Literature DB >> 29920444

Engaging multiple weighting approaches and Conjoint Analysis to extend results acceptance of life cycle assessment in biological wastewater treatment technologies.

Shunwen Bai1, Xinyue Zhao2, Dawei Wang3, Xuedong Zhang4, Nanqi Ren5.   

Abstract

Environmental impacts of biological wastewater treatment technologies (BWTTs) can be evaluated by life cycle assessment (LCA). However, very few efforts have been made to expand the ranges of results acceptance and promote stakeholders to participate in the results analysis. To facilitate the evaluation reaching more wide and deep understanding, this study proposed to employ multiple weighting methods and the Conjoint Analysis. To investigate the feasibility, an illustrative case of a bioaugmented constructed wetland was carried out. Weighting results indicated that appropriate improvement strategies could be obtained from synthesizing the similarities and differences of LCA results due to different weighting methods employed. Meanwhile, application of Conjoint Analysis was conducive to the communication between LCA practitioners and BWTTs stakeholders. In a simulated decision-situation, this study found that the decision-making process of stakeholders could be clearly derived to indicate how stakeholders would take trade-offs and make choices based on analyzing LCA outcome.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bioaugmentation; Biological wastewater treatment technologies; Conjoint Analysis; Life cycle assessment; Multiple weighting methods

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Year:  2018        PMID: 29920444     DOI: 10.1016/j.biortech.2018.06.032

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  1 in total

1.  Environmental Impacts of Styrene-Butadiene-Styrene Toughened Wood Fiber/Polylactide Composites: A Cradle-to-Gate Life Cycle Assessment.

Authors:  Tao Qiang; Yaxuan Chou; Honghong Gao
Journal:  Int J Environ Res Public Health       Date:  2019-09-13       Impact factor: 3.390

  1 in total

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