회귀식을 사용한 하수처리장 방류수 CODMn 농도의 총 유기탄소 및 난분해성 물질 농도 전환 (Conversion of CODMn into TOC and Refractory Organic Matter Concentrations for Treated Sewage using Regression Equations)

서지정보

· 발행기관 : 한국물환경학회
· 수록지 정보 : 한국물환경학회지 / 26권 / 6호 / 969 ~ 975페이지
· 저자명 : 이태환, 이보미, 허진, 정명숙, 강태구

초록

Estimating the organic matter loadings from individual treated sewage has become important for establishment of effective management strategies to control refractory organic matter (R-OM) in watersheds. For this study, regression equations were constructed using treated sewage data to convert the chemical oxygen demand (COD) concentrations, which are mostly available from open database, into total organic carbon (TOC) and R-OM concentrations. Effluent samples were collected from five major sewage treatment plants (STPs) located upstream of the lake Paldang. Variations in the OM concentrations were not associated with either the location of the STP or the sampling season. The effluent investigated were characterized by higher ratio of R-OM with respect to biodegradable organic matter (B-OM) and higher presence of dissolved organic matters (DOM) versus particulate organic matter (POM). Compared to CODMn, CODCr exhibited higher oxidation efficiencies and greater variations in the concentrations. The concentrations of CODMn were positively correlated with dissolved organic carbon (DOC), total organic carbon (TOC), and R-OM concentrations. There was nearly no seasonal and annual variation in the regression equations between CODMn and TOC or R-OM concentrations. The constructed regression equations for TOC and R-OM were 0.650(±0.071)×CODMn+1.426(±0.575) and 0.340(±0.083)×CODMn+2.054(±0.670), respectively. The established equations are expected to contribute to estimating OM loadings from the STPs into the lake Paldang and also to compensating for the deficiency of the data for effluent OM concentrations in STP.

영어초록

Estimating the organic matter loadings from individual treated sewage has become important for establishment of effective management strategies to control refractory organic matter (R-OM) in watersheds. For this study, regression equations were constructed using treated sewage data to convert the chemical oxygen demand (COD) concentrations, which are mostly available from open database, into total organic carbon (TOC) and R-OM concentrations. Effluent samples were collected from five major sewage treatment plants (STPs) located upstream of the lake Paldang. Variations in the OM concentrations were not associated with either the location of the STP or the sampling season. The effluent investigated were characterized by higher ratio of R-OM with respect to biodegradable organic matter (B-OM) and higher presence of dissolved organic matters (DOM) versus particulate organic matter (POM). Compared to CODMn, CODCr exhibited higher oxidation efficiencies and greater variations in the concentrations. The concentrations of CODMn were positively correlated with dissolved organic carbon (DOC), total organic carbon (TOC), and R-OM concentrations. There was nearly no seasonal and annual variation in the regression equations between CODMn and TOC or R-OM concentrations. The constructed regression equations for TOC and R-OM were 0.650(±0.071)×CODMn+1.426(±0.575) and 0.340(±0.083)×CODMn+2.054(±0.670), respectively. The established equations are expected to contribute to estimating OM loadings from the STPs into the lake Paldang and also to compensating for the deficiency of the data for effluent OM concentrations in STP.

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