title: Air pollution sources of PM(10) in Buenos Aires City.
abstract: To elucidate the sources of PM(10) air pollution from the experimental information collected in a local air quality monitoring campaign we have applied two methods, effective variance and genetic algorithms, in the solution of the chemical mass balance. The comparison of these two mathematical approaches show that the identification of the possible sources and the evaluation of its contributions are quite independent of them. The role of possible different sources for major and trace elements and the significance of standardizing available data is also addressed. We also present a simple method for identifying the number of candidate sources, a key element defining the dimension of the search space.
authors.affiliation: Universidad de San Martín, ECyT, Martín de Irigoyen 3100, San Martín, B1653HIM Buenos Aires, Argentina. silreich@gmail.com
authors.forename: Silvia
authors.initials: S
authors.lastname: Reich
authors.forename: Fabiana
authors.initials: F
authors.lastname: Robledo
authors.forename: Darío
authors.initials: D
authors.lastname: Gomez
authors.forename: Patricia
authors.initials: P
authors.lastname: Smichowski
mesh_terms: D000336:Aerosols / Q000032:analysis; D000393:Air Pollutants / Q000032:analysis*; D001118:Argentina; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D052638:Particulate Matter / Q000032:analysis*
chemical_list: D000336:Aerosols; D000393:Air Pollutants; D052638:Particulate Matter