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Life Cycle Assessment (LCA) of Light-Weight Eco-composites [electronic resource] / by Miao Guo.

Por: Tipo de material: TextoTextoSeries Springer Theses, Recognizing Outstanding Ph.D. Research | Springer Theses, Recognizing Outstanding Ph.D. ResearchEditor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Descripción: XVIII, 404 p. 157 illus., 145 illus. in color. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783642350375
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 541.2254 23
Clasificación LoC:
  • QD380-388
Recursos en línea:
Contenidos:
Springer eBooksResumen: Miao Guo's PhD thesis provides scientific insights into the environmental issues related to biocomposites based on starch-polyvinyl alcohol (PVOH) blends. The author contributes significantly to the methodological issues underlying the Life Cycle Assessment (LCA) modelling approach. As well as presenting complete LCA inventories using primary data from a variety of sources, Guo develops a new modelling approach incorporating the process-oriented biogeochemistry model Denitrification-Decomposition (DNDC) into site-specific LCA studies to simulate carbon and nitrogen dynamics in the wheat agro-ecosystem. This thesis addresses important LCA data quality issues by using comprehensive sensitivity and uncertainty analyses and has resulted in a large number of publications in internationally renowned journals.
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Materials and Methods -- LCA of Wheat Agro-Eco-Systems -- LCA Case Studies of Starch-Based Foam -- End of Life Scenarios -- LCA of WBF Products Over Whole Life Cycles -- Sensitivity and Uncertainty Analysis.

Miao Guo's PhD thesis provides scientific insights into the environmental issues related to biocomposites based on starch-polyvinyl alcohol (PVOH) blends. The author contributes significantly to the methodological issues underlying the Life Cycle Assessment (LCA) modelling approach. As well as presenting complete LCA inventories using primary data from a variety of sources, Guo develops a new modelling approach incorporating the process-oriented biogeochemistry model Denitrification-Decomposition (DNDC) into site-specific LCA studies to simulate carbon and nitrogen dynamics in the wheat agro-ecosystem. This thesis addresses important LCA data quality issues by using comprehensive sensitivity and uncertainty analyses and has resulted in a large number of publications in internationally renowned journals.

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