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Life Cycle Assessment (LCA) of Light-Weight Eco-composites (e-bog) af Guo, Miao
Guo, Miao

Life Cycle Assessment (LCA) of Light-Weight Eco-composites e-bog

875,33 DKK
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 mod…
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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Forfattere Guo, Miao (forfatter)
Forlag Springer
Udgivet 11.01.2013
Genrer PNC
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783642350375

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.