Predicting indoor pollutant concentrations, and applications to air quality management

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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. Indoor air quality depends not only on outdoor air quality, but also on the design, maintenance, and use of the building. For example, ''sick building'' symptoms ... continued below

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4 pages

Creation Information

Lorenzetti, David M. October 1, 2002.

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Description

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. Indoor air quality depends not only on outdoor air quality, but also on the design, maintenance, and use of the building. For example, ''sick building'' symptoms such as respiratory problems and headaches have been related to the presence of air-conditioning systems, to carpeting, to low ventilation rates, and to high occupant density (1). The physical processes of interest apply even in simple structures such as homes. Indoor air quality models simulate the processes, such as ventilation and filtration, that control pollutant concentrations in a building. Section 2 describes the modeling approach, and the important transport processes in buildings. Because advection usually dominates among the transport processes, Sections 3 and 4 describe methods for predicting airflows. The concluding section summarizes the application of these models.

Physical Description

4 pages

Notes

OSTI as DE00816066

Source

  • Role of Human Exposure Assessment in Quality Management Joint WHO-JRC-ECA Workshop, Bonn (DE), 10/14/2002--10/15/2002

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  • Report No.: LBNL--51582
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 816066
  • Archival Resource Key: ark:/67531/metadc735671

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  • October 1, 2002

Added to The UNT Digital Library

  • Oct. 18, 2015, 6:40 p.m.

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  • April 4, 2016, 3:33 p.m.

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Lorenzetti, David M. Predicting indoor pollutant concentrations, and applications to air quality management, article, October 1, 2002; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc735671/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.