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River water quality management model using genetic algorithm.

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Název: River water quality management model using genetic algorithm.
Autoři: Aras, Egemen, Toğan, Vedat, Berkun, Mehmet
Zdroj: Environmental Fluid Mechanics; Oct2007, Vol. 7 Issue 5, p439-450, 12p, 2 Diagrams, 2 Charts, 3 Graphs
Témata: WATER purification, SANITATION, GENETIC algorithms, ALGORITHMS, COMBINATORIAL optimization, GENETIC programming, DISSOLVED oxygen in water, OXYGEN, COMPOSITION of water, BIOCHEMICAL oxygen demand
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Fluid Mechanics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: River water quality management model using genetic algorithm.
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  Data: Environmental Fluid Mechanics; Oct2007, Vol. 7 Issue 5, p439-450, 12p, 2 Diagrams, 2 Charts, 3 Graphs
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  Data: <searchLink fieldCode="DE" term="%22WATER+purification%22">WATER purification</searchLink><br /><searchLink fieldCode="DE" term="%22SANITATION%22">SANITATION</searchLink><br /><searchLink fieldCode="DE" term="%22GENETIC+algorithms%22">GENETIC algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22ALGORITHMS%22">ALGORITHMS</searchLink><br /><searchLink fieldCode="DE" term="%22COMBINATORIAL+optimization%22">COMBINATORIAL optimization</searchLink><br /><searchLink fieldCode="DE" term="%22GENETIC+programming%22">GENETIC programming</searchLink><br /><searchLink fieldCode="DE" term="%22DISSOLVED+oxygen+in+water%22">DISSOLVED oxygen in water</searchLink><br /><searchLink fieldCode="DE" term="%22OXYGEN%22">OXYGEN</searchLink><br /><searchLink fieldCode="DE" term="%22COMPOSITION+of+water%22">COMPOSITION of water</searchLink><br /><searchLink fieldCode="DE" term="%22BIOCHEMICAL+oxygen+demand%22">BIOCHEMICAL oxygen demand</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Environmental Fluid Mechanics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10652-007-9037-4
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      – Code: eng
        Text: English
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        PageCount: 12
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      – SubjectFull: WATER purification
        Type: general
      – SubjectFull: SANITATION
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      – SubjectFull: GENETIC algorithms
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      – SubjectFull: ALGORITHMS
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      – SubjectFull: DISSOLVED oxygen in water
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      – SubjectFull: OXYGEN
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      – SubjectFull: COMPOSITION of water
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      – SubjectFull: BIOCHEMICAL oxygen demand
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      – TitleFull: River water quality management model using genetic algorithm.
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            NameFull: Aras, Egemen
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            NameFull: Toğan, Vedat
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            NameFull: Berkun, Mehmet
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              M: 10
              Text: Oct2007
              Type: published
              Y: 2007
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