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Parameter Uncertainty and Variability In Evaluative Fate and Exposure Models

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  • Edgar G. Hertwich
  • Thomas E. McKone
  • William S. Pease

Abstract

The human toxicity potential, a weighting scheme used to evaluate toxicemissions for life cycle assessment and toxics release inventories, is based on potential dose calculations and toxicity factors. This paper evaluatesthe variance in potential dose calculations that can be attributed to the uncertainty in chemical‐specific input parameters as well as the variabilit in exposure factors and landscape parameters. A knowledge of the uncertainty allows us to assess the robustness of a decision based on the toxicity potential; a knowledge of the sources of uncertainty allows us to focus our resources if we want to reduce the uncertainty. The potential dose of 236 chemicals was assessed. The chemicals were grouped by dominant exposure route, and a Monte Carlo analysis was conducted for one representative chemical in each group. The variance is typically one to two orders of magnitude. For comparison, the point estimates in potential dose for 236 chemicals span ten orders of magnitude. Most of the variance in the potential dose is due to chemical‐specific input parameters, especially half‐lives, although exposure factors such as fish intake and the source of drinking water can be important for chemicals whose dominant exposure is through indirect routes. Landscape characteristics are generally of minor importance.

Suggested Citation

  • Edgar G. Hertwich & Thomas E. McKone & William S. Pease, 1999. "Parameter Uncertainty and Variability In Evaluative Fate and Exposure Models," Risk Analysis, John Wiley & Sons, vol. 19(6), pages 1193-1204, December.
  • Handle: RePEc:wly:riskan:v:19:y:1999:i:6:p:1193-1204
    DOI: 10.1111/j.1539-6924.1999.tb01138.x
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    References listed on IDEAS

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    1. Kimberly M. Thompson & John S. Evans, 1997. "The Value of Improved National Exposure Information for Perchloroethylene (Perc): A Case Study for Dry Cleaners," Risk Analysis, John Wiley & Sons, vol. 17(2), pages 253-271, April.
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    1. S. Cucurachi & E. Borgonovo & R. Heijungs, 2016. "A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 357-377, February.
    2. Kai Lessmann & Andreas Beyer & Jörg Klasmeier & Michael Matthies, 2005. "Influence of Distributional Shape of Substance Parameters on Exposure Model Output," Risk Analysis, John Wiley & Sons, vol. 25(5), pages 1137-1145, October.
    3. Kathrin Fenner & Martin Scheringer & Konrad Hungerbühler, 2003. "Joint Persistence of Transformation Products in Chemicals Assessment: Case Studies and Uncertainty Analysis," Risk Analysis, John Wiley & Sons, vol. 23(1), pages 35-53, February.
    4. Deborah H. Bennett & Manuele D. Margni & Thomas E. McKone & Olivier Jolliet, 2002. "Intake Fraction for Multimedia Pollutants: A Tool for Life Cycle Analysis and Comparative Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 22(5), pages 905-918, October.
    5. Lorelei Ford & Lalita Bharadwaj & Lianne McLeod & Cheryl Waldner, 2017. "Human Health Risk Assessment Applied to Rural Populations Dependent on Unregulated Drinking Water Sources: A Scoping Review," IJERPH, MDPI, vol. 14(8), pages 1-22, July.

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