46.

Barcellos E. S. , dos Reis M. M., Ferreira M. M. C., “Chemometric study on atmospheric pollution sources”. Seattle, WA, The United States, 22-26/09/2002: Eighth International Conference on Chemometrics in Analytical Chemistry (CAC VIII, CAC-2002). Program and Abstracts Book, 89 (2002). Poster 58.



                                                                                                                                Ferreira, Márcia M. C.
 

       Title:   Chemometric study on atmosphere pollution sources

  Authors:    Edilton de S. Barcello,1 Marlon M. dos Reis,2 Márcia M. C. Ferreira2
                2Departamento de Química; Universidade Federal de Viçosa; 36570-000 Viçosa; Brazil
                 1Instituto de Química - UNICAMP; Universidade Estadual de Campinas; Campinas, São
                    Paulo 13081-970; Brazil

Keywords:  pollution sources, primary pollutants, Tucker model

Presenter:  Márcia M. C. Ferreira, marcia@iqm.unicamp.br

            The work introduces a methodology to identify the principal emission pollution source in the
Região Metropolitana de São Paulo (RMSP). The analysis covered the primary pollutants CO, NO,
NO2 and CH4, and the secondary one O3. The data consists of concentration measurements made
by Sanitation Department of the State of São Paulo (CETESB) every hour throughout the year of
1999 for each compound, in the site of P. D. Pedro II. In order to capture the systematic variations
for each compound,  the data was firstly submitted to a Principal Component Analysis (PCA), on
data arranged as matrices 24 (hours of the day) x 365 (days of the year). On  the other hand, to
extract simultaneously the daily and weekly systematic variations, the data was arranged in a
multiway structure (24 hours of the day x 7 days a week x 52 weeks of the year) and the Tucker
model was applied. In this case, there are four modes representing respectively, the source, the
weekly, the seasonal and the pollutants contributions.

            The results from PCA analysis revealed the daily emission profile for the pollutants CO, NO,
NO2, CH4 and O3. The analysis by the Tucker model showed the daily and weekly profiles for the
pollutants. From the analysis it was possible to associate CO, NO and NO2 with the vehicular
traffic emission (primary pollutants). CH4 was identified as a primary pollutant also, but associated
primary with the emissions from another sources. The O3 was formed by the primary ones (a
secondary pollutant).

              This work is financed by the State of São Paulo Research Foundation (FAPESP) and
CAPES-PICDT
 
 
 
 
 

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