Method implemented in wastewater monitoring system for evaluating bioavailability of organic nitrogen in wastewater

A method implemented in a wastewater monitoring system for evaluating bioavailability of organic nitrogen in wastewater,

• wherein,
• the wastewater monitoring system comprises a first wastewater treatment plant, a second wastewater treatment plant, a first Fourier Transform Ion Cyclotron Resonance Mass Spectrometer, a second Fourier Transform Ion Cyclotron Resonance Mass Spectrometer, a processor, and a process control unit;
• the first Fourier Transform Ion Cyclotron Resonance Mass Spectrometer is coupled to the first wastewater treatment plant and configured to continuously analyze organic nitrogen composition data;
• the second Fourier Transform Ion Cyclotron Resonance Mass Spectrometer is coupled to the second wastewater treatment plant;
• the processor is coupled to the first Fourier Transform Ion Cyclotron Resonance Mass Spectrometer, the second Fourier Transform Ion Cyclotron Resonance Mass Spectrometer, and the process control unit;
• and the process control unit is coupled to the second wastewater treatment plant and configured to automatically adjust operational parameters of the second wastewater treatment plant based on a bioavailability value to maintain effluent nitrogen concentrations below regulatory thresholds;
• the method comprising:
• (1) obtaining, by using the first Fourier Transform Ion Cyclotron Resonance Mass Spectrometer, first molecular composition information of organic nitrogen in a plurality of wastewater samples collected from the first wastewater treatment plant;
• and obtaining bioavailability data corresponding to the first molecular composition information, wherein the bioavailability data is measured through algal bio-culture experiments;
• (2) training, by the processor, a random forest model using the first molecular composition information and the bioavailability data to obtain a trained random forest model, wherein the trained random forest model is configured to predict the bioavailability value based on the first molecular composition information and the corresponding bioavailability data;
• (3) receiving, by the processor from the second Fourier Transform Ion Cyclotron Resonance Mass Spectrometer, second molecular composition information of organic nitrogen in wastewater from the second wastewater treatment plant;
• and
• (4) inputting, by the processor, the received second molecular composition information into the trained random forest model to generate a predicted bioavailability value;
• transmitting, by the processor, the predicted bioavailability value to the process control unit;
• and adjusting, by the process control unit, the operational parameters of the second wastewater treatment plant based on the predicted bioavailability value.