The purpose of this study is to collect indoor air quality data for sulfur dioxide (SO
2), suspended particulate matter (SPM), nitrogen dioxide (NO2), nitrogen monoxide (NO), carbon monoxide (CO), carbon dioxide (CO
2) and formaldehyde (HCHO), and investigate the relationship between indoor air pollutants and environmental factors (heating, ventilation, temperature and humidity) using multiple regression analysis.
The survey was carried out five times at the same private house during the period of 10 days each in the winter seasons of 1984-1985. A kerosene fan he ater, kerosene heater, gas heater and forced flue type heater using gas were used as heating apparatus during the period in this survey.
The results are as follows:
Maxima of one hour average values of these pollutants were 0.028 ppm (SO2), 120 μg/ m
3 (SPM), 0.275 ppm (NO
2), over 0.5 ppm (NO), 21.0 ppm (CO), over 5, 000 ppm (CO
2) and 0.082 ppm (HCHO), respectively.
Maxima of daily average values of these pollutants were 0.012 ppm (SO2), 68 μg/m3 (SPM), 0.062 ppm (NO
2), 0.264 ppm (NO), 5.0 ppm (CO), 2, 339 ppm (CO2) and 0.047 ppm (HCHO), respectively.
Four linear multiple regression equations with 6 descriptors were formulated for NO
2 and HCHO.
Six descriptors were the amount of time the heater was used, the amount of time the ventilation was performed, the amount of time the gas range was used, the am ount of time the window remained open, room temperature and room humidity.
The high correlation was found between NO
2 and kerosene heater, kerosene fan heater and gas heater, but was not found between NO
2 and forced flue type heater using gas, and was found between HCHO and four kinds of heaters.
These equations were employed to predict the concentrations of NO
2 and HCHO, and the results were satisfactory.
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