The aim of this study was to characterize thermal sensations and distribution across the years 2006–2011 on the basis of two bioclimatic indicators. The study was based on hourly meteorological data for the period April-October collected from the station, located on the eastern outskirts of Wrocław. TE and TRE were calculated with the use of BioKlima 2.6. software, while the evaluation of thermal sensations by the local population was performed according to the scale developed by Mikhailov. The average TE in the period April-October was 8.3°C and on average about 1.1°C lower than TRE. The highest TE and TRE were recorded in the summer months. In July, their above-average levels were most frequently reported between 9:00 and 17:00. During the 7-monthlong study period, all kinds of thermal sensations were reported; from „very cold” to „hot”. In suburban Wrocław, sensations of „cold” dominated. „Hot” temperatures were indicated only by TRE in four months.
Our aim was to determine relationships between the tropospheric ozone concentration and the nitrogen dioxide concentration, selected meteorological factors and radiation-effective temperature in the suburban area of the city of Wroclaw. Hourly data from 2006-2011 used in the study included concentrations of tropospheric ozone, nitrogen dioxide concentrations, air temperature, air humidity, wind velocity and total irradiance of the sun. Radiation-effective temperature (TRE) was determined on the basis of the four meteorological elements. Concentrations of ozone in southwest Poland show annual, seasonal and daily variation. The highest values occur in the warmest time of the year and day, while the lowest ones are noted in the cold season of the year, in October and in the morning. The variation of ozone concentrations was found to be shaped by changes in nitrogen dioxide concentrations, meteorological elements and the bioclimatic indicator. Ozone and nitrogen dioxide were mutually most strongly correlated in the winter season. In the warm season of the year, from April to October, the ozone concentration was mainly shaped by air temperature, solar radiation, wind velocity and TRE (positive effects), and by relative humidity of the air (a negative influence). The multiple regression equation best described the ozone concentration variation in May. Increased concentrations of ozone were found to appear during thermal stress, expressed as a sensation of warmth/heat, but could also occur under thermal comfort conditions.
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