Related Experiment Videos
Validation of multimedia models assessing exposure to PAHs--the SOLEX study
Frédéric Dor1, Pascal Empereur-Bissonnet, Denis Zmirou
1Institut de Veille Sanitaire, Saint-Maurice, France. f.dor@invs.sante.fr
Risk Analysis : an Official Publication of the Society for Risk Analysis
|September 13, 2003
Summary
This study validated soil pollutant exposure models by comparing predictions with urinary 1-hydroxypyrene (1-HOP) measurements in workers. CalTOX model predictions aligned well with actual 1-HOP levels, highlighting the need for model validation.
Area of Science:
- Environmental Health
- Toxicology
- Risk Assessment
Background:
- Polluted soils pose significant public health risks.
- Estimating population exposure to soil pollutants via multimedia models lacks validation.
- Studies validating these exposure models are critically scarce.
Purpose of the Study:
- To compare pyrene exposure predictions from four multimedia models against urinary 1-hydroxypyrene (1-HOP) measurements.
- To assess model performance in occupational settings at manufactured gas plant sites.
- To validate exposure estimations for environmental health risk assessment.
Main Methods:
- The SOLEX study involved 110 employees at three polluted manufactured gas plant sites.
- Four models (AERIS, CalTOX, CLEA, HESP) predicted pyrene exposure.
- Urinary 1-HOP assays measured actual exposure across different occupational scenarios and seasons.
Main Results:
- Model predictions varied significantly (7-80 times) based on exposure scenarios and models used.
- Predominant exposure routes differed: soil ingestion (HESP, CalTOX), inhalation (AERIS), dermal absorption (CLEA).
- CalTOX predictions closely matched 1-HOP measurements; HESP showed consistency in low-pyrene scenarios; AERIS and CLEA overestimated exposure.
Conclusions:
- Model validation using field data is essential for accurate exposure assessment.
- The study underscores the need to identify and analyze influential model components.
- Accurate soil pollutant exposure models are crucial for effective public health strategies.