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http://dx.doi.org/10.3741/JKWRA.2003.36.6.1047

Development of Multiple Regression Models for the Prediction of Daily Ammonia Nitrogen Concentrations  

Chug, Se-Woong (충북대학교 환경공학과)
Publication Information
Journal of Korea Water Resources Association / v.36, no.6, 2003 , pp. 1047-1058 More about this Journal
Abstract
Seasonal occurrence of high ammonia nitrogen(NH3-N) concentrations has hampered chemical treatment processes of a water plant that intakes water at Buyeo site of Geum river. Thus it is often needed to quantify the effect of Daecheong Dam ouflow on the mitigation of $NH_3$-N contamination. In this study, multiple regression models were developed for forecasting daily $NH_3$-N concentrations using 8 years of water quality and dam outflow data, and verified with another 2 years of data set. During model development, the coefficients of determination($R^2$) and model efficiency($E_{m}$) were greater than 0.95. The verification results were also satisfactory although those statistical indices were slightly reduced to 0.84∼0.94 and 0.77∼0.93, respectively. The validated model was applied to assess the effect of different amounts of dam outflow on the reduction of $NH_3$-N concentrations in 2002. The NH3-N concentrations dropped by 0.332∼0.583 mg/L on average during January∼March as outflow increases from 5 to 50cms, and was most significant on February. The results of this research show that the multiple regression approach has potential for efficient cause and effect analysis between dam outflow and downstream water quality.
Keywords
Multiple Regression Model; NH3-N; Water Quality Modeling; Dam Outflow;
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Times Cited By KSCI : 2  (Citation Analysis)
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