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Updated: Jun 10, 2026

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
Published on: December 6, 2018
A pH-control model for heterotrophic and hydrogen-based autotrophic denitrification
Youneng Tang1, Chen Zhou, Michal Ziv-El
1Center for Environmental Biotechnology, Biodesign Institute at Arizona State University, 1001 South McAllister Avenue, Tempe, AZ 85287-5701, USA. tayone0916@hotmail.com
A new model predicts alkalinity, pH, and Langelier Saturation Index (LSI) in denitrification systems. It helps manage water chemistry to prevent scale formation and optimize denitrification efficiency.
Area of Science:
- Environmental Engineering
- Water Chemistry
- Biotechnology
Background:
- Denitrification processes require careful control of water chemistry to maintain optimal conditions.
- Alkalinity, pH, and saturation indices are critical parameters influencing denitrification efficiency and preventing mineral precipitation.
- Existing models may not fully capture the nuances of different denitrification systems, particularly those treating hard groundwater.
Purpose of the Study:
- To develop and validate a predictive model for alkalinity, pH, and Langelier Saturation Index (LSI) in both heterotrophic and autotrophic denitrification systems.
- To provide tools for estimating acid addition (HCl) or pH set points (CO2 sparging) to maintain optimal water chemistry.
- To compare water chemistry dynamics between different stages and denitrification types.
Main Methods:
- Development of a mathematical model integrating chemical and biological parameters of denitrification.
- Experimental validation using two pilot-scale denitrification plants: one heterotrophic (ethanol donor) and one H(2)-based autotrophic.
- Comparative analysis of measured versus predicted alkalinity, pH, and LSI in both systems and across different stages.
Main Results:
- The model accurately predicted alkalinity, pH, and LSI in both tested denitrification systems.
- Significant differences in alkalinity and pH were observed between Stage-1 and Stage-2 of the denitrification process.
- Distinct pH and LSI profiles were found between the two systems, despite similar alkalinity increases, highlighting system-specific chemical behaviors.
Conclusions:
- The developed model offers a reliable method for predicting and managing water chemistry in diverse denitrification systems.
- The study elucidates key differences in water chemistry between heterotrophic and autotrophic denitrification, informing process optimization.
- Recommendations are provided for acid addition strategies, favoring CO2 for autotrophic and HCl for heterotrophic systems to prevent scaling and maintain optimal pH.
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