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Sulphur dioxide is one of the principal gases responsible for the quality of atmospheric air. Air pollution, even relatively low one, is not indifferent to human health. In 2007-2009, an investigation was carried out to follow changes in the concentration of sulphur dioxide in atmospheric air, in different time intervals, depending on the air temperature and humidity. This paper draws on results of continuous measurements taken at the Station of Monitoring the Immission of Air Pollutants in Olsztyn-Kortowo. The measured concentrations of SO2 were presented graphically as means for different time intervals. It has been demonstrated that changes in SO2 concentrations were mainly induced by drops in temperatures, emissions and other industrial actitivities, as well as the course of the growth and development of plants. The highest concentrations appeared at noon and the lowest ones were at night. Analysis of similarities verified hourly variations in the SO2 concentrations in air. Four distinc groups were distinguished: nocturnal (1:00-7:00 a.m.), mid-day (10:00 a.m.-3:00 p.m.), a group with two time intervals (8:00- 9:00 a.m.; 4:00-7:00 p.m.) and late evening (8:00 p.m. - midnight). Considering the aerial concentration levels of this gas in monthly intervals, high similarity was observed between the early spring versus the autumn and winter seasons. Dependences between SO2 concentrations and temperature were confirmed by analysis of the correlation coefficients and linear regression equations. Likewise, relationships between SO2 concentrations and air humidity were analyzed in different time intervals and presented both graphically and statistically, by computing correlations and regression equations. Irrespective of the source of emission and meteorological conditions, the SO2 concentration remained on a low level and did not exceed the permissible threshold either in the vicinity of Olsztyn or in the whole region of Warmia and Mazury.
Ground-level sulphur dioxide is one of the air pollutants of high concern as a typical indicator of urban air quality. To inform decisions regarding, for instance, the protection of public health from elevated SO₂ levels in the city of Balikesir, an understanding of spatial-temporal variance of SO₂ patterns is necessary. Therefore, the aim of this study is to locate sample points, characterize distribution patterns, perform the probability map, and map SO₂ distributions by means of spatial information sciences. In this work, the data were compiled from 48 sampling sites using passive sampling on 10-17 March 2010 (in winter) and on 13-20 August 2010 (in summer). The estimations of SO₂ levels at unsampled locations were carried out with the inverse distance weighted method. Finally, locations exceeding the Turkish Air Quality Standard threshold value were determined in the Balikesir by use of geostatistical algorithms (Indicator kriging). The capability of the methods to predict air quality data in an area with multiple land-use types and pollution sources were then discussed. The results of the passive sampling study show that the winter and summer average concentrations are 32.79 µg/m³ and 28.27 µg/m³ for SO₂, respectively. It is expected that where industrial activity is not excessively important, traffic and domestic heating systems are the main source of SO₂ precursors. Moreover, using Indicator Kriging, results show that there are multiple hotspots for SO₂ concentrations and they are strongly correlated to the locations of industrial plants, traffic, and domestic heating systems in Balikesir.
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