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Luo Feihang, Yang Zhaohui, Lu Hui, Luo Yuanling, Zhan Qi. Stimulation based on SIMULINK for nitration reaction kinetics model[J]. Chinese Journal of Environmental Engineering, 2013, 7(4): 1206-1212.
Citation: Luo Feihang, Yang Zhaohui, Lu Hui, Luo Yuanling, Zhan Qi. Stimulation based on SIMULINK for nitration reaction kinetics model[J]. Chinese Journal of Environmental Engineering, 2013, 7(4): 1206-1212.
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Stimulation based on SIMULINK for nitration reaction kinetics model

  • 1.

    College of Environmental Science and Engineering, Hunan University, Changsha 410082, China

  • 2.

    Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China

  • Received Date: 12/04/2012
    Accepted Date: 28/12/2011
    Available Online: 09/04/2013
    Fund Project:
  • The biochemical reaction of ammonia oxidizing bacteria and nitrate oxidation bacteria was predicted by utilizing the simulation dynamics model based on SIMULINK. The results indicated that it could accurately predict the bio-process of AOB and NOB in sanitary sewage treatment when dissolved oxygen concentration, alkalinity and temperature on the model were chosen appropriately. The absolute average error of simulation values of NH4+-N, NO2--N and NO3--N ranged from 1.13 to 15.88. In addition, the Nash.Suttcliffe simulation efficiency coefficient of NH4+-N, NO2--N and NO3--N were 99.36%, 98.6% and 99.25%,respectively. The sensitive analysis of dissolved oxygen concentration, alkalinity and temperature on this model , which were also discussed, shows that the sensitivity of temperature was bigger than dissolved oxygen and was much bigger than alkalinity.
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Stimulation based on SIMULINK for nitration reaction kinetics model

  • Received Date: 12/04/2012
  • Accepted Date: 28/12/2011
  • Available Online: 09/04/2013
Fund Project:

Abstract: The biochemical reaction of ammonia oxidizing bacteria and nitrate oxidation bacteria was predicted by utilizing the simulation dynamics model based on SIMULINK. The results indicated that it could accurately predict the bio-process of AOB and NOB in sanitary sewage treatment when dissolved oxygen concentration, alkalinity and temperature on the model were chosen appropriately. The absolute average error of simulation values of NH4+-N, NO2--N and NO3--N ranged from 1.13 to 15.88. In addition, the Nash.Suttcliffe simulation efficiency coefficient of NH4+-N, NO2--N and NO3--N were 99.36%, 98.6% and 99.25%,respectively. The sensitive analysis of dissolved oxygen concentration, alkalinity and temperature on this model , which were also discussed, shows that the sensitivity of temperature was bigger than dissolved oxygen and was much bigger than alkalinity.

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