River water quality management model using genetic algorithm |
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Authors: | Egemen Aras Vedat Toğan Mehmet Berkun |
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Institution: | (1) Civil Engineering Department, Karadeniz Technical University, Trabzon, 61080, Turkey |
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Abstract: | Conventional mathematical programming methods, such as linear programming, non linear programming, dynamic programming and
integer programming have been used to solve the cost optimization problem for regional wastewater treatment systems. In this
study, a river water quality management model was developed through the integration of a genetic algorithm (GA). This model
was applied to a river system contaminated by three determined discharge sources to achieve the water quality goals and wastewater
treatment cost optimization in the river basin. The genetic algorithm solution, described the treatment plant efficiency,
such that the cost of wastewater treatment for the entire river basin is minimized while the water quality constraints in
each reach are satisfied. This study showed that genetic algorithm can be applied for river water quality modeling studies
as an alternative to the present methods. |
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Keywords: | Self purification Genetic algorithm Dissolved oxygen Treatment cost optimization River pollution |
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