techniques utilizing ambient pm2.5 air quality data to aid in the 24 hour designation process...
TRANSCRIPT
![Page 1: Techniques Utilizing Ambient PM2.5 Air Quality Data to Aid in the 24 hour Designation Process Michael Rizzo AQAG/AQAD/OAQPS EPA State / Local / Tribal](https://reader036.vdocument.in/reader036/viewer/2022070306/5517ca5955034616658b4a76/html5/thumbnails/1.jpg)
Techniques Utilizing Ambient PM2.5 Air Quality Data to Aid in the 24 hour Designation Process
Michael RizzoAQAG/AQAD/OAQPS
EPA State / Local / Tribal Training Workshop: PM 2.5 Final Rule Implementation and 2006
PM 2.5 Designation ProcessJune20-21
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What are the techniques?
• SLICE– Stratify and quantify daily PM2.5 concentrations into regional
and urban contributions– Estimate the immediate increment by site
• Residence Time Weighted Emissions– Use of wind trajectories to weight county level emissions – Highlights counties whose emissions are upwind of high sites on
high days
• Urban Gradient– Neighboring site gradient estimator– Helps to identify sites with a potential local source influence on a
daily basis
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About the techniques
• Techniques provide important information in regard to the magnitude of area and local influences on PM2.5
• None are meant to be prescriptive but are available to aid in providing a better indication of influencing areas and sources
• All are evolving by varying degrees
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1st Technique: SLICE(Spatially Layered Interpolated Component Estimator)
• Technique clusters ambient monitoring data into “natural” classifications allowing for increments above background to be calculated
• Indicator of possible urban emissions affecting ambient concentrations
• Technique is utilized on daily basis
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FRM PM2.5 speciation - 06/27/2005
PM2.5 > 95th%ile (pie with white dot): PM2.5 > 95th %ile (wo SANDWICH data) Other PM2.5 wo SANDWICH data
lower conc value (pie wo white dot)
missing STN 24-hrDV>35ug/m3 (red=only 24-hr elig.)
Large Regional Sulfate Event
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Higher concentrations observed in major urban areas in the northern part of the domain
06/27/2005
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06/27/2005
23.1 – 34.3 ug/m3 34.4 – 42.5 ug/m3 42.6 – 50.3 ug/m3 50.4 – 61.1 ug/m3 61.1 – 79.2 ug/m3
Regional Regional Regional/Urban Urban Urban/MicroscaleRegional6.0 - 23.0 ug/m3
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23.1 – 34.3 ug/m3 34.4 – 42.5 ug/m3 42.6 – 50.3 ug/m3 50.4 – 61.1 ug/m3 61.1 – 79.2 ug/m3
Regional Regional Regional/Urban UrbanRegional6.0 - 23.0 ug/m3
Urban/Microscale
06/27/2005
1st Slice
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23.1 – 34.3 ug/m3 34.4 – 42.5 ug/m3 42.6 – 50.3 ug/m3 50.4 – 61.1 ug/m3 61.1 – 79.2 ug/m3
Regional Regional Regional/Urban UrbanRegional6.0 - 23.0 ug/m3
Urban/Microscale
06/27/2005
2nd Slice
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23.1 – 34.3 ug/m3 34.4 – 42.5 ug/m3 42.6 – 50.3 ug/m3 50.4 – 61.1 ug/m3 61.1 – 79.2 ug/m3
Regional Regional Regional/Urban UrbanRegional6.0 - 23.0 ug/m3
Urban/Microscale
06/27/2005
3rd Slice
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23.1 – 34.3 ug/m3 34.4 – 42.5 ug/m3 42.6 – 50.3 ug/m3 50.4 – 61.1 ug/m3 61.1 – 79.2 ug/m3
Regional Regional Regional/Urban UrbanRegional6.0 - 23.0 ug/m3
Urban/Microscale
06/27/2005
4th Slice
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23.1 – 34.3 ug/m3 34.4 – 42.5 ug/m3 42.6 – 50.3 ug/m3 50.4 – 61.1 ug/m3 61.1 – 79.2 ug/m3
Regional Regional Regional/Urban UrbanRegional6.0 - 23.0 ug/m3
Urban/Microscale
06/27/2005
5th Slice
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23.1 – 34.3 ug/m3 34.4 – 42.5 ug/m3 42.6 – 50.3 ug/m3 50.4 – 61.1 ug/m3 61.1 – 79.2 ug/m3
Regional Regional Regional/Urban UrbanRegional6.0 - 23.0 ug/m3
Urban/Microscale
06/27/2005
6th Slice
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This base slice is considered to be the underlying regional layer for the domain
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The next regional slice is added on top of the base slice
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Another regional slice is added on top of the two existing slices
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A regional/urban slice is added to the existing three layers
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Urban area emissions contribute to “island” effects in Chicago, Detroit/Toledo, Southern IN, Youngstown, Cleveland and Steubenville
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An urban/microscale “island” appears downwind of Detroit in the last slice
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Regional Regional Regional/Urban UrbanRegional
06/27/2005
6.0 – 23.0 ug/m3
Up to 23 ug/m3
Urban/Microscale
This is the base layer on whichall other slicesare placed
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06/27/2005
Regional Regional Regional/Urban UrbanRegional6.0 – 23.0 ug/m3
Up to 34.3 ug/m3
Up to 11.3 ug/m3
Urban/Microscale
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06/27/2005
Regional Regional Regional/Urban UrbanRegional
Up to 42.5 ug/m3
23.1 – 34.3 ug/m3 Up to 8.2 ug/m3
Urban/Microscale
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06/27/2005
Regional Regional Regional/Urban UrbanRegional
Up to 50.3 ug/m3
34.4 – 42.5 ug/m3 Up to 7.8 ug/m3
Urban/Microscale
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06/27/2005
Regional Regional Regional/Urban UrbanRegional
Up to 61.1 ug/m3
42.6 – 50.3 ug/m3 Up to 10.8 ug/m3
Urban/Microscale
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06/27/2005Notice demarcation layer along Ohio River Valley
Regional Regional Regional/Urban Urban Urban/MicroscaleRegional
Up to 79.2 ug/m3
50.4 – 61.1 ug/m3 Up to 18.1 ug/m3
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2nd Technique: Residence Time Weighted Emissions
• Utilize trajectories on days when PM2.5 is greater than area’s lowest 98th percentile by year
• Incorporate information from SLICE to include sites within an “urban island” rather than just a single site to determine the location of air masses influencing an entire area
• Use the results from the calculated trajectories to determine a trajectory density (i.e. what areas do most of the trajectories pass through) to act as a series of weights for emissions estimates
• Utilize county level emissions estimates to determine those areas with the greatest impact
• Aggregate weighted emissions by season into a Total Influential Emissions Score for high days
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Trajectory Density for High Days for 2003-2005 in Milwaukee, WI
Normalized Density
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Trajectory Densities Total PM2.5 Emissions
EQUALS . . . . . .
times
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Weighted Total PM2.5 Emissions
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Before weighting After weighting
Comparison of Milwaukee Area Total PM2.5 Emissions Before and After Weighting
Greater emphasis is placed on those counties where air on high days passed through
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3rd Technique: Urban Gradient
• Identify sites predominantly affected by local sources
• Technique is utilized on a daily basis• Examines total net gradient between each site
and its “neighboring” sites• Weighted by distance to take into account
monitors far apart from one another• Examine only those sites with net positive
gradient• Utilize meteorological, emissions and satellite
data to examine potential sources of gradient
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Start with a collection of sitesFind each site’s nearest neighborsLet’s look at one site in particular
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50 ug/m3
56 ug/m3
46 ug/m3
54 ug/m3 40 ug/m3
43 ug/m3
43 ug/m3
40 ug/m3
25 km
20 km
20 km
20 km
17 k
m10 km
17 km
Distance weighted gradient:(-4 ug/m3 * 0.06) + (10 ug/m3 * 0.13) + ….. + (4 ug/m3 * 0.13) = 6.2 ug/m3
Use percentiles of the gradients’ distribution to distinguish high values
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Urban Gradient Legend• PM2.5 Point Sources from
National Emission Inventory
• Windroses– Frequency distribution of 24 hour
measured wind speeds by wind direction
– Numbers represent the percentage that the wind speed was coming from that direction during the day
– Colors represent wind speeds (Cooler colors represent lower wind speeds)
• Blue: 1-5 mph• Green: 5-10 mph• Yellow: 10-15 mph• Orange: 15-20 mph• Red: 20-25 mph• Purple: >25 mph
0.5 to 5 tons/year
6 to 15 tons/year
16 to 30 tons/year
31 to 50 tons/year
Greater than 50 tons/year
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approximately 110 miles
February 12, 2004
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approximately 40 miles
February 12, 200438% calm winds with light winds from the north andsoutheast (stagnant airmass)
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approximately 40 miles
February 12, 2004Variety of sourcesupwind of site in question
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with railroadsand highways
Industrial area
approximately 5-7 miles
February 12, 2004
in close proximityto a residential neighborhood
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Urban Gradient
• Exploring how often gradients in areas with high 24 hour concentrations occur on days greater than 35 ug/m3
• Attempting to quantify the magnitude of the gradient in relation to regional and urban influences to determine the local source influence above and beyond the regional and urban contributions
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Integrating the Three Techniques• Envision using all three techniques for
areas across the country– Residence time weighted emissions: Isolate
geographic areas which may be substantial contributors to the area’s ambient PM2.5 concentrations on more of a regional scale
– SLICE + Urban Gradient: Integrate between the two techniques to isolate specific days with gradients above and beyond the overall urban contribution
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An Example of Utilizing All Three Techniques in Milwaukee, WI
The high days in Milwaukee mostly occur during thewinter months.
• When did the high days in Milwaukee occur?
2003-2005
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Milwaukee High Day SLICE Results
Regional/Urban
Regional
Urban/Microscale
Mean: 28.8 ug/m3Range: 19.9-41.0 ug/m3
Mean: 5.4 ug/m3Range: 0.0-10.5 ug/m3
Mean: 2.9 ug/m3Range: 0.0-16.6 ug/m3
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Trajectory densities for the high days inMilwaukee CSA.
A lot of the trajectoriescoming into Milwaukeego through central Illinoisand Northwest Indianaas well as the “collar”counties surrounding Milwaukee
Residence Time Weighted Emissions
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Residence Time Weighted Emissions
Weighted crustal and total carbon emissions would suggest local impacts from the Milwaukee CSA as well as possible impacts from Chicagoland area
Crustal weighted emissions Total Carbon (EC and OC)weighted emissions
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Residence Time Weighted Emissions
SO2 weighted emissions NOx weighted emissions
SO2 and NOx as an indicator of secondary PM2.5 suggest emission influencesfrom the Chicago area with some indication that there are also contributions fromemissions within Milwaukee County
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Creating a Total Influential Emissions Score
• Look at the average species composition across the high days by season for the daily increment over and above the seasonal average
Example of the averagewinter composition
Other seasonal compositionswill look different (e.g. summer will have a majorityof sulfates)
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Total Influential Emissions Score
• Multiplying the corresponding seasonal weight by each component and summing over all seasons give the total influential emissions score for the area (CSA +surrounding counties)
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Milwaukee Site Gradients
February 18, 2004
approximately 300 miles
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What did the winds look like?approximately 20 miles
February 18, 2004
High winds from the southwest
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What local sources are nearby?approximately 5-7 miles
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Less than one mile
Rail line and spur
Residential neighborhoods
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What does the example show?
• High days in Milwaukee can have high regional concentrations even before the urban contribution is added into the total PM2.5 concentration
• Winds on the high days in Milwaukee predominantly come from the south blowing across central Illinois and also includes the Chicagoland area
![Page 54: Techniques Utilizing Ambient PM2.5 Air Quality Data to Aid in the 24 hour Designation Process Michael Rizzo AQAG/AQAD/OAQPS EPA State / Local / Tribal](https://reader036.vdocument.in/reader036/viewer/2022070306/5517ca5955034616658b4a76/html5/thumbnails/54.jpg)
What does the example show?
• Total Influential Emissions Scores show that emissions from counties outside the Milwaukee CSA influence the ambient PM2.5 concentrations in Milwaukee
• Urban Gradients– More analysis is needed to determine frequency of days
with higher gradients– Need to determine magnitude of the gradient in relation
to the regional and urban contributions to better estimate the contribution from the local sources versus the regional/urban contributions for control strategy purposes