Abstract
A new mathematical model incorporating biopolymer kinetics and the process of the simultaneous storage and growth are established for the treatment of low carbon source wastewater with a high effluent quality and energy efficiency. A set of initial parameter values was assigned as a combination of estimated values, literature-based values, and fitted values to simulate a cyclic activated sludge technology (CAST) system effectively. Compared with experimental data from the CAST system, the calibrated model demonstrated a good performance. Model simulations indicated that the recommended condition for a CAST fed with low carbon source wastewater was a volume ratio of the anoxic zone to the aerobic zone of 7/28. Moreover, using high-throughput 16S rRNA gene sequencing not only characterised the microbial communities in the CAST reactors operated under two feeding ratios but also indirectly validated the model predictions.
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This study was supported by the National Water Pollution Control and Management Technology Special Project of China (No. 2014ZX07201-012-2) and the State Key Laboratory of Urban Water Resource and Environment (Harbin Institute of Technology) (No. 2012DX07).
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Gao, F., Nan, J., Zhang, X. et al. A dynamic modelling of nutrient metabolism in a cyclic activated sludge technology (CAST) for treating low carbon source wastewater. Environ Sci Pollut Res 24, 17016–17030 (2017). https://doi.org/10.1007/s11356-017-9277-x
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DOI: https://doi.org/10.1007/s11356-017-9277-x