Literature DB >> 29306825

Selecting appropriate wastewater treatment technologies using a choosing-by-advantages approach.

Paz Arroyo1, María Molinos-Senante2.   

Abstract

Selecting the most sustainable wastewater treatment (WWT) technology among possible alternatives is a very complex task because the choice must integrate economic, environmental, and social criteria. Traditionally, several multi-criteria decision-making approaches have been applied, with the most often used being the analytical hierarchical process (AHP). However, AHP allows users to offset poor environmental and/or social performance with low cost. To overcome this limitation, our study examines a choosing-by-advantages (CBA) approach to rank seven WWT technologies for secondary WWT. CBA results were compared with results obtained by using the AHP approach. The rankings of WWT alternatives differed, depending on whether the CBA or AHP approach was used, which highlights the importance of the method used to support decision-making processes, particularly ones that rely on subjective interpretations by experts. This paper uses a holistic perspective to demonstrate the benefits of using the CBA approach to support a decision-making process when a group of experts must come to a consensus in selecting the most suitable WWT technology among several available.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Analytical hierarchy process; Choosing by advantages; Multi-criteria decision making; Sustainability; Wastewater treatment plant

Year:  2018        PMID: 29306825     DOI: 10.1016/j.scitotenv.2017.12.331

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Application of choosing by advantages to determine the optimal site for solar power plants.

Authors:  Hui Hwang Goh; Chunyu Li; Dongdong Zhang; Wei Dai; Chee Shen Lim; Tonni Agustiono Kurniawan; Kai Chen Goh
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.996

2.  Intelligent Tools to Monitor, Control and Predict Wastewater Reclamation and Reuse.

Authors:  Dimitris Ntalaperas; Christophoros Christophoridis; Iosif Angelidis; Dimitri Iossifidis; Myrto-Foteini Touloupi; Danai Vergeti; Elena Politi
Journal:  Sensors (Basel)       Date:  2022-04-16       Impact factor: 3.847

  2 in total

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