Characterization of particulate emissions from occupant activities in offices
Characterization of particulate emissions from occupant activities in offices
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DOI：
10.1034/j.1600-0668.2001.011001035.x
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发表时间：
2001-03-01
期刊：
影响因子：
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通讯作者：
Batterman, SA
中科院分区：
文献类型：
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作者：
Luoma, M;Batterman, SA
本文描述了在一个无烟办公楼中，居住者活动与室内空气颗粒物水平之间的关系。乘客的活动被记录在视频中。通过三个光学微粒计数器（OPC）在三个高度的五个尺寸范围内监测微粒浓度。颗粒物质量浓度进行了测量重量和生物气溶胶浓度测定撞击方法。在1周的时间内，以1分钟的分辨率确定乘员活动和数量浓度。居住者的活动，如步行过去或访问的监测网站解释了24-55%的1- 25微米直径的颗粒数浓度的变化。与居住者活动的颗粒物浓度的统计模型依赖于尺寸分数，并包括一个自相关项。据估计，每个人的居住活动对颗粒物浓度的贡献高达10 mug m（-3）。小于1微米的颗粒数浓度与室内活动（吸烟除外）的相关性很小，与室外水平高度相关。如果能够进行快速测量，并且如果能够从录像中对活动进行编码，则该方法可用于确定活动排放的特征。
This paper characterizes the relationship between occupant activities and indoor air particulate levels in a non-smoking office building. Occupant activities were recorded on video. Particulate concentrations were monitored by three optical particle counters (OPCs) in five size ranges at three heights. Particulate mass concentrations were measured gravimetrically and bioaerosol concentrations were determined by impaction methods. Occupant activities and number concentrations were determined with 1-min resolution over a 1-week period. Occupant activities such as walking past or visiting the monitoring site explained 24-55% of the variation of 1- to 25-mum diameter particle number concentrations. Statistical models associating particulate concentrations with occupant activities depended on the size fraction and included an autocorrelative term. Occupant activities are estimated to contribute up to 10 mug m(-3) in particulate concentrations per person. Number concentrations of particles smaller than 1 mum had little correlation with indoor activities other than cigarette smoking and were highly correlated with outdoor levels. The method tan be used to characterize emissions from activities if rapid measurements can be made and if activities can be coded from the video record.