Evaluating well-mixed room and near-field-far-field model performance under highly controlled conditions.

ABSTRACT: Exposure judgments made without personal exposure data and based instead on subjective inputs tend to underestimate exposure, with exposure judgment accuracy not significantly more accurate than random chance. Therefore, objective inputs that contribute to more accurate decision making are needed. Models have been shown anecdotally to be useful in accurately predicting exposure but their use in occupational hygiene has been limited. This may be attributable to a general lack of guidance on model selection and use and scant model input data. The lack of systematic evaluation of the models is also an important factor. This research addresses the need to systematically evaluate two widely applicable models, the Well-Mixed Room (WMR) and Near-Field-Far-Field (NF-FF) models. The evaluation, con

SUBMITTER: Arnold SF 

PROVIDER: S-EPMC11249608 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature