Multi-scenario PM2.5 distribution and dynamic exposure assessment of university community residents: Development and application of intelligent health risk management system integrated low-cost sensors

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作者
Ou, Changhong [1 ,2 ]
Li, Fei [1 ,2 ]
Zhang, Jingdong [1 ,2 ]
Jiang, Pei [1 ,2 ]
Li, Wei [1 ,2 ]
Kong, Shaojie [1 ,2 ]
Guo, Jinyuan [1 ,2 ]
Fan, Wenbo [1 ,2 ]
Zhao, Junrui [1 ,2 ]
机构
[1] Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan,430073, China
[2] School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan,430073, China
关键词
Air quality - Costs - Housing - Internet of things - Risk assessment - Risk management - Risk perception;
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摘要
Exposure scenario and receptor behavior significantly affect PM2.5 exposure quantity of persons and resident groups, which in turn influenced indoor or outdoor air quality & health management. An Internet of Things (IoT) system, EnvironMax+, was developed to accurately and conveniently assess residential dynamic PM2.5 exposure state. A university community QC, as the application area, was divided into four exposure scenarios and five groups of residents. Low-cost mobile sensors and indoor/outdoor pollution migration (IOP) models jointly estimated multi-scenario real-time PM2.5 concentrations. Questionnaire was used to investigate residents' indoor activity characteristics. Mobile application (app) Air health management (AHM) could automatic collect residents' activity trajectory. At last, multi-scenario daily exposure concentrations of each residents-group were obtained. The results showed that residential exposure scenario was the most important one, where residents spend about 60 % of their daily time. Closing window was the most significant behavior affecting indoor contamination. The annual average PM2.5 concentration in the studied scenarios: residential scenario (RS) 3. The multi-scenario population weighted annual average exposure concentration was 37.1 μg/m3, which was 78 % of the annual average outdoor concentration. The exposure concentration of 5 groups: cooks > outdoor workers > indoor workers > students > the elderly, related to their daily activity time proportion in different exposure scenario. © 2024 The Author(s)
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