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Springer Computational Structure of Life Cycle Assessment - Springer

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Description

Life Cycle Assessment is an essential environmental decision-support tool for evaluating products from cradle to grave, yet its practical application requires sophisticated integration of thousands of quantitative data items and complex models. This Springer publication addresses a critical gap in LCA methodology by focusing on the mathematical rules and algorithmic principles necessary to combine environmental databases and quantitative models correctly. Rather than emphasising guidebooks and isolated datasets, this work presents the integrative computational foundations that enable practitioners to apply LCA rigorously in real-world scenarios. Essential for environmental professionals, researchers, and organisations seeking to understand how to structure and execute comprehensive lifecycle assessments that yield reliable, actionable environmental insights.

Key Features

Focuses on mathematical rules and algorithmic principles for conducting accurate Life Cycle Assessment studies.

Addresses the integration of thousands of quantitative data items required in practical LCA applications.

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

Provides computational methodology rather than guidebook approach to environmental decision-support tools.

Enables correct combination of environmental databases and quantitative models for reliable LCA outcomes.

Product Specifications

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

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