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A Study on the River Water Quality Management Model using Genetic Algorithm  

Cho, Jae-Heon (관동대학교 SOC공학부)
Sung, Ki-Seok (강릉대학교 산업공학과)
Publication Information
Journal of Korean Society of Water and Wastewater / v.18, no.4, 2004 , pp. 453-460 More about this Journal
Abstract
The objective of this research is to develop the water quality management model to achieve the water quality goal and the minimization of the waste load abatement cost. Most of existing water quality management model can calculate BOD and DO. In addition to those variables, N and P are included in the management model of this study. With a genetic algorithm, calculation results from the mathematical water quality model can be used directly in this management model. Developed management model using genetic algorithm was applicated for the Youngsan River basin. To verify the management model, water quality and pollution source of the Youngsan River had been investigated. Treatment types and optimum treatment costs of the existing and planned WWTPs in the baisn were calculated from the model. The results of genetic algorithm indicate that Kwangju and Naju WWTP have to do the advanced treatment to achieve the water quality goal about BOD, DO and TP. Total annual treatment cost including the upgrade cost of existing WWTPs in the Youngsan River basin was about 50.3 billion Won.
Keywords
Genetic algorithm; Water quality management model; Water quality goal; Wastewater treatment cost; Youngsan River;
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