How Many Environmental Impact Indicators Are Needed in the Evaluation of Product Life Cycles?

Zoran J.N. Steinmann (Corresponding author), Aafke M. Schipper, Mara Hauck, Mark A.J. Huijbregts

Research output: Contribution to journalArticleAcademicpeer-review

97 Citations (Scopus)

Abstract

Numerous indicators are currently available for environmental impact assessments, especially in the field of Life Cycle Impact Assessment (LCIA). Because decision-making on the basis of hundreds of indicators simultaneously is unfeasible, a nonredundant key set of indicators representative of the overall environmental impact is needed. We aimed to find such a nonredundant set of indicators based on their mutual correlations. We have used Principal Component Analysis (PCA) in combination with an optimization algorithm to find an optimal set of indicators out of 135 impact indicators calculated for 976 products from the ecoinvent database. The first four principal components covered 92% of the variance in product rankings, showing the potential for indicator reduction. The same amount of variance (92%) could be covered by a minimal set of six indicators, related to climate change, ozone depletion, the combined effects of acidification and eutrophication, terrestrial ecotoxicity, marine ecotoxicity, and land use. In comparison, four commonly used resource footprints (energy, water, land, materials) together accounted for 84% of the variance in product rankings. We conclude that the plethora of environmental indicators can be reduced to a small key set, representing the major part of the variation in environmental impacts between product life cycles. (Figure Presented).

Original languageEnglish
Pages (from-to)3913-3919
Number of pages7
JournalEnvironmental Science & Technology
Volume50
Issue number7
DOIs
Publication statusPublished - 5 Apr 2016
Externally publishedYes

Bibliographical note

Funding Information:
This project was funded by the European Commission via the WP7 project Desire: number 308552.

Publisher Copyright:
© 2016 American Chemical Society.

Funding

This project was funded by the European Commission via the WP7 project Desire: number 308552.

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