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通过浓度统计分析识别空气污染物的固定来源。

Identification of stationary sources of air pollutants by concentration statistical analysis.

作者信息

Iovino Pasquale, Salvestrini Stefano, Capasso Sante

机构信息

Department of Environmental Sciences, Second University of Naples, via Vivaldi 43, 81100 Caserta, Italy.

出版信息

Chemosphere. 2008 Sep;73(4):614-8. doi: 10.1016/j.chemosphere.2008.05.047. Epub 2008 Jul 21.

DOI:10.1016/j.chemosphere.2008.05.047
PMID:18640696
Abstract

The atmospheric concentrations of benzene, toluene, ethylbenzene and isomeric xylenes (BTEX) in a medium-sized town (S. Maria Capua Vetere, about 32000 inhabitants, Southern Italy) have been determined during working days and weekends in 2006. The procedure used was 24h passive adsorption by samplers distributed throughout the town followed by GC/MS analysis. On a yearly base, the arithmetic mean benzene concentrations were above the limit required by the 2000/69/CE European Directive. The Pearson correlation coefficients of the 24h geometric mean BTEX concentrations were indicative of stationary sources of toluene located in a well circumscribed area of the urban territory, active only during the working days and not officially recognized. The results highlight the effectiveness of the statistical approach used in this study for the identification of pollutant sources.

摘要

2006年工作日和周末期间,对意大利南部一个中等规模城镇(圣玛丽亚卡普阿韦泰雷,约32000名居民)大气中的苯、甲苯、乙苯和二甲苯异构体(BTEX)浓度进行了测定。采用的方法是通过分布在全镇的采样器进行24小时被动吸附,随后进行气相色谱/质谱分析。按年度计算,苯的算术平均浓度高于2000/69/CE欧洲指令要求的限值。24小时BTEX几何平均浓度的皮尔逊相关系数表明,甲苯的固定源位于城市区域一个界限明确的区域,仅在工作日活跃,且未得到官方认可。结果突出了本研究中用于识别污染源的统计方法的有效性。

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