Rocznik Ochrona Środowiska 2024, vol. 26, pp. 658-671


Dainius Paliulis This email address is being protected from spambots. You need JavaScript enabled to view it., Raimondas Grubliauskas 

Vilnius Gediminas Technical University, Lithuania
This email address is being protected from spambots. You need JavaScript enabled to view it.
https://doi.org/10.54740/ros.2024.057

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.

 

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

 

AMA Style
Paliulis D, Grubliauskas R. The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions. Rocznik Ochrona Środowiska. 2024; 26. https://doi.org/10.54740/ros.2024.057

ACM Style
Paliulis, D., Grubliauskas, R. 2024. The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions. Rocznik Ochrona Środowiska. 26. DOI:https://doi.org/10.54740/ros.2024.057

ACS Style
Paliulis, D.; Grubliauskas, R. The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions Rocznik Ochrona Środowiska 2024, 26, 658-671. https://doi.org/10.54740/ros.2024.057

APA Style
Paliulis, D., Grubliauskas, R. (2024). The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions. Rocznik Ochrona Środowiska, 26, 658-671. https://doi.org/10.54740/ros.2024.057

ABNT Style
PALIULIS, D.; GRUBLIAUSKAS, R. The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions. Rocznik Ochrona Środowiska, v. 26, p. 658-671, 2024. https://doi.org/10.54740/ros.2024.057

Chicago Style
Paliulis, Dainius, Grubliauskas, Raimondas. 2024. "The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions". Rocznik Ochrona Środowiska 26, 658-671. https://doi.org/10.54740/ros.2024.057

Harvard Style
Paliulis, D., Grubliauskas, R. (2024) "The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions", Rocznik Ochrona Środowiska, 26, pp. 658-671. doi:https://doi.org/10.54740/ros.2024.057

IEEE Style
D. Paliulis, R. Grubliauskas, "The Analysis of Parameters Affecting Indoor Air Pollution and Noise Levels Under the Applied Theory of Covariance Functions", RoczOchrSrod, vol 26, pp. 658-671. https://doi.org/10.54740/ros.2024.057