气候变化领域集成服务门户(CCPortal): Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis

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DOI	10.1016/j.atmosenv.2021.118807
	Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis
	Tohidi R.; Altuwayjiri A.; Pirhadi M.; Sioutas C.
发表日期	2022
ISSN	1352-2310
卷号	268
英文摘要	The main objective of this study was to explore the correlations between carbonaceous PM2.5 species (i.e., primary and secondary organic aerosols (POAs and SOAs) and elemental carbon (EC)) with various criteria gaseous pollutants over the 2015–2019 period in order to devise a simple way of estimating the 24-hr concentration of these PM species in central Los Angeles. The Positive Matrix Factorization (PMF) model was used to determine the contribution of various sources to organic carbon (OC) and its volatility fractions (OC1-OC3) in the atmosphere in years of 2015, 2017, and 2019. A 5-factor solution that includes vehicular exhaust emissions (traced by EC and OC1), non-tailpipe emissions (characterized by Ti, Cu, and Zn), SOAs (identified by sulfate and ozone), biomass burning (associated with high loadings of K+/K), and local industrial activities (traced by Cr) was identified as the most physically interpretable solution for each of the investigated years. The SOA concentrations determined using the PMF model output and the POA concentrations, calculated by subtracting the SOA concentrations from the total OC mass, were employed in our regression analysis with criteria gaseous pollutants, the concentrations of which are routinely reported by the air quality agencies. The result of the regression analysis revealed high correlation between the concentrations of SOA and ozone (R2 > 0.74) in different years, probably because they are originated from synchronized photochemical reactions in the atmosphere. The SOA/O3 ratios were between ∼47-56 μg/m3/ppm in the time period of 2015–2019. A strong correlation between POA and CO was also observed (R2 > 0.70); the POA/CO ratios decreased from about 6.5 to 5 μg/m3/ppm from 2015 to 2019, which is consistent with the trend of tailpipe emission contributions to total OC concentrations in our monitoring site. EC was also strongly correlated with NO2 (R2 > 0.73) and CO (R2 > 0.70) because they are emitted from the same combustion sources (e.g., vehicular emissions in central Los Angeles). Our results show persistent and significant correlations between the concentrations of criteria gaseous pollutants and carbonaceous PM2.5 species (i.e., POA, SOA, and EC) in different years, offering a straightforward approach to estimate the 24-h average concentration of these PM species in central Los Angeles. © 2021 Elsevier Ltd
关键词	Carbonaceous PM Species Criteria gaseous pollutants Positive matrix factorization (PMF)Primary and secondary organic aerosol (POA Regression analysis SOA)
语种	英语
scopus关键词	Aerosols; Air quality; Factorization; Fog; Matrix algebra; Organic carbon; Ozone; Photochemical reactions; Quality control; Sulfur compounds; Zinc compounds; Carbonaceous PM species; Criteria gaseous pollutant; Elemental carbon; Gaseous pollutants; Los angeles; Organic aerosol; Positive matrix factorization; Primary and secondary organic aerosol (POA; SOA); Regression analysis; carbon; chromium; copper; cuprous ion; nitrogen dioxide; organic carbon; ozone; sulfuric acid; toxic gas; trace element; zinc; zinc ion; aerosol; air quality; biomass burning; combustion; elemental carbon; integrated approach; organic carbon; pollutant; regression analysis; source apportionment; sulfate; air pollutant; air quality; air quality control; ambient air; analytic method; Article; biomass; biomass conversion; burn; California; combustion; controlled study; coupling factor; government; industrial area; particulate matter 2.5; quantitative analysis; regulatory mechanism; secondary organic aerosol; target variable; total organic carbon; California; Los Angeles [California]; United States
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248159
作者单位	University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, United States
推荐引用方式 GB/T 7714	Tohidi R.,Altuwayjiri A.,Pirhadi M.,et al. Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis[J],2022,268.
APA	Tohidi R.,Altuwayjiri A.,Pirhadi M.,&Sioutas C..(2022).Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis.ATMOSPHERIC ENVIRONMENT,268.
MLA	Tohidi R.,et al."Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis".ATMOSPHERIC ENVIRONMENT 268(2022).