Evaluation of wastewater treatment technologies using TOPSIS

Yahya, Mukhtar Nuhu; Gökçekuş, Hüseyin; Ozsahin, Dilber Uzun; Uzun, Berna

doi:10.5004/dwt.2020.25172

Cited by 18 publications

(3 citation statements)

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“…Next, the AHP method appears, with 21 occurrences [6, 49-52, 55, 62, 64, 66, 67, 71, 77, 84, 90, 106, 121, 123, 127, 129, 134, 135]. In the third place, the fuzzy method [55, 58, 63, 72, 77, 87, 89-91, 96, 101, 114, 122, 124, 127, 129, 134] and TOPSIS method [50,51,55,59,67,80,84,90,97,103,104,108,118,125,127,129,134], with 17 occurrences each. In addition to those mentioned, the methods of the PROMETHEE family stand out with 9 occurrences [52,77,88,89,93,94,97,115,133].…”

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confidence: 99%

A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis

Steffen,

de Oliveira,

Trojan

2024

JIMD

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This study investigates the application of Multi-Criteria Decision Analysis (MCDA) methods to the classification of research papers within a Systematic Literature Review (SLR). Distinctions are drawn between compensatory and non-compensatory MCDA approaches, which, despite their distinctiveness, have often been applied interchangeably, leading to a need for clarification in their usage. To address this, the methods of Entropy Weight Method (EWM), Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) were utilized to determine the parameters for ranking papers within an SLR portfolio. The source of this ranking comprised publications from three major databases: Scopus, ScienceDirect, and Web of Science. From an initial yield of 267 articles, a final portfolio of 90 articles was established, highlighting not only the compensatory and non-compensatory classifications but also identifying methods that incorporate features of both. This nuanced categorization reveals the complexity and necessity of selecting an appropriate MCDA method based on the dataset characteristics, which may exhibit attributes of both approaches. The analysis further illuminated the geographical distribution of publications, leading contributors, thematic areas, and the prevalence of specific MCDA methods. This study underscores the importance of methodological precision in the application of MCDA to systematic reviews, providing a refined framework for evaluating academic literature.

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Section: Figure 11 Word Cloudmentioning

confidence: 99%

A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis

Steffen,

de Oliveira,

Trojan

2024

JIMD

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“…Selecting a right wastewater treatment technology will facilitate sustainable development and requires a decision support system (M.N. Yahya et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of waste water treatment technologies by combined analytical hierarchy process and grey relational analysis

2022

Global NEST: The International Journal

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<p>Recycling of wastewater is an important issue as it is used for many important applications such as industries, agriculture, household applications and due to water scarcity across the different countries. Wastewater treatment is an important activity as it protects human being and the ecosystem from harmful and toxic elements present in wastewater. Performance evaluation of wastewater treatment technologies being complex Multi-criteria Decision Making (MCDM) problem that has contradictory evaluation factors. This paper is focused on the analysis of factors that affect evaluation of wastewater treatment technologies and their impact by developing a model which combine Analytical Hierarchy Process (AHP) and Grey Relational Analysis (GRA) for the assessment and ranking wastewater treatment technologies (WWTTs) respectively. The best WWTT is chosen based on data acquired through a case study. AHP is applied for computing criteria weights based on comparative significance while Grey Relational Analysis method is applied for ranking and selecting the wastewater treatment technologies. Sensitivity analysis is performed to show the impact of grey relational scores of alternatives in line with variations of distinguished coefficients.</p>

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“…In this regard, the Multi-Criteria Decision-Making (MCDM) technique is an approach recommended for situations of this kind, as it indicates the most adequate path among a set of alternatives based on criteria considered important for a specific type of analysis with both precision and scientific support [36]. Furthermore, the MCDM's ability to simultaneously deal with qualitative and quantitative data, including expert opinions, makes it a commonly applied technique by decision-makers [37], including in situations involving the choice of adequate wastewater treatment methods [38][39][40][41][42][43][44][45][46][47]. However, although these studies also focus on technology comparisons, their developments associated to AOP are rare [48,49].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Criteria Decision-Making Approach to Evaluate Different UVC/H2O2 Systems in Wastewater Treatment

2021

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High azoxystrobin (AZO), difenoconazole (DFZ), and imidacloprid (IMD) pesticide removal rates in sixteen bench-scale experiments concerning tomato washing water treatment were obtained through a UVC/H2O2 advanced oxidative process. Experimental conditions ([H2O2]0) and irradiance (EUVC) were optimized for higher degradation rates (pseudo-first-order reaction). To consider both economic aspects and environmental impacts when defining the treatment technology, as well as technological requirements, this study applied a multi-criteria decision-making method (MCDM) to assess and differentiate similar UVC/H2O2 process configurations. This allowed for the identification of the cheapest experimental arrangement with the lowest associated environmental impacts, coupled to the highest degradation rate (kIMD). After consulting experts to determine the importance of the applied criteria and measuring alternative performances, experiment E7 ([H2O2]0 = 43.5 mg L−1; EUVC = 15.0 W m−2; kIMD = 0.236 s−1) was determined as meeting the three criteria in a balanced manner. Although E7′s technological performance regarding degradation rate did not achieve the best individual result, it presented the lowest impacts and costs among the analyzed series, although alternatives are sensitive to decision-maker priorities. This study considered different factors of a process displaying potential industrial applications still in the design stage to achieve a more efficient and balanced solution.

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Evaluation of wastewater treatment technologies using TOPSIS

Cited by 18 publications

References 0 publications

A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis

A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis

Evaluation of waste water treatment technologies by combined analytical hierarchy process and grey relational analysis

A Multi-Criteria Decision-Making Approach to Evaluate Different UVC/H2O2 Systems in Wastewater Treatment

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