Produção Nacional
Revisado por pares
Combining Genetic Algorithms with a Water Quality Model to Determine Efficiencies of Sewage Treatment Systems in Watersheds
2015; American Society of Civil Engineers; Volume: 142; Issue: 3 Linguagem: Inglês
10.1061/(asce)ee.1943-7870.0001048
ISSN1943-7870
AutoresJuliana Pereira LouzadaValory, José Antônio Tosta dos Reis, Antônio Sérgio Ferreira Mendonça,
Tópico(s)Water Quality and Pollution Assessment
ResumoThe implementation and operation of wastewater treatment plants are fundamental actions for environmental water body pollution control that generally involve large amounts of financial resources. Hence, employment of optimization techniques for decisions about the minimum required wastewater treatment plant efficiencies might be very useful. In this study, an optimization technique known as the genetic algorithm (GA) was combined with a water-quality model to determine the minimum efficiencies for sewage treatment in watersheds. Combinations of the optimization technique and models that incorporated environmental quality standards for the parameters of dissolved oxygen (DO), biochemical oxygen demand (BOD), and equity measures among sewage treatment systems, either as constraints or in the objective functions, were developed. These combinations were applied to the Santa Maria da Vitória river watershed, located in the State of Espírito Santo, Brazil, considering possible effluent disposal scenarios and implementation of different established optimization models. The developed combinations of the genetic algorithm and a water-quality model demonstrated to be versatile and efficient tools for determining the minimum sewage-removal efficiencies for wastewater treatment plants in watersheds. Among the developed combinations of optimization models, the best results, or minimum costs, were obtained when the rivers' self-depuration capabilities were taken into account.
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