Student
Name(s): ______________________________________________
Date: ________________
Conductivity
is a measure of water's ability to conduct electrical current. Measurements
of conductivity provide a general indication of water quality. The
geology
of a lake's watershed establishes the normal ranges for conductivity
in a lake. Some pollution discharges and polluted runoff into lakes
can cause changes in conductivity, especially if the pollutants include
inorganic dissolved
solids such as ions: bicarbonate, sulfate, chloride, calcium, magnesium,
sodium, potassium, and phosphate.
In this
lesson, you will explore the conductivity of various samples in the
laboratory, and you will use WOW data to investigate conductivity in
a lake. All WOW conductivity data are temperature compensated to 25°C
(usually called specific EC). We do this because the ability of the
water to conduct a current is very temperature dependent. We reference
all EC readings to 25°C to eliminate temperature differences associated
with seasons and depth. Therefore EC 25°C data reflect the dissolved
ion content of the water (also routinely called the TDS or total dissolved
salt concentration).
Part
I - Conductivity in the Laboratory
Knowledge
Base
Review your
knowledge of materials that are good conductors and poor conductors of
electricity. How does conductivity relate to lakes? How might material
in lakes affect conductivity?
Experimental
Design
You need the
following equipment to complete the lab:
- A
hot water bath for samples
- Conductivity
pen (or other conductivity meter)-determine if it is temperature compensated
(see RUSS parameters).
- Five
50 ml beakers or small clear glasses
- A
squirt bottle filled with distilled water
- A
thermometer or temperature probe
Based on your
knowledge of conductivity, rank predictions for the different samples
of water in Table 1 (1 = best conductor [highest conductivity] to 13 =
poorest conductor). Record explanations for your rankings in your lab
journal.
As you complete
this experiment, it is important that you rinse the sample beaker with
distilled water between each test.
Data Collection
Enter your
measurements for conductivity into Table 1. Then select four samples
that you want to test at warmer temperatures. After testing those samples
at room temperature, the samples should be placed in a hot water bath
until the samples have increased in temperature by 10 degrees. (Rinse
the thermometer each time it is used to check the sample temperature.)
Table
1: Conductivity in Lab Water Samples
Sample
|
Temperature
of Sample
|
Predicted
Conductivity Ranking
|
Measured
Conductivity
|
Conductivity
when sample's heated by 10 degrees (test only 4)
|
Distilled
water
|
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Tap
water
|
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Lake
water
|
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Tap
water with baking soda
|
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Tap
water with table salt
|
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Tap
water with granite chips
|
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Tap
water with nitrate rich fertilizer
|
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Tap
water with clay
|
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Tap
water with organic material (peat)
|
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Tap
water with soil
|
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Tap
water with phosphate fertilizer
|
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Tap
water with oil
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Tap
water with sand
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Data
Management and Analysis
1. What variables
might affect the differences in your observations for each sample?
2. How does
the temperature of the sample affect its conductivity?
Interpretation
of Results
3. What might
be inferred about conductivity readings in lakes?
Reporting
Results
Turn your
answers in to your teacher when you have completed both parts of this
lesson.
Part
II - Conductivity in Lakes
Knowledge
Base
Use Table
2 for this portion of the lesson. You will be collecting data from a
lake during the summer. Reflect on what you know about conductivity,
including
your hands-on experiences in part 1 of this lesson. Then begin by filling
in your predictions for ranking conductivity levels within the lake depths.
Experimental
Design
Decide which
of the WOW lakes you will investigate. Select a day from within the summer
season to collect your conductivity data.
Data Collection
Access the
conductivity data from the WOW Web site and record it in Table 2.
Table
2: Conductivity in a Lake
Lake
Name:
|
Date
data was collected:
|
Time
data was collected:
|
Depth
(in meters)
|
Predicted
Ranking
|
Conductivity
Measurements
|
Actual
Ranking
|
1
|
|
|
|
2
|
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3
|
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4
|
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5
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6
|
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7
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8
|
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9
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10
|
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11
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12
|
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13
|
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14
|
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|
15
|
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|
Data Management
and Analysis
Create a line
graph of your data on conductivity (either create the graph by hand or
use a spreadsheet program like Excel).
Review conductivity
data for the lake on other dates.
Interpretation
of Results
- What might cause the conductivity readings to vary within different
layers of the lake?
- What can you infer about the relationships between time of day or
time of year and conductivity values?
- What types of lake pollutants might be suspected based on conductivity
measurements?
Data Presentation
Turn your
results in to your teacher.
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