Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review
Incorporating numerous technical, economic, environmental, and social benchmarks makes multi-criteria decision-making (MCDM) a reliable decision-making tool in sustainable development. To achieve sustainability target six, related to clean water and sanitation, wastewater technology comes into play....
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10360115/ |
| _version_ | 1797376344706777088 |
|---|---|
| author | Tina Sharma Anuj Kumar Sangeeta Pant Ketan Kotecha |
| author_facet | Tina Sharma Anuj Kumar Sangeeta Pant Ketan Kotecha |
| author_sort | Tina Sharma |
| collection | DOAJ |
| description | Incorporating numerous technical, economic, environmental, and social benchmarks makes multi-criteria decision-making (MCDM) a reliable decision-making tool in sustainable development. To achieve sustainability target six, related to clean water and sanitation, wastewater technology comes into play. They bring complicated scenarios with several indicators, criteria, and conflicting objectives. This article provides a thorough review of MCDM methods, including pure techniques such as AHP, TOPSIS, VIKOR, ELECTRE, and others, as well as hybrid MCDM approaches like the non-structural fuzzy decision support system (NSFDSS) in conjunction with Artificial Neural Network (ANN), applied to wastewater treatment technologies or processes to remove water contamination. This review draws upon articles sourced from the “Scopus” and “Web of Science (WoS)” databases, covering the period from 2015 to 2023. The primary aim of this endeavor is to offer a current and comprehensive review of the literature about MCDM to aid researchers and environmental engineers in their quest to identify the most appropriate techniques for tackling the complex challenges associated with wastewater treatment (WWT). The results demonstrate the versatile application of MCDM in various scenarios to remove water contaminants effectively. For example, these applications encompass assessing the efficacy of adsorbents for the removal of pollutants and effluents from wastewater, determining the optimal WWT technology from a range of alternatives, evaluating the performance of both metallic (such as ZnO and MnO) and non-metallic (like activated carbon) nanomaterial adsorbents, and scrutinizing strategies to minimize water consumption. Furthermore, within the context of specific WWT technologies, MCDM identifies and highlights critical criteria that are instrumental in enhancing system efficiency for removing pollutants. Ultimately, MCDM methods represent a contemporary decision support system. In future research, the potential utilization of MCDM can extend to tracking the environmental impacts of nanomaterial adsorbents released from treatment plants into the surrounding ecosystem. |
| first_indexed | 2024-03-08T19:37:12Z |
| format | Article |
| id | doaj.art-45ae8e4cf79543f79671ffa34dae11db |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T19:37:12Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-45ae8e4cf79543f79671ffa34dae11db2023-12-26T00:06:51ZengIEEEIEEE Access2169-35362023-01-011114370414372010.1109/ACCESS.2023.334315010360115Wastewater Treatment and Multi-Criteria Decision-Making Methods: A ReviewTina Sharma0https://orcid.org/0000-0002-5747-8465Anuj Kumar1https://orcid.org/0000-0003-2740-2379Sangeeta Pant2https://orcid.org/0000-0001-6531-1561Ketan Kotecha3https://orcid.org/0000-0003-2653-3780Department of Mathematics, University of Petroleum and Energy Studies, Dehradun, IndiaSchool of Computer Science Engineering and Applications, D. Y. Patil International University (DYPIU), Akurdi, Pune, IndiaDepartment of Applied Sciences, Symbiosis Institute of Technology, Symbiosis International (Deemed University) (SIU), Lavale, Maharashtra, Pune, IndiaSymbiosis Institute of Technology, Symbiosis International (Deemed University) (SIU), Lavale, Maharashtra, Pune, IndiaIncorporating numerous technical, economic, environmental, and social benchmarks makes multi-criteria decision-making (MCDM) a reliable decision-making tool in sustainable development. To achieve sustainability target six, related to clean water and sanitation, wastewater technology comes into play. They bring complicated scenarios with several indicators, criteria, and conflicting objectives. This article provides a thorough review of MCDM methods, including pure techniques such as AHP, TOPSIS, VIKOR, ELECTRE, and others, as well as hybrid MCDM approaches like the non-structural fuzzy decision support system (NSFDSS) in conjunction with Artificial Neural Network (ANN), applied to wastewater treatment technologies or processes to remove water contamination. This review draws upon articles sourced from the “Scopus” and “Web of Science (WoS)” databases, covering the period from 2015 to 2023. The primary aim of this endeavor is to offer a current and comprehensive review of the literature about MCDM to aid researchers and environmental engineers in their quest to identify the most appropriate techniques for tackling the complex challenges associated with wastewater treatment (WWT). The results demonstrate the versatile application of MCDM in various scenarios to remove water contaminants effectively. For example, these applications encompass assessing the efficacy of adsorbents for the removal of pollutants and effluents from wastewater, determining the optimal WWT technology from a range of alternatives, evaluating the performance of both metallic (such as ZnO and MnO) and non-metallic (like activated carbon) nanomaterial adsorbents, and scrutinizing strategies to minimize water consumption. Furthermore, within the context of specific WWT technologies, MCDM identifies and highlights critical criteria that are instrumental in enhancing system efficiency for removing pollutants. Ultimately, MCDM methods represent a contemporary decision support system. In future research, the potential utilization of MCDM can extend to tracking the environmental impacts of nanomaterial adsorbents released from treatment plants into the surrounding ecosystem.https://ieeexplore.ieee.org/document/10360115/Multi-criteria decision-makingwastewater treatmentwater pollutionAHPTOPSIS |
| spellingShingle | Tina Sharma Anuj Kumar Sangeeta Pant Ketan Kotecha Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review IEEE Access Multi-criteria decision-making wastewater treatment water pollution AHP TOPSIS |
| title | Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review |
| title_full | Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review |
| title_fullStr | Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review |
| title_full_unstemmed | Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review |
| title_short | Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review |
| title_sort | wastewater treatment and multi criteria decision making methods a review |
| topic | Multi-criteria decision-making wastewater treatment water pollution AHP TOPSIS |
| url | https://ieeexplore.ieee.org/document/10360115/ |
| work_keys_str_mv | AT tinasharma wastewatertreatmentandmulticriteriadecisionmakingmethodsareview AT anujkumar wastewatertreatmentandmulticriteriadecisionmakingmethodsareview AT sangeetapant wastewatertreatmentandmulticriteriadecisionmakingmethodsareview AT ketankotecha wastewatertreatmentandmulticriteriadecisionmakingmethodsareview |