AI Article Synopsis
- Air pollution in China is a big problem, and the government is trying to improve air quality with strict rules.
- Even though overall pollution has gone down, a specific type of pollution called particulate nitrate (NO) is still high or getting worse.
- Researchers used a special computer model to study NO pollution and found that traffic is making it worse, and many people are suffering from health problems because of it.
Article 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 (NO ) concentration remains high or even increases at monitoring sites despite the total PM concentration has decreased. Unfortunately, it has been difficult to estimate NO concentration across China due to the lack of a PM speciation monitoring network. Here, we use a machine learning model incorporating ground measurements and satellite data to characterize the spatiotemporal patterns of NO , thereby understanding the disease burden associated with long-term NO exposure in China. Our results show that existing air pollution control policies are effective, but increased NO of traffic emissions offset reduced NO of industrial emissions. In 2018, the national mean mortality burden attributable to NO was as high as 0.68 million, indicating that targeted regulations are needed to control NO pollution in China.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418855 | PMC |
| http://dx.doi.org/10.1016/j.isci.2022.104899 | DOI Listing |
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