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전기전도도 및 토연모델을 이용한 CSOs 유량 및 수질 추정

The Flow and Water Quality Estimation of CSOs Using EC Data and Civil Engineering Research Model

  • 투고 : 2014.02.07
  • 심사 : 2014.02.24
  • 발행 : 2014.03.31

초록

본 연구에서는 기존 CSOs (Combined Sewer Overflows) 모니터링에 비해 비용효과적이며 유지관리가 용이한 모니터링 시스템 구축의 적용성 검토를 위해 10.2 ha 규모의 배수면적이 포함된 우수토실에서 2회의 강우이벤트에 대해 전기전도도 데이터 및 토연모델을 이용하여 CSOs 유량 및 수질을 예측하였다. 강우이벤트별 전기전도도 희석률에 의한 유량예측결과 실측값과의 결정계수($R^2$)는 모두 0.86 이상으로 나타났으며, 다양한 강우이벤트에 적용이 가능한 예측식 산정을 위해 선행건기일수 및 강우지속기간 2가지를 추가 매개변수로 고려하여 회귀식을 보정한 후 적용한 결과 전기전도도 희석률만을 고려한 결과에 비해 $R^2$는 0.50에서 0.80, 오차범위 40% 이내에 포함된 상대오차 누적빈도는 54.1%에서 68.5%로 예측값의 정확도가 개선되었다. CSOs 수질은 별도의 입력자료 없이 매개변수의 보정만으로 예측값 산정이 가능한 토연모델을 적용한 결과 강우 이벤트별 실측값과의 $R^2$는 BOD 0.64~0.97, SS 0.70~0.95의 범위를 나타내었다.

In this study, monitoring method which is more economic and easier in maintenance comparing to existing monitoring system was scrutinized for application to sewer intercepting chamber of 10.2 ha basin area by estimating CSOs (Combined Sewer Overflows) quantity and quality with 2 rainfall events using electrical conductivity data and civil research model. The result showed that determination coefficient of flow estimation by EC (Electrical Conductivity) dilution ratio and observed data was over 0.86 for all cases and the accuracy of estimation was improved from 0.5 to 0.8 for determination coefficient ($R^2$) and from 54.1% to 68.5% for accumulation frequency of relative error by considering antecedent dry days and rainfall duration. CSOs water quality estimation results by civil research model showed that determination coefficients were 0.64~0.97 for BOD and 0.70~0.95 for SS.

키워드

참고문헌

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