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.

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.

In this study, specific energy potential of PRO process using L-DOPA+TiO2 (0.5 and 1 wt%) modified BW30-LE membrane was evaluated on synthetic and real water samples at 5, 10 and 15 bar pressures and 10°C and 20°C and 30°C degrees. Water flux increased by improvement of the surface hydrophilicity and increased roughness on the membrane surface by incorporation of TiO2 nanoparticles with L-DOPA. The maximum specific power was observed as 1.6 W/m2 for L-DOPA+1 wt% TiO2 modified BW30-LE membrane at 15 bar pressure. Mediterranean and Aegean, Black Sea water samples were used as draw solution and Seyhan, Ceyhan, Buyuk Menderes, Gediz, Yesilirmak, and Kizilirmak Rivers were used as feed solution. The highest osmotic power density of 0.70 W/m2 was obtained by using BW30-LE/L-DOPA+1 wt% TiO2 membrane with the Ceyhan River-Mediterranean Sea couple at 10 bar pressure at 30 ± 5°C.