Non-Methane Hydrocarbons Emission during the Photocopying Process
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Non-Methane Hydrocarbons Emission during the Photocopying Process

Authors: Kiurski S. Jelena, Aksentijević M. Snežana, Kecić S. Vesna, Oros B. Ivana

Abstract:

Prosperity of electronic equipment in photocopying environment not only has improved work efficiency, but also has changed indoor air quality. Considering the number of photocopying employed, indoor air quality might be worse than in general office environments. Determining the contribution from any type of equipment to indoor air pollution is a complex matter. Non-methane hydrocarbons are known to have an important role on air quality due to their high reactivity. The presence of hazardous pollutants in indoor air has been detected in one photocopying shop in Novi Sad, Serbia. Air samples were collected and analyzed for five days, during 8-hr working time in three time intervals, whereas three different sampling points were determined. Using multiple linear regression model and software package STATISTICA 10 the concentrations of occupational hazards and microclimates parameters were mutually correlated. Based on the obtained multiple coefficients of determination (0.3751, 0.2389 and 0.1975), a weak positive correlation between the observed variables was determined. Small values of parameter F indicated that there was no statistically significant difference between the concentration levels of nonmethane hydrocarbons and microclimates parameters. The results showed that variable could be presented by the general regression model: y = b0 + b1xi1+ b2xi2. Obtained regression equations allow to measure the quantitative agreement between the variables and thus obtain more accurate knowledge of their mutual relations.

Keywords: Indoor air quality, multiple regression analysis, nonmethane hydrocarbons, photocopying process.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1106249

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References:


[1] B. Singh, A. Kumar, D. Singh, M. Punia, K. Kumar, and V. Jain, “An assessment of ozone levels, UV radiation and their occupational health hazard estimation during photocopying operation,” J. Hazard. Mater., vol. 275, pp. 55-65, May 2014.
[2] K.I. Goud, Q. Hasan, N. Balakrishna, K. Prabhakar Rao, and Y. Ahuja, “Genotoxicity evaluation of individuals working with photocopying machines,” Mutat. Res., vol. 563, no. 2, pp. 151–158, Oct. 2004.
[3] A. Talapatra, and A. Srivastava, “Ambient Air Non-Methane Volatile Organic Compound (NMVOC) Study Initiatives in India - a Review,” Journal of Environmental Protection, vol. 2, no. 1 pp. 21-36, March 2011.
[4] R.S. Russo, Y. Zhou, M.L. White, H. Mao, R. Talbot, and B.C. Sive, “Multi-year (2004–2008) record of nonmethane hydrocarbons and halocarbons in New England: seasonal variations and regional sources,” Atmos. Chem. Phys., vol. 10, pp. 1083–1134, May 2010.
[5] J. Kiurski, V. Kecić, I. Oros, S. Aksentijević, N. Ralević, “Indoor air quality in photocopying facility with statistical analysis,” in Proc. 19th International Symposium on Analytical and Environmental Problems, Szeged, Hungary, 2013, pp. 161-164.
[6] V. Kecić, S. Aksentijević, I. Oros, J. Kiurski, “Indoor emission of prepress procesess,” in Proc. 15th Danube-Kris-Mures-Tisa (DKMT) Euroregion Conference on Environment and Health, Novi Sad, Serbia, 2013, pp. 181-186.
[7] J. Kiurski, V. Kecić, I. Oros, J. Ranogajec, “Ammonia Release during Photocopying Operations,” in Proc. of World Academy of Science, Engineering and Technology (WASET), Lisbon, Portugal, 2014, pp. 692- 696.
[8] J.H. Tang, L.Y. Chan, C.Y. Chan, Y.S. Lia, C.C. Chang, S.C. Liu et al., "Characteristics and diurnal variations of NMHCs at urban, suburban, and rural sites in the Pearl River Delta and a remote site in South China", Atmos. Environ, vol. 41, no. 38 pp. 8620–8632, Dec. 2007.
[9] E. Choi, K. Choi, and S.M. Yi, “Non-methane hydrocarbons in the atmosphere of a Metropolitan City and a background site in South Korea: Sources and health risk potentials,” Atmos. Environ., vol. 45, no. 40, pp. 7563-7573, Dec. 2011.
[10] M. Tranmer, M. Elliot, Multiple linear regression, (Book style). The School of Social Sciences, University of Manchester, 2008, pp. 1-47.