Human Development on Benthic Survey and Water Quality Parameters


PURPOSES

The first purpose of this experiment was to determine the effect of human development and land use on the amount of benthic macro invertebrates in streams.

The second purpose of this experiment was to determine the effect of human development and land use on the pollution level according to the variation of benthic macro invertebrates in the stream. 

The third purpose of this experiment was to determine the effect of human development and land use on the amount of dissolved oxygen, conductivity, pH level, and temperature in streams.

I became interested in this idea after seeing numerous streams that varied in color and how clear they were. I knew the land around them was being used by humans for farming, as a place to live, and as land for factories. I also knew that some benthic macro invertebrates would live in them and was curious how the land use affected the bugs and other water quality characteristics, which these macro invertebrates need to live. 

The information gained from this experiment could benefit fishermen. It would also affect where people use water for swimming or other recreation.


                          

  
HYPOTHESES

My first hypothesis was that the amount of macro invertebrates would be greatest at the urban site, least at the agricultural site, and between the two at the industrial site.

My second hypothesis was that the variation of macro invertebrates would be greatest at the urban site, least at the agricultural site, and somewhere in the middle at the industrial site.

My third hypothesis was that the water quality parameters would vary depending on the site.

I based my first hypothesis on a statement in the article “Water Pollution” saying, “Farms also frequently use large amounts of chemical fertilizers that are washed into the waterways and damage the water supply and the life within it. Fertilizers can increase the amounts of nitrates and phosphates in the water, which can lead to the process of eutrophication.” It also said “Many industrial and power plants use rivers, streams and lakes to dispose of waste heat. The resulting hot water can cause thermal pollution. Thermal pollution can have a disastrous effect on life in an aquatic ecosystem as temperature increases decrease the amount of oxygen in the water, thereby reducing the number of animals that can survive there.” I also based it on my own knowledge that benthic macro invertebrates prefer cold water that contains abundant dissolved oxygen. 

I based my second hypothesis on the fact that if there were more benthic macro invertebrates, it was extremely likely that the bugs will also vary more and if there are more bugs, the pollution level will probably be less.

I based my third hypothesis on the statement above from the article “Water Pollution” and “Sewage generated by houses or runoff from septic tanks into nearby waterways, introduce organic pollutants that can cause eutrophication,” from the same sight. I also based it on many statements by Chris Coffin saying that the tests can change depending on what development is upstream from the site.

                EXPERIMENT DESIGN

The constants in this study were:

•    The method used to measure the oxygen in the samples

•    The day the water was tested

•    The number of tests for each site

•    Size and type of net

•    Area tested for benthic macro invertebrates

•    The amount of water tested for dissolved oxygen

•    The depth of the net

•    Method used to measure benthic

•    pH meter 

•    Conductivity meter

•    Thermometer

The manipulated variable was the kind of human development upstream from the site.

The responding variables were:

•    Amount of benthic macro invertebrates found in each stream via a visual count for each sample.

•    Pollution level according to the variety of benthic macro invertebrates in each stream.  To determine this I calculated the Sequential Comparison Index.

•    Dissolved oxygen level using the Winkler test method. 

•    pH level, measured with an electronic pH meter.

•    Conductivity level using a conductivity meter.

•    Temperature measured with an electronic long-line thermometer.
  
MATERIALS

Quantity 
  Item Description
1
D-frame Net
4
Pairs of Disposable Gloves
1
Pair of Hip Waders
1
Layered Clothing
1
Thermometer
6
Gallon Ziploc Baggies
1
Cooler
6 Liters
70% alcohol solution
3 Liters
Demineralized Water
1
Forceps
1
Vegetable Brush
1
Electronic Conductivity Meter
1
Electronic pH Meter
1
Lid of a Bin (59.06x43.18cm)
6 Milliliters
Manganous Sulfate
6 Milliliters
Alkaline-Azine Solution
6 Milliliters
Sulfuric Acid
6 Milliliters
Aqueous Starch Solution
4
Syringes Measuring Two Milliliters
6
Numbered DO Bottles (300 mL)
6
DO Bottle Stoppers
6
DO Bottle Plastic Caps
1
Magnetic Stirrer
6
Stirring Bars
1
Graduated Burette w/ Three Way Stopcock (25 mL)
1 Liter
Sodium Thiosulfate
1
Volumetric Flask (203 mL)
1
Pair of Safety Glasses
6
Erlenmeyer Flasks (1000 mL)
1
Face Mask
1
Plastic Apron
1
DO Bottle Filler
1
Bottle top Dispenser on sulfuric acid bottle 
1
Sodium Thiosulfate Bottle w/ Tubing Connected to Graduated Burette 
1
Pan (16.51 x 26.67 x 3.81 cm)
1
Permanent Marker  
1
Centimeter ruler
1 Liter
Water
3
One Liter Bottles
1
Stopwatch

PROCEDURES

1.    Obtain materials.

2.    Wear layered clothing.

3.    Calibrate pH meter and conductivity meter according to their instructions.

4.    Drive to the agricultural site at West Valley Park.

5.    Note the wildlife and plants on the banks of the creek.

6.    Put on hip waders.

7.    With D-frame net and vegetable brush in hand, wade to a riffle spot in the water.

8.    Place net in the water bottom with the opening facing the current.

9.    Flip the rectangular frame down

10.    Pick up any large rocks inside the frame.

11.    Hold the rocks just in front of the net. 

12.    Use brush to dislodge any macro invertebrates into net and toss rocks to sides of net.   

13.    If any rocks are directly under the frame, brush them off.

14.    After all large rocks are removed, kick in gravel for two minutes (using stopwatch) while holding pole for support.

15.    Splash water into the net to knock any clinging organisms into bottom of net.

16.    Go back to the shore and fill a baggie with about two liters alcohol solution and put it over the tray.

17.    Carefully dump the contents of the net into the baggie over the tray.

18.    Close the baggie.

19.    Put this baggie into another baggie and label it.

20.    Close the outer baggie and put it into the cooler.

21.    Walk about 5 meters upstream from the benthic sampling site.  

22.    Wade into center of the water with a DO bottle, the DO bottle filler, and a stopper.

23.    Rinse this equipment three times in the creek. 

24.    Put cut out end of the filler facing current until water starts to come out of tubing.

25.    Quickly put end of tubing into bottom of the DO bottle and angle filler vertically.

26.    Let the bottle overflow.

27.    Before the filler empties, pull it out of the bottle.

28.    Insert the stopper and pour off extra water above the stopper. 

29.    Record the DO bottle’s number and its site.

30.    Repeat steps 22 – 29 with a new DO bottle and stopper.

31.    Put on a pair of disposable gloves.

32.    Remove the stopper.

33.    With a syringe, insert two milliliters of manganous sulfate into each sample. Keep syringe with reagent for the other sites.

34.    With another syringe, insert two milliliters alkaline-azine solution into each sample. Keep the syringe with reagent for other sites.

35.    Insert the stoppers, pour off any excess, then put on the plastic caps.

36.    Dispose of the gloves.

37.    Put a 1-liter bottle under surface of the water with opening in current until it fills up.

38.    Rinse off the probe with demineralized water three times.

39.    Turn on the conductivity meter and put the probe into this bottle.

40.    Wait until reading becomes steady and record results in microSiemens per centimeter.

41.    Triple-rinse the end of the pH meter.

42.    Put the end of the pH meter into bottle about 3 centimeters under the surface.  

43.    Gently stir water with pH meter wait for reading to become steady.

44.    Record results.

45.    Uncoil the line on the thermometer and make sure it is set to Celsius.

46.    Put probe into the current of the stream.

47.    Wait for the reading to steady.

48.    Record results.

49.    Drive to urban site at Randall Park.

50.    Repeat steps 5 – 49.

51.    Drive to industrial site at Union Gap’s, Main Street.

52.    Repeat steps 5 – 49.

53.    Drive to Department of Ecology laboratory.

54.    Take off the hip waders.

55.    Put on the face mask, plastic apron, and gloves.

56.    Set the bottle top dispenser to two milliliters 

57.    Take caps and stoppers off each DO bottle after the flocculants have settled. 

58.    Carefully put two milliliters of sulfuric acid into each of the six bottles.

59.    Put the volumetric flask into the end of the DO bottle and flip it over.

60.    After flask has filled, overturn volumetric flask into an Erlenmeyer flask until it is empty. Be sure to keep DO bottle with its Erlenmeyer flask.

61.    Rinse the volumetric flask in the sink.

62.    Repeat steps 59-61 until all of the bottles have been used.

63.    Take off the face mask and put on the safety glasses.

64.    Insert two milliliters aqueous starch solution into each Erlenmeyer flask with a syringe.

65.    Put a stirring bar into each of the flasks.

66.    Put magnetic stirrer under the graduated burette and turn the stirrer on to medium.

67.    Fill sodium thiosulfate bottle with sodium thiosulfate and put lid on with connected tubing.

68.    Squeeze the bottle to fill up the graduated burette.

69.    Put an Erlenmeyer flask onto the magnetic stirrer under the graduated burette.

70.    Wipe off any extra drops under the graduated burette.

71.    Slowly turn the stopcock to let sodium thiosulfate out.

72.    Continue until the sample is clear.

73.    Read the amount of sodium thiosulfate used on graduated burette. This is number of milliliters per liter of dissolved oxygen.

74.    Record results.

75.    Repeat steps 68-74 for each flask.

76.    After at least twelve hours, get the benthic samples out of the cooler. 

77.    Put one of the baggie’s contents handful at a time into the depression on the top of the lid, separating the bugs from the gravel using the forceps and magnifying glass.

78.     Grid the tray in two centimeter squares with the permanent marker and ruler.

79.    Put the macro invertebrates from the same sample into the tray.

80.    Put about one centimeter of water in with these macro invertebrates.

81.    Randomly choose a square and pick up the macro invertebrate with the forceps.

82.    Record this as “x” over 1.

83.    Pick up another macro invertebrate from same square or another random square if there are none in same square.

84.     Through the magnifying glass, see if this is the same species, or close to the same. If it is the similar, put it as another “x” over the same number, or record it as an “o” over two, indicating a new run.

85.     Continue randomly selecting squares and comparing until there are no more organisms left in the group.

86.    Count the number of x’s and o’s to find the number of organisms.

87.    To count the runs, simply see the last number on the bottom.

88.    Divide number of runs by number of organisms to get Sequential Comparison Value.

89.    Compare to the index below and sort.

90.    Record results.

91.    Repeat steps 77-90 until all of the samples are done.

Sequential Comparison Index

Excellent    0.9 - 1.0

Good    0.6 - 0.89

Fair    0.3 - 0.59

Poor    0.0 - 0.29

RESULTS
The first purpose of this experiment was to determine the effect of human development and land use on the amount of benthic macro invertebrates in streams.

The second purpose of this experiment was to determine the effect of human development and land use on the pollution level according to the types of benthic macro invertebrates in the stream. 

The third purpose of this experiment was to determine the effect of human development and land use on the amount of dissolved oxygen, conductivity, Ph level, and temperature in streams.

The results of the experiment were that there was the most traced pollution in the water at the industrial site with the highest temperature, lowest dissolved oxygen, normal pH, but high conductivity. The urban site and agricultural site had the least traceable pollution with low temperatures, high dissolved oxygen, average conductivity, and normal pH. The benthic macro invertebrate data contradicts with this. The agricultural site has the most macro invertebrates, urban has the middle amount, and the industrial site has the least. The sequential comparison score has the industrial site, urban site, then agricultural site in order from greatest to least. 

CONCLUSION

My first hypothesis was that the amount of macro invertebrates would be greatest at the urban site, least at the agricultural site, and between the two at the industrial site.

My second hypothesis was that the variation of macro invertebrates would be greatest at the urban site, least at the agricultural site, and somewhere in the center at the industrial site.

My third hypothesis was that the water quality tests would all vary depending on the sites.

The results indicate that my first hypothesis should be rejected because the amount of macro invertebrates went from greatest to least as following: agricultural, urban, and then industrial.

The results indicate that my second hypothesis should be rejected because the pollution level according to the variety of macro invertebrates went from greatest to least with: industrial, urban, and agricultural.

My third hypothesis should be accepted because the tests were not the same.

After thinking about the results of this experiment, I wonder if the results would have been the same in a different season. I wonder if it would make a difference if there had been a different water level because I know it was not normal height. I would also be curious how sampling after certain farms, industries, or houses would affect the data. I would possibly use a dissolved oxygen meter and a more accurate pH meter. To make it a little simpler, I may have not done all of the tests so I could focus on only one parameter or just the macro invertebrates.

If I were to conduct this project again I would have sampled a larger area for macro invertebrates and possibly used a different method for measuring these. I also would have tested for temperature, conductivity, dissolved oxygen, and pH in many more samples. I would have measured in many seasons and at the same time of day on different days instead of all on the same day. I would have calculated the biochemical oxygen demand and probably tested in the sediment. I would have tested on more than one stream on a regular basis to try to locate a pattern. Possibly, I would have found the fish population in my stream.

Researched by ---- Alan B

Read More

Gender Comparison of the Stroop Effect


PURPOSE

The first purpose of this experiment was to determine whether for seventh grade boys and girls, a word’s color would be harder to state when the meaning was a mismatched word.

The second purpose of this experiment was to see if the seventh grade boys would have more difficulty speaking the color of words with a mismatched meaning than the seventh grade girls.

I became interested in this idea when I was in my mom’s eighth grade classroom. I saw a list of words printed in colors that didn’t match the actual word. I tried to say the word’s color, but found it was very hard to do. I wondered, “If I try this on other people will they state the word, or the word’s color?”

The information gained from this experiment could inform students, and teachers who are interested in how the human’s brain prioritizes stimuli.

HYPOTHESIS

My first hypothesis was that for seventh grade boys and girls, a word’s printed color would be harder to state when the meaning was a mismatched color word.

My second hypothesis was that seventh grade boys would have more difficulty speaking the color of words with a mismatched than the seventh grade girls.

I based my first hypothesis on Bryanna Bruskland’s results from similar testing in 2003-2004. Her results indicated that the Stroop color affected both the seventh grade boys and girls.

I also based my second hypothesis on Bryanna Bruskland’s project when she tested to see whether or not boys would say the color faster than the girls would. Her results indicated that girls could say the color faster than the boys could.

EXPERIMENT DESIGN

The constants in this study were:

•    Amount of words in test number 1 (32)

•    Amount of words in test number 2 (32)

•    Amount of words in test number 3 (32)

•    The colors of the words and the words in test number 1

•    The colors of the words and the words in test number 2

•    The colors of the words and the words in test number 3

•    The grade of the students (seventh)

•    Room tested in (Team 5 Activity Room) 

•    The instructions

•    The example test

•    Color of paper (white)

•    The font type and size

•    Number of seventh grade boys (10)

•    Number of seventh grade girls (13)

The manipulated variable was the match and mismatch of the word’s color to the word’s meaning.

The responding variables were how fast it took the seventh grade students to state the word’s color and the number of errors.

To measure the responding variable, I used a stopwatch to time how long it took the student to say the word list. I tallied the errors as they gave their responses.

MATERIALS

Quantity 
Item Description
1
Sample Test
1
Mis-Matched Stimuli Test
23
Parent Slips
1
Testing Room
1
Data Sheet
23
Permission Slips
1
Stop Watch
1
Unrelated Stimuli Test
1
Matched Stimuli Test
69
Answer Sheets for Experimenter to tally errors
        
PROCEDURES

1.    Create Word Tests A, B, and C by writing all the colors on a piece of scrap paper and have a student randomly pick color from a coffee mug

2.    Make sure that the student picks the color four times 

3.    Send out 23 permission slips to 10 girls and 13 boys

4.    Create the Test Order Table for Word Tests A, B, and C to avoid having subjects take the tests in the same order (Word Test A could interfere with Word Tests B and C)

5.    When signed permission slips are returned, randomly assign students to test groups 1, 2, and 3

6.    Select a time with the teachers of the students

7.    Test one student at a time in a quiet school area

8.    Tell the student the instructions and answer questions

9.    Give them the sample test and help them practice saying the color of the shape

10.    If the student does not pass this test and has more then 10 colors than the student can finish the test but the information should be destroyed

11.    Using the Test Order Table, give Word Test A, B, or C first

12.    Start timing when you say go

13.    Mark errors on the answer sheet as student says the colors

14.    When they are done saying the colors of the words record the time on the answer sheet

15.    Repeat steps 9 through 12 with the 2nd test from the Test Order Table

16.    Repeat steps 9 through 12 with the 3rd test from the Test Order Table

17.    Release student back to class

18.    Repeat steps 6 through 16 with the rest of the subjects

RESULTS

The first original purpose of this experiment was to determine whether for seventh grade boys and girls, a word’s color would be harder to state when the meaning was a mismatched word.

The second purpose of this experiment was to see if the seventh grade boys would have more difficulty speaking the color of words with a mismatched meaning than the seventh grade girls.

The results of the experiment showed that the girls and boys together performed better on the Matched Stimuli, then the Unrelated Stimuli, and then the Mis-Matched Stimuli. 

The results for the word testing for the Matched Stimuli was that the overall average for errors was 0.1, the girl’s average was 0.1, and the boy’s average was 0.1 also. For the response time the overall average was 14.3 seconds, the girl’s average was 13.3 seconds, and the boy’s average was 15.7 seconds. 

On the testing for the Unrelated Stimuli, the overall average for the number of errors was 0.7, the girl’s average was 0.3, and the boy’s average was 1.3. For the response time the overall average was 22 seconds, the girl’s average was 22.1 seconds, and the boy’s average was 21.9 seconds. 

The testing for the Mis-Matched Stimuli, the overall average for the number of errors was 1.9, the girl’s average was 1.9, and the boy’s average was 1.9. For the response time the overall average was 28.3 seconds, the girl’s average was 28.7 seconds, and the boy’s average was 27.7 seconds. 

CONCLUSION

My first hypothesis was that for seventh grade boys and girls, a word’s printed color would be harder to state when the meaning was a mismatched color word.

The results indicate that this hypothesis should be accepted, because on the test called, “Matched Stimuli,” the average number of errors was 0.1 and the number of seconds was 14.3, but on the word test called, “Mis-matched Stimuli,” the average number of errors were 1.9 and the number of seconds was 28.3. That proves that when the meaning is a mismatched color word it will be more difficult for the student to state the printed color.

The second hypothesis was that seventh grade boys would have more difficulty speaking the color of words with a mismatched meaning than the seventh grade girls.

My results indicate that this hypothesis should be rejected because on all the word tests, the boy’s seemed to get a better score than the girl’s. For example, on the word test named, “Mis-Matched Stimuli,” the boy’s took on average 27.7 seconds to tell me the printed color word, but the girl’s took on average 28.7 seconds. That shows that the boy’s were faster than the girl’s on telling me the printed color word, and the number of errors was about the same.

After thinking about the results of this experiment, I wonder if third graders, seventh graders, and eleventh graders would compare.

If I were to conduct this project again I would try to have many more subject than I had this time. I would try to have a more equal number of boys and girls, I would also use more words per test so that I can have more results to prove my purpose and my hypothesis.


Researched by ---- Jacklyn B

Read More
Home About-us Privacy Policy Contact-us
Copyright © 2017 www.sciencefairprojects.in | All Rights Reserved. Design By Templateclue