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Method Suggestion of Predicting the Exposure to Residential Indoor Air Pollutants Using Time-Activity Patterns and Outdoor Air

机译:利用时间-活动模式和室外空气预测室内空气污染物暴露的方法建议

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Most people may be affected by indoor air quality at home since it is where they spend most of their time. Although air pollutants (APs) concentrations such as particulate matter, SO2, NO2, CO, and O3 is provided through ambient fixed monitoring system, it could be different from actual exposure concentrations because it has limitations such as distance and staying in indoor environments. The purposes of this study were to predict the concentrations of Indoor APs (lAPs) and to assess exposures at home considering indoor sources and house residential time of people by analyzing time-activity patterns including questionnaire. To estimate lAPs concentrations, we applied the concentration of outdoor air pollutants by measurements or atmospheric modelling, and indoor air quality model to PM, NO2, CO concentrations with indoor sources, and Indoor/Outdoor ratio acquired from previous studies, and to SO2 and O3 concentrations without indoor sources. The concentrations of APs were acquired from ambient fixed monitoring system. And the concentrations of lAPs were measured in houses with sensor instruments of particulate matter by adjusting gravimetric method, and exposure to lAPs were estimated. Residential time at home was more than about 90% their times. Results of measurements of sensor indicate increased concentrations of lAPs with indoor sources from cooking, cleaning and smoking than usual (no behavior) and concentrations of lAPs with indoor sources increase as number of the behavior increase. Sub-populations such as the old and housewives might be more likely to be affected by house indoor air because they spend most of their time at home. We predicted the concentrations of lAPs and assessed exposures at home to lAPs by modelling and analyzing time-activity patterns including questionnaire. These results will be expected to provide basis for preparing guidelines for prevention of diseases caused by house lAPs
机译:大多数人可能会在家里度过大部分时光,因此他们可能会在家中受到室内空气质量的影响。尽管通过环境固定监测系统提供了诸如颗粒物,SO2,NO2,CO和O3之类的空气污染物(APs)浓度,但由于它具有距离和在室内环境中的局限性,因此可能与实际暴露浓度有所不同。这项研究的目的是通过分析包括问卷调查在内的时间活动模式来预测室内AP的浓度,并考虑室内来源和人们的房屋居住时间来评估在家中的暴露水平。为了估计lAPs的浓度,我们通过测量或大气建模将室内空气污染物的浓度以及室内空气质量模型应用于从先前研究中获得的PM,NO2,CO的室内浓度,室内/室外比以及SO2和O3没有室内源的浓度。从环境固定监测系统获取AP的浓度。通过调整重量法,用颗粒物传感器仪器测量房屋中lAPs的浓度,并估算lAPs的暴露量。在家中的居住时间大约是他们时间的90%。传感器的测量结果表明,通过烹饪,清洁和吸烟从室内获取的lAPs的浓度比平时增加(无行为),并且随着行为数量的增加,来自室内的lAPs的浓度也随之增加。诸如老年人和家庭主妇之类的亚人群可能更容易受到室内室内空气的影响,因为他们大部分时间都在家里度过。我们通过建模和分析包括问卷在内的时间活动模式,预测了lAPs的浓度并评估了lAPs在家里的暴露程度。预期这些结果将为编写预防由家庭LAP引起的疾病的指南提供基础

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