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Principalcomponent analysis-absolute principal component scores PCA-APCS and positivematrix factorization PMF2, an advanced factor analysis technique wereemployed to apportion the sources influencing the PM2.5 levelsmeasured during 2003 through 2005 at a rural coastal site located within theCorpus Christi urban airshed in South Texas. PCA-APCS identified five sourceswhile PMF2 apportioned an optimal solution of eight sources. Both PCA-APCS andPMF2 quantified secondary sulfates to be the major contributor accounting for47% and 45% of the apportioned PM2.5 levels. The other commonsources apportioned by the models included crustal dust, fresh sea salt andtraffic emissions. PMF2 successfully apportioned distinct sources of fresh andaged sea salt along with biomass burns while PCA-APCS was unsuccessful inidentifying aged sea salt and biomass burns; however it successfully identifiedsecondary organic aerosols from photochemical oxidations and also emitted bypetrochemical refineries. The influence of long range transport was noted forsources such as secondary sulfates, biomass burns and crustal dust affectingthe region. Continued collection of speciation data at the rural and urbansites will enhance the understanding of local versus regional sourcecontributions for air quality policy makers and stakeholders.

KEYWORDS

Positive Matrix Factorization PMF2; Principal Component Analysis-Absolute Principal Component Scores PCA-APCS; Coastal; Industrialized Urban

Cite this paper

S. Karnae and K. John -Sources Affecting PM2.5 Concentrations at a Rural Semi-Arid Coastal Site in South Texas,- Journal of Environmental Protection, Vol. 4 No. 1, 2013, pp. 152-162. doi: 10.4236-jep.2013.41018.





Autor: Saritha Karnae, Kuruvilla John

Fuente: http://www.scirp.org/



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