Morningside Atgmospheric Particulates Data
General Problem: Measuring atmospheric particulate levels and relating them to weather.
Tip 3: ALL DATA CONTAINS NOISE!
- Sources of noise:
- Sensor inaccuracies and miscalibrations
- Statistical flucuations
- Desired signal is mixed together with undesirable one (noise)
- Uncertainty in proper way of converting from measured quanity
to desired quantity
- Try to understand what the sources of noise are for your data!
- Record error estimates as part of your data tables
You probably have noticed that when you leave the window of your room open
for several days that a lot of black particles accumulate on your floor and
window sill. Constantly there is a flux of particles raining down from the
atmosphere. Some of these particles are washed out of the atmosphere by
precipitation (wet deposition), some are deposited simply by gravitational
settling in the atmosphere (dry deposition). Your task in this experiment
is to determine the dry deposition flux in New York City using the provided
Scotch tape.
Things To Do:
Session 1: Collecting the data
- Familarize yourself with Atmospheric Particulates
- Peel off one (only one!) layer of the provided tape and put it on something
flat and heavy with the sticky side pointing upward as demonstrated in class.
Put it somewhere outside where you think you will get a representative
particle flux. Collect particles for about 24 hours. Then take the scotch tape
and fix it (sticky side down) on the provided Sampling Sheet,
so that the 5 squares are covered.
We intentionally do not want to give you a detailed list of
instructions. We want you to spend some time thinking for yourself how to best
conduct the experiment.
- The instructor will assign you a time during which you should collect the
samples.
- Think carefully about where to collect your data!
- Which parameters may have an influence on the experiment? Please take notes
of all the circumstances during the experiment.
- Count the number of particles in each of the 5 squares of your sample
with the provided magnifying lens and write down the results on a separate sheet.
label the individual counts as XY1...XY5 (XY stands for your initials, two
letters only!). Repeat counting particles of the 5 squares without looking at
your previous results and write down the results, labeling them XY6...XY10.
Bring the Samp0ling sheet and your counts to the next class.
Session 2: Data Analysis
- Enter your own data into a single column of a spreadsheet, with the
first set of 5 counts in the first five rows, the second set in the next
five rows.
- Determine the mean, standard error of the mean, median
and standard deviation of the first 5 counts, the second 5 counts and
of all 10 counts. Is there a difference between the two sets of
counts? What could be the cause?
- Write you 10-count mean and standard error of the mean in the proper time
slot in the table your instructor has provided on the classroom blackboard.
When the table is complete, you will use it to examine the time variability
of particulates.
- Make a histogram of the 10 counts of your sample and mark mean,
standard error of the mean, median and standard deviation on it.
- Take the histogram from above and overlay the normal adistribution
(Excel function: NORMDIST). Use the bar/line combination plot for
this. Are your data normal distributed?
- Swap your sampling sheet with another student. Count the 5 squares of
this other sheet twice. Calculate again mean, standard error of the mean,
median, and standard deviation. Compare your results to the other student's.
- Enter the data from the blackboard into a spreadsheet, and save it for
the next session.
Session 3: Interpretation and Summarization
- Examine the particulate time series that you saved from the last session. Plot both
the mean measurement and the standard error of the mean (as error bars). Is there a
statistically significant variation of atmospheric particulates over the
course of the experiment?
- It you find a trend, do you have an
explanation? Look at the weather data and air trajectories for the
particular days from the COLA/IGES current weather conditions maps.
- What conclusions can we draw regarding the particle deposition
rates in NYC?
- Use the remaining class time to work on your lab reports.
In the lab report discuss the question what you could learn about the
dry deposition flux of particulate matter in NYC from the experiments
that were done by you and other students on "your" day.
In your lab report discuss:
- What you could learn about the
dry deposition flux of particulate matter in NYC from the experiments
that were done by you and other students on "your" day.
- Your own data. Where and when were they obtained, were they
normally distributed? Include the histogram plus normal distribution for your day.
- All data for your day. See if there are differences between the observers and
the experiments for your day.
- All data. Can the weather pattern explain differences between
the two days?