Quantifying the contribution of activity patterns to PM2.5 exposure inequity between urban and rural residents by a novel method

PM 2.5 pollution variations in different microenvironments would result in PM 2.5 exposure inequity between rural and urban residents. In this study, the real-time PM 2.5 exposure of urban and rural residents in China was examined based on portable PM 2.5 sensors together with activity patterns deri...

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Bibliographic Details
Published in:Building simulation 2024-08, Vol.17 (8), p.1323-1333
Main Authors: Du, Wei, Cui, Zhanpeng, Wang, Jinze, Wang, Yuqiong, Li, Yungui, Li, Xiaoan, Zhou, Yan, Jiang, Tao, Mao, Kang, Lin, Xianbiao, Shi, Jianwu, Gao, Dengzhou, Qin, Yiming
Format: Article
Language:English
Subjects:
Atmospheric Protection/Air Quality Control/Air Pollution
Building Construction and Design
Engineering
Engineering Thermodynamics
Exposure
Heat and Mass Transfer
Monitoring/Environmental Analysis
Real time
Research Article
Respiratory rate
Time measurement
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Summary:PM 2.5 pollution variations in different microenvironments would result in PM 2.5 exposure inequity between rural and urban residents. In this study, the real-time PM 2.5 exposure of urban and rural residents in China was examined based on portable PM 2.5 sensors together with activity patterns derived from questionnaire surveys, with a focus on students and senior citizens who are sensitive to air pollution. The results showed that PM 2.5 exposure varied significantly among different resident groups, with higher PM 2.5 exposure of rural residents than those of urban residents. PM 2.5 exposure peaks mostly occurred during (Accompanied) cooking activities owing to strong emissions. Sleeping and resting were the main activities that affected PM 2.5 exposures of different resident groups, accounting for 60.7%–94.5% of total daily exposures. Furthermore, the long duration of sleeping makes it the predominant activity contributing to PM 2.5 exposure inequity. It is necessary to obtain point-to-point respiratory volume (respiratory rate) data when measuring real-time PM 2.5 exposure data and incorporate respiratory volume (respiratory rate) into the analysis of PM 2.5 exposure. For the first time, this study quantified the PM 2.5 exposure inequality based on a novel method and can provide useful information for further studies on the exposure inequity.
ISSN:1996-3599
1996-8744
DOI:10.1007/s12273-024-1166-x