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2 2014

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The Comparison of the Measured Clearness Index for Different Locations in the Moderate Continental Climate Region

Petrović I., Purković D., Maleš N.

Przegląd Elektrotechniczny

2014

R. 90, nr 3

128--131

The object of this research is to compare clearness index for different locations in same climate region, based on measurements. The clearness index is used in conventional analytical modelling of PV resources. Since these models use average values for every climate and geographical region, these parameters are usually provided from generic data bases available from World Wide Web. New empirical average value for clearness index of the researched region can be calculated from results of this research, and used for better modelling of PV resources.

Celem pracy była analiza przejrzystości powietrza dla różnych lokalizacji ogniw fotowoltaicznych. Badano indeks przejrzystości dla różnych lokalizacji na przykładzie klimatu śródziemnomorskiego – Chorwacji.

Effect of air pollution on visibility in urban conditions. Warsaw case study

Majewski G., Czechowski P O, Badyda A., Brandyk A.

Environment Protection Engineering

2014

Vol. 40, nr 2

47--64

The influence of air pollutants on visibility in Warsaw Agglomeration has been investigated. Following pollutants were considered: PM10, SO2, NO2 and O3, while meteorological parameters included: air temperatures (mean, minimum, maximum), solar radiation, relative air humidity, rainfall rates and wind speed. Initial analyses were performed with the use of principal component analysis (PCA). In next stages, the logistic regression (LR), the analysis of variance (ANOVA), one-way classification and a model path of generalized regression models (GRM) were applied. PCA analysis showed that in the cold season the visibility index depends on PM10, SO2, NO2 and the temperatures: T, Tmin, and Tmax. In the warm season, the index of visibility is mostly shaped by four elements: O3, T, Tmax and solar radiation. Logistic regression model indicated that in the warm season only two variables are significantly related to visibility: PM10 and relative humidity of air. Regularities in the cold season shown by the LR correspond with the conclusions from the PCA. Among meteorological conditions, the most important is air temperature, but only Tmax preserves the same direction of influence as the one pointed by the PCA model.