Reduction and prediction of N2O emission from an Anoxic/Oxic wastewater treatment plant upon DO control and model simulation - Université de Rennes Access content directly
Journal Articles Bioresource Technology Year : 2017

Reduction and prediction of N2O emission from an Anoxic/Oxic wastewater treatment plant upon DO control and model simulation

Z. Bao
  • Function : Author
R. Li
  • Function : Author
D. Sun
  • Function : Author
H. Geng
  • Function : Author
X. Huang
  • Function : Author
J. Lin
  • Function : Author
R. Ma
  • Function : Correspondent author
X.-H. Zhang
X. Zhao

Abstract

In order to make a better understanding of the characteristics of N2O emission in A/O wastewater treatment plant, full-scale and pilot-scale experiments were carried out and a back propagation artificial neural network model based on the experimental data was constructed to make a precise prediction of N2O emission. Results showed that, N2O flux from different units followed a descending order: aerated grit tank > oxic zone ≫ anoxic zone > final clarifier > primary clarifier, but 99.4% of the total emission of N2O (1.60% of N-load) was monitored from the oxic zone due to its big surface area. A proper DO control could reduce N2O emission down to 0.21% of N-load in A/O process, and a two-hidden-layers back propagation model with an optimized structure of 4:3:9:1 could achieve a good simulation of N2O emission, which provided a new method for the prediction of N2O emission during wastewater treatment. © 2017
No file

Dates and versions

hal-01581229 , version 1 (04-09-2017)

Identifiers

Cite

S. Sun, Z. Bao, R. Li, D. Sun, H. Geng, et al.. Reduction and prediction of N2O emission from an Anoxic/Oxic wastewater treatment plant upon DO control and model simulation. Bioresource Technology, 2017, 244, pp.800--809. ⟨10.1016/j.biortech.2017.08.054⟩. ⟨hal-01581229⟩
55 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More