preprint
The multi-soil-layering (MSL) bioreactor has been considered in the latest research as aninnovative bioreactor for reducing the level of pollutants in wastewater. The efficiency of theMSL bioreactor towards nitrogen pollution is due to the mineralization of organic nitrogen inaerobic layers to ammonia, and reactivity of ammonia nitrogen with soil and gravel by itsadsorption into soil layers followed by nitrification and denitrification processes when thealternating phases of oxygenated/anoxic conditions occurs in the filter. In this study, we haveexamined the performance of the MSL bioreactor at different hydraulic loading rates (HLRs)and predicted the removal rate of nitrogen. To improve the prediction accuracy of the models,the feature selection technique was performed before conducting the Neural Network model.The results showed a significant removal (p 0.93) and could help toinvestigate the MSL behavior.
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DOI: 10.5194/egusphere-egu24-10387
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