Appendix A: Water Quality Interpretation
Nutrients
Phosphorus
Phosphorus is an important nutrient in aquatic ecosystems. In most of Wisconsin’s surface water
ecosystems, phosphorus is the limiting nutrient; when all the phosphorus has been consumed, plant
growth will cease. An increase in the level of phosphorus will lead to more nitrogen consumption,
increasing the productivity of algae and aquatic plants (Wetzel, 2001). The oxygen consumption from an
increase of decomposing plant material can lead to fish kills. Excessive phosphorus can also cause taste
and odor problems in waters used for human consumption.
Phosphorus can come from human and animal wastes, soil erosion, detergents and other
household products, septic systems, fertilizers, and runoff from farmlands, lawns, and turf grass (Shaw et
al., 2002). Phosphorus is commonly transported to lakes and streams by surface runoff eroding soil
particles to which phosphorus adsorbs. Once the adsorption sites of a soil are exhausted, phosphorus can
leach into the groundwater and over time discharge to surface waters. Wetlands can both absorb and
release phosphorus, either by storage in sediments and plant tissues or by transport of phosphorus out of
the wetlands by flowing water. Other natural sources of phosphorus include aquatic plants leaching
phosphorus during periods of senescence, its release from lake sediments, and from decaying fish and
wildlife (Wetzel, 2001). The senescence of both aquatic and terrestrial plants causes seasonal fluctuations
in phosphorus.
Nitrogen
Nitrogen is another primary nutrient in aquatic ecosystems and is important for plant and animal
survival and growth. Elevated nitrogen concentrations can lead to abundant plant growth which in turn
may have devastating effects on stream and lake ecosystems, affecting aquatic plants, invertebrates, fish,
and humans. The increase in plant growth can affect the types of plants and ecological communities that
are present as available oxygen is decreased during the decomposition of plant material. Excess nitrogen
can be transported to rivers through groundwater, surface runoff, and sedimentation. The forms of
nitrogen analyzed in this study included nitrate + nitrite (NO2 + NO3), ammonia (NH4), and total Kjeldahl
nitrogen (TKN).
The different forms of nitrogen are produced through both biological and physical processes.
Nitrate is a highly soluble form of nitrogen that is produced through nitrogen fixation and deposition.
Common sources of nitrate include animal excrement, lawn and agricultural fertilizers, and septic
systems. These multiple sources are transported across the land and into streams through surface runoff,
precipitation, and by groundwater transport (Wetzel, 2001). In the sandy soils that dominate the St. Croix
River Headwaters, nitrate that is not taken up by plants or degraded by microorganisms in the soil can
leach to groundwater with relative ease. Nitrate can be transported great distances by groundwater
until it is discharged to surface water or reduced to another form of nitrogen (Freeze and Cherry, 1979).
Ammonium is another form of dissolved nitrogen important to water quality. Ammonium serves
as a secondary source of nitrogen to plant life (Wetzel, 2001). The major sources of NH4 include animal
waste, fertilizers, and degraded septic systems and wastewater infiltration ponds (Muldoon et al., 1990).
A natural source of NH4 is the mineralization of organic nitrogen by microorganisms in wetland soils
(Richardson and Vepraskas, 2001). Surface runoff is the primary source of NH4 to lakes and stream
because NH4 adsorbs to soil particles, effectively immobilizing it in groundwater flow system. Flooded
wetlands and the heavy soils, or clay-rich, mucky soils, common in impoundments release the majority of
NH4 into aquatic systems.
Total Kjeldahl nitrogen is another measure of nitrogen that was analyzed during this study. Total
Kjeldahl nitrogen represents total organic nitrogen (amino acids, proteins, and peptides) and ammonianitrogen. TKN is used to calculate the concentrations of total nitrogen and organic nitrogen.
Chloride
Chloride is a common ion used as an indicator of other contaminants within a watershed and can
be used as a tracer. Chloride is biologically inactive, so it readily moves from its source to surface waters
and groundwater. Human activity is often attributed to the presence of chloride as it is not commonly
found in the geology or soils of Wisconsin (Shaw et al., 2002). Chloride is found in animal and human
waste, some fertilizers, and in halite, a commonly used road de-icing salt. Studies have shown that if
chloride is entering surface waters primarily via groundwater discharge, chloride concentrations will be
higher during baseflow than during event flow because of runoff driven dilution (Barker, 1986).
Total Suspended Solids
TSS is a measurement of the organic and mineral particles that are in a water column. TSS can
be an indicator of runoff from exposed soil sources such as disturbed forested areas, gardens, construction
sites, and unpaved driveways and roads. TSS can also move to a river through conduit discharges, such
as storm sewers and municipal effluent pipes, and over impervious surfaces such as roads and driveways.
High concentrations of TSS can transport other constituents, such as pesticides, nutrients, and bacteria.
These materials adhere to soil colloids and are carried into lakes and streams by surface runoff (USEPA,
2006). Excess TSS can also turn waters murky, limiting the penetration of sunlight into the water
column. The decrease in sunlight inhibits plant growth and decreases visibility for various aquatic
animals, including fish. The murky water also absorbs more heat energy from the sun which increases
water temperatures and decreased dissolved oxygen concentrations.
Sulfate
Sulfate enters surface waters in Wisconsin primarily through atmospheric deposition and through
the dissolution of geologic materials, such as shale (Richardson and Vepraskas, 2001). Atmospheric
sulfate is sourced chiefly from the acid rain produced by power plants burning sulfur-rich coal. Anoxic
conditions cause sulfate to break down into sulfide (S2-), which can readily bind to most metal elements,
such as iron and mercury, rendering them as insoluble sulfide precipitates. Microbial activity in soils
reduces sulfate to hydrogen sulfide gas (H2S), the rotten egg smell associated with wetland sediments and
disturbed lake and stream sediments.
Metals
Concentrations of sodium and potassium are naturally low in Wisconsin’s waters, so their
presence often indicates anthropogenic activities. These metals occur naturally in organic debris and in
granitic and basaltic rocks which can be found as bedrock in the St. Croix River Headwaters (Shaw et al.,
2002). Human-related sources include road salts, wastes, and fertilizers.
Calcium and magnesium are important for aquatic life for the development of bones, shells, and
exoskeletons. These metals are naturally sourced from geologic materials. The hardness of water is
determined by the concentrations of calcium and magnesium. Hard water has high concentrations and
waters with low concentrations are called soft water. Calcium is a component of alkalinity, which is the
amount of bicarbonate in water. Alkalinity is a measure of the ability of water to buffer acids, such as
acid rain, and it also acts to buffer diurnal pH fluctuations caused by photosynthesis (Wetzel, 2001).
Copper and iron are important for sustaining aquatic life, but in high enough concentrations they
can lower dissolved oxygen concentrations by binding with a substantial amount of the dissolved oxygen.
This is a natural process that can’t be controlled, though it warrants attention to be certain that other
conditions which reduce dissolved oxygen aren’t perpetuated. A combination natural and anthropogenic
factors reducing dissolved oxygen can have negative effects on aquatic organisms.
Temperature and Dissolved Oxygen
Stream temperature has a large influence on aquatic life. Many aquatic organisms require
temperature specific conditions for successful growth and reproduction. The concentration of dissolved
oxygen (DO) in a stream will rise and fall relative to increases and decreases in stream temperature.
Some aquatic organisms are more tolerant of varying DO concentrations while other organisms can only
survive within specific ranges of DO. Often, the less tolerant organisms require high concentrations of
DO to survive and reproduce.
Oxygen makes its way into water by static and active (waves, riffles) contact with the
atmosphere, and by aquatic plant and algae respiration. As the day progresses, photosynthesis increases
dissolved oxygen concentrations and can eventually super-saturate the water. As less sunlight penetrates
the water column, concentrations fall. Dissolved oxygen can also be lowered in lakes and streams by the
decomposition of plant and animal tissue and waste, by high concentrations of metals in groundwater
discharge, or by ice cover limiting atmospheric contact and creating stagnant conditions.
Specific Conductance
Field measurements of specific conductance provide a quick indication of general water quality.
Specific conductance is a measure of the ability of water to resist an electric current. The measured value
depends on the amount of dissolved ions in the water, with high specific conductance indicating a high
concentration of dissolved solids. The dissolved solids can originate from human sources, such as salt,
and natural sources, such as soils.
pH
The pH of water affects the aquatic environment in a variety of ways. Low pH water, or acidic
water, is often found in surface waters containing high quantities of dissolved organic matter, such as
wetlands and bogs (Wetzel, 2001). In north-west Wisconsin, pH in natural waters tends to be low due to
the lack of carbonate rocks to act as buffers from acidification. Heavy metals, such as mercury, copper,
and iron, become soluble in low pH conditions. Higher concentrations of soluble iron and copper can
create a brown tint to the color of river water. Depending upon their form, these metals can also bind
with oxygen that is dissolved in water, resulting in lower dissolved oxygen for use by aquatic organisms
in the stream.
Appendix B:
Analytical Methods and Corresponding Detection Limits for Water Quality
Analyses Performed at the UW-Stevens Point Water and Environmental
Analysis Lab
Analyses
Method
Chloride
Automated Ferricyanide
4500 C1 E
Automated Salicylate
Nitrogen, Ammonia
Nitrogen, Nitrate + Nitrite
Nitrogen, Total Kjeldahl
4500-NH3 G
Automated Cadmium Reduction
4500-NO3 F
Block Digester; Auto Salicylate
Method Detection Limit
0.5 mg/L
0.01 mg/L
0.021 mg/L
0.05 mg/L
Total Suspended Solids
4500-NH3 G
Automated Colorimetric
4500 P F
Block Digestor, Automated
4500 P F
Gravimetric 2540 D
Volatile Suspended Solids
Gravimetric 2540 E
2.0 mg/L
N/P Pesticides
EPA Method 8270
Varies
Phosphorus, Reactive
Phosphorus, Total
0.002 mg/L
0.006 mg/L
2.0 mg/L
Appendix C:
Summary Statistics of Water Chemistry: Laboratory Analyses
CHLORIDE, IN MILLIGRAMS PER LITER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
17
12
13
20
12
43
18
33
29
Mean
1.1
1.4
.9
.7
.5
2.9
1.4
1.2
1.9
6.0
Standard
Error
Minimum
0.1
<0.5
.1
.9
.1
<0.5
.1
<0.5
.1
<0.5
2.7
<0.5
.1
<0.5
.1
<0.5
.2
.6
.9
2.7
Lower
Quartile
0.9
1.2
.6
.3
.3
.2
1.0
.8
1.0
3.6
Upper
Median Quartile Maximum
1.1
1.3
2.0
1.3
1.7
2.3
.9
1.2
1.5
.7
1.1
1.2
.5
.6
1.3
.3
.3
32.6
1.4
1.8
2.8
1.4
1.7
2.4
1.6
2.8
5.0
5.4
6.7
31.2
TOTAL SUSPENDED SOLIDS, IN MILLIGRAMS PER LITER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
17
12
13
20
12
43
18
33
29
Mean
2
3
4
7
5
5
3
1
3
2
Standard
Error
Minimum
0.3
<2
.7
<2
1.2
<2
1.6
<2
1.9
<2
1.0
<2
.5
<2
.1
<2
.4
<2
.2
<2
Lower
Quartile
<2
<2
<2
<2
<2
2
<2
<2
<2
<2
Upper
Median Quartile Maximum
2
4
5
1
3
11
3
6
12
6
10
18
3
5
38
5
8
11
2
3
16
<2
<2
2
2
4
8
2
3
5
TOTAL PHOSPHORUS, IN MICROGRAMS PER LITER
Site ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
23
18
19
20
18
43
18
33
29
Mean
25
28
29
41
39
28
32
19
63
24
Standard
Error
5
5
10
5
9
4
5
1
13
2
Minimum
7
8
<6
12
14
9
7
11
17
11
Lower
Quartile
14
16
8
28
23
22
18
17
29
16
Median
20
21
13
34
30
24
22
18
38
24
Upper
Quartile
27
29
22
42
39
31
33
22
66
28
Maximum
155
105
182
124
203
86
212
24
401
54
DISSOLVED REACTIVE PHOSPHORUS, IN MICROGRAMS PER LITER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
17
12
13
20
12
43
18
33
29
Mean
19
22
32
13
22
16
17
8
42
14
Standard
Error
Minimum
4
8
6
5
14
6
<2
6
7
6
4
9
4
2
<2
<2
11
9
1
7
Lower
Quartile
13
12
7
8
12
9
7
5
17
10
Upper
Median Quartile Maximum
15
20
126
14
19
82
12
51
167
12
17
26
15
20
158
13
16
61
11
13
185
8
12
15
20
37
305
15
18
36
TOTAL NITROGEN, IN MILLIGRAMS PER LITER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
17
12
13
20
12
43
18
33
29
Mean
0.36
.51
.50
1.17
.99
.59
.52
.44
.59
.56
Standard
Error
Minimum
0.02
0.20
.04
.27
.09
.20
.10
.54
.07
.57
.09
.32
.04
.30
.02
.27
.07
.25
.03
.39
Lower
Quartile
0.28
.39
.30
.92
.78
.40
.36
.36
.37
.45
Upper
Median Quartile Maximum
0.32
0.42
0.85
.49
.63
.80
.34
.76
1.07
1.13
1.51
1.74
.90
1.15
1.85
.43
.71
1.50
.42
.58
1.81
.42
.50
.67
.43
.64
2.27
.52
.64
.93
TOTAL KJELDAHL NITROGEN, IN MILLIGRAMS PER LITER
Site ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
17
12
13
20
12
43
18
33
29
Mean
0.28
.44
.45
1.07
.86
.42
.45
.41
.52
.48
Standard
Error
0.02
.05
.09
.10
.05
.05
.03
.02
.07
.02
Minimum
0.12
.19
.18
.50
.54
.22
.26
.25
.21
.30
Lower
Quartile
0.19
.31
.24
.76
.74
.29
.34
.34
.30
.40
Median
0.25
.38
.30
1.08
.79
.38
.39
.39
.40
.47
Upper
Quartile
0.33
.56
.69
1.37
.97
.57
.54
.45
.52
.55
Maximum
0.78
.79
1.05
1.71
1.41
.80
1.25
.63
2.25
.78
NITRATE+NITRITE-N, IN MILLIGRAMS PER LITER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
17
12
13
20
12
43
18
33
29
Mean
0.08
.07
.05
.10
.12
.16
.07
.02
.07
.07
Standard
Error
Minimum
0.01
<0.02
.01
<0.02
.02
<0.02
.02
<0.02
.06
<0.02
.10
<0.02
.03
<0.02
.01
<0.02
.02
<0.02
.02
<0.02
Lower
Quartile
0.03
<0.02
<0.02
.04
<0.02
.02
<0.02
<0.02
.02
<0.02
Upper
Median Quartile Maximum
0.06
0.10
0.40
.07
.11
.20
.03
.05
.20
.07
.16
.28
.03
.06
1.03
.07
.10
1.28
.03
.06
1.08
<0.02
<0.02
.10
.03
.07
.57
.03
.10
.30
AMMONIUM-N, IN MILLIGRAMS PER LITER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
17
12
13
20
12
43
18
33
29
Mean
0.04
.05
.07
.05
.11
.04
.06
.02
.08
.02
Standard
Error
Minimum
0.02
<0.02
.02
<0.02
.04
<0.02
.02
<0.02
.06
<0.02
.03
<0.02
.02
<0.02
.01
<0.02
.03
<0.02
.01
<0.02
Lower
Quartile
<0.02
<0.02
<0.02
<0.02
<0.02
<0.02
<0.02
<0.02
<0.02
<0.02
Upper
Median Quartile Maximum
<0.02
0.04
0.40
.03
.05
.24
<0.02
.06
.36
.02
.07
.18
<0.02
.08
1.00
<0.02
.02
.35
<0.02
.04
.82
<0.02
.02
.12
<0.02
.06
.71
<0.02
.02
.29
ORGANIC NITROGEN, IN MILLIGRAMS PER LITER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
29
17
12
13
20
12
43
18
33
29
Mean
0.24
.39
.37
1.03
.75
.38
.40
.38
.44
.46
Standard
Error
Minimum
0.02
<0.02
.04
.18
.06
.17
.11
.48
.06
<0.02
.03
.21
.02
<0.02
.02
.24
.06
<0.02
.02
.22
Lower
Quartile
0.17
.28
.23
.69
.66
.28
.30
.32
.27
.37
Upper
Median Quartile Maximum
0.24
0.29
0.57
.35
.54
.68
.29
.61
.73
.99
1.32
1.71
.77
.90
1.14
.37
.47
.59
.35
.51
.84
.36
.41
.57
.39
.48
2.23
.46
.52
.78
Appendix D:
Summary Statistics of Water Chemistry: Field Measures
DISSOLVED OXYGEN, IN MILLIGRAMS PER LITER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
25
20
17
17
14
19
32
19
23
25
Mean
8.84
9.03
9.42
7.68
9.21
9.00
9.25
8.96
8.49
6.94
Standard
Error
Minimum
0.27
5.49
.36
5.31
.36
7.50
.26
5.56
.30
8.14
.23
7.20
.24
5.26
.36
4.77
.23
5.20
.55
2.61
Lower
Quartile
8.22
7.90
8.52
7.05
8.43
8.22
8.35
8.21
7.67
3.90
Upper
Median Quartile Maximum
8.78
9.58
12.04
9.17
9.83
12.84
9.16
10.14
13.61
7.97
8.55
9.34
8.95
9.65
12.46
9.08
10.02
10.35
9.27
10.16
12.62
8.95
9.47
11.85
8.62
9.23
10.10
7.44
9.10
11.26
FIELD pH, STANDARD UNITS
Site ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
27
22
20
19
14
21
32
18
25
27
Minimum
7.57
7.79
7.63
6.02
7.17
7.53
7.47
7.41
7.12
6.57
Lower
Quartile
7.93
8.20
8.38
6.88
7.42
7.81
7.95
7.93
7.50
6.76
Median
8.10
8.43
8.53
6.99
7.52
8.17
8.12
8.27
8.05
7.30
Upper
Quartile
8.35
8.54
8.82
7.47
7.71
8.53
8.34
8.62
8.38
7.71
Maximum
8.60
8.63
8.94
7.92
8.09
8.86
8.67
9.02
9.07
9.47
CONDUCTIVITY, IN MICROSIEMENS PER CENTIMETER
Site
ID
EC01
EC02
EC04
LD01
MS01
OX01
SX00
SX01
SX02
SX03
Number of
Samples
27
22
20
19
15
21
34
20
25
27
Mean
135
152
158
91
102
129
115
119
121
132
Standard
Error
Minimum
1
128
3
141
2
143
8
42
9
44
2
107
3
59
3
87
2
107
4
42
Lower
Quartile
130
144
150
57
70
123
110
111
115
120
Upper
Median Quartile Maximum
133
137
152
148
154
191
154
167
181
90
120
162
105
133
160
130
135
147
115
125
156
119
122
168
121
130
140
136
148
157
Appendix E:
Groundwater Sample Geochemical Distribution
Appendix F:
Water-Table Map of USCECRW and Surround Area
Appendix G:
Member List of the Upper St. Croix Watershed Alliance (USCWA)
Bayfield County Land & Water Conservation Department (BCLWCD)
Douglas County Association of Lakes and Streams (DCALS)
Douglas County Land & Water Conservation Department (DCLWCD)
Friends of the Bird Sanctuary (FOTBS)
Friends of the St. Croix Headwaters (FOTSCH)
Gordon/St. Croix Flowage Association (GSCFA)
Great Lakes Indian Fish & Wildlife Commission (GLIFWC)
North Country Trail Association (NCTA)
Northwoods Cooperative Weed Management Area (NCWMA)
Property Owners Association, Inc. Barnes/Eau Claire Lakes Area (POABECLA)
River Alliance of Wisconsin (RAW)
St. Croix National Scenic Riverway, National Park Service (NPS)
St. Croix River Association (SCRA)
US Army Corps of Engineers (USACOE)
Upper St. Croix Lake Association (USCLA)
UW-Extension - St. Croix Basin (UW-EX)
UW-Extension Water Action Volunteers (WAV)
UW-Stevens Point Center for Science and Education (UW-SP)
West Wisconsin Land Trust (WWLT)
Wisconsin Department of Agriculture, Trade & Consumer Protection (DATCP)
Wisconsin Department of Natural Resources (WDNR)
Appendix H:
Box-Plot Basics
Water quality constituents were compared using box-plots. The middle of the box-plot is the
median. The top and bottom of the box are the medians of the values above and below the central
median.
For example:
50
45
40
6
35
TP
30
25
20
15
10
5
0
N=
6
1.00
Data used in the plot:
15
18
12
5
20
40
20
40
When ranked from low to high:
5
12
15
18
The median value would be the average of the middle two because we have an even number of data
points. That is 16.5 and shows up as the middle bar in the box above.
The upper and lower values in the box plot are typically based on either quartiles (25% below and 25%
above). If we look at the lower line in the box—that would be the median of the points below 16.5 or 12.
Above the median, the median of remaining points would be 20. Those make up the boundaries of the
box.
The line extends to the lower point in the range. In the upper range, the point is more than approximately
2-times the box height so it is shown as an extreme or outlier point.
Appendix I:
Land Use for Sub-Watersheds and USCECRW
Agriculture
1.0
Grassland/
Shrub
15.5
Forest
108.2
Open
water
7.3
Wetland
4.2
Watershed
Eau Claire Rv at Giles (nr Finstad Rd)
mi²
Developed
5.1
(EC01)
%
3.6
.7
11.0
76.5
5.2
3.0
Eau Claire Rv at East Mail Rd
mi²
3.1
.6
4.8
82.5
6.5
3.2
(EC02)
%
3.1
.6
4.8
81.9
6.4
3.2
Eau Claire Rv at Outlet Bay Rd
mi²
2.2
.6
3.8
69.9
3.3
2.5
(EC04)
%
2.7
.7
4.6
84.9
4.1
3.0
Lord Ck at CTH M
mi²
.2
.2
.6
4.3
< 0.1
3.1
(LD01)
%
3.0
2.0
7.3
50.7
.1
37.0
Ox Ck at Flat Lake Rd
mi²
3.4
.3
26.5
58.4
2.4
.5
(OX01)
%
3.7
.4
29.0
63.9
2.6
.5
St. Croix Rv at Scott's Bridge
mi²
15.3
4.7
56.1
259.2
15.3
42.7
(SX00)
%
3.9
1.2
14.3
65.9
3.9
10.9
St. Croix Rv at Gordon Dam
mi²
13.9
4.2
55.7
223.5
15.2
24.1
(SX01)
%
4.1
1.3
16.6
66.4
4.5
7.2
St. Croix Rv at Old HWY 53
mi²
12.6
3.7
52.3
209.0
12.1
14.7
(SX02)
St. Croix Rv at Cutaway Dam Rd
recreational trail bridge
(SX03)
%
4.1
1.2
17.2
68.7
4.0
4.8
mi²
2.6
1.5
1.0
19.7
1.5
8.6
%
7.3
4.2
2.9
56.6
4.3
24.7
Total
Area
141.4
100.7
82.4
8.4
91.4
393.3
336.7
304.4
34.8
Appendix J:
General Soil Textures and Geology in the USCECRW
Appendix K:
Soil and Water Assessment Tool (SWAT) Input Files
SWAT Model Input.std
1
SWAT
Sept '05 VERSION2005
0/ 0/
General Input/Output section (file.cio):
1/20/2010 12:00:00 AM ArcSWAT 2.3.3
Number of years in run:
28
Area of watershed:
842.615 km2
Random number generator cycles: 0, use default numbers
Initial
Initial
Initial
Initial
Initial
Initial
Initial
Initial
Initial
random
random
random
random
random
random
random
random
random
number
number
number
number
number
number
number
number
number
seed:
seed:
seed:
seed:
seed:
seed:
seed:
seed:
seed:
wet/dry day prob
radiation
precipitation
0.5 hr rainfall
wind speed
irrigation
relative humidity
max temperature
min temperature
748932582
1948832765
857034417
67377721
366304404
1094585182
1767585417
608439319
592757081
Precipitation data used in run:
Multiple gages read for watershed
Daily rainfall data used
Temperature data used in run:
Multiple gages read for watershed
PET method used: Penman-Monteith
Rainfall/Runoff/Routing Option:
Daily rainfall data
Runoff estimated with curve number method
Daily stream routing
Variable Storage routing method
Channel dimensions remain constant
Subbasin algae/CBOD loadings modeled
In-stream nutrient transformations modeled using QUAL2E equations
Subbasin Input Summary:
Sub Latitude Elev(m) #HRUs Ponds Elevbnds Wetlnd
1
46.41
363.08
4
2
46.41
371.42
4
3
46.38
352.25
4
4
46.37
368.61
4
5
46.35
356.27
4
6
46.32
332.70
3
7
46.34
335.27
2
8
46.26
436.97
6
9
46.39
368.39
2
10
46.31
340.11
4
11
46.34
373.41
4
12
46.25
305.37
1
13
46.25
332.30
2
14
46.29
341.37
3
15
46.27
325.82
2
16
46.27
343.80
2
17
46.25
346.07
2
0
0: 0: 0
HRU Input Summary Table 1:
Sub
HRU
Area(ha) Slope SlpLgth(m) Ovrlnd_N CondII_CN TimeConc(hr) ESCO EPCO
1
1
141.69 0.065
60.98
0.100
35.35
0.531 0.91 1.00
1
2
106.99 0.049
91.46
0.100
35.35
0.642 0.91 1.00
1
3
429.08 0.052
60.98
0.100
35.47
0.814 0.91 1.00
1
4
428.19 0.051
60.98
0.100
35.47
0.816 0.91 1.00
2
5
12.77 0.053
60.98
0.100
35.35
0.421 0.91 1.00
2
6
46.92 0.040
91.46
0.100
35.35
0.627 0.91 1.00
2
7
202.23 0.065
60.98
0.100
35.47
0.645 0.91 1.00
2
8
654.34 0.036
91.46
0.100
35.47
1.328 0.91 1.00
3
9
56.51 0.049
91.46
0.100
35.35
0.603 0.91 1.00
3
10
47.95 0.024
91.46
0.100
35.35
0.715 0.91 1.00
3
11
234.13 0.052
60.98
0.100
35.47
0.692 0.91 1.00
3
12
166.04 0.037
91.46
0.100
35.47
0.780 0.91 1.00
4
13
27.55 0.030
91.46
0.100
35.35
0.646 0.91 1.00
4
14
215.72 0.045
91.46
0.100
35.35
0.806 0.91 1.00
4
15
113.01 0.054
60.98
0.100
35.47
0.550 0.91 1.00
4
16
160.56 0.046
91.46
0.100
35.47
0.740 0.91 1.00
5
17
178.30 0.045
91.46
0.100
35.35
0.803 0.91 1.00
5
18
187.43 0.034
91.46
0.100
35.35
0.862 0.91 1.00
5
19
213.38 0.041
91.46
0.100
35.47
0.864 0.91 1.00
5
20
199.89 0.040
91.46
0.100
35.47
0.851 0.91 1.00
6
21
613.49 0.043
91.46
0.100
35.35
1.296 0.91 1.00
6
22
814.27 0.031
91.46
0.100
35.47
1.564 0.91 1.00
6
23
535.27 0.037
91.46
0.100
35.47
1.236 0.91 1.00
7
24
1213.40 0.040
91.46
0.100
35.35
1.509 0.91 1.00
7
25
1999.88 0.036
91.46
0.100
35.47
2.053 0.91 1.00
8
26
2875.15 0.067
60.98
0.100
35.35
1.653 0.91 1.00
8
27
3156.12 0.047
91.46
0.100
35.35
1.917 0.91 1.00
8
28
3738.27 0.051
60.98
0.100
35.35
2.016 0.91 1.00
8
29
717.60 0.045
91.46
0.100
35.47
0.913 0.91 1.00
8
30
130.02 0.037
91.46
0.100
35.47
0.650 0.91 1.00
8
31
257.33 0.072
60.98
0.100
35.47
0.517 0.91 1.00
9
32
13342.81 0.032
91.46
0.100
35.35
5.971 0.91 1.00
9
33
1524.93 0.049
91.46
0.100
35.47
1.325 0.91 1.00
10
34
21.00 0.012
121.95
0.100
35.35
0.971 0.91 1.00
10
35
90.18 0.025
91.46
0.100
35.35
0.747 0.91 1.00
10
36
751.39 0.014
121.95
0.100
50.36
1.616 0.91 1.00
10
37
1044.91 0.036
91.46
0.100
50.36
1.528 0.91 1.00
11
38
2107.18 0.036
91.46
0.100
35.35
1.554 0.91 1.00
11
39
624.24 0.032
91.46
0.100
35.35
0.929 0.91 1.00
11
40
7003.94 0.035
91.46
0.100
50.36
3.391 0.91 1.00
11
41
4840.00 0.028
91.46
0.100
50.36
2.652 0.91 1.00
12
42
3.06 0.027
91.46
0.100
35.47
0.664 0.91 1.00
13
43
271.52 0.040
91.46
0.100
35.35
0.958 0.91 1.00
13
44
309.50 0.031
91.46
0.100
35.47
1.051 0.91 1.00
14
45
1444.55 0.044
91.46
0.100
35.35
1.845 0.91 1.00
14
46
1189.55 0.068
60.98
0.100
35.35
1.473 0.91 1.00
14
47
2115.34 0.040
91.46
0.100
35.47
2.379 0.91 1.00
15
48
2659.02 0.040
91.46
0.100
35.35
2.207 0.91 1.00
15
49
4101.74 0.021
91.46
0.100
35.47
3.089 0.91 1.00
16
50
7202.53 0.035
91.46
0.100
35.35
3.299 0.91 1.00
16
51
2388.45 0.033
91.46
0.100
35.47
1.621 0.91 1.00
17
52
9142.82 0.027
91.46
0.100
35.35
7.231 0.91 1.00
17
53
2209.40 0.039
91.46
0.100
35.47
2.463 0.91 1.00
HRU CN Input Summary Table:
Sub
HRU
Area(ha) LULC
Soil
CN1
CN2
CN3
Wilting Point (mm H2O)
Field Capacity (mm H2O)
(mm H2O)
1
1
141.69
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
1
2
106.99
FRSE
AHMEEK
15.4
35.3
54.6
124.2
169.4
1
3
429.08
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
1
4
428.19
FRST
AHMEEK
15.5
35.5
54.8
124.2
169.4
2
5
12.77
FRSE
SAYNER
15.4
35.3
54.6
17.8
533.4
2
6
46.92
FRSE
AHMEEK
15.4
35.3
54.6
107.1
298.9
2
7
202.23
FRST
SAYNER
15.5
35.5
54.8
17.8
533.4
2
8
654.34
FRST
AHMEEK
15.5
35.5
54.8
73.6
315.0
3
9
56.51
FRSE
SAYNER
15.4
35.3
54.6
17.8
156.5
3
10
47.95
FRSE
AHMEEK
15.4
35.3
54.6
124.2
156.5
3
11
234.13
FRST
SAYNER
15.5
35.5
54.8
17.8
156.5
3
12
166.04
FRST
AHMEEK
15.5
35.5
54.8
124.2
156.5
4
13
27.55
FRSE
SAYNER
15.4
35.3
54.6
17.8
299.7
4
14
215.72
FRSE
AHMEEK
15.4
35.3
54.6
84.3
274.3
4
15
113.01
FRST
SAYNER
15.5
35.5
54.8
17.8
299.7
4
16
160.56
FRST
AHMEEK
15.5
35.5
54.8
84.3
274.3
5
17
178.30
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
5
18
187.43
FRSE
AHMEEK
15.4
35.3
54.6
124.2
169.4
5
19
213.38
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
5
20
199.89
FRST
AHMEEK
15.5
35.5
54.8
124.2
169.4
6
21
613.49
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
6
22
814.27
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
6
23
535.27
FRST
AHMEEK
15.5
35.5
54.8
124.2
169.4
7
24
1213.40
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
7
25
1999.88
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
8
26
2875.15
FRSE
GOGEBIC
15.4
35.3
54.6
118.2
167.9
8
27
3156.12
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
8
28
3738.27
FRSE
PADUS
15.4
35.3
54.6
71.1
103.6
8
29
717.60
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
8
30
130.02
FRST
PADUS
15.5
35.5
54.8
71.1
103.6
579.4
392.5
579.4
392.5
579.4
409.5
579.4
443.0
579.4
392.5
579.4
392.5
579.4
432.4
579.4
432.4
579.4
392.5
579.4
392.5
579.4
579.4
392.5
579.4
579.4
429.8
579.4
536.7
579.4
536.7
8
31
257.33
FRST
ROCK OUT
15.5
35.5
54.8
61.0
15.2
9
32
13342.81
FRSE
SAYNER
15.4
35.3
54.6
17.8
157.5
157.5
312.9
579.4
9
33
1524.93
FRST
SAYNER
15.5
35.5
54.8
17.8
10
34
21.00
FRSE
SAYNER
15.4
35.3
54.6
17.8
89.9
10
35
90.18
FRSE
AHMEEK
15.4
35.3
54.6
124.2
157.5
10
36
751.39
FRST
SAYNER
30.6
50.4
70.3
17.8
89.9
10
37
1044.91
FRST
AHMEEK
30.6
50.4
70.3
124.2
157.5
11
38
2107.18
FRSE
AHMEEK
15.4
35.3
54.6
124.2
169.4
11
39
624.24
FRSE
GREENWOO
15.4
35.3
54.6
18.3
533.4
11
40
7003.94
FRST
AHMEEK
30.6
50.4
70.3
124.2
169.4
11
41
4840.00
FRST
GREENWOO
30.6
50.4
70.3
18.3
533.4
12
42
3.06
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
13
43
271.52
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
13
44
309.50
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
14
45
1444.55
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
14
46
1189.55
FRSE
ROCK OUT
15.4
35.3
54.6
61.0
15.2
579.4
579.4
392.5
579.4
392.5
392.5
1333.2
392.5
1333.2
579.4
579.4
579.4
579.4
312.9
Saturation
14
47
2115.34
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
15
48
2659.02
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
15
49
4101.74
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
16
50
7202.53
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
16
51
2388.45
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
17
52
9142.82
FRSE
SAYNER
15.4
35.3
54.6
17.8
56.4
17
53
2209.40
FRST
SAYNER
15.5
35.5
54.8
17.8
56.4
579.4
579.4
579.4
579.4
579.4
579.4
579.4
HRU Input Summary Table 2:
Sub
HRU
Area(ha)
SoilName Hydgrp MaxRtDpth(mm) Albedo USLE_K USLE_P USLE_LS ProfileAWC(mm) IniSoilH2O(mm)
1
1
141.69 SAYNER
A
1524.00
0.10
0.17
0.50
1.10
56.388
19.370
1
2
106.99 AHMEEK
C
1524.00
0.10
0.37
0.50
0.90
169.418
58.197
1
3
429.08 SAYNER
A
1524.00
0.10
0.17
0.50
0.80
56.388
19.370
1
4
428.19 AHMEEK
C
1524.00
0.10
0.37
0.50
0.78
169.418
58.197
2
5
12.77 SAYNER
A
1524.00
0.10
0.17
0.50
0.82
533.400
183.229
2
6
46.92 AHMEEK
C
1524.00
0.10
0.37
0.50
0.67
298.905
102.678
2
7
202.23 SAYNER
A
1524.00
0.10
0.17
0.50
1.10
533.400
183.229
2
8
654.34 AHMEEK
C
1524.00
0.10
0.37
0.50
0.58
314.979
108.199
3
9
56.51 SAYNER
A
1524.00
0.10
0.17
0.50
0.90
156.464
53.747
3
10
47.95 AHMEEK
C
1524.00
0.10
0.37
0.50
0.35
156.464
53.747
3
11
234.13 SAYNER
A
1524.00
0.10
0.17
0.50
0.80
156.464
53.747
3
12
166.04 AHMEEK
C
1524.00
0.10
0.37
0.50
0.60
156.464
53.747
4
13
27.55 SAYNER
A
1524.00
0.10
0.17
0.50
0.46
299.720
102.958
4
14
215.72 AHMEEK
C
1524.00
0.10
0.37
0.50
0.80
274.320
94.232
4
15
113.01 SAYNER
A
1524.00
0.10
0.17
0.50
0.84
299.720
102.958
4
16
160.56 AHMEEK
C
1524.00
0.10
0.37
0.50
0.82
274.320
94.232
5
17
178.30 SAYNER
A
1524.00
0.10
0.17
0.50
0.80
56.388
19.370
5
18
187.43 AHMEEK
C
1524.00
0.10
0.37
0.50
0.54
169.418
58.197
5
19
213.38 SAYNER
A
1524.00
0.10
0.17
0.50
0.70
56.388
19.370
5
20
199.89 AHMEEK
C
1524.00
0.10
0.37
0.50
0.67
169.418
58.197
6
21
613.49 SAYNER
A
1524.00
0.10
0.17
0.50
0.75
56.388
19.370
6
22
814.27 SAYNER
A
1524.00
0.10
0.17
0.50
0.48
56.388
19.370
6
23
535.27 AHMEEK
C
1524.00
0.10
0.37
0.50
0.60
169.418
58.197
7
24
1213.40 SAYNER
A
1524.00
0.10
0.17
0.50
0.67
56.388
19.370
7
25
1999.88 SAYNER
A
1524.00
0.10
0.17
0.50
0.58
56.388
19.370
8
26
2875.15 GOGEBIC
B
1524.00
0.10
0.24
0.50
1.15
167.894
57.674
8
27
3156.12 SAYNER
A
1524.00
0.10
0.17
0.50
0.85
56.388
19.370
8
28
3738.27 PADUS
B
1524.00
0.10
0.24
0.50
0.78
103.632
35.599
8
29
717.60 SAYNER
A
1524.00
0.10
0.17
0.50
0.80
56.388
19.370
8
30
130.02 PADUS
B
1524.00
0.10
0.24
0.50
0.60
103.632
35.599
8
31
257.33 ROCK OUTCROP
B
1524.00
0.23
0.01
0.50
1.28
15.240
5.235
9
32
13342.81 SAYNER
A
1524.00
0.10
0.17
0.50
0.50
157.480
54.096
9
33
1524.93 SAYNER
A
1524.00
0.10
0.17
0.50
0.90
157.480
54.096
10
34
21.00 SAYNER
A
1524.00
0.10
0.17
0.50
0.18
89.916
30.887
10
35
90.18 AHMEEK
C
1524.00
0.10
0.37
0.50
0.36
157.480
54.096
10
36
751.39 SAYNER
A
1524.00
0.10
0.17
0.50
0.21
89.916
30.887
10
37
1044.91 AHMEEK
C
1524.00
0.10
0.37
0.50
0.58
157.480
54.096
11
38
2107.18 AHMEEK
C
1524.00
0.10
0.37
0.50
0.58
169.418
58.197
11
39
624.24 GREENWOOD
A
1524.00
0.10
0.10
0.50
0.50
533.400
183.229
11
40
7003.94 AHMEEK
C
1524.00
0.10
0.37
0.50
0.56
169.418
58.197
11
41
4840.00 GREENWOOD
A
1524.00
0.10
0.10
0.50
0.42
533.400
183.229
12
42
3.06 SAYNER
A
1524.00
0.10
0.17
0.50
0.40
56.388
19.370
13
43
271.52 SAYNER
A
1524.00
0.10
0.17
0.50
0.67
56.388
19.370
13
44
309.50 SAYNER
A
1524.00
0.10
0.17
0.50
0.48
56.388
19.370
14
45
1444.55 SAYNER
A
1524.00
0.10
0.17
0.50
0.77
56.388
19.370
14
46
1189.55 ROCK OUTCROP
B
1524.00
0.23
0.01
0.50
1.18
15.240
5.235
14
47
2115.34 SAYNER
A
1524.00
0.10
0.17
0.50
0.67
56.388
19.370
15
48
2659.02 SAYNER
A
1524.00
0.10
0.17
0.50
0.67
56.388
19.370
15
49
4101.74 SAYNER
A
1524.00
0.10
0.17
0.50
0.30
56.388
19.370
16
50
7202.53 SAYNER
A
1524.00
0.10
0.17
0.50
0.56
56.388
19.370
16
51
2388.45 SAYNER
A
1524.00
0.10
0.17
0.50
0.52
56.388
19.370
17
52
9142.82 SAYNER
A
1524.00
0.10
0.17
0.50
0.40
56.388
19.370
17
53
2209.40 SAYNER
A
1524.00
0.10
0.17
0.50
0.65
56.388
19.370
HRU Input Summary Table 3:
Sub
HRU
Area(ha) Urban Irrig DrainTiles Pothole Pstcide Biomix
1
1
141.69
x
0.20
1
2
106.99
x
0.20
1
3
429.08
x
0.20
1
4
428.19
x
0.20
2
5
12.77
x
0.20
2
6
46.92
x
0.20
2
7
202.23
x
0.20
2
8
654.34
x
0.20
3
9
56.51
x
0.20
3
10
47.95
x
0.20
3
11
234.13
x
0.20
3
12
166.04
x
0.20
4
13
27.55
x
0.20
4
14
215.72
x
0.20
4
15
113.01
x
0.20
4
16
160.56
x
0.20
5
17
178.30
x
0.20
5
18
187.43
x
0.20
5
19
213.38
x
0.20
5
20
199.89
x
0.20
6
21
613.49
x
0.20
6
22
814.27
x
0.20
6
23
535.27
x
0.20
7
24
1213.40
x
0.20
7
25
1999.88
x
0.20
8
26
2875.15
x
0.20
8
27
3156.12
x
0.20
8
28
3738.27
x
0.20
8
29
717.60
x
0.20
8
30
130.02
x
0.20
8
31
257.33
x
0.20
9
32
13342.81
x
0.20
9
33
1524.93
x
0.20
10
34
21.00
x
0.20
10
35
90.18
x
0.20
10
36
751.39
x
0.20
10
37
1044.91
x
0.20
11
38
2107.18
x
0.20
11
39
624.24
x
0.20
11
40
7003.94
x
0.20
11
41
4840.00
x
0.20
12
42
3.06
x
0.20
13
43
271.52
x
0.20
13
44
309.50
x
0.20
14
45
1444.55
x
0.20
14
46
1189.55
x
0.20
14
47
2115.34
x
0.20
15
48
2659.02
x
0.20
15
49
4101.74
x
0.20
16
50
7202.53
x
0.20
16
51
2388.45
x
0.20
17
52
9142.82
x
0.20
17
53
2209.40
x
0.20
HRU Input Summary Table 4 (Groundwater):
Sub
HRU
Area(ha) GWdelay(days), GWalpha(days) GWQmin(mm) GWrevap Revapmin(mm) Deepfr NO3(ppm) SolP(ppm)
1
1
141.69
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
1
2
106.99
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
1
3
429.08
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
1
4
428.19
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
2
5
12.77
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
2
6
46.92
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
2
7
202.23
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
2
8
654.34
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
3
9
56.51
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
3
10
47.95
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
3
11
234.13
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
3
12
166.04
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
4
13
27.55
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
4
14
215.72
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
4
15
113.01
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
4
16
160.56
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
5
17
178.30
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
5
18
187.43
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
5
19
213.38
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
5
20
199.89
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
6
21
613.49
100.000
0.200
1.000
0.020
1.000 0.350
0.000
0.000
6
22
814.27
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
6
23
535.27
100.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
7
24
1213.40
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
7
25
1999.88
100.000
0.200
1.000
0.020
0.000 0.050
0.000
0.000
8
26
2875.15
100.000
0.200
1.000
0.020
0.000 0.050
0.000
0.000
8
27
3156.12
100.000
0.200
1.000
0.020
0.000 0.050
0.000
0.000
8
28
3738.27
100.000
0.200
1.000
0.020
0.000 0.050
0.000
0.000
8
29
717.60
100.000
0.200
1.000
0.020
0.000 0.050
0.000
0.000
8
30
130.02
100.000
0.200
1.000
0.020
0.000 0.050
0.000
0.000
8
31
257.33
100.000
0.200
1.000
0.020
0.000 0.050
0.000
0.000
9
32
13342.81
200.000
0.200
1.000
0.060
0.000 0.050
0.000
0.000
9
33
1524.93
200.000
0.200
1.000
0.060
1.000 0.050
0.000
0.000
10
34
21.00
40.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
10
35
90.18
40.000
0.200
1.000
0.020
0.000 0.350
0.000
0.000
10
36
751.39
40.000
0.200
0.000
0.020
0.000 0.350
0.000
0.000
10
37
1044.91
40.000
0.200
0.000
0.020
0.000 0.350
0.000
0.000
11
38
2107.18
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
11
39
624.24
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
11
40
7003.94
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
11
41
4840.00
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
12
42
3.06
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
13
43
271.52
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
13
44
309.50
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
14
45
1444.55
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
14
46
1189.55
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
14
47
2115.34
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
15
48
2659.02
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
15
49
4101.74
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
16
50
7202.53
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
16
51
2388.45
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
17
52
9142.82
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
17
53
2209.40
100.000
0.200
1.000
0.020
1.000 0.050
0.000
0.000
Tributary/Main Channel Characteristics
|--------------Tributary--------------------|---------------------Main---------------------------|
Sub Length(km) Slope Width(m) Cond(mm/hr)
N Length(km) Slope Width(m) Depth(m) Cond(mm/hr)
N
1
8.31 0.008
5.45
0.5000 0.014
3.91 0.009
5.45
0.34
0.0000 0.050
2
8.72 0.008
1.87
0.0000 0.014
4.85 0.011
1.87
0.31
0.0000 0.050
3
6.80 0.012
1.41
0.0000 0.010
0.89 0.003
3.41
0.25
0.0000 0.050
4
5.09 0.010
1.46
0.0000 0.014
1.29 0.021
1.46
0.25
0.0000 0.050
5
8.63 0.009
4.42
0.5000 0.014
2.55 0.010
4.42
0.30
0.0000 0.050
6
15.18 0.004
7.70
0.5000 0.014
7.96 0.003
7.70
0.43
0.0000 0.050
7
15.55 0.003
10.35
0.5000 0.014
7.73 0.001
19.19
0.79
0.0000 0.080
8
28.46 0.002
32.59
0.5000 0.014
4.08 0.002
10.59
1.12
0.0000 0.014
9
42.61 0.002
33.08
0.5000 0.014
18.21 0.001
10.08
1.13
0.0000 0.014
10
12.76 0.005
7.57
0.5000 0.014
0.45 0.006
2.57
0.42
0.0000 0.014
11
38.43 0.002
25.63
0.5000 0.014
20.83 0.002
25.63
0.95
0.0000 0.014
12
0.30 0.029
0.16
0.5000 0.014
0.16 0.001
82.64
2.08
0.0000 0.014
13
5.36 0.005
3.71
0.5000 0.014
3.16 0.002
75.38
1.96
0.0000 0.014
14
17.86 0.001
13.08
0.5000 0.014
10.18 0.000
36.69
1.21
0.0000 0.014
15
18.86 0.001
16.17
0.5000 0.014
11.97 0.001
75.08
1.95
0.0000 0.014
16
23.87 0.002
19.94
0.5000 0.014
4.85 0.002
70.52
1.87
0.0000 0.014
17
42.90 0.001
22.06
0.5000 0.014
27.57 0.001
45.44
1.40
0.0000 0.014
APPENDIX M:
Pesticide Results for 2009 Samples Collected with POCIS
ORGANOPHOSPHOROUS PESTICIDE REPORT
POLAR ORGANIC COMPOUND INTEGRATIVE SAMPLER (POCIS)
Sample name
Upper St. Croix - Eau Claire Rivers Watershed
Sample location
Cranberry bog nr Gordon, WI; north and south outlets
Sample matrix
POCIS
All sample concentrations and limits of detection are reported in ug/mL (ppm) from individual POCIS.
Note: Detection limits not established for POCIS samples.
LODs provided on sheet are for water-column (grab) samples.
COMPOUND
Naled
Mevinphos
TEPP
Ethoprop
Sulfotepp
Phorate
Demeton-S
Demeton-O
Diazinon
Disulfoton
Dioxathion
Dimethoate
Ronnel
Methyl parathion
Ethyl parathion
Trichloranat
Chlorpyrifos
Malathion
Fenthion
Tokuthion
d
Bolstar
EPN
Azinophos-methyl
Azinophos-ethyl
Coumaphos
Lowest limit of
detection
0.35
0.56
NA
0.06
0.07
0.13
0.29
NA
0.08
0.05
NA
0.31
0.10
0.03
0.08
0.09
0.10
0.15
0.12
0.13
0.20E
0.16
0.20E
0.20E
NA
0.20E
samples received 06/26/09
South Bog
North Bog
296-09-01
296-09-02
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
D (.015)
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
D (.029)
D (.044)
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
samples received 07/27/09
South Bog
North Bog
353-09-01
353-09-02
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
D (.020) D (no value assigned)
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
DATA FLAGS:
D = Analyte detected at concentration in ( ). Value not reliable for quantitation.
B = Analyte also found in laboratory blank.
J = Analyte detected at a concentration above LOD but below LOQ.
E = Estimated
< LOD = This compound was not detected at a level above limit of detection.
samples received 08/25/09
samples received 09/27/09
samples received 10/17/09
South Bog
North Bog
South Bog
North Bog
South Bog
North Bog
424-09-22
424-09-23
470-09-01
470-09-02
497-09-01
497-09-02
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
D (.006)
0.38
D (no value assigned) D (no value assigned)
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
0.36
<LOD
0.13
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
Sample Volume (L)
diaz and chlor
malathion
adj LOD diazinon
adj LOD chlorpyrifos adj LOD malathion
11.872
1.428
0.000006634
0.000008244
0.000103097
16.536
1.989
0.000004763
0.000005919
0.000074019
13.144
1.581
0.000005992
0.000007446
0.000093120
13.144
1.581
0.000005992
0.000007446
0.000093120
12.296
1.479
0.000006405
0.000007960
0.000099542
12.296
1.479
0.000006405
0.000007960
0.000099542
13.992
1.683
0.000005629
0.000006995
0.000087477
13.992
1.683
0.000005629
0.000006995
0.000087477
8.48
1.02
0.000009287
0.000011541
0.000144336
8.48
1.02
0.000009287
0.000011541
0.000144336
Site ID
SX04
CB03
CB01
CB02
CB01
CB02
CB01
CB02
CB01
CB02
CB01
CB02
Medium deployed from deployed to
4/27/2007
3/31/2007
SPMD
4/27/2007
3/31/2007
SPMD
6/26/2009
5/29/2009
POCIS
6/26/2009
5/18/2009
POCIS
7/27/2009
6/26/2009
POCIS
7/27/2009
6/26/2009
POCIS
8/25/2009
7/27/2009
POCIS
8/25/2009
7/27/2009
POCIS
9/27/2009
8/25/2009
POCIS
9/27/2009
8/25/2009
POCIS
10/17/2009
9/27/2009
POCIS
10/17/2009
9/27/2009
POCIS
deployment time
(days)
27
27
28
39
31
31
29
29
33
33
20
20
Malathion
Chlorpyrifos
Diazinon
(µg/mL POCIS, ppm POCIS) (µg/mL POCIS, ppm POCIS) (µg/mL POCIS, ppm POCIS)
NS
<LOD
<LOD
NS
<LOD
<LOD
<LOD
0.029
<LOD
<LOD
0.044
0.015
<LOD
<LOD
0.020
<LOD
<LOD
D
0.36
<LOD
0.006
<LOD
<LOD
0.38
0.13
<LOD
D
<LOD
<LOD
D
<LOD
<LOD
<LOD
<LOD
<LOD
<LOD
Diazinon
(ng/L, ppt)
ND
ND
ND
0.9
1.5
ND
0.5
30.9
ND
ND
ND
ND
Chlorpyrifos
(ng/L, ppt)
ND
ND
2.4
2.7
ND
ND
ND
ND
ND
ND
ND
ND
Estimated ambient water concentration
Malathion
(ng/L, ppt)
ND
ND
ND
ND
ND
ND
243.4
ND
77.2
ND
ND
ND