development of a modeling approach to estimate indoor-to-outdoor sulfur ratios and predict indoor pm 2.5 and black carbon concentrations for eastern massachusetts households - air purifier

The impact of indoor air pollution on human health is becoming increasingly of concern to the scientific community, as individuals spend most of their time indoors.
Indoor air sampling, however, is manual.
This limits the ability to study adverse health effects associated with indoor air pollutants.
To overcome this challenge, many researchers have tried to predict indoor exposure based on outdoor pollutant concentrations, household features, and weather parameters.
Typically, these models require knowledge of the permeability coefficient, which indicates the proportion of the environmental particles that penetrate into the chamber.
For estimating fine indoor particles (PM2. 5)
Exposure, a common method is to use indoorto-
Outdoor sulfur ratio (
Outdoor/outdoor)
Acting as an agent for the coefficient of penetration.
The aim of this study was to develop a robust model to estimate Sindoor/Soutdoor for a single family that could be incorporated into the model for predicting indoor pm2. 5.
5 and black carbon (BC)concentrations.
Overall, our model fully estimates Sindoor/Soutdoorof-sample by home-season R2 of 0. 89.
It is estimated that Sindoor/Soutdoor reflects the behavior affecting the penetration of particles, including the opening of windows, forced air heating and the use of air purifiers. Sulfur ratio-
The adjusted model predicts indoor pm2.
5 and BC, high precision, with out-of-
The sample R2 value is 0. 79 and 0.
76 respectively.