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a Dep. of Environmental Engineering, Yeungnam Univ., Kyongsan 712-749, Korea
b Dep. of Agricultural Chemistry, Taegu Univ., Kyongsan 712-714, Korea
c Dep. of Agronomy, Taegu Univ., Kyongsan 712-714, Korea
d Dep. of Agricultural and Biosystems Engineering, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, Quebec H9X 3V9, Canada
* Corresponding author (kimsh{at}yumail.ac.kr)
Received for publication August 7, 2002. During the dry season in Korea, rivers become more vulnerable to contamination by biochemical oxygen demand (BOD) and nitrogen. It is hypothesized that the natural characteristics of the streams in Korea allow the contaminated water to be treated at the tributaries. Downstream river water quality in Korea may be improved by spraying the contaminated stream water from the tributaries over the surrounding floodplains. The consequent water filtration through the soil could remove the contaminants through aerobic and denitrifying reactions. In this study, the kinetics parameters of the denitrifying reaction in floodplain filtration were determined using contaminated stream water. For the electron donor the Monod kinetics was used, while the competitive MichaelisMenten model was employed for the electron acceptors. The parameters to the competitive MichaelisMenten model were found using continuous denitrifying reactions, instead of the batch reactions employed in previous studies, to match the conditions needed to apply the competitive MichaelisMenten kinetics. From the result, it was found that continuous reactions as well as batch reactions could be used to determine the affinity coefficients in denitrification. The results of this study also showed that the affinity coefficient of NO-2, using continuous reactions, was similar to that of other studies in the literature found via batch reactions, whereas the affinity coefficient of N2O was much larger than that acquired with batch reactions. The parameters obtained in this study will be used in future work to simulate the contaminant behaviors during floodplain filtration using a mathematical model.
Abbreviations: BCOD, biodegradable chemical oxygen demand BOD, biochemical oxygen demand COD, chemical oxygen demand MLVSS, mixed liquor volatile suspended solid NBCOD, nonbiodegradable chemical oxygen demand
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