Researchers used data from the China National Environmental Monitoring Center (CNEMC) discover that PM 2.5 may have been overestimated in winter while ozone is significantly underestimated.
For the first time, researchers have compared air pollution in urban and suburban areas across all of China. Results of their study were published in the peer-reviewed journalAdvances in Atmospheric Sciences.
"Since the urban region accounts for only two percent of the whole country's area, the urban-dominant air quality data from the CNEMC network may overestimate winter PM2.5 but underestimate winter ozone over the vast domain of China,” said paper author Yue Xu, Professor at Nanjing University of Information Science & Technology. “The study suggests that the CNEMC monitoring data should be used with caution for evaluating chemical models and assessing ecosystem health, which require more data outside urban areas.”
Both PM2.5 and ozone are respiratory hazards and can be detrimental to human and animal health, as well as ecosystems.
“The differences between urban and non-urban areas, such as the intensity of human and plant activities, can lead to differences of ozone and PM2.5 concentrations between land types,” said Professor Yue. “Our study tries to answer the question: How different is the air pollution between urban and non-urban areas in China?”
The researchers examined air quality data from 1,171 urban and 110 suburban sites built by the CNEMC during an observational period from 2015 to 2018. “The pattern whereby the non-urban ozone concentrations and the urban PM2.5 level are higher dominating across time and space. Such contrast is significant in winter but insignificant in summer.” Said Professor Yue
Since most of the data is available from urban sites, it does not likely apply uniformly across the rest of the country, according to Professor Yue. This can be problematic when it comes to designing efforts to improve pollution and conserve plant life in suburban or rural areas.
“We suggest that more nonurban sites are necessary to build for better representation of air pollution level over the vast domain in China,” added Professor Yue. Ultimately, the researchers plan to improve their analysis model to achieve the most accurate estimation of air pollution impacts on ecosystem functions in China.