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...
| Publicado en: | Journal of Industrial Ecology Vol. 13; no. 6; pp. 928 - 945 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Wiley-Blackwell
December 2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511460797&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511460797 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10881980 FL1 jtl: Journal of Industrial Ecology issn: 10881980 maglogo: N pubinfo: dt: December 2009 vid: 13 iid: 6 pid: 480 pub: Wiley-Blackwell artinfo: ui: 511460797 10.1111/j.1530-9290.2009.00170.x ppf: 928 ppct: 17 formats: tig: atl: Hybrid Framework for Managing Uncertainty in Life Cycle Inventories. aug: au: 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 src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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