Decision Making Model for Municipal Wastewater Conventional Secondary Treatment with Bayesian Networks

Technical, economic, regulatory, environmental, and social and political interests make the process of selecting an appropriate wastewater treatment technology complex. Although this problem has already been addressed from the dimensioning approach, our proposal in this research, a model of decision...

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Bibliographic Details
Published in:Water (Basel) 2022-04, Vol.14 (8), p.1231
Main Authors: Medina, Edgardo, Fonseca, Carlos Roberto, Gallego-Alarcón, Iván, Morales-Nápoles, Oswaldo, Gómez-Albores, Miguel Ángel, Esparza-Soto, Mario, Mastachi-Loza, Carlos Alberto, García-Pulido, Daury
Format: Article
Language:English
Subjects:
Analysis
Bayesian analysis
Business metrics
Decision making
Environmental impact
Environmental law
Intelligent systems
Municipal wastewater
Probability
Purification
Sewage
Variables
Wastewater treatment
Water quality
Water treatment
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Summary:Technical, economic, regulatory, environmental, and social and political interests make the process of selecting an appropriate wastewater treatment technology complex. Although this problem has already been addressed from the dimensioning approach, our proposal in this research, a model of decision making for conventional secondary treatment of municipal wastewater through continuous-discrete, non-parametric Bayesian networks was developed. The most suitable network was structured in unit processes, independent of each other. Validation, with data in a mostly Mexican context, provided a positive predictive power of 83.5%, an excellent kappa (0.77 > 0.75), and the criterion line was surpassed with the location of the model in a receiver operating characteristic (ROC) graph, so the model can be implemented in this region. The final configuration of the Bayesian network allows the methodology to be easily extended to other types of treatments, wastewater, and to other regions.
ISSN:2073-4441
2073-4441
DOI:10.3390/w14081231