Names: Phosphate Data Sheet Nitrate Data Sheet Turbidity Data ...
Names: Phosphate Data Sheet Nitrate Data Sheet Turbidity Data ...
Names: Phosphate Data Sheet Nitrate Data Sheet Turbidity Data ...
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<strong>Names</strong>:<br />
<strong>Phosphate</strong> <strong>Data</strong> <strong>Sheet</strong><br />
Sample (Control / Stream) Result<br />
(ppm = parts per million)<br />
Interpretation:<br />
<strong>Phosphate</strong> (ppm) Score<br />
0 Excellent<br />
1 Excellent<br />
2 Good<br />
4 Fair<br />
<strong>Nitrate</strong> <strong>Data</strong> <strong>Sheet</strong><br />
Sample (Control / Stream) Result<br />
(ppm = parts per million)<br />
Interpretation:<br />
<strong>Nitrate</strong> (ppm) Score<br />
0 Good<br />
5 Fair<br />
20 Poor<br />
41 Poor<br />
ppm nitrate<br />
ppm nitrate<br />
ppm phosphate<br />
ppm phosphate<br />
<strong>Turbidity</strong> <strong>Data</strong> <strong>Sheet</strong><br />
Sample (Control / Stream) Result<br />
(JTU = Jackson <strong>Turbidity</strong> Units)<br />
<strong>Turbidity</strong> (JTU) Score<br />
0 Excellent<br />
>0 to 40 Good<br />
>40 to 100 Fair<br />
>100 Poor<br />
JTU<br />
JTU<br />
Coliform Bacteria <strong>Data</strong> <strong>Sheet</strong><br />
Sample (Control /<br />
Stream)<br />
Result<br />
Interpretation:<br />
Negative = good (pathogens absent), Positive = bad<br />
(pathogens present)
pH <strong>Data</strong> <strong>Sheet</strong><br />
Sample (Control / Stream) Result<br />
pH =<br />
Interpretation:<br />
pH Score<br />
4 Poor<br />
5 Poor<br />
6 Good<br />
7 Excellent<br />
8 Good<br />
9 Poor<br />
10 Poor<br />
11 Poor<br />
pH =<br />
Benthic Macroinvertebrate <strong>Data</strong> <strong>Sheet</strong><br />
1.Count the number of specimens you have in each category (using the<br />
diagrams you have) and put the numbers in the table below. You may<br />
not have specimens in each category.<br />
2. Multiply the number of specimens by the point value for that<br />
category, and put the total in the final column.<br />
3. Add the right hand column nd put the total at the bottom.<br />
4. Use the interpretation key at bottom to determine the health of your<br />
watershed.<br />
Group 1: Very Sensitive<br />
to Pollution<br />
Group 2: Somewhat<br />
Sensitive to Pollution<br />
Group 3: Generally<br />
Tolerant to Pollution<br />
Total Points<br />
Number of<br />
Specimens<br />
Water Quality Index Interpretation<br />
> 22 Points: Very Healthy<br />
17-22: Good Health<br />
11-16: Fair Health<br />
Dissolved Oxygen <strong>Data</strong> <strong>Sheet</strong><br />
Step One: Find how much oxygen is in the water by<br />
doing the experiment.<br />
Sample (Control / Stream) Result<br />
(ppm = parts per million);<br />
ppm Dissolved Oxygen<br />
ppm Dissolved Oxygen<br />
Step Two: Return the test kit and get a thermometer.<br />
Find the temperature of the water.<br />
Sample (Control / Stream) Result<br />
Step Three: Find the % Saturation of your water<br />
samples using the dissolved oxygen and temperature and<br />
the table on this page. The higher the saturation, the<br />
more oxygen is in the water.<br />
°C<br />
°C<br />
⁰Celsius<br />
Temp<br />
Interpretation: compare Percent (%) saturation:<br />
Dissolved Oxygen<br />
0 4 8<br />
0 4 8<br />
ppm ppm ppm ppm ppm ppm<br />
4 0 31 61 18 0 42 84<br />
6 0 <br />
8 0 <br />
10 0 <br />
12 0 <br />
14 0 <br />
16 0 <br />
32<br />
34<br />
35<br />
37<br />
39<br />
41<br />
64<br />
68<br />
71<br />
74<br />
78<br />
71<br />
20 0 <br />
22 0 <br />
24 0 <br />
26 0 <br />
28 0 <br />
30 0 <br />
44<br />
46<br />
48<br />
49<br />
51<br />
53<br />
88<br />
92<br />
95<br />
99<br />
102<br />
106<br />
Temp ⁰Celsius<br />
Example: at 22⁰C, if your DO result is 4 ppm, the % saturation is<br />
46.<br />
Final result: Percent Saturation<br />
Sample (Control / Stream) Result<br />
Dissolved Oxygen<br />
Dissolved Oxygen
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