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PREDICTION AND EVALUATION OF DIETARY MODEL ON ARSENIC EXPOSURES USING THE SHEDS MODEL
Citation:
XUE, J., V. G. ZARTARIAN, AND H. A. OZKAYNAK. PREDICTION AND EVALUATION OF DIETARY MODEL ON ARSENIC EXPOSURES USING THE SHEDS MODEL. Presented at ISEA/ISEE 2006, Paris, FRANCE, September 02 - 06, 2006.
Impact/Purpose:
The overall goal of this task is to evaluate, refine, and disseminate a peer-reviewed state-of-the science probabilistic model for improving estimates of human exposure and dose to multimedia, multipathway pollutants. The primary objectives of this research are the following:
Evaluate and refine the dietary (food and drinking water) exposure module and incorporate it into the SHEDS-Multimedia code.
Evaluate and refine the residential fugacity-based source-to-concentration module and incorporate it into the SHEDS-Multimedia code.
Improve the simulation of longitudinal exposure.
Develop and evaluate procedures for modeling multiple pollutants simultaneously.
Complete the SHEDS-Multimedia version 3 (aggregate) model with interface and documentation; evaluate with available data sets.
Peer review, publish, and make available the SHEDS-Multimedia model and model components.
Description:
Arsenic (As) is one of the important environmental contaminants with many documented health hazards. Dietary intake is one of the most important exposure pathways for arsenic.