Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/43960
Type of publication: Straipsnis konferencijos medžiagoje kitose duomenų bazėse / Article in conference proceedings in other databases (P1c)
Field of Science: Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)
Author(s): Dėdelė, Audrius;Laurinavičienė, Dovilė;Dėdelienė, Kristina
Title: Distribution of benzene concentration in Kaunas city
Is part of: CYSENI 2012 [elektroninis išteklius] : the 9th annual conference of young scientists on energy issues, 24-25 May, 2012, Kaunas, Lithuania : conference proceedings. Kaunas : LEI, 9 (2012)
Extent: p. 612-616
Date: 2012
Keywords: Air pollution;Benzene concentration;Map;Distribution;Interpolation method
Abstract: Benzene is considered as an indicator of others volatile organic compounds. The aim of this study was to assess distribution of benzene concentration in Kaunas. A passive sampling method was used. The diffusion tube comprises a glass sampling tube open at both ends and filled with activated charcoal. Sampling was carried out in 15 points of Kaunas city. The study was begun in November 2010. Study results presents distribution of benzene concentration in autumn, winter, spring, summer seasons. In future the study will be extended. According to measured concentration average concentration in whole Kaunas city were calculated. The study results showed that mean of benzene concentration in Kaunas city was 1.9 μg/m3, with the range of 1.5 to 2.61 μg/m3 The highest benzene concentrations in Vilijampolė, Sargėnai, Petrašiūnai districts did not exceed the annual limit value for the protection for human health (5.0 mg/m3), but were higher than the lower assessment threshold value of 2.0 μg/m3. The results of the study were introduced in the ESRI Geographic Information System software ArcGIS and the extension Geostatistical Analyst was used to obtain map of distribution of benzene concentration. To get a better view of the distribution of pollutant concentration, the obtained values were spatially interpolated using the IDW (Inverse Distance Weighted) method
Internet: https://hdl.handle.net/20.500.12259/43960
Affiliation(s): Aplinkotyros katedra
Gamtos mokslų fakultetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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