Source apportionment of PM2.5 oxidative potential in an East Mediterranean site

被引:7
作者
Fadel, Marc [1 ,2 ]
Courcot, Dominique [2 ]
Delmaire, Gilles [3 ]
Roussel, Gilles [3 ]
Afif, Charbel [1 ,4 ]
Ledoux, Frederic [2 ]
机构
[1] St Joseph Univ, Fac Sci, Emiss Measurements & Modeling Atmosphere EMMA Lab, CAR, Beirut, Lebanon
[2] Univ Littoral Cote Opale ULCO, Unite Chim Environm & Interact Vivant, UCEIV UR4492, Dunkerque, France
[3] Univ Littoral Cote dOpale, Lab Informat Signal & Image Cote Opale LISIC, F-62228 Calais, France
[4] Cyprus Inst, Climate & Atmosphere Res Ctr, Nicosia, Cyprus
关键词
xPM oxidative potential; Source apportionment; Multiple linear regression; Correlation analysis with chemical composition; Seasonal variations; ATMOSPHERIC PARTICULATE MATTER; WATER-SOLUBLE PM2.5; AIR-POLLUTION; CHEMICAL-COMPOSITION; DITHIOTHREITOL; URBAN; ASSOCIATION; PARTICLES; CONTRASTS; AEROSOLS;
D O I
10.1016/j.scitotenv.2023.165843
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study aimed to evaluate the oxidative potential (OP) of PM(2.)5 collected for almost a year in an urban area of the East Mediterranean. Two acellular assays, based on ascorbic acid (AA) and dithiothreitol (DTT) depletion, were used to measure the OP. The results showed that the mean volume normalized OP-AAv value was 0.64 +/- 0.29 nmol center dot min(-1)center dot m(-3) and the mean OP-DTTv was 0.49 +/- 0.26 nmol center dot min(-1)center dot m(-3). Several approaches were adopted in this work to study the relationship between the species in PM2.5 (carbonaceous matter, water-soluble ions, major and trace elements, and organic compounds) or their sources and OP values. Spearman correlations revealed strong correlations of OP-AAv with carbonaceous subfractions as well as organic compounds while OPDTTv seemed to be more correlated with elements emitted from different anthropogenic activities. Furthermore, a multiple linear regression method was used to estimate the contribution of PM2.5 sources, determined by a source-receptor model (Positive Matrix Factorization), to the OP values. The results showed that the sources that highly contribute to the PM2.5 mass (crustal dust and ammonium sulfate) were not the major sources contributing to the values of OP. Instead, 69 % of OP-AAv and 62 % of OP-DTTv values were explained by three local anthropogenic sources: Heavy Fuel Oil (HFO) combustion from a power plant, biomass burning, and road traffic emissions. As for the seasonal variations, higher OP-AAv values were observed during winter compared to summer, while OP-DTTv did not show any significant differences between the two seasons. The contribution of biomass burning during winter was 33 and 34 times higher compared to summer for OP-AA(v) and OP-DTTv, respectively. On the other hand, higher contributions were observed for HFO combustion during summer.
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页数:11
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