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Induction of denitrification in a pilot-scale trickling filter by adding nitrate at high loading rate
H Vanhooren1, D De Pauw, P A Vanrolleghem
1BIOMATH, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium. h.vanhooren@epas.be
Summary
Adding nitrate to trickling filters can induce denitrification, enhancing organic matter removal in biofilms. This method boosts substrate removal capacity under high organic loading conditions.
Area of Science:
- Environmental Engineering
- Microbial Ecology
- Wastewater Treatment
Background:
- Biofilms facilitate organic matter removal through aerobic degradation and nitrification.
- Anoxic zones within biofilms enable denitrification for further organic matter removal.
- High organic loading rates can limit aerobic processes due to insufficient oxygen supply.
Purpose of the Study:
- To investigate the induction of denitrification by external nitrate addition in a highly loaded trickling filter.
- To assess the impact of induced denitrification on substrate removal capacity.
- To validate a biofilm model for describing experimental results.
Main Methods:
- A pilot-scale trickling filter was operated under high organic loading conditions.
- A pulse of nitrate was added to the filter to induce denitrification.
- Off-gas measurements (CO2, O2) and substrate removal were monitored.
- A mixed-culture biofilm model was extended and used for data analysis.
Main Results:
- Denitrification was successfully induced by nitrate addition at high loading conditions.
- A considerably increased substrate removal capacity was achieved.
- Increased CO2 production confirmed denitrification without significant changes in O2 consumption.
- The extended biofilm model accurately described the experimental outcomes.
Conclusions:
- External nitrate addition is an effective strategy to induce denitrification in biofilms.
- This approach significantly enhances the organic matter removal capacity of trickling filters.
- Mathematical modeling can effectively simulate and predict biofilm processes under varying conditions.