PM10 characterization and source apportionment at two residential areas in Bogota

Developmental Biology

Nestor Y. Rojas⁴  Freddy A. Vargas¹  Armistead G. Russell³  Jorge E. Pachon² 

[1] Bogota Air Quality Monitoring Network. Secretaria Distrital de Ambiente, Bogota, Colombia$$;School of Civil and Environmental Engineering, Georgia Institute of Technology. 311 Ferst Dr., Atlanta, GA, 30332, USA$$Programa de Ingenieria Ambiental y Sanitaria. Universidad de La Salle, Bogota, Colombia$$;School of Civil and Environmental Engineering, Georgia Institute of Technology. 311 Ferst Dr., Atlanta, GA, 30332, USA$$;Department of Chemical and Environmental Engineering. Universidad Nacional de Colombia. Carrera 30 45–03. Edif. 412, Of. 206. Bogota, Colombia$$

关键词: Particulate matter;    Source apportionment;    Receptor modeling;    Positive matrix factorization;   

DOI  :  10.5094/APR.2012.006

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

Bogota is the largest city in Colombia and is considered one of the most ones polluted in Latin America. The annual average PM₁₀ concentration in the city is 55 μg/m³, being as high as 90 μg/m³ in the western region of the city. In this study, two sites in the western region were selected to assess the PM₁₀ contribution from different sources. Two sets of fifty five 24–hour PM₁₀ samples were taken at each site on quartz and Teflon filters. Chemical analysis of these samples was conducted to determine the ion, metal, and organic and elemental carbon concentrations. Ionic balance and mass closure were performed to check the consistency of chemical analysis. Positive Matrix Factorization (PMF) was then applied to determine the source contributions. Mobile sources and fugitive windblown dust were found to be the most significant sources of PM₁₀ at both sites. An ion factor and a secondary aerosol source factor were identified at one site, whereas industry–related factors were identified at the other site, as expected in an area with a high density of small and medium industrial facilities. While it is true that source apportionment studies have been conducted worldwide, this is the first time that the Positive Matrix Factorization (PMF) model is applied in Bogota using full PM₁₀ chemical speciation data, including carbonaceous materials, metals and ions. It is also the first time that a receptor model is applied simultaneously in two sites of the city. We aim that the results from this study will support environmental authorities in designing effective air pollution abatement measures in the city.

【 授权许可】

Unknown   

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