Source categories identification of pm10 in Chihuahua City using a multivariate model

Article Sidebar

PDF (Español (España))
Published: Jun 1, 2008
Keywords:
PM10 particulates, analysis of factors, source categories

Main Article Content

A. Campos
Centro de Investigación en Materiales Avanzados S.C. Departamento de Medio Ambiente y Energía.

Abstract

The particulate matter and other toxic atmospheric pollutants, have been subjects of interest and concern for many years. A requirement to instigate political decisions for human health protection is the study of the principal sources of pollution and the amount of its emissions. The objective of the study was to identify the main categorie sources that contribute to PM10 concentrations in Chihuahua City, using multivariate statistical techniques. Samples were taken from August 2004 to September 2005 in seven sites, including a control site located far from important sources of particulate matter. Sampling and gravimetric determination were developed according to EPA Method IO.2.1. By means of Atomic Absortion, Inductively Coupled Plasma and CHONS analyzer, 34 element concentrations were determined (Al, Ag, As, Au, Ba, Be, CT, Ca, Ce, Cd, Cr, Cu, Co, Er, Fe, Hg, Mg, Mn,Mo, Nd, Ni, Pb, Ru, Sb, Se, Si, Sm, Ti, Tl, U, V, W, Zn, y Zr). Elementary composition data was analyzed by means of Factor Analysis for identifying the main source categories of PM10. Four category sources were identified: Soil Dust (related to Fe-Mn-Be-As-U); Traffic (Co-Mo-V-Zr-Sm-Nd); Industry (Ti-Mg) and Mixed Source (PM10 and CT).

Article Details

How to Cite
Campos, A. (2008). Source categories identification of pm10 in Chihuahua City using a multivariate model. Revista Latinoamericana De Recursos Naturales, 4(2), 89-94. Retrieved from https://revista.itson.edu.mx/index.php/rlrn/article/view/108
Issue
Vol 4 No 2 (2008): May-August
Section
Original Article
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

References

Chow, J.C., J.G. Watson, M.C. Green, D.H. Lowenthal, D.W. DuBois, S.D. Kohl, R.T. Egami, J. Guilles, C.F. Rogers, C.A. Fraizer, y W. Cates. 1999. Middle- and neighborhood – scale variations of PM10 source contributions in Las Vegas, Nevada. J. Air and Waste Manage. Assoc. 49:641-654.
Cox, L.W. 2000. Statistics issues in the study of air pollution involving airbone particulate matter. NRCSE. University of Washington. Seattle, WA.
EPA. Environmental Protection Agency. 1999a. Compendium Method IO-2.1. Sampling of ambient air for total suspended particulate matter (SPM) and PM10 using high volume sampler. CERI. Washington, D.C.
EPA. Environmental Protection Agency. 1999b. Compendium Method IO-3.1. Selection, preparation and extraction of filter material. CERI. University of Washington. Seattle, WA.
EPA. Environmental Protection Agency. 1999c. Compendium Method IO-3.2. Determination of metals in ambient particulate matter using Atomic Absorption (AA) Spectroscopy. CERI. University of Washington. Seattle, WA.
EPA. Environmental Protection Agency. 1999d. Compendium Method IO-3.4. Determination of metals in ambient particulate matter using Inductively Coupled Plasma (ICP) Spectrometry. CERI. University of Washington. Seattle, WA.
Guttorp, P. 2002. Environmental statistics –a personal review. NRCSE-TRS No. 074. Tech. Rep. Series. NRCSE. University of Washington. Seattle, WA.
Hair, J.F., R.E. Anderson, R.L. Totham, y W.C. Black. 1999. Análisis Multivariante. 5a. Edición. Prentice Hall Iberia. Madrid, Es.
Henry, R.C. 1997. History and fundamentals of multivariate air quality receptor models. Chemometrics and Intelligent Laboratory Systems. 37:37-42.
Hopke, P.K., E.S. Gladney, G.E. Gordon, W.H. Zoller, y A.G. Jones. 1976. The use of multivariate analysis to identify sources of selected elements in the Boston aerosol. Atmos. Environ. 10:1015-1025.
Huang, S., K.A. Rhan, y R. Arimoto. 1999. Testing and optimizing two factor-analysis techniques on aerosol at Narragansett, Rhode Island. Atmos. Environ. 33:2169-2185.
Manzanares, L., J. Carrillo, A. Campos, A. Keer y E. Herrera. 2004. Estimation of PM10 and PM2.5 emission factors from unpaved roads for Chihuahua, México. AWMA’s 97th Annual Conference and Exhibition. June 2004. Indianapolis, Indiana.
Marcazzan. G.M., M. Ceriani, G. Valli, y R. Vecchi. 2003. Source apportionment of PM10 y PM2.5 in Milan (Italy) using receptor modeling. The Sci. Total Environ. 317:137-147.
Pakkanen, T.A., K. Loukkola, C.H. Coronen, M. Aurela, T. Mäkelä, R.E. Hillamo, P. Aarnio, T. Koskentalo, A. Kousa, y W. Maenhaut. 2001. Sources and chemical composition of atmospheric fine and coarse particles in the Helsinki area. Atmos. Environ. 35: 5381-5391.
Park, E.S., P. Guttorp, y R.C. Henry. 2000. Multivariate receptor modeling for temporally correlated data by using MCMC. NRCSE. University of Washington. Seattle, WA.
Prendes, P., J.M. Andrade, P. López-Mahía, y D. Prada. 1999. Source apportionement of inorganic ions in airbone urban particles from Coruña city (N.W. Spain) using positive matriz factorization. Talanta 49:165-178.
Vallius, M., T. Lanki, P. Tiittanen, K. Koistinen, J. Ruuskanen, y J. Pekkanen. 2003. Source apportionment of urban ambient PM2.5 in two succesive measurement campaigns in Helsinki, Finland. Atmos. Environ. 37:615-623.