Perrino C, Canepari S, Cardarelli E, Catrambone M, Sargolini T
C.N.R. Institute of Atmospheric Pollution, Via Salaria km. 29, 300-00016 Monterotondo Stazione (Rome), Italy.
Environ Monit Assess. 2008 Jan;136(1-3):69-86. doi: 10.1007/s10661-007-9718-y. Epub 2007 May 15.
A field study was carried out at six locations in the Lazio region (Central Italy) aimed at characterising atmospheric particulate matter (PM10 and PM2.5) from the point of view of the chemical composition and grain size distribution of the particles, the mixing properties of the atmosphere, the frequency and relevance of natural events. The combination of four different analytical techniques (ion chromatography, X-ray fluorescence and ICP for inorganic components, thermo-optical analysis for carbon compounds) yielded sound results in terms of characterisation of the air masses. During the first three months of the study (October-December 2004), many pollution events of natural (sea-salt or desert dust episodes) or anthropogenic nature were identified and characterised. More than 90% of the collected mass was identified by chemical analysis. The central role played by the mixing properties of the lower atmosphere when pollution events occurred was highlighted. The results show a major impact of primary anthropogenic pollutants on traffic stations and a homogeneous distribution of secondary pollutants over the regional area. An evaluation of the sources of PM and an identification of possible reliable tracers were obtained using a chemical fractionation procedure.
在意大利中部拉齐奥地区的六个地点进行了一项实地研究，旨在从颗粒物的化学成分和粒度分布、大气混合特性、自然事件的频率和相关性等方面对大气颗粒物（PM10和PM2.5）进行表征。四种不同分析技术（离子色谱法、X射线荧光分析法和用于无机成分的电感耦合等离子体发射光谱法，以及用于碳化合物的热光分析法）的结合，在气团表征方面取得了可靠的结果。在研究的前三个月（2004年10月至12月），识别并表征了许多自然（海盐或沙尘事件）或人为性质的污染事件。通过化学分析确定了90%以上采集的物质。突出了污染事件发生时低层大气混合特性所起的核心作用。结果表明，主要人为污染物对交通站点有重大影响，而二次污染物在区域内分布均匀。使用化学分馏程序对PM的来源进行了评估，并确定了可能可靠的示踪剂。
