Receptor modeling for source apportionment of particle bounded polycyclic aromatic hydrocarbons at an urban location in Spain
| Autor: | Callén Romero, Mª Soledad, Iturmendi, Amaia, López Sebastián, José Manuel, Mastral Lamarca, Ana María |
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| Přispěvatelé: | Gobierno de Aragón, European Commission, Ministerio de Ciencia e Innovación (España), Diputación General de Aragón |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | Trabajo presentado a la 15th Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, celebrada en Madrtid (España) del 6 al 9 de mayo de 2013. Polycyclic Aromatic Hydrocarbons (PAH) are a group of organic pollutants, which are mainly formed from both natural and anthropogenic sources. PAH are an environmental concern because their carcinogenic, mutagenic and immuno-toxic properties and for this reason, EPA (Environmental Protection Agency of United States) has included 16 PAH on its list of priority pollutants. In this paper, the PAH associated to the airborne particulate matter less or equal than 2.5 μm (PM2.5) were studied by using two receptor models based on multivariate statistical tools (UNMIX and PMF) in the city of Zaragoza, Spain. A high volume air sampler with a PM2.5 cut off was used to collect samples from June 2011-May 2012. PAH on the particle phase were extracted by Soxhlet and 19 PAH were analyzed by gas-chromatography with mass spectrometry mass spectrometry detection (GC-MS-MS). Chrysene, benzo(b)fluoranthene, fluoranthene, pyrene and benzo(e)pyrene represented the 47% of the average total PAH. Good correlations were obtained between the experimental and the modeled PAH by both models and a comparison of the different quantified factors was carried out. Despite no episodes of benzo(a)pyrene (BaP) equal or higher than 1.0 ng/m3 were obtained (Directive 2004/107/EC), the concentration of PM2.5 exceeded the limit value of 25 μg/m3 (Directive 2008/50/EC) in several occasions. These episodes were interpreted according to both models in order to check the impact of different anthropogenic sources, especially the traffic emissions factor. Authors would like to thank the Industry and Innovation department of Gobierno de Aragón (DGA), the Fondo Social Europeo “Construyendo Europa desde Aragón” and the Ministry of Science and Innovation (Spain) through the project CGL2009-14113-C02-01for partial financial support. J.M. López would also like to thank the MICIIN for his Ramón and Cajal contract. |
| Databáze: | OpenAIRE |
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