Development and Application of a User-Friendly Decision Support Tool for Optimization of Wastewater Treatment Technologies in India

The selection of suitable wastewater treatment solutions is a complex problem that requires the careful consideration of many factors. With water at a premium and water consumption increasing, India is facing a challenging time ahead, requiring effective water treatment solutions. The Wastewater Decision Support Optimizer (WiSDOM) presented here is a user-friendly software package designed to aid in the formulation and configuration of wastewater systems in developing countries such as India. WiSDOM employees advanced multi-objective optimization and decision analysis techniques to identify optimal wastewater treatment options. It has been demonstrated that WiSDOM can adapt to a wide array of scenarios, considering a range of contributing factors (technical, environmental, economic and social), enabling stakeholders to make more informed decisions. The tool was applied to three different scenarios to test its functionalities and assess treatment technologies potential for different contexts. Initial results suggest that it is possible to automatically generate feasible distinct treatment strategies for user-defined contexts/constraints.

[1]  María Molinos-Senante,et al.  Selecting appropriate wastewater treatment technologies using a choosing-by-advantages approach. , 2018, The Science of the total environment.

[2]  Srinivas Krovvidy Intelligent Tools for Wastewater Treatment Design , 1998 .

[3]  Darko Joksimovic Decision support system for planning of integrated water reuse projects , 2007 .

[4]  Coskun Aydiner,et al.  Hierarchical prioritization of innovative treatment systems for sustainable dairy wastewater management , 2016 .

[5]  Kaisa Miettinen,et al.  Wastewater treatment: New insight provided by interactive multiobjective optimization , 2011, Decis. Support Syst..

[6]  Subhankar Karmakar,et al.  The influence of expert opinions on the selection of wastewater treatment alternatives: a group decision-making approach. , 2013, Journal of environmental management.

[7]  Trinidad Gómez,et al.  Assessment of wastewater treatment alternatives for small communities: An analytic network process approach. , 2015, The Science of the total environment.

[8]  Jingzheng Ren,et al.  Multi-criteria group decision-making based sustainability measurement of wastewater treatment processes , 2017 .

[9]  A. R. Karimi,et al.  Selection of wastewater treatment process based on the analytical hierarchy process and fuzzy analytical hierarchy process methods , 2011 .

[10]  Milan Zeleny,et al.  Multiple Criteria Decision Making , 1973 .

[11]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[12]  Haris Ch. Doukas,et al.  A linguistic multicriteria analysis system combining fuzzy sets theory, ideal and anti-ideal points for location site selection , 2008, Expert Syst. Appl..

[13]  Godfrey A. Walters,et al.  Development of an integrated simulation model for treatment and distribution of reclaimed water , 2006 .

[14]  K V Plakas,et al.  Sustainability assessment of tertiary wastewater treatment technologies: a multi-criteria analysis. , 2016, Water science and technology : a journal of the International Association on Water Pollution Research.

[15]  Subhankar Karmakar,et al.  Selection of an appropriate wastewater treatment technology: a scenario-based multiple-attribute decision-making approach. , 2012, Journal of environmental management.

[16]  A A Ilemobade,et al.  A group decision-making tool for the application of membrane technologies in different water reuse scenarios. , 2015, Journal of environmental management.

[17]  R. Kaur,et al.  Wastewater production , treatment and use in India , 2012 .