Evaluation of the exposure prediction component of Control of Substances Hazardous to Health Essentials
| Autor: | Leshan J. Kimbrough, R. Kent Oestenstad, T. Mark Beasley |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Inhalation Exposure
Controlled Substances Control banding Control (management) Public Health Environmental and Occupational Health Paper version External validation 010501 environmental sciences 030210 environmental & occupational health 01 natural sciences Reliability engineering 03 medical and health sciences 0302 clinical medicine Hazardous waste Occupational Exposure Component (UML) Linear Models Humans Environmental science 0105 earth and related environmental sciences |
| Zdroj: | Journal of Occupational and Environmental Hygiene. 17:97-108 |
| ISSN: | 1545-9632 1545-9624 |
| DOI: | 10.1080/15459624.2020.1717501 |
| Popis: | The exposure prediction component of the Control of Substances Hazardous to Health (COSHH) Essentials model (paper version) was evaluated using field measurements from National Institute of Occupational Safety and Health (NIOSH) Health Hazard Evaluation (HHE) reports. Overall 757 measured exposures for 94 similar exposure groups (SEGs) were compared with the COSHH Essentials predicted exposure range (PER). The SEGs were stratified based on the magnitude of measured exposures (high, medium, or low) and physical state of the substance (vapor or particulate). The majority of measured exposures observed involved low-level exposure to vapors; thus, overall findings from the current study are limited to low-level vapor exposure scenarios. Overall, the exposure prediction component of COSHH Essentials vastly overestimated low-level exposures to vapors. This study went beyond the scope of previous studies and investigated which model components led to the overestimation. It was concluded that COSHH Essential's tendency to overestimate was due to multiple complex interactions among model components. Overall, the magnitude of overestimation seems to increase exponentially as values for predictor variables increase. This is likely due to the log-based scale used by the model to allocate concentration ranges. In addition, the current banding scheme used to allocate volatility appears to play a role in the overestimation of low-level exposures to vapors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|