Download presentation
Presentation is loading. Please wait.
3
Terrain Preprocessing
(Arc Hydro) Surface Analysis (Spatial Analyst)
4
Terrain Analysis (TauDEM) Terrain Preprocessing (Arc Hydro)
5
Problems Fire Snowmelt Large Rainstorms
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.
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
20
C=.17
21
C=.3
24
q= Accumulation of Catchment
Accumulation of Basin * Peak Flow
25
Accumulation of Each Catchment
27
Peak Flow For Farmington Canyon
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
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
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
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
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.