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Updated: Sep 21, 2025
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Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
Published on: December 6, 2018
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A novel approach to estimate and control denitrification performance in activated sludge systems with respirogram
Zhihua Li1, Yali Zhang1, Zhenyu Hang1
1Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Journal of Environmental Sciences (China)
|June 2, 2022
Summary
Respirograms can now evaluate anoxic denitrification. Denitrification expands flocs and increases respiration rates, leading to a new Rq/t index for estimating denitrification capacity.
Area of Science:
- Environmental Engineering
- Microbiology
- Wastewater Treatment
Background:
- Respirogram technology is established for aerobic processes.
- Its application to anoxic denitrification remains poorly understood.
- Understanding this response could improve denitrification performance evaluation.
Purpose of the Study:
- To investigate the respirogram response during anoxic denitrification.
- To explore the relationship between respiration rates and denitrification.
- To propose a novel method for estimating denitrification capacity.
Main Methods:
- Monitoring floc size distribution during denitrification.
- Measuring specific endogenous (SOUR_e) and quasi-endogenous (SOUR_q) respiration rates.
- Analyzing the correlation between SOUR_q and specific denitrification rate (SDNR).
Main Results:
- Denitrification was observed to trigger floc expansion.
- Higher SOUR_e and SOUR_q rates correlated with denitrification.
- SOUR_q showed an exponential increase with SDNR, indicating a potential maximum SDNR.
Conclusions:
- A new index, Rq/t (OURq/OURt), was proposed to estimate denitrification capacity.
- Higher Rq/t values indicate greater denitrification potential.
- This respirogram-based approach offers a simple method for denitrification estimation and control.
