2011
DOI: 10.1016/j.atmosenv.2011.06.039
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Influence of meteorological factors and emission sources on spatial and temporal variations of PM10 concentrations in Istanbul metropolitan area

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Cited by 82 publications
(59 citation statements)
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“…Such tendency indicates the high pressure weather which contributes to the intensification of heating processes and consequently to the increase in emission of the products of traditional energy sources combustion thereby weakening natural air ventilation. The significant influence of anticyclonic weather on concentration levels of the pollutants was demonstrated by Czarnecka and Nidzgorska-Lencewicz (2011), Drzeniecka-Osiadacz and Netzel (2010a), Unal et al (2011) and Kukkonen et al (2005). The significance of such weather conditions was slightly more marked with respect to particulate matter concentration.…”
Section: Resultsmentioning
confidence: 79%
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“…Such tendency indicates the high pressure weather which contributes to the intensification of heating processes and consequently to the increase in emission of the products of traditional energy sources combustion thereby weakening natural air ventilation. The significant influence of anticyclonic weather on concentration levels of the pollutants was demonstrated by Czarnecka and Nidzgorska-Lencewicz (2011), Drzeniecka-Osiadacz and Netzel (2010a), Unal et al (2011) and Kukkonen et al (2005). The significance of such weather conditions was slightly more marked with respect to particulate matter concentration.…”
Section: Resultsmentioning
confidence: 79%
“…Cluster analysis is a statistical classification method used to identify homogeneous subgroups in a population and gather them into sets of data basing on their similarity (Gerstengarbe and Werner 1997). As a reliable and relatively simple method of classification, clustering is also used in studies on air quality, with hierarchical clustering being used most commonly (Yonemura et al 2008;Yoo et al 2011;Unal et al 2011). However, in this paper, we use the k-means clustering, which belongs to a group of nonhierarchical cluster analysis methods.…”
Section: Methodsmentioning
confidence: 99%
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