Jeong Ukkyo, Kim Jhoon, Lee Hanlim, Jung Jinsang, Kim Young J, Song Chul H, Koo Ja-Ho
Dept. of Atmospheric Sciences, Yonsei University, Science Hall, 134 Sinchon-dong, Seodaemoon-gu, Seoul, 120-749, Korea.
J Environ Monit. 2011 Jul;13(7):1905-18. doi: 10.1039/c0em00659a. Epub 2011 May 23.
The contributions of long range transported aerosol in East Asia to carbonaceous aerosol and particulate matter (PM) concentrations in Seoul, Korea were estimated with potential source contribution function (PSCF) calculations. Carbonaceous aerosol (organic carbon (OC) and elemental carbon (EC)), PM(2.5), and PM(10) concentrations were measured from April 2007 to March 2008 in Seoul, Korea. The PSCF and concentration weighted trajectory (CWT) receptor models were used to identify the spatial source distributions of OC, EC, PM(2.5), and coarse particles. Heavily industrialized areas in Northeast China such as Harbin and Changchun and East China including the Pearl River Delta region, the Yangtze River Delta region, and the Beijing-Tianjin region were identified as high OC, EC and PM(2.5) source areas. The conditional PSCF analysis was introduced so as to distinguish the influence of aerosol transported from heavily polluted source areas on a receptor site from that transported from relatively clean areas. The source contributions estimated using the conditional PSCF analysis account for not only the aerosol concentrations of long range transported aerosols but also the number of transport days effective on the measurement site. Based on the proposed algorithm, the condition of airmass pathways was classified into two types: one condition where airmass passed over the source region (PS) and another condition where airmass did not pass over the source region (NPS). For most of the seasons during the measurement period, 249.5-366.2% higher OC, EC, PM(2.5), and coarse particle concentrations were observed at the measurement site under PS conditions than under NPS conditions. Seasonal variations in the concentrations of OC, EC, PM(2.5), and coarse particles under PS, NPS, and background aerosol conditions were quantified. The contributions of long range transported aerosols on the OC, EC, PM(2.5), and coarse particle concentrations during several Asian dust events were also estimated. We also investigated the performance of the PSCF results obtained from combining highly time resolved measurement data and backward trajectory calculations via comparison with those from data in low resolutions. Reduced tailing effects and the larger coverage over the area of interest were observed in the PSCF results obtained from using the highly time resolved data and trajectories.
利用潜在源贡献函数(PSCF)计算,估算了东亚地区远距离传输气溶胶对韩国首尔碳质气溶胶和颗粒物(PM)浓度的贡献。在韩国首尔于2007年4月至2008年3月期间测量了碳质气溶胶(有机碳(OC)和元素碳(EC))、PM2.5和PM10的浓度。PSCF和浓度加权轨迹(CWT)受体模型用于识别OC、EC、PM2.5和粗颗粒物的空间源分布。中国东北的重工业区如哈尔滨和长春以及包括珠江三角洲地区、长江三角洲地区和京津地区在内的华东地区被确定为高OC、EC和PM2.5源区。引入了条件PSCF分析,以便区分从污染严重的源区传输到受体站点的气溶胶与从相对清洁地区传输的气溶胶的影响。使用条件PSCF分析估算的源贡献不仅考虑了远距离传输气溶胶的浓度,还考虑了对测量站点有效的传输天数。基于所提出的算法,气团路径条件分为两类:一类是气团经过源区的条件(PS),另一类是气团未经过源区的条件(NPS)。在测量期间的大部分季节中,在PS条件下测量站点观测到的OC、EC、PM2.5和粗颗粒物浓度比在NPS条件下高249.5 - 366.2%。对PS、NPS和背景气溶胶条件下OC、EC、PM2.5和粗颗粒物浓度的季节变化进行了量化。还估算了几次亚洲沙尘事件期间远距离传输气溶胶对OC、EC、PM2.5和粗颗粒物浓度的贡献。我们还通过与低分辨率数据的结果进行比较,研究了结合高时间分辨率测量数据和反向轨迹计算得到的PSCF结果的性能。在使用高时间分辨率数据和轨迹得到的PSCF结果中,观察到拖尾效应减少且对感兴趣区域的覆盖范围更大。