Passive sampling to capture spatial variability in PM10-2.5
Passive sampling to capture spatial variability in PM10-2.5
复制标题
DOI：
10.1016/j.atmosenv.2007.09.058
复制
发表时间：
2008-02-01
影响因子：
5
通讯作者：
Peters, Thomas M.
中科院分区：
文献类型：
--
作者：
Ott, Darrin K.;Kumar, Naresh;Peters, Thomas M.
这项工作采用廉价的被动采样技术，在 3 个 7 天的周期内，在中西部城市（爱荷华州爱荷华市）的 33 个地点测量空气动力学直径在 2.5 至 10 μm 之间的空气中粗颗粒 (PM10-2.5)。使用最佳采样设计选择站点数量及其位置，该设计捕获了在移动采样平台上使用实时采样设备测量的 PM10-2.5 总方差的 95%。 PM10-2.5的周平均值分别为15.9μg·m(-3)(站点间变异系数，CV=23%)、17.9μg·m(-3)(CV=24%)、6.1μg·m(-3)(CV=30%)。方差分析显示这些平均值存在统计差异 (p
This work applied inexpensive passive sampling to measure airborne coarse particles with aerodynamic diameters between 2.5 and 10 mu m (PM10-2.5) over three 7-day periods at 33 sites in a medium-sized Midwest City (Iowa City, IA). The number of sites and their locations were selected using an optimal sampling design that captured 95% of the total variance in PM10-2.5 as measured with real-time sampling equipment on a mobile sampling platform. Weekly averages Of PM10-2.5 were 15.9 mu g m(-3) (coefficient of variation between sites, CV=23%), 17.9 mu g m(-3) (CV=24%), and 6.1 mu g m(-3) (CV = 30%). ANOVA showed that these means were statistically different (p