PATTERN RECOGNITION OF PARTICULATE-BOUND POLLUTANTS SAMPLED DURING A LONG TERM URBAN AIR MONITORING SCHEME
✍ Scribed by CARLA ARMANINO; ALDO RODA; ADRIANO IUS; M. C. CASOLINO; M. A. BACIGALUPO
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 858 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1180-4009
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✦ Synopsis
Ambient atmospheric particulate samples were collected daily from the northern Italian city of Bologna. Sampling commenced in October 1991 and was completed in March 1993. Benzo(a)pyrene (BaP), a polycyclic aromatic hydrocarbon (PAH) derived from combustion, and the metal species of Pb, Cr, V, Ni and Cd were determined in each particulate sample, with corresponding meteorological data being logged throughout this entire period. By using multivariate statistical analysis, patterns in that data set were explained. Principal component analysis and cluster analysis were applied to the chemical variables; groups of similar samples were found. The existence of the clusters, identified in the chemical variable domain, was tested in the domain of the atmospheric parameters by Uneq, a class modelling method based on quadratic discriminant analysis; the dependence of air pollutant concentrations on atmospheric condition was verified. The influence of car traffic limitations on the concentrations of benzo(a)pyrene and metals was evaluated by principal component analysis; a reduction of these concentrations was made evident in the multivariate plots.