Comparison of different life-cycle impact assessment methods for aquatic ecotoxicity

Autor(en): Schulze, C
Jodicke, A
Scheringer, M
Margni, M
Jolliet, O
Hungerbuhler, K
Matthies, M
Stichwörter: aquatic ecotoxicity; Environmental Sciences; Environmental Sciences & Ecology; EXPOSURE; exposure assessment; fate analysis; laundry detergents; life-cycle impact assessment; MULTIMEDIA FATE; RANGE; Toxicology
Erscheinungsdatum: 2001
Herausgeber: WILEY
Journal: ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY
Volumen: 20
Ausgabe: 9
Startseite: 2122
Seitenende: 2132
Zusammenfassung: 
Human and ecotoxicity impact categories are problematic to quantify within life-cycle impact assessment (LCIA) because their local scope makes them difficult to aggregate with the traditional global-impact categories used in life-cycle assessment (LCA). For being able to assess local impacts such as toxicity, LCIA developers increasingly include fate modeling into LCA. This article follows this development by comparing different LCIA methods for aquatic ecotoxicology and by investigating the importance of fate within LCIA, the necessity of considering freshwater and seawater compartments separately, and the key degradation and intermedia transfer processes involved. The methods are compared by assessing an example study of domestic clothes washing in former West Germany. Four LCIA methods are selected and applied to four substances emitted during the washing process. The conclusion is that the consideration of environmental fate does matter and that aquatic ecotoxic impacts can differ significantly for the same substance in freshwater and in marine ecosystems. The way (bio) degradation, photolysis, volatilization, and transfer from agricultural soils are considered plays an important role as do the system boundaries chosen. This means that the LCIA methodology should remain flexible so that appropriate methods can be chosen for different applications. Fate models being developed in the environmental risk assessment of chemicals can contribute to the further improvement of LCIA methods.
ISSN: 07307268
DOI: 10.1002/etc.5620200936

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