The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions

• Autorzy: Paliulis Dainius , Grubliauskas Raimondas

Identyfikatory

DOI

10.54740/ros.2024.057

• Języki publikacji: EN

Abstrakty

EN

Analysis variations in the intensity of vectors estimating indoor air pollution (PM2.5, PM10 and CO₂) and noise levels are presented. The research was conducted in an office room during COVID-19. The theory of covariance functions was used to analyse changes in the intensity of the vectors of determined parameters. The estimates of the cross-covariance functions of digital vectors and the autocovariance functions of the individual vectors of air pollution and noise recording sensor parameters were calculated in line with the random functions of data arrays measuring the vectors of air pollution sensor parameters. The approximations of covariance functions were calculated by changing the quantisation interval on a time scale and applying software created based on the Matlab procedure package. The stochastic interdependence of the vectors of air pollution and noise level recording sensor parameters and variations in vectors on the time scale was established.

Słowa kluczowe

EN

indoor air pollutants; PM2.5; PM10; CO2; noise level; covariance function; COVID-19

• Wydawca: Politechnika Koszalińska
• Czasopismo: Rocznik Ochrona Środowiska
• Rocznik: 2024
• Tom: Tom 26
• Strony: 658--671
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Paliulis Dainius

• Department of Environmental Protection and Water Engineering, Vilnius Gediminas Technical University(Vilnius TECH), Lithuania

• https://orcid.org/0000-0003-4353-3192

autor

Grubliauskas Raimondas

• Department of Environmental Protection and Water Engineering, Vilnius Gediminas Technical University (Vilnius TECH), Lithuania 0000-0002-8625-9333

• https://orcid.org/0000-0002-8625-9333

Bibliografia

• Antoine, J.P. (2000). Wavelet analysis of signals and images. Revista Ciencias Matematicas, 18, 113-143.
• Brace, M.D., Stevens, E., Taylor, S.M., Butt, S., Sun, Z., Hu, L., Borden, M., Khanna, N., Kuchta, J., Trites, J., Hart, R., Gibson, M.D. (2014). 'The air that we breathe': Assessment of laser and electrosurgical dissection devices on operating theater air quality. Journal of Otolaryngology – Head & Neck Surgery, 43(1), 39. https://doi.org/10.1186/s40463-014-0039-1
• Brdarić, D., Kovač-Andrić, E., Šapina, M., Kramarić, K., Lutz, N., Perković, T., Egorov, A. (2019). Indoor air pollution with benzene, formaldehyde, and nitrogen dioxide in schools in Osijek, Croatia. Air Quality, Atmosphere & Health, 12(8). 963-968. https://doi.org/10.1007/s11869-019-00715-7
• Canha, N., Mandin, C., Ramalho, O., Wyart, G., Ribéron, J., Dassonville, C., Hänninen, O., Almeida, S. M., Derbez, M. (2016). Assessment of ventilation and indoor air pollutants in nursery and elementary schools in France. Indoor Air, 26(3), 350-365. https://doi.org/10.1111/ina.12222
• Dumała, S.M., Dudzińska, M.R. (2013). Microbiological indoor air quality in Polish schools. Rocznik Ochrona Środowiska, 1, 231-244.
• Dutkay, D.E, Jorgensen P.E.T. (2004). Wavelets on fractals. Revista Matemática Iberoamericana, 22, 131-180.
• Gritzki, R., Rösler, M. (2013). Komfort für Passivhaus‐Büros−Planungsunterstützung mit Hilfe gekoppelter Gebäude‐, Anlagen‐und Strömungssimulation. Bauphysik, 35(1), 8-15. https://doi.org/10.1002/bapi.201310040
• Heberle, S.M., Lorini, C., Rosa, M.S., Barros, N. (2019). Evaluation of bus driver exposure to nitrogen dioxide levels during working hours. Atmospheric Environment. 216(116906), 1-9.
• https://doi.org/10.1016/j.atmosenv.2019.116906
• Higashikubo, I, Miyauchi, H., Yoshida, S., Tanaka, S., Matsuoka, M., Arito, H., Araki, A., Shimizu, H., Sakurai, H. (2017). Assessment of workplace air concentrations of formaldehyde during and before working hours in medical facilities. Industrial health, 55(2), 192-198. https://doi.org/10.2486/indhealth.2016-0147
• Jung, C.C., Wu, P.C., Tseng, C.H., Su, H.J. (2015). Indoor air quality varies with ventilation types and working areas in hospitals, Building and Environment, 85, 190-195. https://doi.org/10.1016/j.buildenv.2014.11.026
• Koch, K.R. (2000). Einführung in die Byes-Statistik. Springer-Verlag Berlin Heidelberg. 224 p.
• Kogianni, E., Kouras, A., Samara, C. (2020). Indoor concentrations of PM 2.5 and associated water-soluble and labile heavy metal fractions in workplaces: implications for inhalation health risk assessment. Environmental Science and Pollution Research, 1-11. https://doi.org/10.1007/s11356-019-07584-8
• Kolarik, J., Toftum, J., Kabrhel, M., Jordan, F., Geiss, O., Kabele, K. (2015). Field measurements of perceived air quality and concentration of volatile organic compounds in four offices of the university building. Indoor and Built Environment, 24(8), 1048-1058. https://doi.org/10.1177/1420326X14537283
• Liu, J., Liang, Q., Oldham, M.J., Rostami, A.A., Wagner, K.A., Gillman, I., Patel, P., Savioz, R., Sarkar, M. (2017). Determination of selected chemical levels in room air and on surfaces after the use of cartridge-and tank-based e-vapor products or conventional cigarettes. International journal of environmental research and public health, 14(9):969, 1-21. https://doi.org/10.3390/ijerph14090969
• Madureira, J., Paciência, I., Rufo, J., Ramos, E., Barros, H., Teixeira, J.P., de Oliveira Fernandes, E. (2015). Indoor air quality in schools and its relationship with children's respiratory symptoms. Atmospheric Environment, 118, 145-156. https://doi.org/10.1016/j.atmosenv.2015.07.028
• Maliszewska, A., Szkarowski, A., Chernykh, A. (2019). Normative problems of the nitrogen oxides concentration limiting in the human residence environment. Rocznik Ochrona Środowiska, 2, 1328-1342.
• Pitarma, R., Marques, G., Ferreira, B.R. (2017). Monitoring indoor air quality for enhanced occupational health. Journal of medical systems, 41(2), 23, 1-8. https://doi.org/10.1007/s10916-016-0667-2
• Rivas, I., Viana, M., Moreno, T., Pandolfi, M., Amato, F., Reche, C., Bouso, L., Àlvarez-Pedrerol M., Alastuey, A., Sunyer, J., Querol, X. (2014). Child exposure to indoor and outdoor air pollutants in schools in Barcelona, Spain. Environment international, 69, 200-212. https://doi.org/10.1016/j.envint.2014.04.009
• Salama, K.F., Berekaa, M.M. (2016). Assessment of air quality in Dammam slaughter houses, Saudi Arabia. International Journal of Medical science and public Health, 5(2), 287-291. https://doi.org/10.5455/ijmsph.2016.10092015121
• Serafimova, E., Petkova, V., Kostova, B. (2015). In: 11th Scientific Conference with International Participation SPACE, ECOLOGY, SAFETY (pp. 4-6).
• Skeivalas, J. (2008). GPS tinklų teorija ir praktika [Theory and practice of GPS networks]. Vilnius: Technika. 288 p.
• Staszowska, A. (2020). Application of Biophilic Installations for Indoor Air Quality Improvement. Rocznik Ochrona Środowiska, 2, 716-726.
• STR 2.01.02:2016. Pastatų energinio naudingumo projektavimas ir sertifikavimas. (Design and certification of energy performance of buildings). Vilnius, 2016.
• Traumann, A., Tint, P. (2014). Qualitative and quantitative determination of chemicals and dust in the air of the work environment. In: Environmental Engineering. Proceedings of the International Conference on Environmental Engineering. ICEE (Vol. 9). Vilnius Gediminas Technical University, Department of Construction Economics & Property. 1-10.
• Zorpas, A.A, Skouroupatis, A. (2015). Indoor air quality evaluation of two museums in a subtropical climate conditions. Sustainable Cities and Society, 20, 52-60. https://doi.org/10.1016/j.scs.2015.10.002