Literature DB >> 11798109

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

P Bruno1, M Caselli, G de Gennaro, A Traini.   

Abstract

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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Year:  2001        PMID： 11798109     DOI： 10.1007/s002160101084

Source DB:  PubMed          Journal:  Fresenius J Anal Chem        ISSN： 0937-0633


  6 in total

1.  Characterization and identification of the sources of chromium, zinc, lead, cadmium, nickel, manganese and iron in PM10 particulates at the two sites of Kolkata, India.

Authors:  Kakoli Karar; A K Gupta; Animesh Kumar; Arun Kanti Biswas
Journal:  Environ Monit Assess       Date:  2006-06-02       Impact factor: 2.513

2.  Receptor modeling for source apportionment of polycyclic aromatic hydrocarbons in urban atmosphere.

Authors:  Kunwar P Singh; Amrita Malik; Ranjan Kumar; Puneet Saxena; Sarita Sinha
Journal:  Environ Monit Assess       Date:  2007-03-30       Impact factor: 2.513

3.  Mobile and Fixed-Site Measurements To Identify Spatial Distributions of Traffic-Related Pollution Sources in Los Angeles.

Authors:  Mei W Tessum; Timothy Larson; Timothy R Gould; Christopher D Simpson; Michael G Yost; Sverre Vedal
Journal:  Environ Sci Technol       Date:  2018-02-14       Impact factor: 9.028

4.  Ambient Air Quality Measurements from a Continuously Moving Mobile Platform: Estimation of Area-Wide, Fuel-Based, Mobile Source Emission Factors Using Absolute Principal Component Scores.

Authors:  Timothy Larson; Timothy Gould; Erin A Riley; Elena Austin; Jonathan Fintzi; Lianne Sheppard; Michael Yost; Christopher Simpson
Journal:  Atmos Environ (1994)       Date:  2016-12-21       Impact factor: 4.798

5.  Spatio-Temporal Variation and Futuristic Emission Scenario of Ambient Nitrogen Dioxide over an Urban Area of Eastern India Using GIS and Coupled AERMOD-WRF Model.

Authors:  Sharadia Dey; Srimanta Gupta; Precious Sibanda; Arun Chakraborty
Journal:  PLoS One       Date:  2017-01-31       Impact factor: 3.240

6.  PM10 and gaseous pollutants trends from air quality monitoring networks in Bari province: principal component analysis and absolute principal component scores on a two years and half data set.

Authors:  Pierina Ielpo; Vincenzo Paolillo; Gianluigi de Gennaro; Paolo Rosario Dambruoso
Journal:  Chem Cent J       Date:  2014-02-21       Impact factor: 4.215
  6 in total

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