{"title":"个人 PM2.5 暴露实时监测系统及其在大学生中的应用","authors":"Wanning Yang, Bin Zhao","doi":"10.1007/s12273-024-1163-0","DOIUrl":null,"url":null,"abstract":"<p>There is a growing need in public health to conduct large-scale epidemiological studies to investigate the health effects of fine particulate matter (PM<sub>2.5</sub>) exposure levels. In response to this need, we developed a real-time personal PM<sub>2.5</sub> exposure monitoring system (PEPS: Personal Exposure PM<sub>2.5</sub> 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<sub>2.5</sub> exposure concentration at low cost, with minimal manpower and technical requirements. It has been utilized to investigate the personal exposure levels of PM<sub>2.5</sub> 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/m<sup>3</sup>, 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 (<i>p</i> < 0.001), and the correlation between exposure concentration and other certain factors was in the range of [−0.11, −0.03].</p>","PeriodicalId":49226,"journal":{"name":"Building Simulation","volume":"6 1","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A real-time personal PM2.5 exposure monitoring system and its application for college students\",\"authors\":\"Wanning Yang, Bin Zhao\",\"doi\":\"10.1007/s12273-024-1163-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>There is a growing need in public health to conduct large-scale epidemiological studies to investigate the health effects of fine particulate matter (PM<sub>2.5</sub>) exposure levels. In response to this need, we developed a real-time personal PM<sub>2.5</sub> exposure monitoring system (PEPS: Personal Exposure PM<sub>2.5</sub> 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<sub>2.5</sub> exposure concentration at low cost, with minimal manpower and technical requirements. It has been utilized to investigate the personal exposure levels of PM<sub>2.5</sub> 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/m<sup>3</sup>, 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 (<i>p</i> < 0.001), and the correlation between exposure concentration and other certain factors was in the range of [−0.11, −0.03].</p>\",\"PeriodicalId\":49226,\"journal\":{\"name\":\"Building Simulation\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Building Simulation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12273-024-1163-0\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Building Simulation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12273-024-1163-0","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
A real-time personal PM2.5 exposure monitoring system and its application for college students
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].
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.
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