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Springer - The Computational Structure of Life Cycle Assessment

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Description

Life Cycle Assessment (LCA) serves as a vital tool for environmental decision-support, tracking products from cradle to grave. While much focus has historically been placed on quantitative models, databases, and application guidebooks, there has been a significant gap in addressing the integrative aspect of combining these elements. This book addresses that gap by focusing on the mathematical rules and algorithmic principles required to manage the thousands of quantitative data items involved in a practical LCA. By providing a framework for combining models and data correctly, this work offers a necessary foundation for professionals and researchers working in environmental science and industrial eco-efficiency. It moves beyond simple data collection to explore the computational methods needed to make LCA a more effective and integrated practice.

Key Features

Provides mathematical rules and algorithmic principles for carrying out Life Cycle Assessments accurately.

Addresses the integration of quantitative models and databases for better environmental decision-support.

Explores the computational methods required to manage thousands of data items in practical LCA applications.

Focuses on the transition from simple data collection to complex, integrative environmental modeling.

Part of the Eco-Efficiency in Industry and Science series, volume 11, published by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
10 April 2011
Listed Since
28 June 2010

Barcode

No barcode data available

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