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Identification of emission sources from data of PM2.5 chemical speciation measured with automatic monitors: application in a coastal site of the Mediterranean basin

机译:通过自动监测仪测量的PM2.5化学形态数据识别排放源:在地中海盆地沿海地区的应用

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High-time resolution (1 hour) measurements of 11 species (organic carbon, elemental carbon,chloride, nitrite, nitrate, sulfate, sodium, ammonium, potassium, magnesium, calcium) withinthe PM2.5 were conducted, from 3rd May to 30th June 2010, in a coastal site of Basilicata(Italy). Acquired data were analysed through Positive Matrix Factorization (PMF) method inorder to individuate potential emission sources. This source apportionment evaluation revealed5 factors separated as Vehicular traffic, Combustion of biomass, Secondary aerosol, Agedmarine, Marine fresh and Dust. For each factor were defined profile, temporal trend, 24hcycleand percentage contribution to measured PM2.5, also emphasizing the relationship betweenfactors and different wind conditions.
机译:从5月3日至6月30日,对PM2.5内的11种物质(有机碳,元素碳,氯化物,亚硝酸盐,硝酸盐,硫酸盐,钠,铵,钾,镁,钙)进行了高分辨率(1小时)测量2010年,在巴西利卡塔的沿海地区。通过正矩阵分解(PMF)方法对获取的数据进行分析,以便区分潜在的排放源。来源分配评估揭示了5个因素,分别是车辆交通,生物质燃烧,二次气溶胶,海蓝宝石,海洋新鲜和粉尘。为每个因子定义了剖面,时间趋势,24h周期和对测得的PM2.5的贡献百分比,还强调了因子与不同风况之间的关系。

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