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INTEGRATING DISPERSION MODELING, RECEPTOR MODELING AND AIR MONITORING TO APPORTION INCINERATOR IMPACTS FOR EXPOSURE ASSESSMENT
Citation:
Ma, H., D. Fox, S. Mukerjee, R. Stevens, C. Shy, R. Kellogg, AND D. Stiles. INTEGRATING DISPERSION MODELING, RECEPTOR MODELING AND AIR MONITORING TO APPORTION INCINERATOR IMPACTS FOR EXPOSURE ASSESSMENT. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/A-94/095 (NTIS PB94190592), 1994.
Description:
An approach combining air quality measurements, GIS, receptor and dispersion modeling to apportion the impact of incinerator sources to individuals living in surrounding neighborhoods was presented. his technique wall applied to a Health and Clean Air Study investigating the respiratory effects of air emissions associated with 3 types of waste incinerators - biomedical and municipal waste combustors and a hazardous waste burning furnace. ix study communities were grouped in three pairs with one target community surrounding each waste incineration source and one community located a few miles distant as a control. uman subjects recorded their peak respiratory flow rate twice a day along with other information in a diary for 35 days/year. t an ambient monitoring site in each community, PM2.5, PM10, acid gases and trace metals were measured twice a day along with hourly wind speed and direction at a 10-meter tower. he pair of communities associated with the biomedical waste combustor were used in this paper. nformation about the source, meteorological conditions and location of households were combined in this investigation to establish an estimate of exposure for subjects in the study. ubjects and the monitoring site were physically gridded with a GIS system. he Industrial Source complex Short-Term Dispersion Model (ISCST2) and the Chemical Mass Balance Receptor Model (CMB) results were used to scale the impact of the biomedical combustor at subject locations in the study for each 12-hour sampling period. MB was used with the air quality data to determine the contribution of the source to the monitoring site. he dispersion modeling predictions were compared with CMB source contribution estimates to scale the dispersion modeling estimates at participant locations. he air quality assessment will be used to investigate relationships with peak flow measurements obtained from the participants located in the vicinity of the combustor.