1998
DOI: 10.1016/s1352-2310(97)00377-4
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Principal component and canonical correlation analysis for examining air pollution and meteorological data

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Cited by 183 publications
(86 citation statements)
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“…The PLI values vary from 0 (unpolluted) to higher than 5 (extremely polluted) as follows (Zhang et al 2011): PLI = 0 background concentration; 0 <PLI<1 unpolluted; 1 < PLI<2 moderately to unpolluted; 2 < PLI < 3 moderately polluted; 3 < PLI < 4 moderately to highly polluted; 4 < PLI < 5 highly polluted; PLI > 5 extremely polluted. Several multivariate data analysis techniques have been applied to atmospheric data (Wiedensohler et al 1996;Statheropoulos et al 1998, Astel et al 2008, Viet et al 2010, Baceva et al 2013. Multivariate data analysis is a powerful tool to investigate multivariate and complex data sets by revealing trends and relationships of these parameters.…”
Section: Data Processing and Statistical Analysesmentioning
confidence: 99%
“…The PLI values vary from 0 (unpolluted) to higher than 5 (extremely polluted) as follows (Zhang et al 2011): PLI = 0 background concentration; 0 <PLI<1 unpolluted; 1 < PLI<2 moderately to unpolluted; 2 < PLI < 3 moderately polluted; 3 < PLI < 4 moderately to highly polluted; 4 < PLI < 5 highly polluted; PLI > 5 extremely polluted. Several multivariate data analysis techniques have been applied to atmospheric data (Wiedensohler et al 1996;Statheropoulos et al 1998, Astel et al 2008, Viet et al 2010, Baceva et al 2013. Multivariate data analysis is a powerful tool to investigate multivariate and complex data sets by revealing trends and relationships of these parameters.…”
Section: Data Processing and Statistical Analysesmentioning
confidence: 99%
“…The device (sunshine recorder) for measuring sunshine hours is simple (more details in Section 2), but useful information can be generated from the data and can be employed in many areas of research. This data has been used in several studies, including for air quality (Sanchez-Romero et al, 2016;Li et al, 2016); environmental pollution (Kaiser and Qian, 2002;Statheropoulos et al, 1998); energy (Yaiche et al, 2014); and solar radiation prediction modelling studies (Mulaudzi et al, 2015;Adeyemi et al, 2015;Singh et al, 2011). The sunshine hour of any day is affected by varying atmospheric and sky conditions, so SD can, therefore, indirectly indicate atmospheric turbidity, visibility and sky conditions.…”
Section: Introductionmentioning
confidence: 99%
“…PCA assumes a linear relationship between the measurement variables. This relationship, using PCA, was also found to hold for the studies in Athens (Statheropoulos et al,1998) Kuwait City (Abdul-Wahab et al,2005. The above results suggest a study of the effect of wind speed and direction on pollutants concentrations as a next step.…”
Section: Fourth Principal Component (Pc4)mentioning
confidence: 59%