Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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Construction of System for Water Quality Forecasting at Dalchun Using Neural Network Model

신경망 모형을 이용한 달천의 수질예측 시스템 구축

  • 이원호 (충주대학교 토목공학부 도시공학전공) ;
  • 전계원 (강원대학교 방재기술전문대학원) ;
  • 김진극 (하이드로시스넷) ;
  • 연인성 (충북대학교 건설기술연구소)
  • Received : 2007.02.02
  • Accepted : 2007.06.14
  • Published : 2007.06.15
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Abstract

Forecasting of water quality variation is not an easy process due to the complicated nature of various water quality factors and their interrelationships. The objective of this study is to test the applicability of neural network models to the forecasting of the water quality at Dalchun station in Han River. Input data is consist of monthly data of concentration of DO, BOD, COD, SS and river flow. And this study selected optimal neural network model through changing the number of hidden layer based on input layer(n) from n to 6n. After neural network theory is applied, the models go through training, calibration and verification. The result shows that the proposed model forecast water quality of high efficiency and developed web-based water quality forecasting system after extend model

Keywords

Acknowledgement

Supported by : 충북지역환경기술개발센터

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