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Part
I - Analysis and Interpretation of RUSS Data
As a water
resource manager, you have been asked by a prospective lake property
developer to compare the water quality of two lakes, Ice Lake in northern
Minnesota and Lake Independence, located near Minneapolis. Relatively
few historical data exist for either lake. Luckily, you have two RUSS
units available that you quickly place in the two lakes.
Program the
RUSS to collect a surface-to-bottom data profile from Ice Lake and Independence
Lake.
Examine the data for temperature, dissolved oxygen,
and turbidity for
both lakes, shown in Tables 1 and 2 below:
|
Table
1
Ice Lake profile data - 6/22/98 |
|
Depth
(m)
|
Temp
(°C)
|
DO
(mg/L)
|
Turbidity
|
|
0
|
19.9
|
11.4
|
2
|
|
1
|
19.9
|
11.4
|
1
|
|
2
|
18.4
|
12.2
|
2
|
|
3
|
16.9
|
11.5
|
1
|
|
4
|
11.5
|
13.4
|
1
|
|
5
|
9.1
|
9.8
|
2
|
|
6
|
7.2
|
3.6
|
1
|
|
7
|
6.1
|
0.9
|
1
|
|
8
|
5.7
|
0.6
|
1
|
|
9
|
5.5
|
0.5
|
<1
|
|
10
|
5.4
|
0.4
|
<1
|
|
12
|
5.0
|
0.4
|
<1
|
|
14
|
5.0
|
0.4
|
<1
|
|
16
|
5.0
|
0.4
|
<1
|
|
Table
2
Lake Independence profile data - 6/19/98 |
|
Depth (m)
|
Temp (C)
|
DO (mg/l)
|
Turbidity
|
|
0
|
21.2
|
9.1
|
15
|
|
1
|
21.1
|
8.8
|
22
|
|
2
|
21.0
|
8.9
|
15
|
|
3
|
21.0
|
8.9
|
5
|
|
4
|
20.8
|
8.5
|
3
|
|
5
|
17.8
|
4.3
|
1
|
|
6
|
17.4
|
3.8
|
3
|
|
7
|
16.9
|
2.0
|
0
|
|
8
|
15.9
|
0.2
|
0
|
|
9
|
13.9
|
0.0
|
0
|
|
10
|
12.8
|
0.0
|
5
|
|
12
|
12.4
|
0.0
|
4
|
|
14
|
12.0
|
0.0
|
4
|
|
16
|
12.0
|
0.0
|
3
|
- Graph the data on the graphs provided, with temperature and dissolved
oxygen on the X axis and depth on the Y axis (Figures 1 and 2).
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Figure
1
Ice Lake temperature and DO profile - June 22, 1998 |
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Figure
2
Lake Independence temperature and DO profile - June 19, 1998 |
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- Describe any differences that you observe in the temperature
and dissolved oxygen profiles of the two lakes. Do this for both surface
water and deep water. Why might they differ?
- How do turbidity values compare between the two lakes?
- What causes turbidity to be higher in one lake than another?
In other words, what does turbidity measure?
- Can you determine, with any certainty from these data, which lake
has poorer water quality? (i.e., more likely to have algal blooms
in the summer, likely to be less transparent, poorer fish habitat,
less aesthetically pleasing, etc.). Why or why not?
- You decide that you need additional information to answer your
client's question with any certainty, so you search for historical
data and discover that Secchi readings have been taken by volunteers
on the two lakes and that a few phosphorus
and chlorophyll analyses
have been done (Table 3).
|
Table
3
1998 Water Quality Data for Ice and Independence Lakes |
|
Mean
summer
epilimnion values
|
Ice
Lake
|
Lake
Independence
|
|
Total
phosphorus (ppb)
|
8-10
|
42-115
|
|
Secchi
transparency (m)
|
3.1-4.3
|
<1->3
|
|
Chlorophyll
a
|
<1-5
|
5-30
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- What do these data tell you about the relative productivity
of the two lakes and about their water quality?
Part
II - Using Geographic Information Systems (GIS) to assess land use patterns
within watersheds
Your client
is not satisfied when you tell her which lake is likely to be "cleaner."
She wants to know what is causing the differences and whether there
are simple control measures that could be taken to improve the condition
of the poorer quality lake. You decide you need additional information
about the watersheds of the lakes to answer her question. Therefore,
you turn to a geographical information system (GIS) to get the information
you need.
Call up
the maps of Ice Lake and Lake Independence.
Use this information to compare and contrast the landscape features
of the two lakes. Information not available from the maps may be obtained
from the Lake Summaries.
- Which of the two watersheds has a greater road density?
How might this affect water quality?
- Use Arc View to fill in the following data table (Table 4) for each
lake.
|
Table
4
Lake attributes derived from GIS maps |
| |
Ice
Lake
|
Lake
Independence
|
|
Maximum
lake depth (m)
|
|
|
|
Lake area (ha)
|
|
|
|
Watershed area (ha)
|
|
|
|
Lake volume (m3)
|
|
|
- How do the two lakes compare in terms of area and volume?
- Which lake has a proportionately larger watershed in relation
to the size of the lake?
- Calculate the ratio (watershed area/lake area) and fill in
the blanks below.
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Table
5
|
|
|
Ice
Lake
|
Lake
Independence
|
|
Watershed
area : lake area Ratio (Aw:Ao)
|
__________
: 1
|
__________
: 1
|
- How might a larger watershed, in relation to lake area,
impact water quality?
- Can you determine, using Arc View, the inflows and
outflows to
each lake? If not, consult the topographic maps to determine this,
and include on a sketch of each lake, below.
Note: One
relatively new GIS product is called a Digital Raster Graphic, or DRG.
DRGs are simply topographic maps which have been scanned into a digital
format and georeferenced. Thus, they are on-line versions of topographic
maps that can be used in conjunction with other GIS layers to understand
landscapes.
View the
DRG for Ice Lake here
View the
DRG for Lake Independence here
Note
to teachers: This requires students to learn to interpret slope
and elevation off topographic maps and relate to GIS-derived images.
- Have the lake drainages been altered in any way by human
activities? In what way? How can you tell?
- What are the predominant land uses in each watershed? Fill in Table
5 with percentages of each land use type.
Note to teachers: If learning Arc View is one of the objectives
of this lab, students could be asked to do their own Arc View work to
determine areas dominated by various land uses.
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Table
5
Percent land use from ARC-View analyses |
|
|
Ice
(855 ha)
|
Independence
(1946 ha)
|
|
Agriculture
|
|
|
|
Urban
|
|
|
|
Wet
|
|
|
|
Forest
|
|
|
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Total(%)
|
|
|
- Describe the most obvious differences in land uses between
watersheds.
- Which would you expect to contribute sediments and phosphorus
lakes? Why?
Part
III. Using models to predict sediment and phosphorus loadings
You have
determined the differences in land uses in the two watersheds. Does
this help you to explain the differences in water quality? You may think
so, but your client remains skeptical and concerned about whether simple
changes in management practices could help to improve the poorer quality
lake. You go back to the books and decide to do some simple modeling
to estimate loadings of sediment and phosphorus from each watershed,
based on land use.
- The first step is to convert the land use percentages
given in Table 6 into actual areas occupied by each land use. Place
the results of this conversion into Table 7.
|
Table
6
Percent land use from ARC-View analyses |
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|
Ice
(855 ha)
|
Independence
(1946 ha)
|
|
Agriculture
|
|
|
|
Urban
|
|
|
|
Wetland
|
|
|
|
Forest
|
|
|
|
Total(%)
|
|
|
|
Table
7
Percent land use from ARC-View analyses |
|
|
Ice
(855 ha)
|
Independence
(1946 ha)
|
|
Agriculture
|
|
|
|
Urban
|
|
|
|
Wetland
|
|
|
|
Forest
|
|
|
|
Total
|
|
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- Table 8 contains loading estimates that you dug out of
the scientific literature. Use these estimates and the land use areas
from Table 7 to fill in Table 9. These numbers, summed up, are the
predicted loadings of total suspended sediments and total phosphorus
to each lake in a year.
|
Table
8
Sediment and phosphorus loading estimates |
|
|
Default
Loadings (kg/ha)
|
|
TSS
|
TP
|
|
Agriculture
|
1013
|
0.90
|
|
Urban
|
200
|
0.55
|
|
Wetland
|
5
|
0.05
|
|
Forest
|
86
|
0.11
|
|
Grass
|
346
|
0.13
|
|
Other
|
50
|
0.10
|
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Table
9
Predicted sediment and phosphorus loadings |
|
|
Predicted
TSS (kg/yr)
|
Predicted
TP (kg/yr)
|
|
Ice
|
Independence
|
Ice
|
Independence
|
|
Agriculture
|
|
|
|
|
|
Urban
|
|
|
|
|
|
Wetland
|
|
|
|
|
|
Forest
|
|
|
|
|
|
Grass
|
|
|
|
|
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Other
|
|
|
|
|
|
Total
|
61808
|
1450490
|
116
|
1344
|
- To be able to compare loading between the two lakes,
you need to know how much sediment and phosphorus are contributed
per unit area or per unit volume to the lakes (fill in Table 10 using
data from the lake summary
dor each lake), so next you need to convert the total load in kg/yr
to a load per unit area (g/m2/yr) and a load per unit volume
(mg/L).
|
Table
10
Morphometry of lakes Ice and Independence |
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|
Ice
|
Independence
|
|
Lake
Area (104 m2)
|
|
|
|
Volume
(106 m3)
|
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a. Complete
this step for Tables 11 and 12.
Example:
Ice Total Suspended Sediment (TSS) = 5966 kg/yr and its lake area is
16.6 ha.

Based on
these data, what will you tell your client about the effects of land
use practices on water quality? Are there some simple Best Management
Practices that could be implemented to affect water quality?
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Table
11
Predicted annual loadings for Ice Lake |
|
|
TSS
|
TP
|
|
Areal
*
|
|
|
|
Volumetric
**
|
|
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| Table
12
Predicted annual loadings for Lake Independence |
|
|
TSS
|
TP
|
|
Areal
|
422
(g/m2/yr)
|
0.391
(g/m2/yr)
|
|
Volumetric
|
77
(mg/L)
|
0.071
(mg/L)
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* Annual
load per hectare of lake surface
** Annual load per m3 of lake volume
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