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Air Dispersion M odeling Verification Study
Oct 22,2003
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O b jective
Compare results from ambient air sampling and air dispersion modeling to understand how modeling predictions relate to measured ambient air concentrations
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Verification Study Scope
Air Sampling Program Analytical Methods Modeling Analysis of Results
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Air Sampling Locations
Simultaneous coverage of all 4 major wind directions (N, S, E, W)
Capture point of predicted maximum concentration from modeling
Include co-located samplers at predicted maximum
Total of six locations
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Air Sampling Loc
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Air Sampling Strategy
Measure ambient air levels i
24-hour sampling duration Seven (7) sampling events scheduled over 6
weeks Vary day of week to capture variations in daily
operations (none expected) and variations in meteorology Record site-specific meteorological and operational data
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Monitoring Strategy: Samples taken every 6 days for 6 weeks.
MONTH!
2 3 4 5 6 8 9 10 11 12 1 4 15 16 17 1 8 0 )2 0 21 22 23 2 4 0 ) 2 6 27 28 29 3 d _______
MONTH 2
12 3 4 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
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Monitoring Strategy: Samples taken every 6 days for 6 weeks,
On site training
For internal use: potential schedule
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December
12 3
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SoB 14 15 16 17 18 19 20
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Total Samples
(1) field blank per event (5) primary samples per event (1) duplicate sample per event*_____________ (7) samples x (7) sampling events = 49 total samples
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WO * Sample location 3 is co-located with location 2 and serves as a duplicate sample
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Equipment
"Sorbent" sampling method to capture PFOA on ion-exchange media
OSHA Versatile Sampling tube (OVS) Captures particles and vapors Remote power source will be provided Weatherproof stations for sampling | equipment
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OVS Tube
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Analytical Method
Validated method being used Acetone extraction followed by liquid
chromatography/mass spectrometry (LC/MS) Detection limit of 0.1 ug/m3
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Modeling Program
Using U.S. EPAISCST3 Model Model will simulate actual field conditions
- Site-specific surface meteorological data (wind speed and direction, temp, stability)
i - O ff-site upper air meteorological data - Em issions data
Site specific operational data w ill be used to relate production data to emissions levels using "capacity factor"
Capacity factor based on prior stack testing and mass balance
I - 24-hour averaging time - Predictions at actual height and location o f air monitoring
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Comparison o f Results
Comparing 35 pairs of measured and modeled data - (5) primary sampling points x (7) sampling events
Will use statistical tools to evaluate correlation/differences between measured and modeled data
Internal? Questions we are trying to answer
Are modeled and measured data wellcorrelated? (+/- X%)
What is the probability or confidence level that the model predictions will be equal to or greater than the measured value?
Does model "accuracy" change at different oat0uoJ\ concentration levels?
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Statistical Analyses
Plot of measured vs. modeled data to test linear correlation
Statistical goodness o f fit criteria (R -squared)
Simple sign test for residuals
- Calculate (measured - modeled) - Trend in residuals: positive, negative, neutral
Plot of residuals vs. modeled data to test goodness of fit at different concentrations
T est sp ecific hypotheses; exam ples
- Model predicts within 20% o f measured value. - Model over predicts 50% o f the time.
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Project Timing
remaining internal questions
Are there site communications we need to think about prior to sampling?
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EXTRA SLIDE
Feasibility o f Deposition M odeling
Wet and dry deposition rats are small - maximum rate 0.18 gram/m2-yr for year 2000
Direct field measurement on 24-hr basis immeasurable, so direct comparison with short term modeling not feasible
Use model verification to add degree o f confidence
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Deposition M odeling
Both wet and dry deposition algorithms depend on the ability of the model to calculate ambient air concentrations
- Dry deposition flux = Ambient hourly concentration x deposition velocity
i - Wet deposition flux = f(scavenging coefficient x ambient concentration integrated in the vertical)
Verification of ambient air model will help | confirm basis for deposition calculations
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