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


ABSTRACT: 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.

SUBMITTER: Hang Y 

PROVIDER: S-EPMC9418855 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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

Hang Yun Y   Meng Xia X   Li Tiantian T   Wang Tijian T   Cao Junji J   Fu Qingyan Q   Dey Sagnik S   Li Shenshen S   Huang Kan K   Liang Fengchao F   Kan Haidong H   Shi Xiaoming X   Liu Yang Y  

iScience 20220809 9


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 (NO<sub>3</sub> <sup>-</sup>) concentration remains high or even increases at monitoring sites despite the total PM<sub>2.5</sub> concentration has decreased. Unfortunately, it has been difficult to estimate NO<sub>3</sub> <sup>-</sup> concentration across China due to the lack of a PM<sub>2.5</sub> speciation  ...[more]

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