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Assessment of long-term particulate nitrate air pollution and its health risk in China

Authors :
Yun Hang
Xia Meng
Tiantian Li
Tijian Wang
Junji Cao
Qingyan Fu
Sagnik Dey
Shenshen Li
Kan Huang
Fengchao Liang
Haidong Kan
Xiaoming Shi
Yang Liu
Source :
iScience, Vol 25, Iss 9, Pp 104899- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Summary: Air pollution is a major environmental and public health challenge in China and the Chinese government has implemented a series of strict air quality policies. However, particulate nitrate (NO3−) concentration remains high or even increases at monitoring sites despite the total PM2.5 concentration has decreased. Unfortunately, it has been difficult to estimate NO3− concentration across China due to the lack of a PM2.5 speciation monitoring network. Here, we use a machine learning model incorporating ground measurements and satellite data to characterize the spatiotemporal patterns of NO3−, thereby understanding the disease burden associated with long-term NO3− exposure in China. Our results show that existing air pollution control policies are effective, but increased NO3− of traffic emissions offset reduced NO3− of industrial emissions. In 2018, the national mean mortality burden attributable to NO3− was as high as 0.68 million, indicating that targeted regulations are needed to control NO3− pollution in China.

Details

Language :
English
ISSN :
25890042
Volume :
25
Issue :
9
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.83f140b700b6496493b6f447c861bf8d
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2022.104899