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

IF 6.1 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Building Simulation Pub Date : 2024-07-23 DOI:10.1007/s12273-024-1163-0

Wanning Yang, Bin Zhao

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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 (PM_2.5) exposure levels. In response to this need, we developed a real-time personal PM_2.5 exposure monitoring system (PEPS: Personal Exposure PM_2.5 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 PM_2.5 exposure concentration at low cost, with minimal manpower and technical requirements. It has been utilized to investigate the personal exposure levels of PM_2.5 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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个人 PM2.5 暴露实时监测系统及其在大学生中的应用

公共卫生领域越来越需要开展大规模流行病学研究，以调查细颗粒物（PM2.5）暴露水平对健康的影响。针对这一需求，我们开发了个人 PM2.5 暴露实时监测系统（PEPS：Personal Exposure PM2.5 System），该系统能够监测个人暴露浓度并实时上传数据。为 PEPS 专门定制的空气质量自我标签装置可佩戴在身上，具有实时数据自动上传、数据存储、数据导出和定位功能。该系统使研究人员能够以较低的成本、最少的人力和技术要求获得个人 PM2.5 暴露浓度的大数据。该系统已用于调查中国北京大学生的 PM2.5 个人暴露水平，为室内空气质量和相关流行病学研究提供了大量宝贵数据。监测到的日平均暴露浓度与室外浓度的最大差值为 265 µg/m3，相对误差为 1579.5%。11 个因子的相关性分析表明，暴露浓度与室外浓度的相关性高达 0.66（p < 0.001），暴露浓度与其他某些因子的相关性在[-0.11, -0.03]之间。

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来源期刊

Building Simulation THERMODYNAMICS-CONSTRUCTION & BUILDING TECHNOLOGY

CiteScore

10.20

自引率

16.40%

发文量

审稿时长

>12 weeks

期刊介绍： Building Simulation: An International Journal publishes original, high quality, peer-reviewed research papers and review articles dealing with modeling and simulation of buildings including their systems. The goal is to promote the field of building science and technology to such a level that modeling will eventually be used in every aspect of building construction as a routine instead of an exception. Of particular interest are papers that reflect recent developments and applications of modeling tools and their impact on advances of building science and technology.