Related Experiment Videos
Variability in physical constant parameter values from standard data sources and the implication of this variability
1Eastman Kodak Company, Health, Safety and Environment, 1100 Ridgeway Avenue, Rochester, NY 14652-6253, USA. dale.marino@kodak.com
Summary
Physical property data crucial for environmental risk assessments show significant variability across sources. This inconsistency in values for parameters like water solubility and vapor pressure can impact risk estimates and management decisions.
Area of Science:
- Environmental Science
- Risk Assessment
- Chemical Properties
Background:
- Physical property values are essential for environmental risk assessments.
- Recent reports indicate considerable variability in these values.
- This variability can affect the accuracy of estimated concentrations and risk levels.
Purpose of the Study:
- To evaluate the variability of physical parameter values across multiple data sources.
- To assess the impact of this variability on environmental risk assessments.
- To identify which physical parameters exhibit the most significant discrepancies.
Main Methods:
- Selected 755 chemicals appearing in at least four of eight data sources.
- Analyzed nine key physical parameters: molecular weight, melting point, boiling point, vapor pressure, water solubility, Henry's law constant, octanol-water partition coefficient, and diffusion coefficients in air and water.
- Compared parameter values across sources and analyzed dispersion measures.
Main Results:
- While molecular weight was consistent (71% equal values), less than 3% of constituents had equivalent values for water solubility, vapor pressure, or Henry's law constant.
- Significant dissimilarity was observed between certain data sources.
- Parameters like octanol-water partition coefficient, vapor pressure, water solubility, and Henry's law constant showed considerable variation.
Conclusions:
- Considerable variability exists in physical parameter values from standard sources.
- This variability can significantly affect environmental risk estimates and potentially influence risk management decisions.
- The findings highlight the need for standardized data sources or methods to address data discrepancies.