Buzcu-Guven Birnur, Brown Steven G, Frankel Anna, Hafner Hilary R, Roberts Paul T
Michigan State University, East Lansing, MI, USA.
J Air Waste Manag Assoc. 2007 May;57(5):606-19. doi: 10.3155/1047-3289.57.5.606.
Speciated fine particulate matter (PM2.5) data collected as part of the Speciation Trends Network at four sites in the Midwest (Detroit, MI; Cincinnati, OH; Indianapolis, IN; and Northbrook, IL) and as part of the Interagency Monitoring of Protected Visual Environments program at the rural Bondville, IL, site were analyzed to understand sources contributing to organic carbon (OC) and PM2.5 mass. Positive matrix factorization (PMF) was applied to available data collected from January 2002 through March 2005, and seven to nine factors were identified at each site. Common factors at all of the sites included mobile (gasoline)/secondary organic aerosols with high OC, diesel with a high elemental carbon/OC ratio (only at the urban sites), secondary sulfate, secondary nitrate, soil, and biomass burning. Identified industrial factors included copper smelting (Northbrook, Indianapolis, and Bondville), steel/manufacturing with iron (Northbrook), industrial zinc (Northbrook, Cincinnati, Indianapolis, and Detroit), metal plating with chromium and nickel (Detroit, Indianapolis, and Bondville), mixed industrial with copper and iron (Cincinnati), and limestone with calcium and iron (Bondville). PMF results, on average, accounted for 96% of the measured PM2.5 mass at each site; residuals were consistently within tolerance (+/-3), and goodness-of-fit (Q) was acceptable. Potential source contribution function analysis helped identify regional and local impacts of the identified source types. Secondary sulfate and soil factors showed regional characteristics at each site, whereas industrial sources typically appeared to be locally influenced. These regional factors contributed approximately one third of the total PM2.5 mass, on average, whereas local mobile and industrial sources contributed to the remaining mass. Mobile sources were a major contributor (55-76% at the urban sites) to OC mass, generally with at least twice as much mass from nondiesel sources as from diesel. Regional OC associated with secondary sulfate and soil was generally low.
作为物种形成趋势网络的一部分,在中西部四个地点(密歇根州底特律市;俄亥俄州辛辛那提市;印第安纳州印第安纳波利斯市;伊利诺伊州诺斯布鲁克市)收集的特定细颗粒物(PM2.5)数据,以及作为伊利诺伊州邦德维尔农村地区受保护视觉环境机构间监测计划的一部分收集的数据,进行了分析,以了解对有机碳(OC)和PM2.5质量有贡献的来源。对2002年1月至2005年3月期间收集的可用数据应用了正定矩阵因子分解(PMF),每个地点识别出七至九个因子。所有地点的共同因子包括移动源(汽油)/具有高有机碳的二次有机气溶胶、具有高元素碳/有机碳比的柴油(仅在城市地点)、二次硫酸盐、二次硝酸盐、土壤和生物质燃烧。识别出的工业因子包括铜冶炼(诺斯布鲁克、印第安纳波利斯和邦德维尔)、钢铁/铁制造业(诺斯布鲁克)、工业锌(诺斯布鲁克、辛辛那提、印第安纳波利斯和底特律)、铬和镍金属电镀(底特律、印第安纳波利斯和邦德维尔)、铜和铁混合工业(辛辛那提)以及钙和铁的石灰石(邦德维尔)。PMF结果平均占每个地点测量的PM2.5质量的96%;残差始终在公差范围内(±3),拟合优度(Q)是可接受的。潜在源贡献函数分析有助于识别已识别源类型的区域和本地影响。二次硫酸盐和土壤因子在每个地点都显示出区域特征,而工业源通常似乎受到本地影响。这些区域因子平均贡献了总PM2.5质量的约三分之一,而本地移动源和工业源贡献了其余质量。移动源是有机碳质量的主要贡献者(在城市地点占55 - 76%),通常非柴油源的质量至少是柴油源的两倍。与二次硫酸盐和土壤相关的区域有机碳通常较低。