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Life cycle modeling for environmental management: a review of trends and linkages

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Abstract

With the dynamics in current industry-environment interaction, it has become essential to diagnose the impacts that one is leaving on the environment. The requirement of assessment has brought many changes in the analysis techniques and research methodologies. Life cycle assessment (LCA) is one such validated technique as a scientific tool in the diagnosis of environmental impacts with accuracy. Over the past few years, LCA has attracted more attention with different approaches and applications. But, there is a lack of efforts to review the LCA applications for environmental management. The aim of this study is to evaluate the trends and to address the evolution of linkages in the field of LCA modeling and environmental management. The review employs the PRISMA statement for systematic literature review amalgamated with a visualization technique using VoSviewer. The meta-analysis addressing the findings from the academic articles published until the end of May 2019 using the Scopus online database was considered. The study reveals a total of 23 eligible papers regarding LCA modeling and environmental management. Analysis of these articles and keyword visualization network depicts that most of the studies on LCA modeling application were based on waste management-related decision-making and construction sector focusing primarily on environmental impacts, environmental performance evaluations, and scenario modeling for decision support. This study not only contributes in summarizing the LCA research trends of the methods in the application areas but also attempts to identify the potential scope and research directions. LCA thus has proven to be an excellent evaluative tool for future analysis.

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Correspondence to Ravi Sharma.

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Sharma, R., Gupta, K. Life cycle modeling for environmental management: a review of trends and linkages. Environ Monit Assess 192, 51 (2020). https://doi.org/10.1007/s10661-019-8026-7

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  • DOI: https://doi.org/10.1007/s10661-019-8026-7

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