Low-Wind/High Particulate Matter Episodes in the Low-Wind/High Particulate Matter Episodes in the Calexico/Mexicali Region Calexico/Mexicali Region K.E. Kelly 1 , I.C. Jaramillo 1 , M. Quintero-Núñez 2 , K. Collins 3 , H.L.C. Meuzelaar 1 , J.Villar 2 ,,C. Gonzalez 2 , M. Bejarano 3 , D. Wagner 2 , and J.S. Lighty 1 1 The University of Utah The University of Utah 2 2 Universidad Autónoma de Baja California Universidad Autónoma de Baja California 3 3 San Diego State University, Imperial Valley San Diego State University, Imperial Valley Axel Schönbucher: Essen- Duisburg
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Low-Wind/High Particulate Matter Episodes in the Calexico/Mexicali Region 1 The University of Utah 2 Universidad Autónoma de Baja California 3 San Diego.
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Low-Wind/High Particulate Matter Episodes in the Low-Wind/High Particulate Matter Episodes in the Calexico/Mexicali RegionCalexico/Mexicali Region
K.E. Kelly1, I.C. Jaramillo1, M. Quintero-Núñez2, K. Collins3, H.L.C. Meuzelaar1, J.Villar2,,C. Gonzalez2, M. Bejarano3, D. Wagner2, and J.S. Lighty1
11 The University of UtahThe University of Utah 2 2 Universidad Autónoma de Baja California Universidad Autónoma de Baja California
3 3 San Diego State University, Imperial Valley San Diego State University, Imperial Valley
Axel Schönbucher: Essen-Duisburg
Axel Schönbucher: Essen-Duisburg
ObjectivesObjectives
• Determine the frequency and severity of short-term PM episodes in the Imperial/Mexicali Valley.
• Identify the significant organic species in PM10
samples.
• Determine if PM10 composition varies significantly during high-wind/high PM episodes as compared to low-wind/high PM episodes.
• Perform a preliminary attribution of PM10 to its major organic source contributions.
Axel Schönbucher: Essen-Duisburg
Study LocationsStudy Locations
Axel Schönbucher: Essen-Duisburg
Dichot Sampler: PM10 Quartz
Source Attribution of PM
Dichot Sampler: PM10 Teflon
Environmental Enclosure
Switch Switch
DusTrak
Sampling SetupSampling Setup
Axel Schönbucher: Essen-Duisburg
Filter #2 (Jan 17 - 18)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.816
:31
17:0
6
17:4
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18:1
5
18:5
0
19:2
4
19:5
9
20:3
3
21:0
8
21:4
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0:01
0:35
1:10
1:45
2:19
2:54
3:28
4:03
4:37
5:12
5:47
6:21
6:56
7:30
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8:40
9:14
9:49
10:2
3
10:5
8
11:3
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13:1
6
Time
PM
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mg/
m3)
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dspe
ed (
mph
)
PM Wind
Filter sample
PMPM1010 Hourly Example CalexicoHourly Example Calexico
DusTrack, and windspeed data from January 17-18 2006. DusTrack, and windspeed data from January 17-18 2006.
Axel Schönbucher: Essen-Duisburg
Summary of FiltersSummary of Filters
• A total of 31 sets of filters collected plus 4 blanks (25 used) from Winter 2006 and 5 filters from June 2004.
• Analyzed all filters for organics and selected filters for inorganics.
• All GC/MS chromatograms show similar chemistry.
• Winter filters - alkanes, alkanoic acids, PAHs, terpenoids, esters, benzaldehydes, and heteroaromatic compounds: butoxyethoxyethanol and quinoline.
Axel Schönbucher: Essen-Duisburg
Hourly average PM2.5 concentrations and windspeed during December, January, and
February (2004-2006), Ethel St. monitoring station, California Air Resources Board.
CARB PMCARB PM2.52.5 Hourly Winter DataHourly Winter Data
Axel Schönbucher: Essen-Duisburg
Hourly average PM2.5 concentrations and windspeed during June, July, and August (2004-2006), Ethel St. monitoring station, California Air Resources Board.
CARB PMCARB PM2.52.5 Hourly Summer DataHourly Summer Data
Axel Schönbucher: Essen-Duisburg
Count of hours during the winter (December, January, and February) and summer (June, July, and August) that exceed PM2.5 concentration of 35 μg/m3 from the California Air
Resources Board, Ethel St. monitoring station, Calexico, CA for the years 2004 - 2006.
• Low-wind/high PM episodes are relatively common during winter months.
• These episodes are responsible for a large portion of the daily PM mass and can involve PM10 concentrations that exceed 500 g/m3 and PM spikes of hundreds of
g/m3.
•The organic analyses of the filters show that all of the wintertime samples regardless of wind conditions tended have similar organic composition, suggesting that the PM episodes are due to meteorological phenomena.
•In both Calexico and Mexicali, vehicle emissions (41.1-62.1%), biomass burning (14.1-26.4%), trash burning (16.6-24.1%) and road dust emissions (12.3-14.4%) tended to be the predominant organic sources contributing to the ambient PM concentrations.
•PM contributions estimated by PMF and PCR were comparable.
•The summer samples indicated a larger contribution from agricultural burns and no contributions from the home-heating sources (wood burning and natural gas) than found in the winter samples.
Axel Schönbucher: Essen-Duisburg
This work was sponsored by the Southwest Consortium for Environmental Research and Policy (SCERP) through a cooperative agreement with the U.S. Environmental Protection Agency. SCERP can be contacted for further information through www.scerp.org and [email protected].
Thanks to Cristina Jaramillo, one of the co-authors, who helped with this presentation, performed the GC/MS analysis, and source attribution.