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Updated: May 24, 2025

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
Published on: December 6, 2018
Modeling electron competition and pH factor interactions improve cognitions of nitrite accumulation during
Xuehai Yue1, Fengjun Yin2, Hao Tan1
1Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; University of Chinese Academy of Sciences, Chongqing School, Chongqing, 400714, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
Abstract:
Electron competition (EC) and pH stress are two key factors influencing NO2- production during denitrification, but their dominance and interactions in the full pH range are poorly understood. In this study, we propose a concise Electron Competition Inhibition (ECI) model to clarify the contribution of EC and pH stress to NO2- production by characterizing the denitrifying kinetics in batch tests. The model exhibits good fitting results on NO2- accumulation across a wide NO3-/NO2- ratio range from 0 to 9, demonstrating its excellent ability in describing the EC effect and determining rate constants for NO3- and NO2- reductions. Therefore, accurate pH-dependent relationships of NO3- and NO2- reduction rates in a pH range of 5.0-10.6 are demonstrated using this model. The results show that EC dominates NO2- production in a near-neutral pH range from 6.6-9.0, while pH stress plays a dominant role at pH 5.8-6.8 and 9.1-10.1. Within near-neutral range, maintaining a NO3-/NO2- ratio greater than 0.1 or a COD/NO3- ratio smaller than 3 favors NO2- production due to the preferential supply of electrons to NO3- reduction. This provides a kinetics kinetic strategy to shorten reaction time and a stoichiometric strategy to control the addition of carbon sources for maintaining partial denitrification in biological nitrogen removal processes.
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