Literature DB >> 32413661

Development of a decision support system for the selection of wastewater treatment technologies.

Abaid Ullah1, Salman Hussain2, Ahmad Wasim2, Mirza Jahanzaib2.   

Abstract

Multiple factors including technical, social, economic, regulatory, governmental, and environmental add complexity in the process of selecting a suitable wastewater treatment technology. To overcome this issue, this paper aims to propose a decision support system (DSS) for the selection of wastewater treatment technologies. The proposed system has been developed using a detailed review of the state-of-the-art in wastewater treatment, implemented using Microsoft Visual Studio 2010 and validated through real-time case studies. The system is categorized into four treatment levels based on wastewater complexity and the required degree of treatment. These include preliminary, primary, secondary, and tertiary treatment. Based on the identified treatment levels, the proposed system suggests using any physical, biological, chemical, or hybrid treatment process. The developed DSS will aid the selection of suitable wastewater treatment technology from a set of alternatives while keeping user constraints, conflicting requirements, and prevailing conditions under consideration. Moreover, the system is capable to customize the treatment assembly at the planning stage with minimized costs, eliminate mistakes at the planning and design stage, facilitate decision making by narrowing down the alternative solution as per user requirements and prevailing conditions, incorporate customer demand, and promote sustainable development.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Decision support system; Treatment levels; Treatment processes; User constraints; Wastewater contaminants; Wastewater treatment technologies

Year:  2020        PMID: 32413661     DOI: 10.1016/j.scitotenv.2020.139158

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


  2 in total

1.  A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas.

Authors:  Gunes Eseoglu; Kozet Yapsakli; Hakan Tozan; Ozalp Vayvay
Journal:  Sci Rep       Date:  2022-05-25       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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