Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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Development of a Concentration Prediction Model for Disinfection By-product according to Introduce the Advanced Water Treatment Process in Water Supply Network

고도정수처리에 따른 상수도 공급과정에서의 소독부산물 농도 예측모델 개발

  • Seo, Jeewon (Department of Environmental Engineering, University of Seoul) ;
  • Kim, Kibum (Department of Environmental Engineering, University of Seoul) ;
  • Kim, Kibum (Department of Environmental Engineering, Graduate School of Urban Science, University of Seoul) ;
  • Koo, Jayong (Department of Environmental Engineering, University of Seoul)
  • 서지원 (서울시립대학교 환경공학과) ;
  • 김기범 (서울시립대학교 환경공학과) ;
  • 김기범 (서울시립대학교 도시과학대학원 환경공학과) ;
  • 구자용 (서울시립대학교 환경공학과)
  • Received : 2017.08.11
  • Accepted : 2017.09.08
  • Published : 2017.10.31
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Abstract

In this study, a model was developed to predict for Disinfection By-Products (DBPs) generated in water supply networks and consumer premises, before and after the introduction of advanced water purification facilities. Based on two-way ANOVA, which was carried out to statistically verify the water quality difference in the water supply network according to introduce the advanced water treatment process. The water quality before and after advanced water purification was shown to have a statistically significant difference. A multiple regression model was developed to predict the concentration of DBPs in consumer premises before and after the introduction of advanced water purification facilities. The prediction model developed for the concentration of DBPs accurately simulated the actual measurements, as its coefficients of correlation with the actual measurements were all 0.88 or higher. In addition, the prediction for the period not used in the model development to verify the developed model also showed coefficients of correlation with the actual measurements of 0.96 or higher. As the prediction model developed in this study has an advantage in that the variables that compose the model are relatively simple when compared with those of models developed in previous studies, it is considered highly usable for further study and field application. The methodology proposed in this study and the study findings can be used to meet the level of consumer requirement related to DBPs and to analyze and set the service level when establishing a master plan for development of water supply, and a water supply facility asset management plan.

Keywords

References

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