The effect of outdoor air and indoor human activity on mass concentrations of PM10, PM2.5, and PM1 in a classroom
The effect of outdoor air and indoor human activity on mass concentrations of PM10, PM2.5, and PM1 in a classroom
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DOI：
10.1016/j.envres.2004.12.001
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发表时间：
2005-10-01
影响因子：
8.3
通讯作者：
Domasová, M
中科院分区：
文献类型：
--
作者：
Branis, M;Rezácová, P;Domasová, M
利用三个位于同一位置的哈佛撞击器在教室内测量了PM10、PM2.5和PM 1的12 h质量浓度。过滤器在上午8点和下午8点更换，以覆盖学生在场和缺席的时间段。通过重量分析法评估浓度。环境PM10数据可从最近的国家空气质量监测网络站获得相应的12小时间隔。根据学生的存在和不存在，将数据汇总为4个时段-周一-周四白天（工作日白天）、周一-周四晚上（工作日晚上）、周五-周日白天（周末白天）和3个周五-周日晚上（周末晚上）。对于PM10、PM2.5、PM2.6、PM2.8、PM2.9、PM 1，分别。最高的12小时平均值，中位数和最大值（42.3，43.0和76.2 μ g m（-3），分别）室内浓度记录在工作日在白天的PM10。工作日白天每小时学生人数与室内粗颗粒物浓度（PM10-2.5）呈显著相关（r = 0.68，P < 0.0009），说明人的存在是室内粗颗粒物的重要来源。在工作日，白天PM10室内外比呈正相关（r = 0.93）与室内粗颗粒物（PM10-2.5）的增加，也表明室内PM10的一个重要部分有其来源的教室内。除计算出的粗颗粒物（PM10-2.5）外，所有测得的室内颗粒物分数与室外PM10显著高度相关，与风速呈负相关，表明室外颗粒物水平影响其室内浓度。(c)2004年爱思唯尔公司All rights reserved.
The 12-h mass concentration of PM10, PM2.5, and PM1 was measured in a lecturing room by means of three co-located Harvard impactors. The filters were changed at 8 AM and at 8 PM to cover the periods of presence and absence of students. Concentrations were assessed by gravimetry. Ambient PM10 data were available for corresponding 12-h intervals from the nearest state air-quality-monitoring network station. The data were pooled into four periods according to the presence and absence of students-Monday-Thursday day (workday daytime), Monday-Thursday night (workday night), Friday-Sunday day (weekend daytime), and 3 Friday-Sunday night (weekend night). Average indoor workday daytime concentrations were 42.3, 21.9 and 13.7 mu g m(3), workday night were 20.9, 19.1 and 15.2 mu g m(-3), weekend daytime were 21.9, 18.1 and 11.4 mu g m(-3), and weekend night were 24.5, 21.3, and 15.6 mu g m-3 for PM10, PM2.5, and PM1, respectively. The highest 12-h mean, median, and maximum (42.3, 43.0, and 76.2 mu g m(-3), respectively) indoor concentrations were recorded on workdays during the daytime for PM10. The statistically significant (r = 0.68, P < 0.0009) correlation between the number Of Students per hour per day and the indoor coarse fraction calculated as PM10-2.5 during daytime on workdays indicates that the presence of people is an important source of coarse particles indoor. On workdays, the daytime PM10 indoor/outdoor ratio was positively associated (r = 0.93) with an increasing indoor coarse fraction (PM10-2.5), also indicating that an important portion of indoor PM10 had its source inside the classroom. With the exception of the calculated coarse fraction (PM10-2.5), all of the measured indoor particulate matter fractions were significantly highly correlated with outdoor PM10 and negatively correlated with wind velocity, showing that outdoor levels of particles influence their indoor concentrations. (c) 2004 Elsevier Inc. All rights reserved.