Source apportionment of gaseous atmospheric pollutants by means of an absolute principal component scores (APCS) receptor model.
A multivariate statistical method has been applied to apportion the atmospheric pollutant concentrations measured by automatic gas analyzers placed on a mobile laboratory for air quality monitoring in Taranto (Italy). In particular, Principal Component Analysis (PCA) followed by Absolute Principal Component Scores (APCS) technique was performed to identify the number of emission sources and their contribution to measured concentrations of CO, NOx, benzene toluene m+p-Xylene (BTX). This procedure singled out two different sources that explain about 85% of collected data variance.
Bruno
P
P
Department of Chemistry, University of Bari, Italy.
Caselli
M
M
de Gennaro
G
G
Traini
A
A
D000393:Air Pollutants / Q000032:analysis* / Q000592:standards*; D001322:Autoanalysis / Q000379:methods; D001554:Benzene / Q000032:analysis; D002248:Carbon Monoxide / Q000032:analysis; D002849:Chromatography, Gas; D004784:Environmental Monitoring / Q000379:methods; D007220:Industrial Waste / Q000032:analysis; D007558:Italy; D015233:Models, Statistical; D015999:Multivariate Analysis; D009566:Nitrates / Q000032:analysis; D015203:Reproducibility of Results; D013997:Time Factors; D014050:Toluene / Q000032:analysis; D014992:Xylenes / Q000032:analysis
D000393:Air Pollutants; D007220:Industrial Waste; D009566:Nitrates; D014992:Xylenes; D014050:Toluene; D002248:Carbon Monoxide; D001554:Benzene