Statistical approach for characterization of photocopying indoor pollution
Autor: | Jelena S. Kiurski, Sanja Mandarić, Snezana M. Aksentijevic |
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Rok vydání: | 2018 |
Předmět: |
Pollution
Pollutant Atmospheric Science 010504 meteorology & atmospheric sciences Particle number Health Toxicology and Mutagenesis media_common.quotation_subject Regression analysis 010501 environmental sciences Management Monitoring Policy and Law Particulates Positive correlation 01 natural sciences chemistry.chemical_compound chemistry Environmental chemistry Environmental science Nitrogen dioxide Multiple linear regression analysis 0105 earth and related environmental sciences media_common |
Zdroj: | Air Quality, Atmosphere & Health. 11:867-881 |
ISSN: | 1873-9326 1873-9318 |
DOI: | 10.1007/s11869-018-0595-z |
Popis: | Monitoring the concentration of nitrogen dioxide and total volatile organic compounds, as well as the particle number of various sizes, was carried out in indoor air of three photocopying shops in Novi Sad, Serbia. Air samples were collected and analyzed in situ during 8-h working time, in five working days. The concentrations of nitrogen dioxide and total volatile organic compounds were correlated to a particle number by using multiple linear regression analysis. Results indicated that a quantitative direct correlation exists between the investigated variables in first and third photocopying shop, with a medium strength. Furthermore, the interdependence of pollutants was statistically significant, which is confirmed by the experimentally obtained values of parameter F higher than the theoretical F value. A positive correlation between the investigated variables was also confirmed by the obtained t values. Obtained results confirmed the correlations of nitrogen dioxide, total volatile organic compounds, and the particulate matter based on the fact that they are all primarily emitted during photocopy processing. Investigated variables are presented with regression models for each photocopying shop, which further served for drawing a ternary graph. The results may be useful to understand the actual levels of pollutant emissions and their interaction, as well as a better understanding of the mechanism of their formation. |
Databáze: | OpenAIRE |
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