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HERO ID
1056342
Reference Type
Journal Article
Title
Chemical composition of PM2.5 particles in Salamanca, Guanajuato Mexico: Source apportionment with receptor models
Author(s)
Herrera murillo, J; Campos ramos, A; Ángeles garcía, F; Blanco jiménez, S; Cárdenas, B; Mizohata, A
Year
2012
Is Peer Reviewed?
Yes
Journal
Atmospheric Research
ISSN:
0169-8095
EISSN:
1873-2895
Volume
107
Page Numbers
31-41
DOI
10.1016/j.atmosres.2011.12.010
Web of Science Id
WOS:000302507500004
URL
http://linkinghub.elsevier.com/retrieve/pii/S0169809511004212
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Abstract
The National Institute of Ecology, through Management General for Environmental Research and Training (DGCENICA) carried out a sampling campaign where a total of 21 elements were determined in 140 PM2.5 samples from one sampling site located in the city of Salamanca, Guanajuato-Mexico between November 2006 and November 2007. The annual average PM2.5 concentration was 45 mu g/m(3) almost three times the Mexican Annual standard for PM2.5. Mineral, organic and elemental carbon were the most important components present in particles PM2.5. Two advanced receptor models, UNMIX and positive matrix factorization (PMF) were used for PM2.5 source identification. Four and six sources were identified by UNMIX and PMF, respectively, from a combined dataset including 15 chemical species. Source categories were determined based on both, component abundances in the source profiles, and their temporal characteristics. Overall, different sources were identified as the major contributors: heavy fuels combustion, traditional brick production-agricultural burning, crustal, road traffic and secondary organic aerosols. (C) 2011 Elsevier B.V. All rights reserved.
Keywords
PM2.5; Chemical composition; Source apportionment; UNMIX; PMF; Salamanca Mexico
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ISA-PM (2019)
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