TY - JOUR
T1 - LC-IMPACT: A regionalized life cycle damage assessment method
AU - Verones, Francesca
AU - Hellweg, Stefanie
AU - Anton, Assumpcio
AU - Azevedo, Ligia B.
AU - Chaudhary, Abhishek
AU - Cosme, Nuno
AU - Cucurachi, Stefano
AU - de Baan, Laura
AU - Dong, Yan
AU - Fantke, Peter
AU - Golsteijn, Laura
AU - Hauschild, Michael
AU - Heijungs, Reinout
AU - Jolliet, Olivier
AU - Juraske, Ronnie
AU - Larsen, Henrik
AU - Laurent, Alexis
AU - Mutel, Christopher L.
AU - Margni, Manuele
AU - Nunez, Montserrat
AU - Owsianiak, Mikolaj
AU - Pfister, Stephan
AU - Ponsioen, Tommie
AU - Preiss, Philipp
AU - Rosenbaum, Ralph K.
AU - Roy, Pierre-Olivier
AU - Sala, Serenella
AU - Steinmann, Zoran
AU - van Zelm, Rosalie
AU - Van Dingenen, Rita
AU - Vieira, Marisa
AU - Huijbregts, Mark A. J.
PY - 2020/12
Y1 - 2020/12
N2 - Life cycle impact assessment (LCIA) is a lively field of research, and data and models are continuously improved in terms of impact pathways covered, reliability, and spatial detail. However, many of these advancements are scattered throughout the scientific literature, making it difficult for practitioners to apply the new models. Here, we present the LC-IMPACT method that provides characterization factors at the damage level for 11 impact categories related to three areas of protection (human health, ecosystem quality, natural resources). Human health damage is quantified as disability adjusted life years, damage to ecosystem quality as global species extinction equivalents (based on potentially disappeared fraction of species), and damage to mineral resources as kilogram of extra ore extracted. Seven of the impact categories include spatial differentiation at various levels of spatial scale. The influence of value choices related to the time horizon and the level of scientific evidence of the impacts considered is quantified with four distinct sets of characterization factors. We demonstrate the applicability of the proposed method with an illustrative life cycle assessment example of different fuel options in Europe (petrol or biofuel). Differences between generic and regionalized impacts vary up to two orders of magnitude for some of the selected impact categories, highlighting the importance of spatial detail in LCIA. This article met the requirements for a gold – gold JIE data openness badge described at http://jie.click/badges.
AB - Life cycle impact assessment (LCIA) is a lively field of research, and data and models are continuously improved in terms of impact pathways covered, reliability, and spatial detail. However, many of these advancements are scattered throughout the scientific literature, making it difficult for practitioners to apply the new models. Here, we present the LC-IMPACT method that provides characterization factors at the damage level for 11 impact categories related to three areas of protection (human health, ecosystem quality, natural resources). Human health damage is quantified as disability adjusted life years, damage to ecosystem quality as global species extinction equivalents (based on potentially disappeared fraction of species), and damage to mineral resources as kilogram of extra ore extracted. Seven of the impact categories include spatial differentiation at various levels of spatial scale. The influence of value choices related to the time horizon and the level of scientific evidence of the impacts considered is quantified with four distinct sets of characterization factors. We demonstrate the applicability of the proposed method with an illustrative life cycle assessment example of different fuel options in Europe (petrol or biofuel). Differences between generic and regionalized impacts vary up to two orders of magnitude for some of the selected impact categories, highlighting the importance of spatial detail in LCIA. This article met the requirements for a gold – gold JIE data openness badge described at http://jie.click/badges.
KW - disability adjusted life years
KW - global extinction risk
KW - industrial ecology
KW - kilogram ore extracted
KW - potentially disappeared fraction of species
KW - spatial differentiation
UR - https://www.scopus.com/pages/publications/85084996216
UR - https://www.scopus.com/inward/citedby.url?scp=85084996216&partnerID=8YFLogxK
U2 - 10.1111/jiec.13018
DO - 10.1111/jiec.13018
M3 - Article
SN - 1088-1980
VL - 24
SP - 1201
EP - 1219
JO - Journal of Industrial Ecology
JF - Journal of Industrial Ecology
IS - 6
ER -