Life Cycle Assessment (LCA) of Light-Weight Eco-composites Softcover reprint of the original 1st ed. 2012 Edition

Life Cycle Assessment (LCA) of Light-Weight Eco-composites Softcover reprint of the original 1st ed. 2012 Edition book cover

Life Cycle Assessment (LCA) of Light-Weight Eco-composites Softcover reprint of the original 1st ed. 2012 Edition

Author(s): Miao Guo (Author)

  • Publisher: Springer
  • Publication Date: 23 Aug. 2016
  • Edition: Softcover reprint of the original 1st ed. 2012
  • Language: English
  • Print length: 422 pages
  • ISBN-10: 3662512114
  • ISBN-13: 9783662512111

Book Description

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.

Editorial Reviews

From the Back Cover

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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