Correlated model for indoor and outdoor air pollutants
- Tam-Kang Univ., Taipei (Taiwan, Province of China). Water Resource and Environmental Engineering Dept.
This study tries to correlate outdoor concentration of air pollutants with indoor data statistically and physically by means of on-site measurement. The authors measured concentrations of THC, NMHC, NO{sub x}, SO{sub 2} and O{sub 3} at two residential sites where were closed to a fossil industry area. An air sampling system was designed to alternately sample air from different locations, therefore they can obtain semi-simultaneously indoor and outdoor concentration of air pollutants. Four measurements were taken during a year period. The measured data were analyzed by means of statistical regression and were used to calibrate indoor decay constants in a mass balance physical model. The results of statistical regression show that indoor concentration of air pollutant is highly correlated with outdoor concentration and indoor concentration at one hour earlier rather than outdoor climate parameters such as wind speed, temperature and humidity. The results explained that outdoor concentration actually included factors of outdoor climate parameters implicitly. In physical model, they calibrated the indoor concentration decay constants in an indoor/outdoor mass conservation equation at various air exchange rates under different seasons and day/night conditions. The established statistical and physical models can be used to estimate indoor air quality from monitored or calculated outdoor data. With the proposed correlation models it becomes convenient to perform the overall indoor and outdoor air pollutants exposure and risk assessment.
- OSTI ID:
- 682207
- Report Number(s):
- CONF-980632--
- Country of Publication:
- United States
- Language:
- English
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