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MATTI - a multi-criteria decision analysis framework for assessing wastewater treatment technologies
Luis Carlos Soares da Silva Junior1, André Luis de Sá Salomão2, Ana Silvia Pereira Santos2
1Civil Engineering Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil E-mail: luis.junior@coc.ufrj.br; lcsoareseng@gmail.com; Civil, Environmental, and Construction Engineering Department, Texas Tech University, Lubbock, TX, USA.
Selecting the best wastewater treatment technology is challenging, especially in developing regions. The Most Appropriate Treatment Technology Index (MATTI) is a new tool that helps decision-makers choose optimal systems based on regional needs and priorities.
Area of Science:
- Environmental Engineering
- Water Resource Management
- Public Health
Background:
- Selecting optimal wastewater treatment technologies is complex due to diverse options and limited investment, particularly in emerging economies.
- Decision-makers require effective tools to navigate these challenges and prioritize regional needs.
Purpose of the Study:
- To develop a multi-criteria analysis tool, the Most Appropriate Treatment Technology Index (MATTI), to aid in selecting optimal wastewater treatment technologies.
- To support decision-making processes by considering specific regional needs and priorities.
Main Methods:
- The MATTI methodology involves five steps: technology selection, effluent parameter determination, variable definition, criteria weighting, and compliance calculation.
- A multi-criteria analysis framework was employed to normalize and weight relevant design variables.
Main Results:
- The MATTI tool was validated using two scenarios and seven variables within the Brazilian context.
- Several technology sets achieved scores above 0.75, indicating high recommendation based on scenario-specific weighting criteria.
Conclusions:
- The MATTI tool enhances the decision-making process for wastewater treatment technology selection.
- It provides a comprehensive framework for considering diverse parameters to meet specific regional requirements and priorities.
