Source apportionment of gaseous atmospheric pollutants by means of an absolute principal component scores (APCS) receptor model

被引：41

作者：

Bruno, P ^{[1
]}

Caselli, M ^{[1
]}

de Gennaro, G ^{[1
]}

Traini, A ^{[1
]}

机构：

[1] Univ Bari, Dept Chem, I-70100 Bari, Italy

来源：

FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY | 2001年 / 371卷 / 08期

关键词：

D O I：

10.1007/s002160101084

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

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页码：1119 / 1123

页数：5

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