Source apportionment of PM2.5 organic carbon in the San Joaquin Valley using monthly and daily observations and meteorological clustering

被引:19
|
作者
Skiles, Matthew J. [1 ]
Lai, Alexandra M. [1 ]
Olson, Michael R. [1 ]
Schauer, James J. [1 ,2 ]
de Foy, Benjamin [3 ]
机构
[1] Univ Wisconsin, Environm Chem & Technol Program, 660 N Pk St, Madison, WI 53706 USA
[2] Wisconsin State Lab Hyg, Madison, WI USA
[3] St Louis Univ, St Louis, MO 63103 USA
关键词
cmb; San joaquin valley; Organic molecular markers; Meat smoke; Meteorological cluster analysis; AIRBORNE PARTICULATE MATTER; HETEROGENEOUS OXIDATION; LABORATORY MEASUREMENTS; MOLECULAR MAKERS; FINE; EMISSIONS; AEROSOL; URBAN; MODEL; PHASE;
D O I
10.1016/j.envpol.2018.02.055
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Two hundred sixty-three fine particulate matter (PM2.5) samples collected on 3-day intervals over a 14 month period at two sites in the San Joaquin Valley (SJV) were analyzed for organic carbon (OC), elemental carbon (EC), water soluble organic carbon (WSOC), and organic molecular markers. A unique source profile library was applied to a chemical mass balance (CMB) source apportionment model to develop monthly and seasonally averaged source apportionment results. Five major OC sources were identified: mobile sources, biomass burning, meat smoke, vegetative detritus, and secondary organic carbon (SOC), as inferred from OC not apportioned by CMB. The SOC factor was the largest source contributor at Fresno and Bakersfield, contributing 44% and 51% of PM mass, respectively. Biomass burning was the only source with a statistically different average mass contribution (95% CI) between the two sites. Wintertime peaks of biomass burning, meat smoke, and total OC were observed at both sites, with SOC peaking during the summer months. Exceptionally strong seasonal variation in apportioned meat smoke mass could potentially be explained by oxidation of cholesterol between source and receptor and trends in wind transport outlined in a Residence Time Analysis (RTA). Fast moving nighttime winds prevalent during warmer months caused local emissions to be replaced by air mass transported from the San Francisco Bay Area, consisting of mostly diluted, oxidized concentrations of molecular markers. Good agreement was observed between SOC derived from the CMB model and from non biomass burning WSOC mass, suggesting the CMB model is sufficiently accurate to assist in policy development. In general, uncertainty in monthly mass values derived from daily CMB apportionments were lower than that of CMB results produced with monthly marker composites, further validating daily sampling methodologies. Strong seasonal trends were observed for biomass and meat smoke OC apportionment, and monthly mass averages had lowest uncertainty when derived from daily CMB apportionments. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:366 / 376
页数:11
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