Contributions of local pollution emissions to particle bioreactivity in downwind cities in China during Asian dust periods
Journal
Environmental Pollution
Journal Volume
245
Pages
675-683
Date Issued
2019
Author(s)
Ho, K.-F.
Wu, K.-C.
Niu, X.
Wu, Y.
Zhu, C.-S.
Wu, F.
Cao, J.-J.
Shen, Z.-X.
Hsiao, T.-C.
Chuang, K.-J.
Chuang, H.-C.
Abstract
This study investigated the effects of pollution emissions on the bioreactivity of PM2.5 during Asian dust periods. PM2.5 during the sampling period were 104.2 and 85.7 μg m−3 in Xi'an and Beijing, respectively, whereas PM2.5 which originated from the Tengger Desert was collected (dust background). Pollution conditions were classified as non-dust days, pollution episode (PE), dust storm (DS)-1, and DS-2 periods. We observed a significant decrease in cell viability and an increase in LDH that occurred in A549 cells after exposure to PM2.5 during a PE and DS-1 in Xi'an and Beijing compared to Tengger Desert PM2.5. Positive matrix factorization was used to identify pollution emission sources. PM2.5 from biomass and industrial sources contributed to alterations in cell viability and LDH in Xi'an, whereas vehicle emissions contributed to LDH in Beijing. OC, EC, Cl−, K+, Mg2+, Ca, Ti, Mn, Fe, Zn, and Pb were correlated with cell viability and LDH for industrial emissions in Xi'an during DS. OC, EC, SO42−, S, Ti, Mn, and Fe were correlated with LDH for vehicle emissions in Beijing during DS. In conclusion, the dust may carry pollutants on its surface to downwind areas, leading to increased risks of particle toxicity. © 2018 Elsevier LtdThe significance and novelty of this study was that sand dust may provide a platform to intermix with chemicals on its surfaces, thereby increasing the bioreactivity of PM2.5 during dust storm episodes. © 2018 Elsevier Ltd
Subjects
Air pollution; Dust storm; Metal; Physicochemistry; Source apportionment
Other Subjects
Cells; Cytology; Dust; Factorization; Industrial emissions; Metals; Storms; Dust storm; Industrial sources; Local pollutions; Physicochemistry; Pollution emissions; Pollution episodes; Positive Matrix Factorization; Source apportionment; Air pollution; calcium; carbon; chloride; iron; lactate dehydrogenase; lead; magnesium ion; manganese; nitric oxide; organic carbon; potassium; sulfoxide; sulfur; titanium; zinc; anthropogenic source; atmospheric pollution; dust storm; emission inventory; metal; physicochemical property; pollution exposure; pollution monitoring; quantitative analysis; source apportionment; A-549 cell line; air pollution; Article; biological activity; biomass; carbon footprint; cell viability; chemical analysis; chemical composition; chemical reaction; China; controlled study; correlational study; dust exposure; elemental analysis; environmental exposure; exhaust gas; human; human cell; in vitro study; industrial waste; particulate matter; physical chemistry; pollutant; pollution monitoring; risk assessment; toxicity; air pollutant; analysis; chemistry; city; dust; environmental monitoring; particle size; pollution; Beijing [Beijing (ADS)]; Beijing [China]; China; Shaanxi; Xian; A549 Cells; Air Pollutants; Beijing; China; Cities; Dust; Environmental Monitoring; Environmental Pollution; Humans; Particle Size; Particulate Matter
Type
journal article