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Modeling Floodplain Filtration for the Improvement of River Water Quality
Authors:Jong-Bae?Chung  Email author" target="_blank">Seung-Hyun?KimEmail author  Byeong-Ryong?Jeong  Young-Deuk?Lee  Shiv?O?Prasher
Institution:(1) Department of Agricultural Chemistry, Daegu University, Gyeongsan, South Korea, 712-714;(2) Department of Environmental Engineering, Yeungnam University, Gyeongsan, South Korea, 712-749;(3) Department of Agronomy, Daegu University, Gyeongsan, South Korea, 712-714;(4) Department of Agricultural and Biosystems Engineering, McGill University, 21,111 Lakeshore, Ste-Anne-de-Bellevue, QC, Canada, H9X 3V9
Abstract:A mathematical model was developed to describe a treatment method of floodplain filtration for the improvement of river water quality. The process consists of spraying poor quality river water onto the river floodplains and thus allowing soil filtration to treat water before it gets back again into the main river stream. This technique can be readily employed in Korea because it exploits the characteristics of the climate and rivers in the country, as described in an experimental study of Chung et al. The model was analyzed by numerical methods and validated by comparing the simulated values with experimental data. A scenario analysis of the model was also performed in order to have a better understanding of the floodplain filtration process. Our results show that the model was able to predict the reduction in organic matter and NO3 in river water through the floodplain filtration. Furthermore, it was found that only a few decimeters of top soil profile were enough to degrade most of the organic matter under wider operational conditions than those reported in the literature. Also, it was found that significant infiltration of atmospheric oxygen took place near the soil surface. The N2O emission and the NO3 leaching increased with the increase in the influent NO3 concentration. However, the N2O emission due to floodplain filtration was not expected to exceed 0.1 mL/m2-day.
Keywords:floodplain filtration  organic matter removal  denitrification  mathematical modeling  competitive Michaelis–  Menten model
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