Abstract: A method for collaborative optimization control method for organic nitrogen and inorganic nitrogen in a denitrification process is provided. The method includes: establishing ASM-mDON-DIN models for simultaneous simulation of microbial dissolved organic nitrogen (mDON) and inorganic nitrogen (DIN) in denitrification processes; and selecting a corresponding ASM-mDON-DIN model according to a set carbon/nitrogen ratio to collaboratively optimize the concentration values of mDON and DIN in the effluent in the denitrification process, to obtain best process operation parameter values.

Abstract: A system for cleaning wastewater, includes: an absorption-biodegradation-denitrification (ABN) reactor, a sequential adsorption reactor, a disinfection reactor, and a sludge anaerobic fermentation reactor. The ABN reactor is an integrated reactor including: a biosorption tank, an intermediate sedimentation tank, a biologically-enhanced degradation tank, a denitrification biofilter, and a secondary sedimentation tank. The pretreated wastewater is introduced into the ABN reactor for removal of chemical oxygen demand, nitrogen and phosphorus; the ABN reactor effluent is introduced into the sequential adsorption reactor for the removal of high-risk pollutants; the sequential adsorption reactor effluent is introduced into the disinfection reactor for the elimination of viruses and other pathogenic microorganisms; the sludge produced by the ABN reactor is introduced into the anaerobic sludge fermentation reactor for alkaline fermentation.

Abstract: The disclosure provides a method for evaluation of removal of nitrogen-containing organic matter from the wastewater.

Abstract: A method for identifying and analyzing dissolved organic nitrogen of different sources in wastewater includes extracting DON in wastewater to obtain a DON extract, detecting mass spectrum peaks in the DON extract, pre-processing the spectral data of the wastewater sample; constructing a network relationship of the substance reaction in the wastewater sample; screening the substance reaction relationship of DON; and determining different sources of DON.

Abstract: A method for evaluating bioavailability of organic nitrogen in sewage through machine learning, includes: collecting the molecular composition information and bioavailability data of organic nitrogen in a sewage sample; establishing a model for predicting bioavailability of organic nitrogen in sewage through machine learning; measuring the molecular composition information of organic nitrogen in sewage from a target sewage plant; and predicting, according to the model, the bioavailability of the organic nitrogen in the sewage from the target sewage plant.

Abstract: A method for collaborative optimization control method for organic nitrogen and inorganic nitrogen in a denitrification process is provided. The method includes: establishing ASM-mDON-DIN models for simultaneous simulation of microbial dissolved organic nitrogen (mDON) and inorganic nitrogen (DIN) in denitrification processes; and selecting a corresponding ASM-mDON-DIN model according to a set carbon/nitrogen ratio to collaboratively optimize the concentration values of mDON and DIN in the effluent in the denitrification process, to obtain best process operation parameter values.

Abstract: A system for cleaning wastewater, includes: an absorption-biodegradation-denitrification (ABN) reactor, a sequential adsorption reactor, a disinfection reactor, and a sludge anaerobic fermentation reactor. The ABN reactor is an integrated reactor including: a biosorption tank, an intermediate sedimentation tank, a biologically-enhanced degradation tank, a denitrification biofilter, and a secondary sedimentation tank. The pretreated wastewater is introduced into the ABN reactor for removal of chemical oxygen demand, nitrogen and phosphorus; the ABN reactor effluent is introduced into the sequential adsorption reactor for the removal of high-risk pollutants; the sequential adsorption reactor effluent is introduced into the disinfection reactor for the elimination of viruses and other pathogenic microorganisms; the sludge produced by the ABN reactor is introduced into the anaerobic sludge fermentation reactor for alkaline fermentation.

Abstract: The disclosure provides a method for evaluation of removal of nitrogen-containing organic matter from the wastewater.

Abstract: A method for identifying and analyzing dissolved organic nitrogen of different sources in wastewater includes extracting DON in wastewater to obtain a DON extract, detecting mass spectrum peaks in the DON extract, pre-processing the spectral data of the wastewater sample; constructing a network relationship of the substance reaction in the wastewater sample; screening the substance reaction relationship of DON; and determining different sources of DON.

Abstract: A method for building a predictive model of mDON in wastewater, including a) acquiring a kinetics associated with production and consumption of a mDON of an activated sludge system, and importing a kinetic expression of the mDON into a conventional activated sludge model No. 1 (ASM1) to build a kinetic equation for the mDON; b) inputting component variables, parameter variables, model matrices, process rate equation and operating parameters of a predictive model into a simulation software AquaSim to build an ASM-mDON model; c) inputting initial values of the component variables and the parameter variables into the simulation software AquaSim for model initialization; d) acquiring initial mDON kinetic and sensitivity analysis results, selecting corresponding parameters, calibrating kinetic and stoichiometric parameters of the ASM-mDON model using a parameter estimation function of the simulation software AquaSim; and e) replacing the initial values of the ASM-mDON model with optimal values obtained in d).