News Release

Air pollution data in 5 Chinese cities differs for local VS US monitoring stations

When air quality in China is poor, locally-reported air pollution measurements diverge from US embassy-reported measurements more than would be expected by random chance

Peer-Reviewed Publication

PLOS

Air pollution data in 5 Chinese cities differs for local VS U.S. monitoring stations

image: Good VS bad air quality day at the same location in Beijing view more 

Credit: Edward Cunningham

A new analysis of air pollution data from five large Chinese cities has found statistically significant differences between data from monitoring stations run by local governments and data from stations run by U.S. embassies and consulates. Jesse Turiel of the Harvard University John F. Kennedy School of Government and Robert Kaufmann of Boston University present these findings in the open-access journal PLOS ONE on April 21, 2021.

China has experienced poor air quality for several decades, and air pollution has been linked to significant increases in mortality and significant reductions of GDP for the country. In response, the Chinese central government has set targets for local environmental performance. Air quality data are collected at local monitoring stations, and local officials report them to the central government. Meanwhile, in some Chinese cities, U.S. embassies and consulates run their own monitoring stations.

For the new study, the researchers analyzed and compared measurements reported by local- and U.S. embassy-controlled monitoring stations in five large Chinese cities. These data, which covered a period from January 2015 to June 2017, consisted of hourly measurements of air concentration of fine particles known as PM2.5--a standard indicator of air quality.

The researchers identified hours in which data from local temporarily diverged from U.S. stations in a statistically significant manner. They found that these divergences occurred more often and were greater than one would expect by random chance. Hourly divergences were also more likely when air quality was particularly poor. Together, the results suggest that, when air pollution is high, local stations systematically report lower PM2.5 levels than reported by U.S. stations.

The authors note that these findings add to existing concerns about underreporting of air pollution by some local officials in China. In fact, they say, the general public and other observers are often skeptical of local data because some officials might have an incentive to underreport in order to avoid professional repercussions.

Still, the researchers emphasize the usefulness of local air pollution data in China and note that their study does not invalidate other findings that the country's air quality has improved in recent years.

The authors add: "Our work finds evidence of systemic local government underreporting of air pollution levels in four out of five tested Chinese cities. This suggests that, between 2015 and 2017, some local governments in China misreported air quality data disclosed to the country's central environmental ministry, particularly on high-pollution days."

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Citation: Turiel JS, Kaufmann RK (2021) Evidence of air quality data misreporting in China: An impulse indicator saturation model comparison of local government-reported and U.S. embassy-reported PM2.5 concentrations (2015-2017). PLoS ONE 16(4): e0249063. https://doi.org/10.1371/journal.pone.0249063

Funding: The authors received no specific funding for this work.

Competing Interests: The authors have declared that no competing interests exist.

In your coverage please use this URL to provide access to the freely available article in PLOS ONE: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0249063


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