The removal of 2-methylisoborneol (2-MIB) and geosmin from drinking water is a persistent challenge due to their resistance to conventional treatment methods. This study employs a multi-criteria decision-making (MCDM) approach, integrating the Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Stochastic Multicriteria Acceptability Analysis (SMAA), 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, TOPSIS and SMAA ranked A2 as the most favorable, whereas VIKOR favored A5, suggesting that it provides a balanced performance across multiple criteria. A sensitivity analysis confirmed the stability of rankings, highlighting the impact of criteria weight variations on final decisions. These findings underscore the importance of a hybrid evaluation framework in selecting effective water treatment strategies. Future studies should explore the integration of machine learning techniques to enhance decision-making reliability.
Aykut-Senel et al. (Thu,) studied this question.