Spatiotemporal variations and risk assessment of ambient air O 3 , PM 10 and PM 2.5 in a coastal city of China.

Autor: Wang L; Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, No.8 Jiangwangmiao Street, Nanjing, 210042, China.; Nanjing University & Yancheng Academy of Environmental Protection Technology and Engineering, Yancheng, 224000, China., Xing L; Nanjing University & Yancheng Academy of Environmental Protection Technology and Engineering, Yancheng, 224000, China. xingliqun1821@126.com.; State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China. xingliqun1821@126.com., Wu X; School of Chemical and Environmental Engineering, Yancheng Teachers University, Yancheng, 224002, China., Sun J; Suzhou Capital Greinworth Environmental Protection Technology Co., Ltd, Suzhou, 215216, China., Kong M; Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, No.8 Jiangwangmiao Street, Nanjing, 210042, China. kongming@nies.org.
Jazyk: angličtina
Zdroj: Ecotoxicology (London, England) [Ecotoxicology] 2021 Sep; Vol. 30 (7), pp. 1333-1342. Date of Electronic Publication: 2020 Nov 01.
DOI: 10.1007/s10646-020-02295-0
Abstrakt: Rapid industrialization and urbanization has created significant air pollution problems that have recently begin to impact the lives and health of human beings in China. This study systematically investigated the spatiotemporal variations and the associated health risks of ambient O 3 , PM 10 and PM 2.5 between 2016 and 2019. The relationships between the target air pollutants and meteorological conditions were further analyzed using the Spearman rank correlation coefficient method. The results demonstrated that the annual mean concentrations of PM 10 and PM 2.5 experienced a decreasing trend overall, and PM 2.5 significantly decreased from 1.54 μg/m 3 in 2016 to 1.48 μg/m 3 in 2019. In contrast, the annual mean concentrations of O 3 were nearly constant during the study period with a slight increasing trend. The pollutants exhibited different seasonal variations and cyclical diurnal variations. The most highest O 3 pollution was seen in spring and summer, while spring and winter were the seasons with the most PM 10 and PM 2.5 pollution. The highest concentrations of O 3 appeared in periods of strong solar radiation intensity and photochemical reactions. The highest concentrations of PM 10 and PM 2.5 appeared at commuting time. The pollutant concentrations were significantly affected by meteorological conditions. Finally, the non-carcinogenic risks from exposure to O 3 , PM 10 and PM 2.5 were at an acceptable level (HI < 0.96) and O 3 accounted for ~50% of the total non-carcinogenic risks. However, PM 2.5 posed highly carcinogenic risks (2.5 × 10 -4  < CR < 1.6 × 10 -1 ) and O 3 exposure showed high potential ecological impacts on vegetation (AOT40: 23.3 ppm-h; W126: 29.0 ppm-h).
(© 2020. Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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