Hybrid Framework for Managing Uncertainty in Life Cycle Inventories.

The writers review past efforts to manage uncertainty and present a hybrid approach that combines process and economic input-output approaches to uncertainty analysis of life cycle inventories (LCI). The writers explain that different categories of uncertainty, though sometimes incompatible with an...

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Publicado en:Journal of Industrial Ecology Vol. 13; no. 6; pp. 928 - 945
Autores principales: Williams, Eric D., Weber, Christopher L., Hawkins, Troy R.
Formato: Artículo
Publicado: Wiley-Blackwell December 2009
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Hybrid Framework for Managing Uncertainty in Life Cycle Inventories.
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          Williams, Eric D.
          Weber, Christopher L.
          Hawkins, Troy R.
      su:
        Industrial ecology
        Product life cycle assessment
        Input-output analysis
      sug:
        subj:
          Industrial ecology
          Product life cycle assessment
          Input-output analysis
      ab: The writers review past efforts to manage uncertainty and present a hybrid approach that combines process and economic input-output approaches to uncertainty analysis of life cycle inventories (LCI). The writers explain that different categories of uncertainty, though sometimes incompatible with analysis within a given model framework, can be estimated from another perspective. They outline a categorization of uncertainty types—data, cutoff, aggregation, temporal, geographic—and discuss methods for evaluation, particularly for assessing temporal uncertainty. The writers advance a long-term vision for LCI in which different uncertainty types are quantitatively estimated via hybrid methods and then reduced through an iterative refinement of the hybrid LCI method.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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