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Research Article

A real-time personal PM2.5 exposure monitoring system and its application for college students

Wanning Yang1, Bin Zhao1,2( )
Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing 100084, China
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Abstract

There is a growing need in public health to conduct large-scale epidemiological studies to investigate the health effects of fine particulate matter (PM2.5) exposure levels. In response to this need, we developed a real-time personal PM2.5 exposure monitoring system (PEPS: Personal Exposure PM2.5 System), which is capable of monitoring personal exposure concentration and uploading data in real time. The air quality self-labelling device, specifically customized for the PEPS, can be worn on the body and features functions for real-time data automatic upload, data storage, data export, and localization. This system enables researchers to obtain the big data of personal PM2.5 exposure concentration at low cost, with minimal manpower and technical requirements. It has been utilized to investigate the personal exposure levels of PM2.5 among college students in Beijing, China, providing a substantial volume of valuable data for indoor air quality and related epidemiological study. The maximum difference between the monitored daily average exposure concentration and the outdoor concentration was 265 μg/m3, corresponding to a relative error of 1579.5%. The correlation analysis of 11 factors showed that the correlation between exposure concentration and outdoor concentration was as high as 0.66 (p < 0.001), and the correlation between exposure concentration and other certain factors was in the range of [−0.11, −0.03].

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Building Simulation
Pages 1531-1539

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Cite this article:
Yang W, Zhao B. A real-time personal PM2.5 exposure monitoring system and its application for college students. Building Simulation, 2024, 17(9): 1531-1539. https://doi.org/10.1007/s12273-024-1163-0

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Received: 12 May 2024
Revised: 28 June 2024
Accepted: 09 July 2024
Published: 23 July 2024
© Tsinghua University Press 2024