표면반응분석법을 이용한 하수관거 오염물질 변화특성 예측을 위한 최적 매개변수 추정

Abstract

1) 표면반응분석법은 SWMM 의 수질모의를 위한 매개변수를 추정에 효과적이었다. 2) 추정된 매개변수 값은 BOD는 Maximum Buildup 계수가 1.1807, Time exponent 계수가 0.0497이었으며, Washoff Coefficient가 1.792이고, Washoff exponent 값이 3.2805이었다. TN은 Maximum Buildup 계수가 3.5011이고, Buildup Rate 값이 0.5469이었으며, Washoff Coefficient 값은 0.6477, Washoff exponent 값은 1.000이었다. TP는 Maximum Buildup 값이 0.7950이고, Buildup Rate 값이 0,4292이었으며, Washoff Coefficient 값은 0.1616이고 Washoff exponent 값은 0.995이었다.

Main objectives of sewer system are flood disaster prevention by storm water exclusion and water quality preservation by sewage exclusion. The models for sewer system are Mike SWMM (DHI), Mike Urban (DHI), XP-SWMM (Hydromantis) based SWMM (EPA). The parameters estimation for the quantity simulation of SWMM were presented. This study were conducted for the parameters estimation for the quality simulation of SWMM, that is increasing interest recently. Common used methods for the parameters estimation of SWMM are trial and error method, genetic algorism method and artificial intelligent methods. Trial ana error method needs a lot of efforts and times. The results of genetic algorism method are not quite convinced because of different answers every trial. This study used surface response analysis method for the parameters estimation for the quality simulation of SWMM. Which method can save the times and get the same answers of every trial.