing (Arc Hydro)

5 Problems Fire Snowmelt Large Rainstorms

6

7 Roads

8 Roads Sediment is the number one pollutant in U.S. waterways.

9 Roads in Farmington Canyon

10 Past Debris Flows Sources:

11 PSIAC Method Pacific Southwest Inter Agency Committee (1968)
Annual Yield = e ^ (.0359 * FR) FR = Sediment Rating Factor = sum of (9) different factors.

12

13 Ys=a*[Q*qp]β*K*LS*CP*S
MUSLE Equation Ys=a*[Q*qp]β*K*LS*CP*S

14 Ys – Total Tons per Event Q – Storm Runoff (acre-ft)
qp – peak runoff (cfs)

15 a,β – storm factors Typical Rain Storm a=95 β=.56 Snow Melt Flood
β=.3

16 K – Soil Erodibility Factor LS – Slope Factor (length and steepness)
CP – Cover and Management Practice Factor SDR – Sediment Delivery Ratio

17 gs=a[Q*qp]^b*K*LS*CP*SDR
Q = Storm Runoff (acre-ft) qp= Peak runoff (cfs) a = 95 b= .56

18 Q=CIA Q=Runoff C=Runoff Coefficient
I=Intensity of rainfall (assume 1 in/hr) A=Area of Catchment

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20 C=.17

21 C=.3

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23

24 q= Accumulation of Catchment
Accumulation of Basin * Peak Flow

25 Accumulation of Each Catchment

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27 Peak Flow For Farmington Canyon

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29 K Factor

30 K Factor http://www.iwr.msu.edu/rusle/kfactor.htm
K factor is soil erodibility factor which represents both susceptibility of soil to erosion and the rate of runoff, as measured under the standard unit plot condition. Soils high in clay have low K values, about 0.05 to 0.15, because they resistant to detachment. Coarse textured soils, such as sandy soils, have low K values, about 0.05 to 0.2, because of low runoff even though these soils are easily detached. Medium textured soils, such as the silt loam soils, have a moderate K values, about 0.25 to 0.4, because they are moderately susceptible to detachment and they produce moderate runoff. Soils having a high silt content are most erodible of all soils. They are easily detached; tend to crust and produce high rates of runoff. Values of K for these soils tend to be greater than 0.4.

31 SSURGO No Data Found

32 STATSGO No Data Found

33

34 Soil Distribution

35 Soil Distribution (cont.)

36 Soil Distribution (cont.)

37 Soil Distribution (cont.)

38 Calculated K Factor Sample # 1 2 3 4 5 K(chart) 0.08 0.09 Sample # 6 7
%<.1 0.9 0.4 0.6 0.7 .1>%>2 59.4 62.1 44.2 41.4 60.3 %OM Structure Permeability K(chart) 0.08 0.09 Sample # 6 7 8 9 10 %<.1 0.7 1.0 2.4 0.9 .1>%>2 51.1 41.5 63.2 53.2 94.6 %OM 4 2 Structure 3 Permeability K(chart) .08 0.09 0.08 0.15 0.06 Sample # 11 12 13 14 15 %<.1 1.1 0.8 0.6 1.3 0.9 .1>%>2 76.7 77.0 65.1 60.6 26.2 %OM 4 Structure 3 Permeability 2 K(chart) 0.07 0.08

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41 The Value of Cp

42 http://landcover.usgs.gov/classes.asp Land Cover Classes -
Units in Square Miles 11 Water 12 Perennial Ice Snow 21 Low Intensity Residential 22 Hi Intensity Residential 23 Commercial/Industrial/Transportation 31 Bare Rock 32 Quarries/ Mines 33 Transitional 41 Deciduous Forest 42 Evergreen Forest 43 Mixed Forest 51 Shrub land 61 Orchards/ Vineyard 71 Grasslands/Herbaceous 81 Pasture/Hay 82 Row Crops 83 Small Grains 84 Fallow 85 Urban/Recreational Grasses 91 Woody Wetlands 92 Emergent/Herbaceous Wetlands State/Region Total

43 Spatial Analyst (reclassify)

44 Spatial Annalist (Zonal Statistics) Exporting the Data

45 http://landcover.usgs.gov/classes.asp Land Cover Classes -
Units in Square Miles 11 Water 12 Perennial Ice Snow 21 Low Intensity Residential 22 Hi Intensity Residential 23 Commercial/Industrial/Transportation 31 Bare Rock 32 Quarries/ Mines 33 Transitional 41 Deciduous Forest 42 Evergreen Forest 43 Mixed Forest 51 Shrub land 61 Orchards/ Vineyard 71 Grasslands/Herbaceous 81 Pasture/Hay 82 Row Crops 83 Small Grains 84 Fallow 85 Urban/Recreational Grasses 91 Woody Wetlands 92 Emergent/Herbaceous Wetlands State/Region Total

46

47 Sample of Excel Data GRIDID SHAPE_LENG SHAPE_AREA Area (acres)
MAJORITY Type of land cover Cp Value 17 51 Shrubland 0.06 18 34 35 36 39 40 41 42 Evergreen Forest 0.004 43 44 21 Low Intensity Residential 0.24 45 Mixed Forest 47 49

48 Canyon Vegetation

49 Wattles and sediment diversion and filtration techniques

50 Vegetation in Farmington Canyon

51 Catchment GridID

52 Cross Section Found Using 3-D Analyst

53 Accounts for length and Steepness of the Slopes
LS Factor Accounts for length and Steepness of the Slopes

54 Slope of Watershed

55 Mean Slope of Catchments Using zonal Statistics

56 LS Factor LS=(l/72.6)m((430sin2θ+30sinθ+0.43)/6.613)) Where
m =.5 Slope >5% l = slope length (ft) θ = slope Angle Degree

57 LS Factor Maximum = 185.7 Mean = 94.8 Minimum = 13.7
St. Deviation= 39.8

58 SDR Factor Sediment Delivery Ratio For low slope watersheds
SDR=(0.001/A)0.2 Farmington Canyon is not low Slope Assumed to be 1 because all the sediment is removed from the canyon.

59 Assumptions for MUSLE SDR is Equal to 1 Rainfall Event
1inch rainstorm over a 6-hr period. q=1.5Q Snowmelt Flood Used Peak Flow from Flood of 1983

60 Assumptions Continued
Collected K values represented entire watershed. LP was based on average slope that was uniform. The majority land cover represented the CP value for entire catchment.

61 Example Spreadsheet for MUSLE Calculation
Snowmelt Flood Rainfall Event LS K CP Q q Total Sediment (acre-ft) (cfs) (tons/event) 124.5 0.09 0.06 46.06 15.23 576.19 13.51 40.88 74.3 38.48 12.72 308.68 11.29 34.15 143.5 0.08 16.72 5.53 321.25 4.91 14.84 722.01

62 Rain Event Yield

63 Snowmelt Flood Yield

64 Final Numbers Sediment yield for Snowmelt Flood 10373 tons
Sediment yield for 1-inch rainstorm over 6 hour interval 8539 tons


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