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Bioprocess and Biosystems Engineering

, Volume 42, Issue 2, pp 199–212 | Cite as

Development of model simulation based on BioWin and dynamic analyses on advanced nitrate nitrogen removal in deep bed denitrification filter

  • Xiyan Ji
  • Yanyun Liu
  • Jibiao ZhangEmail author
  • Deying Huang
  • Peiguo Zhou
  • Zheng ZhengEmail author
Research Paper

Abstract

A pilot-scale deep bed denitrification filter using quartz sand as the filter media was operated under filtration velocity of 5.23 m/h. Nitrate, nitrite, ammonia, and total nitrogen removal rates were relatively high at influent C/N ratios of 4:1 and 5:1. A model was developed using software to simulate the processes operating in the filter and improve the related parameters in the actual operations. The normalized sensitivity coefficient and the mean square sensitivity measure were used for the sensitivity analysis. Results showed that the stoichiometric parameters were the most sensitive, which were related to methylotrophs and biofilm. Measured data were consistent with the simulations. Moreover, the order of significance of factors affecting nitrate nitrogen removal was as follows: influent chemical oxygen demand, influent nitrate nitrogen, and hydraulic retention time. Last, the denitrification dynamic model was obtained at influent C/N ratio of 5:1.

Keywords

Deep bed denitrification filter Advanced nitrate removal Influent C/N ratio Model simulation. 

Notes

Acknowledgements

The study was supported by the Major Science and Technology Program for Water Pollution Control and Treatment [2012ZX07103-004] and the Science and Technology Project of Guizhou Province [No. Qiankehezhicheng (2017) 2859]. We also thank Dr. Xinying Chen from China Agricultural University for his help of BioWin software.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Environmental Science and EngineeringFudan UniversityShanghaiPeople’s Republic of China
  2. 2.College of Materials Science and EngineeringNanjing Forestry UniversityNanjingPeople’s Republic of China
  3. 3.Department of ChemistryFudan UniversityShanghaiPeople’s Republic of China

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