3.3. Influence of meteorological parameters
Table 4 shows the mean, minimum and maximum values of
temperature, relative humidity, wind speed, wind direction and
radiation during the sampling days. These variables are explained
during the discussion of the correlations. Table 5 presents
Spearman’s correlation coefficients between PNC and meteorological
parameters. Except for S1, S3, and S4 sites, PNC exhibited
marginal or no dependency on all meteorological parameters. The
low correlation coefficients can be explained as results of the local
sources (e.g., emission of primary nanoparticles) that dominated
over local wind speed and temperature, thus masking their effect
on nanoparticles (Young and Keller, 2004). Furthermore, meteorological
phenomena of synoptic scale, such as the input of polar
air mass and cold fronts may have contributed to the poor
correlations observed.
3.3. Influence of meteorological parametersTable 4 shows the mean, minimum and maximum values oftemperature, relative humidity, wind speed, wind direction andradiation during the sampling days. These variables are explainedduring the discussion of the correlations. Table 5 presentsSpearman’s correlation coefficients between PNC and meteorologicalparameters. Except for S1, S3, and S4 sites, PNC exhibitedmarginal or no dependency on all meteorological parameters. Thelow correlation coefficients can be explained as results of the localsources (e.g., emission of primary nanoparticles) that dominatedover local wind speed and temperature, thus masking their effecton nanoparticles (Young and Keller, 2004). Furthermore, meteorologicalphenomena of synoptic scale, such as the input of polarair mass and cold fronts may have contributed to the poorcorrelations observed.
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