Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6314103 | Environment International | 2014 | 8 Pages |
Abstract
The modeling framework is validated using weeklong time-activity diaries and BC exposure as revealed from a personal monitoring campaign with 62 participants. For each participant in the monitoring campaign, a synthetic population of 100 model-agents per day was made up with all agents meeting similar preconditions as each real-life agent. When these model-agents pass through every stage of the modeling framework, it results in a distribution of potential exposures for each individual. The AB2C model estimates average personal exposure slightly more accurately compared to ambient concentrations as predicted for the home subzone; however the added value of a dynamic model lies in the potential for detecting short term peak exposures rather than modeling average exposures. The latter may bring new opportunities to epidemiologists: studying the effect of frequently repeated but short exposure peaks on long term exposure and health.
Keywords
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Environmental Science
Environmental Chemistry
Authors
Evi Dons, Martine Van Poppel, Bruno Kochan, Geert Wets, Luc Int Panis,