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Optimizing air purification for household particulate matters using sensor-based and time-based intervention strategies

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Particuology 2023年第8期79卷 78-84页

作者： Meng Wang Tianjun Lu Yang Li Department of Epidemiology and Environmental Health School of Public and Health ProfessionsUniversity at BuffaloBuffalo14214USA Department of Earth Science and Geography California State UniversityDominguez HillsCarson90747USA Department of Environmental Science Baylor UniversityWaco76798USA

Filtration efficiency of portable air cleaner(PAC)is affected by resident perceptions and adherences to when and how to operate the *** PAC with smart control and sensor technology holds the promise to effectively reduce indoor air *** study aims to evaluate the efficiency of a PAC at removing indoor fine particulate matters(PM_(2.5))exposure under two automated operation settings:(1)a time-based mode in which the operation time is determined based on perceived time periods of indoor pollution by residents;(2)a sensor-based mode in which an air sensor monitor is used to determine the PAC based on the actual PM_(2.5) level against the indoor air quality *** study was conducted in a residential room for 55 days with a rolling setting on PAC(no filtration,sensor-based,time-based fil-trations)and a continuous measurement of PM_(2.5).We found that the PAC operated with sensor-based mode removed PM_(2.5) concentrations by 47%and prolonged clean air(<35 μg/m^(3))period by 23%compared to the purifications with time-based mode which reduced PM_(2.5) by 29%and increased clean air period by 13%.The sensor-based filtration identified indoor pollution episodes that are hardly detected by personal *** study findings support an automated sensor-based approach to optimize the use of PAC for effectively reducing indoor PM_(2.5) exposure.

关键词： aircleaner Particulate matter Sensor-based filtration Time-based filtration Indoor pollution

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