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Ambiguities in Decision-oriented Life Cycle Inventories

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Cover of 'Ambiguities in Decision-oriented Life Cycle Inventories'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 LCA as Method and its Modelling Characteristics
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    Chapter 3 Requirements of LCIs in Product Design-Related Decision-Making
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    Chapter 4 Introduction
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    Chapter 5 Analysis of ISO 14041 for Mental Models and Values
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    Chapter 6 Allocation Procedures for Open-Loop Recycling
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    Chapter 7 The Decision-Maker’s Mental Models and Values in Inventory Analysis
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    Chapter 8 Introduction
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    Chapter 9 Material and Market Characteristics of Aluminium
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    Chapter 10 Development of the Value-Corrected Substitution for Aluminium Windows
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    Chapter 11 Selected Allocation Procedures for Comparison
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    Chapter 12 Application in an LCA of Aluminium Windows
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    Chapter 13 Methodological Conclusions
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    Chapter 14 Introduction
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    Chapter 15 Material and Market Characteristics of Wood
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    Chapter 16 Sustainable Wood Flow Management
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    Chapter 17 Wood Processing Chain and Attribution in LCA
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    Chapter 18 Modelling End-of-Life Options of Beech Wood Railway Sleepers
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    Chapter 19 Conclusions
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    Chapter 20 Review of the Theses
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    Chapter 21 Consequences for LCA as a Decision Support Tool
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    Chapter 22 Consequences for a Revision of ISO/EN 14041
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    Chapter 23 Toward a Group-Model Building Process in LCA
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    Chapter 24 Future Research Needs
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Title
Ambiguities in Decision-oriented Life Cycle Inventories
Published by
Springer Science & Business Media, January 2005
DOI 10.1007/1-4020-3254-4
ISBNs
978-1-4020-3253-0, 978-1-4020-3254-7, 978-9-04-816824-8
Authors

Werner, Frank

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 8%
United States 2 8%
Sweden 2 8%
Denmark 1 4%
Unknown 17 71%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Student > Doctoral Student 3 13%
Professor 3 13%
Researcher 3 13%
Student > Master 3 13%
Other 4 17%
Unknown 3 13%
Readers by discipline Count As %
Environmental Science 7 29%
Engineering 5 21%
Chemical Engineering 2 8%
Business, Management and Accounting 1 4%
Energy 1 4%
Other 3 13%
Unknown 5 21%