LCA data quality: sensitivity and uncertainty analysis.

@article{Guo2012LCADQ,
  title={LCA data quality: sensitivity and uncertainty analysis.},
  author={Miao Guo and Richard J. Murphy},
  journal={The Science of the total environment},
  year={2012},
  volume={435-436},
  pages={230-43}
}
Life cycle assessment (LCA) data quality issues were investigated by using case studies on products from starch-polyvinyl alcohol based biopolymers and petrochemical alternatives. The time horizon chosen for the characterization models was shown to be an important sensitive parameter for the environmental profiles of all the polymers. In the global warming potential and the toxicity potential categories the comparison between biopolymers and petrochemical counterparts altered as the time… CONTINUE READING

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