Anja Dreiseidler Untersuchung der Partikelimmissionen an einem städtischen Standort ISBN: 978-3-8322-8927-0 Preis: 48,80 € / 97,60 SFR |
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Incidents of high PM{sub 10} concentrations in the ambient air is actually the most discussed topic in air pollution control. Target of this work is to identify main sources of incidents with high PM{sub 10} concentration in the ambient air by data analysis and evaluation from an existent monitoring network. Three sites with different characteristics were investigated (traffic site, urban background, rural background). The following methods were used: data group formation, correlation matrices and multiple linear regression analysis (meteorological parameter and gaseous components in comparison to PM{sub 10} concentration); analysis of incidents with PM{sub 10}-24h concentration >50 {mu}g/m{sup 3}. Data group formation gives a first hint which parameter delivers a good relation of the PM{sub 10} concentration and which parameter not. Due to the formation of data groups it is possible to get further data information (e.g. formation of ordinal relations to characterize days of rainfall and dry periods). Site-related correlation matrices: Site correlation matrices were used to determine correlations between PM{sub 10} concentration and selected variables. They are also an effective tool to determine possible co-linearities, e.g. temperature and radiation. For the urban background site the best correlation between PM{sub 10} and meteorological parameter or gaseous components were R = 0.44 in maximum. By splitting annual into seasonal correlation matrices the results differ from season to season for some variables, e.g. PM{sub 10}/SO{sub 2} (Spring: R = 0.52, Summer: R = 0.12) or PM{sub 10}/wind velocity (Winter: R = -0.58, Spring: R = 0.01). Multiple linear regression analysis: The results for the traffic site as well as the rural site deliver a percentage of more than 40 % of the PM{sub 10} concentration which could be explained by meteorological parameters. At the urban background site the results were poor (<30%). By splitting the annual related equation of multiple linear regression analysis into seasonal equations the explanation of PM{sub 10} by meteorological parameters could be increased partly to >50% for the urban background. The main factors to explain incidents with high PM{sub 10}-24h concentrations >50 {mu}g/m{sup 3} at the urban background site are adverse meteorological conditions or / and long-range transport of air pollutants. ´´Adverse meteorological conditions´´ in this case means that PM{sub 10}-24h concentrations >50 {mu}g/m{sup 3} were caused due to high PM{sub 10} concentrations in the background level in combination with adverse meteorological conditions, e.g. low wind velocity or dry periods. Characteristical indices were determined to identify long-range transport respectively adverse meteorological conditions for the urban background site. By using the method described in this work it was possible to identify 14 from 18 incidents of PM{sub 10}-24h concentration >50 {mu}g/m{sup 3} caused by long-range transport or / and due to adverse meteorological conditions. (orig.) | |
Quelle: | ETDE - Energy Database-production no.: DE10G8209|
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