Impact assessment of abiotic resources in LCA: quantitative comparison of selected characterization models.

摘要: Resources have received significant attention in recent years resulting development of a wide range resource depletion indicators within life cycle assessment (LCA). Understanding the differences principles used to derive these and effects on impact results is critical for indicator selection interpretation results. Eleven methods were evaluated quantitatively with respect coverage, characterization factors (CF), contributions from individual resources, total scores. We included 2247 market inventory data sets covering societal activities (ecoinvent database v3.0). Log-linear regression analysis was carried out all pairwise combinations 11 identification correlations CFs (resources) impacts (inventory sets) between methods. Significant coverage observed (9-73 resources) revealing trade-off model complexity. High correlation did not necessarily manifest high impacts. This indicates that also may be Although no consistent applying similar models could observed, showed relatively regarding energy resources. Finally, we classify existing into three groups, according method focus modeling approach, aid LCA.