Journal
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 56, Issue 12, Pages 8308-8318Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c07402
Keywords
air pollution; residential coal combustion; concentration curve; socioeconomic status (SES); household energy
Categories
Funding
- Canadian Institutes of Health Research (CIHR) [148697, 159477]
- United States Environmental Protection Agency (EPA) [R-82811201]
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The Chinese government implemented a household energy transition program in northern China, which replaced coal heating stoves with electricity-powered heat pumps. This study investigated personal air pollution exposures within and between villages, as well as the impact of sociodemographic factors. The results showed that variability in pollution exposures was greater within villages, and participants using traditional stoves had the highest levels of pollution. Wealthier households tended to burn more coal, while less wealthy households used more biomass.
The Chinese government implemented a national household energy transition program that replaced residential coal heating stoves with electricity-powered heat pumps for space heating in northern China. As part of a baseline assessment of the program, this study investigated variability in personal air pollution exposures within villages and between villages and evaluated exposure patterns by sociodemographic factors. We randomly recruited 446 participants in 50 villages in four districts in rural Beijing and measured 24 h personal exposures to fine particulate matter (PM2.5) and black carbon (BC). The geometric mean personal exposure to PM2.5 and BC was 72 and 2.5 mu g/m(3), respectively. The variability in PM2.5 and BC exposures was greater within villages than between villages. Study participants who used traditional stoves as their dominant source of space heating were exposed to the highest levels of PM2.5 and BC. Wealthier households tended to burn more coal for space heating, whereas less wealthy households used more biomass. PM2.5 and BC exposures were almost uniformly distributed by socioeconomic status. Future work that combines these results with PM2.5 chemical composition analysis will shed light on whether air pollution source contributors (e.g., industrial, traffic, and household solid fuel burning) follow similar distributions.
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