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Advisor(s)
Abstract(s)
In life cycle impact assessment (LCIA) models, the sorption of the ionic fraction of dissociating organic
chemicals is not adequately modeled because conventional non-polar partitioning models are applied.
Therefore, high uncertainties are expected when modeling the mobility, as well as the bioavailability for
uptake by exposed biota and degradation, of dissociating organic chemicals. Alternative regressions that
account for the ionized fraction of a molecule to estimate fate parameters were applied to the USEtox
model. The most sensitive model parameters in the estimation of ecotoxicological characterization factors
(CFs) of micropollutants were evaluated by Monte Carlo analysis in both the default USEtox model and
the alternative approach. Negligible differences of CFs values and 95% confidence limits between the two
approaches were estimated for direct emissions to the freshwater compartment; however the default
USEtox model overestimates CFs and the 95% confidence limits of basic compounds up to three orders
and four orders of magnitude, respectively, relatively to the alternative approach for emissions to the
agricultural soil compartment. For three emission scenarios, LCIA results show that the default USEtox
model overestimates freshwater ecotoxicity impacts for the emission scenarios to agricultural soil by one
order of magnitude, and larger confidence limits were estimated, relatively to the alternative approach.
Description
Keywords
USEtox LCA Freshwater ecotoxicity Micropollutants Dissociating organics Risk assessment
Citation
Publisher
Elsevier