Related Experiment Videos
Biological denitrification in a closed seawater system
G Grguric1, S S Wetmore, R W Fournier
1Marine Science Program, Richard Stockton College of New Jersey, Pomona 08240, USA. iaprod730@stockton.edu
Chemosphere
|February 9, 2000
Summary
A biological denitrification system effectively reduced high nitrate levels in a closed aquarium system. Nitrogen gas removal proved to be the key factor in optimizing this process.
Area of Science:
- Marine Biology
- Environmental Science
- Aquaculture Engineering
Background:
- High nitrate concentrations pose challenges in closed marine systems, particularly in aquariums where water changes are limited.
- The Ocean Tank at the New Jersey State Aquarium experienced nitrate buildup, reaching 9500 microM after six years.
Purpose of the Study:
- To assess the performance of a newly installed biological denitrification system in reducing nitrate levels.
- To develop predictive models for system operation and optimization.
- To evaluate additional benefits of the denitrification system on water chemistry.
Main Methods:
- Installation and monitoring of a biological denitrification system using methanol as an electron donor.
- Development of two semi-empirical models: one based on methanol addition and another on nitrogen gas removal.
- Empirical measurement of nitrate decrease and nitrogen gas removal rates.
Main Results:
- Nitrate concentration decreased from 9500 microM to 7000 microM within 100 days of system operation.
- The denitrification system positively impacted pH and alkalinity, creating a beneficial reducing environment.
- A model based on nitrogen gas removal accurately predicted the observed nitrate decrease (25 microM/day vs. empirical 23 microM/day).
Conclusions:
- Biological denitrification is an effective method for managing high nitrate levels in closed marine aquarium systems.
- Nitrogen gas removal is the critical factor controlling denitrification efficiency in this system.
- The developed model based on nitrogen gas removal can be utilized for predicting and optimizing denitrification system performance.