Robust Wastewater Characterisation for the Development of a Biokinetic-Artificial Intelligence Hybrid Model to Reduce Nitrous Oxide Emissions

“Nitrous oxide (N2O), is considered a potent and very harmful greenhouse gas (GHG); in addition, N2O is also considered to contribute to the depletion of the ozone layer in the stratosphere. With the global warming potential of N2O being as high as 298 times greater than that of CO2 on a 100-year time scale, identifying and mitigating the anthropogenic sources of N2O is crucial in curbing its harmful environmental effects. In the past decade, wastewater treatment plants (WWTPs) are increasingly considered to be one of the potent sources of N2O, and therefore, advance wastewater treatment technologies and operational strategies to reduce the generation of the harmful N2O gas are being investigated. For that purpose, a clear understanding and representation of the process conditions in the system is necessary in order to investigate mitigation measures. One such approach that can be utilized is in the form of a biokinetic model, using widely known Activated Sludge Models (ASMs) that have been extended to include the N2O production pathways.”

(Citation: Seshan, S., Poinapen, J., Azé, A., van Lier, J.B., Kapelan, Z. – Robust Wastewater Characterisation for the Development of a Biokinetic-Artificial Intelligence Hybrid Model to Reduce Nitrous Oxide Emissions – AIWW Conference, 11 November 2021)