Mathematical Insights into Indoor Air Quality and Pollutants Behavior

Abstract

Air pollution is a key threat to human life as we spend about 90% of time in indoor. Mathematical analysis is a tool to analyze and predict air quality and its distribution. This paper investigates the air pollution dynamics in room, focusing on their impact on indoor air quality. We have explored the role of the air pollutants to affect the indoor air quality of the room. In two sets of environment, we observed and compared the correlation among particular matters of size 1, 2.5 and 10 microns; PM₁, PM_2.5, PM₁₀ and AQIUS. It is observed that PM₁ and PM_2.5 have high impact on AQI with correlation coefficient 0.99 and 1 respectively whereas PM₁₀ has less than that of them with correlation coefficients 0.97. This study leads to a recommendation to policy makers and users to focus more in reducing the PM_2.5 concentrations by identifying sources and using suitable technologies.