Regional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China

This study systematically investigated the pollution characteristics of atmospheric O3 and PM2.5, regional transport, and their health risks in three provincial capitals in northeast China during 2016–2020. The results show that O3...

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Autores principales:	Chunsheng Fang, Hanbo Gao, Zhuoqiong Li, Ju Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	PM<sub>2.5</sub> ozone cluster analysis health risk Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/71ee691a17a04a539a2e43d3e30a6352
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spelling	oai:doaj.org-article:71ee691a17a04a539a2e43d3e30a63522021-11-25T16:45:49ZRegional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China10.3390/atmos121115192073-4433https://doaj.org/article/71ee691a17a04a539a2e43d3e30a63522021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1519https://doaj.org/toc/2073-4433This study systematically investigated the pollution characteristics of atmospheric O<sub>3</sub> and PM<sub>2.5</sub>, regional transport, and their health risks in three provincial capitals in northeast China during 2016–2020. The results show that O<sub>3</sub> concentrations showed a trend of high summer and low winter, while PM<sub>2.5</sub> concentrations showed a trend of high winter and low summer during these five years. The results of the correlation analysis indicate that external sources contribute more O<sub>3</sub>, while PM<sub>2.5</sub> is more from local sources. The backward trajectory clustering analysis results showed that Changchun had the highest share of northwest trajectory with a five-year average value of 67.89%, and the city with the highest percentage of southwest trajectory was Shenyang with a five-year average value of 23.95%. The backward trajectory clustering analysis results showed that the share of the northwest trajectory decreased and the share of the southwest trajectory increased for all three cities in 2020 compared to 2016. The results of the potential source contribution function (PSCF) and concentration weighting trajectory (CWT) analysis showed that the main potential source areas and high concentration contribution areas for PM<sub>2.5</sub> in the northeast were concentrated in Mongolia, Inner Mongolia, Shandong Province, and the northeast, and for O<sub>3</sub> were mainly located in Shandong, Anhui, and Jiangsu Provinces, and the Yellow Sea and Bohai Sea. The non-carcinogenic risk of PM<sub>2.5</sub> in Harbin was high with a HQ of 2.04, while the other cities were at acceptable levels (HQ < 0.69) and the non-carcinogenic risk of O<sub>3</sub> was acceptable in all three cities (HQ < 0.22). However, PM<sub>2.5</sub> had a high carcinogenic risk (4 × 10<sup>−4</sup> < CR < 0.44) and further treatment is needed to reduce the risk.Chunsheng FangHanbo GaoZhuoqiong LiJu WangMDPI AGarticlePM<sub>2.5</sub>ozonecluster analysishealth riskMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1519, p 1519 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	PM<sub>2.5</sub> ozone cluster analysis health risk Meteorology. Climatology QC851-999
spellingShingle	PM<sub>2.5</sub> ozone cluster analysis health risk Meteorology. Climatology QC851-999 Chunsheng Fang Hanbo Gao Zhuoqiong Li Ju Wang Regional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China
description	This study systematically investigated the pollution characteristics of atmospheric O<sub>3</sub> and PM<sub>2.5</sub>, regional transport, and their health risks in three provincial capitals in northeast China during 2016–2020. The results show that O<sub>3</sub> concentrations showed a trend of high summer and low winter, while PM<sub>2.5</sub> concentrations showed a trend of high winter and low summer during these five years. The results of the correlation analysis indicate that external sources contribute more O<sub>3</sub>, while PM<sub>2.5</sub> is more from local sources. The backward trajectory clustering analysis results showed that Changchun had the highest share of northwest trajectory with a five-year average value of 67.89%, and the city with the highest percentage of southwest trajectory was Shenyang with a five-year average value of 23.95%. The backward trajectory clustering analysis results showed that the share of the northwest trajectory decreased and the share of the southwest trajectory increased for all three cities in 2020 compared to 2016. The results of the potential source contribution function (PSCF) and concentration weighting trajectory (CWT) analysis showed that the main potential source areas and high concentration contribution areas for PM<sub>2.5</sub> in the northeast were concentrated in Mongolia, Inner Mongolia, Shandong Province, and the northeast, and for O<sub>3</sub> were mainly located in Shandong, Anhui, and Jiangsu Provinces, and the Yellow Sea and Bohai Sea. The non-carcinogenic risk of PM<sub>2.5</sub> in Harbin was high with a HQ of 2.04, while the other cities were at acceptable levels (HQ < 0.69) and the non-carcinogenic risk of O<sub>3</sub> was acceptable in all three cities (HQ < 0.22). However, PM<sub>2.5</sub> had a high carcinogenic risk (4 × 10<sup>−4</sup> < CR < 0.44) and further treatment is needed to reduce the risk.
format	article
author	Chunsheng Fang Hanbo Gao Zhuoqiong Li Ju Wang
author_facet	Chunsheng Fang Hanbo Gao Zhuoqiong Li Ju Wang
author_sort	Chunsheng Fang
title	Regional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China
title_short	Regional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China
title_full	Regional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China
title_fullStr	Regional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China
title_full_unstemmed	Regional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China
title_sort	regional air pollutant characteristics and health risk assessment of large cities in northeast china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/71ee691a17a04a539a2e43d3e30a6352
work_keys_str_mv	AT chunshengfang regionalairpollutantcharacteristicsandhealthriskassessmentoflargecitiesinnortheastchina AT hanbogao regionalairpollutantcharacteristicsandhealthriskassessmentoflargecitiesinnortheastchina AT zhuoqiongli regionalairpollutantcharacteristicsandhealthriskassessmentoflargecitiesinnortheastchina AT juwang regionalairpollutantcharacteristicsandhealthriskassessmentoflargecitiesinnortheastchina
_version_	1718413025159938048

Regional Air Pollutant Characteristics and Health Risk Assessment of Large Cities in Northeast China

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