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Updated: Jul 18, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Integration of life cycle assessment and system dynamics modeling for environmental scenario analysis: A systematic
Yanqing Yi1, Junzhang Wu2, Filippo Zuliani1
1DICEA, Department of Civil, Environmental and Architecture Engineering, University of Padua, Via Marzolo 9, 35131 Padova, Italy; CESQA, Department of Civil, Environmental and Architecture Engineering, University of Padua, Via Marzolo 9, 35131 Padova, Italy.
Abstract:
System dynamics (SD) is widely recognized as a tool for simulating spatial and temporal dynamics in life cycle assessment (LCA) studies of the product system. However, there is no agreement on how SD and LCA could be applied effectively together in a consistent way. To address this gap, this research conducted a systematic literature review, analyzing 54 scientific articles published worldwide between 2010 and 2023, to explore the joint application of LCA with SD. The study aimed to answer three research questions: (1) What can be considered an integration of LCA and SD? (2) How can SD and LCA be effectively integrated? and (3)What are the advantages and constraints of this integration? The results highlighted the popularity of LCA and SD as impact assessment tools for sustainable design, each with its own strengths and limitations. Two primary integration types were identified when LCA was jointly applied with SD: (1) inclusion of the life cycle inventory and characterization factors in an SD model, and (2) inclusion of SD model results in an LCA. In the second type of integration, SD models the components of the technical system, and its outcomes served as input for scenario analysis, providing temporal and potentially spatial inventory data for the LCA model. The integrated approach offers a comprehensive understanding of product sustainability, aids decision-making, and enhances stakeholder engagement. The study also identifies knowledge gaps in the joint application of SD and LCA for environmental scenario analysis, suggesting the incorporation of optimization tools and strategy guidance for policy makers.
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