SEDL / STP / STP1205-EB / STP13114S

Development of a Model for Indoor Air Pollutant Exposure Distributions

Koontz, MD
Manager, Indoor Air and Exposure Program, senior research scientist, and director, Indoor Environment Division, GEOMET Technologies, Inc., Germantown, MD

Evans, WC
Manager, Indoor Air and Exposure Program, senior research scientist, and director, Indoor Environment Division, GEOMET Technologies, Inc., Germantown, MD

Nagda, NL
Manager, Indoor Air and Exposure Program, senior research scientist, and director, Indoor Environment Division, GEOMET Technologies, Inc., Germantown, MD

Jenkins, PL
Manager, California Air Resources Board, Sacramento, CA

Pages: 9    Published: Jan 1993

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Abstract

A user-friendly computer model is being developed to estimate the distribution of Californians' indoor exposures to various pollutants. The model will be capable of operating at three levels. Level 1 will sum estimated inhalation exposures across multiple indoor locations to ultimately yield a population distribution of “total indoor air” exposures, that is, the portion of total (24-h) exposure associated with time spent indoors. Level 2 will link randomly selected location/activity profiles, collected in several California surveys, with measured or modeled concentration distributions, resulting in estimated exposure distributions for specific indoor locations such as residential environments. For each sampled location/activity profile, both time-integrated inhalation exposure and potential inhaled dose will be estimated. Level 3 will estimate concentration distributions for pollutants in locations for which measured concentrations are not available, based on the principle of conservation of mass. All information required for a model run will be supplied through a user interface. Options will be provided to save files relating to choices and inputs for a given run, so that all or selected parts of a run can be replicated. Providing this capability within Level 3 of the model will allow the user to make a series of related runs aimed at assessing the impact of one or more potential mitigation strategies.