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首页> 外文期刊>Journal of the air & waste management association >Comparison of source apportionments of fine particulate matter at two San Jose Speciation Trends Network sites
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Comparison of source apportionments of fine particulate matter at two San Jose Speciation Trends Network sites

机译:在两个圣何塞物种形成趋势网络站点上比较细颗粒物的源分配

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In this study, the chemical composition of fine particulate matter samples collected at U.S. Environmental Protection Agency Speciation Trends Network sites in San Jose, CA, from February 2000 to February 2005 were analyzed. A San Jose site was initially established at 4th Street and then subsequently moved to Jackson Street in mid-2002. These sites are similar to 1 km apart. There were no known major changes in the nature of the sources in the area over this period. The study used positive matrix factorization model to extract the source profiles and their mass contributions and to compare the results for the congruence of the source apportionments between these two nearby sites. In the case of the 4th Street site, the average mass was apportioned to wood combustion (32.1 +/- 2.5%), secondary nitrate (22.3 +/- 2%), secondary sulfate (10.7 +/- 0.6%), fresh sea salt (7.7 +/- 0.9%), gasoline vehicles (7.3 +/- 0.5%), aged sea salt (6.8 +/- 0.4%), road dust (6.7 +/- 0.7%), diesel emissions (3.9 +/- 0.3%), and a Ni-related industrial source (2.5 +/- 0.4%). At the Jackson Street site, the average mass was apportioned to wood combustion (33.6 +/- 2.6%), secondary nitrate (20.3 +/- 1.9%), secondary sulfate (13.9 +/- 0.9%), aged sea salt (12.4 +/- 0.7%), gasoline vehicle (8.3 +/- 0.6%), fresh sea salt (5.3 +/- 0.5%), diesel emission (3.2 +/- 0.3%), road dust (1.9 +/- 0.1%), and Ni-related industrial source (1.3 +/- 0.1%). Conditional probability function analysis was used to help identify local sources. These results suggested that moving the sampling site a short distance had little effect on the nature of the resolved source types although some differences in their quantitative impacts were obtained in the positive matrix factorization analyses.
机译:在这项研究中,分析了从2000年2月至2005年2月在美国加利福尼亚州圣何塞市美国环境保护局物种发展趋势网络站点收集的细颗粒物质样品的化学成分。 San Jose站点最初在第4街建立,然后在2002年中移至Jackson街。这些站点相距约1公里。在此期间,该地区的来源性质没有已知的重大变化。该研究使用正矩阵分解模型来提取源剖面及其质量贡献,并比较两个附近站点之间源分配的一致性的结果。就第四街而言,平均质量分配给木材燃烧(32.1 +/- 2.5%),次硝酸盐(22.3 +/- 2%),次硫酸盐(10.7 +/- 0.6%),新鲜海水。盐(7.7 +/- 0.9%),汽油车(7.3 +/- 0.5%),陈年海盐(6.8 +/- 0.4%),道路扬尘(6.7 +/- 0.7%),柴油排放(3.9 + / -0.3%)和镍相关的工业来源(2.5 +/- 0.4%)。在杰克逊街现场,平均质量分配给木材燃烧(33.6 +/- 2.6%),次硝酸盐(20.3 +/- 1.9%),二次硫酸盐(13.9 +/- 0.9%),陈年海盐(12.4) +/- 0.7%),汽油车(8.3 +/- 0.6%),新鲜海盐(5.3 +/- 0.5%),柴油排放(3.2 +/- 0.3%),道路扬尘(1.9 +/- 0.1%) )以及与镍相关的工业来源(1.3 +/- 0.1%)。条件概率函数分析用于帮助识别本地资源。这些结果表明,尽管在正矩阵分解分析中获得了定量影响方面的一些差异,但将采样点移动一小段距离对解析的源类型的性质影响很小。

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