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Betul Aykut-Senel
Betul Aykut-Senel

Public Documents 2
Comparative Assessment of 2-MIB and Geosmin Removal Techniques Using Multi-Criteria D...
Betul Aykut-Senel
Nuray Ateş

Betul Aykut-Senel

and 3 more

June 13, 2025
The removal of 2-methylisoborneol and geosmin from drinking water is a persistent challenge due to their resistance to treatment methods. This study employs a multi-criteria decision-making approach, integrating the AHP, TOPSIS, and VIKOR, to evaluate five treatment alternatives: activated carbon adsorption (A1), modified activated carbon adsorption (A2), peroxone oxidation (A3), integrated original activated carbon and peroxone process (A4), and integrated modified activated carbon and peroxone process (A5). The assessment was conducted across seven criteria, including technical performance, environmental sustainability, economic feasibility, operational feasibility, usability & monitoring, safety & health risks, and adaptability & suitability. Results indicate that A2 exhibits the highest removal efficiency, while A3 offers the fastest degradation but has high chemical demands and safety risks. AHP and TOPSIS ranked A2 as the most favorable, suggesting that it provides a balanced performance across multiple criteria. Future studies should explore the integration of machine learning techniques to enhance decision-making reliability.
Comparative Assessment of 2-MIB and Geosmin Removal Techniques Using Multi-Criteria D...
Betul Aykut-Senel
Nuray Ateş

Betul Aykut-Senel

and 3 more

June 06, 2025
The removal of 2-methylisoborneol and geosmin from drinking water is a persistent challenge due to their resistance to treatment methods. This study employs a multi-criteria decision-making approach, integrating the AHP, TOPSIS, and VIKOR, to evaluate five treatment alternatives: activated carbon adsorption (A1), modified activated carbon adsorption (A2), peroxone oxidation (A3), integrated original activated carbon and peroxone process (A4), and integrated modified activated carbon and peroxone process (A5). The assessment was conducted across seven criteria, including technical performance, environmental sustainability, economic feasibility, operational feasibility, usability & monitoring, safety & health risks, and adaptability & suitability. Results indicate that A2 exhibits the highest removal efficiency, while A3 offers the fastest degradation but has high chemical demands and safety risks. AHP and TOPSIS ranked A2 as the most favorable, suggesting that it provides a balanced performance across multiple criteria. Future studies should explore the integration of machine learning techniques to enhance decision-making reliability.

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