Predicting Indoor Pollutant Concentrations, and Applications to Air Quality Management

نویسنده

  • David M. Lorenzetti
چکیده

Because most people spend more than 90% of their time indoors, predicting exposure to airborne pollutants requires models that incorporate the effect of buildings. Buildings affect the exposure of their occupants in a number of ways, both by design (for example, filters in ventilation systems remove particles) and incidentally (for example, sorption on walls can reduce peak concentrations, but prolong exposure to semivolatile organic compounds). Furthermore, building materials and occupant activities can generate pollutants.

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تاریخ انتشار 2003