Indoor pm2.5 concentrations of pre-schools; determining the effective factors and model for prediction

Baharfar, Y; Mohammadyan, M; Moattar, F; Nassiri, P and Behzadi, M H (2022) Indoor pm2.5 concentrations of pre-schools; determining the effective factors and model for prediction. Smart and Sustainable Built Environment, 11(4), pp. 1042-1059. ISSN 2046-6099

Abstract

Purpose: This paper aims to present the most influential factors on classroom indoor PM2.5 (Particulate Matter < 2.5 µ), determining the level of PM2.5 concentration in five pre-schools located in the most densely populated district of the Tehran metropolitan area (district 6) as a case study to consider the children's exposure to air pollutants and introducing a suitable model, for the first time, to predict PM2.5 concentration changes, inside pre-schools. Design/methodology/approach: Indoor and outdoor classes PM2.5 concentrations were measured using two DUSTTRAK direct-reading instruments. Additional class status information was also recorded; concurrently, urban PM2.5 concentrations and meteorological data were obtained from the fixed monitoring stations and Meteorological Organization. Then, the predicted concentrations of the indoor PM2.5, from introduced multiple linear regression model via SPSS, compared with the nearest urban air pollution monitoring stations data. Findings: The average outdoor PM2.5 concentration (43 ± 0.32 µg m−3) was higher than the mean indoor (32 ± 0. 21 µg m−3), and both were significantly (p < 0.001) surpassing the 24-h EPA standard level. The indoor PM2.5 concentrations had the highest level in the autumn (48.7 µg m−3) and significantly correlated with the outdoor PM2.5 (r = 0.94, p < 0.001), the number of pupils, ambient temperature, wind speed, wind direction and open area of the doors and windows (p < 0.001). These parameters, as the main determinants, have led to present a 7-variable regression model, with R2 = 0.705, which can predict PM2.5 concentrations in the pre-school classes with more than 80% accuracy. It can be presumed that the penetration of outdoor PM2.5 was the main source of indoor PM2.5 concentrations. Research limitations/implications: This study faced several limitations, such as accessibility to classrooms, and limitations in technicians' numbers, leading to researchers monitoring indoor and outdoor PM concentrations in schools once a week. Additionally, regarding logistical limitations to using monitoring instruments in pre-schools simultaneously, correction factors by running the instruments were applied to obtain comparable measurements. Originality/value: The author hereby declares that this submission is his own work and to the best of its knowledge it contains no materials previously published or written by another person.

Item Type: Article
Uncontrolled Keywords: classroom pollution; indoor air pollution; pm<sub>2.5</sub>; pre-schools; Tehran air quality
Index terms: influential factor, classroom, methodology, window, pollutant, exposure, air pollution, wind speed, accuracy, particulate, ambient temperature, air quality, monitoring, determinant, penetration, indoor air pollution, accessibility, regression model, pollution, meteorological data, case study, pupil, children, Tehran
Subjects: environmental engineering, statistical analysis, environmental health, market analysis, demography, sociology, Geography, professional development, architectural elements, inclusive design, research methods, public and environmental health, environmental science, control systems, climate science, construction type, risk assessment, data collection methods
Topics: Urban Studies, Design Practice, Site Management, Health and Safety, Engineering Principles, Information Management, Research Practice, Geographical Context, Risk Management, Stakeholder Management, Sustainability, Construction Technology
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here