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Updated: Oct 15, 2025

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
Published on: May 2, 2025
Sustainability assessment of wastewater treatment systems using cardinal weights and PROMETHEE method: case study of
Abdelhadi Makan1, Mohamed Gouraizim2, Ahmed Fadili3
1Team of Water and Environmental Management (G2E), National School of Applied Sciences (ENSAH), Abdelmalek Essaadi University, Tetouan, Morocco. abdelhadi.makan@gmail.com.
Abstract:
To cope with water scarcity, Morocco needs to integrate the reuse of treated wastewater fully into its water management strategies. However, this option imposes several concerns about the appropriate wastewater treatment system (WWTS) whose performance is balanced by technical, environmental, financial, and societal sustainability. To deal with these challenges, the present study aims to assess the sustainability of five WWTS using the cardinal (CAR) and PROMETHEE methods. After hierarchizing the criteria and identifying the WWTS, two separate surveys were performed in order to rank criteria and alternatives by preference strength. The delivered rankings were converted, then, respectively into cardinal weights (criteria) and cardinal scores (alternatives). The PROMETHEE rankings showed that the membrane systems are the most sustainable followed by trickling filters, while the infiltration-percolation is the least sustainable WWTS. The activated sludge and lagoon systems were incomparable using PROMETHEE I partial ranking, and they were both ranked in the third position of sustainability. In contrast, PROMETHEE II complete ranking favored the activated sludge than lagoon systems due to its slightly high net outranking flow. The stability intervals indicated that the weights of all criteria could not affect the two first actions, which is mainly due to the high precision and robustness of the CAR method in eliciting weights. Finally, each criterion affected variably the sustainability of WWTS according to their characteristics, but overall, the process efficiency is the key factor (21.07% of weight) to reaching higher sustainability levels in addition to gaseous emissions (12.41% of weight), flexibility (8.32% of weight), and energy requirement (7.50% of weight).
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