Smog in the Upper Silesia Industry Region as an one of the consequences of anthropogenic changes of the local climate

Na podstawie danych pochodzących z Regionalnego Systemu Monitoringu Powietrza w Górnośląskim Okręgu Przemysłowym (GOP) oraz wcześniejszych badań zaproponowano kryteria identyfikacji epizodów smogu zimowego. Stosując wspomniane kryteria, rozpoznano epizody smogu zimowego w chłodnych sezonach 1993/94-1996/97. Zbadano związki pomiędzy danymi meteorologicznymi oraz stężeniem dwutlenku siarki i pyłu zawieszonego. Badano wpływ antropogenicznych zmian klimatu lokalnego na występowanie epizodów smogu zimowego.Based on data collected at the Regional System of Air Quality Monitoring in Upper Silesia Industry Region (GOP) and earlier studies, criteria of indicating winter smog episodes have been suggested. Applying mentioned criteria, episodes of winter smog during cold seasons 1993/94-1996/97 have been identified. The meteorological data and the concentration of sulphur dioxide and dust (PMIO) have been correlated. The influence of anthropogenic local climate changes on the winter smog episodes occurrence has been tested

The importance of Regional System of Air Monitoring in Upper Silesia Industry Region in studies of local climate in Katowice agglomeration

W pracy przedyskutowano możliwość wykorzystania danych meteorologicznych uzyskanych z Regionalnego Systemu Monitoringu Powietrza w badaniach klimatu lokalnego. Omówiono wyniki badań nad przestrzenną zmiennością temperatury powietrza, wilgotnością względną i średnią prędkością wiatru nad obszarem Górnośląskiego Okręgu Przemysłowego.In the paper the possibility of investigation the meteorological data, collected at the Automatic Regional System of Air Quality Monitoring, in local climate research has been discussed. The results of investigation the spatial variability of air temperature, relative humidity and wind speed over the area of GOP (Upper Silesia Industry Region) have been reported

Application of the Data Mining Methods to Assess the Impact of Meteorological Conditions on the Episodes of High Concentrations of PM10 along the Polish – Czech Border

The paper presents an attempt to use selected data mining methods to determine the influence of a complex of meteorological conditions on the concentrations of PM10 (PM2.5) proffering the example of the regions of Silesia and Northern Moravia. The collection of standard meteorological data has been supplemented by increments and derivatives of measurable weather elements such as vertical pseudo-gradient of air temperature. The main objective was to develop a universal methodology for the assessment of these impacts, i.e. one that would be independent of the analysed pollution. The probability of occurrence (at a given location) of the assumed concentration level as exceeding the value of the specified distributional quintile was adopted as the discriminant of the incidence. As a result of the analyses conducted, incidences of elevated concentrations of air pollution particulate matter PM10 have been identified and the types of weather responsible for the emergence of such situations have also been determined

Application of the Data Mining Methods to Assess the Impact of Meteorological Conditions on the Episodes of High Concentrations of PM10 along the Polish – Czech Border

The paper presents an attempt to use selected data mining methods to determine the influence of a complex of meteorological conditions on the concentrations of PM10 (PM2.5) proffering the example of the regions of Silesia and Northern Moravia. The collection of standard meteorological data has been supplemented by increments and derivatives of measurable weather elements such as vertical pseudo-gradient of air temperature. The main objective was to develop a universal methodology for the assessment of these impacts, i.e. one that would be independent of the analysed pollution. The probability of occurrence (at a given location) of the assumed concentration level as exceeding the value of the specified distributional quintile was adopted as the discriminant of the incidence. As a result of the analyses conducted, incidences of elevated concentrations of air pollution particulate matter PM10 have been identified and the types of weather responsible for the emergence of such situations have also been determined