Chemistry Department, University of Bari, via Orabona, 4, 70126 Bari, Italy.
Environ Sci Pollut Res Int. 2012 Sep;19(8):3132-41. doi: 10.1007/s11356-012-0804-5. Epub 2012 Aug 8.
This study was aimed to the development of an integrated approach for the characterization of particulate matter (PM) pollution events in the South of Italy.
PM(10) and PM(2.5) daily samples were collected from June to November 2008 at an urban background site located in Bari (Puglia Region, South of Italy). Meteorological data, particle size distributions and atmospheric dispersion conditions were also monitored in order to provide information concerning the different features of PM sources.
The collected data allowed suggesting four indicators to characterize different PM(10) exceedances. PM(2.5)/PM(10) ratio, natural radioactivity, aerosol maps and back-trajectory analysis and particle distributions were considered in order to evaluate the contribution of local anthropogenic sources and to determine the different origins of intrusive air mass coming from long-range transport, such as African dust outbreaks and aerosol particles from Central and Eastern Europe. The obtained results were confirmed by applying principal component analysis to the number particle concentration dataset and by the chemical characterization of the samples (PM(10) and PM(2.5)).
The integrated approach for PM study suggested in this paper can be useful to support the air quality managers for the development of cost-effective control strategies and the application of more suitable risk management approaches.
本研究旨在开发一种综合方法，用于描述意大利南部的颗粒物（PM）污染事件。
2008 年 6 月至 11 月，在意大利南部普利亚地区巴里市的一个城市背景点采集了 PM(10)和 PM(2.5)日样本。还监测了气象数据、粒径分布和大气扩散条件，以提供有关 PM 源不同特征的信息。
所收集的数据表明，可以用四个指标来描述不同的 PM(10)超标情况。PM(2.5)/PM(10)比、天然放射性、气溶胶图和后轨迹分析以及颗粒分布被认为是评估本地人为源贡献的指标，并确定来自长程传输的侵入性气团的不同来源，如非洲尘暴和来自中欧和东欧的气溶胶颗粒。通过对颗粒物浓度数据集应用主成分分析和对 PM(10)和 PM(2.5)样本进行化学特征分析，验证了所得结果。
本文提出的 PM 研究综合方法可用于为空气质量管理人员提供支持，以制定具有成本效益的控制策略，并应用更合适的风险管理方法。
