In various implementations, methods and systems are designed for predicting effluent total phosphorus (TP) concentrations in an urban wastewater treatment process (WWTP). To improve the efficiency of TP prediction, a particle swarm optimization self-organizing radial basis function (PSO-SORBF) neural network may be established. Implementations may adjust structures and parameters associated with the neural network to train the neural network. The implementations may predict the effluent TP concentrations with reasonable accuracy and allow timely measurement of the effluent TP concentrations. The implementations may further collect online information related to the estimated effluent TP concentrations. This may improve the quality of monitoring processes and enhance management of WWTP.

The present invention provides processes for removing nitrogen species from fresh water or high salinity water recirculated aquaculture systems. The processes are based on physico-chemical treatments which are performed at ambient temperatures and at low pH values thus keeping the total ammonia nitrogen concentrations below a value which is considered detrimental for the growth or survival rate of cultured fish/shrimp.

The present invention relates to a biological filtration process for water loaded with nitrogenous pollutants in order to reduce the global nitrogen content of said water, characterised in that it comprises a first step of nitritation and filtration carried out in a first aerated biological reactor, a second step of deammonification, denitrification and filtration carried out in a second non-aerated biological reactor, and a step of evaluation of the ratio of the nitrite content to the ammoniacal nitrogen content of the water at the outlet of the first reactor. When this ratio is greater than a predetermined stoichiometry value, the process according to the invention comprises a step of addition of water to be treated to the water originating from the first reactor so as to obtain, at the inlet of the second reactor, a mixture having a ratio of the nitrite content to the ammoniacal nitrogen content that is close to the stoichiometric ratio of the Anammox reaction.

Methods and systems for electrochemical treatment of fertigation water for use and for recycling in agricultural systems such as in controlled environment agricultural systems.

The present invention relates to a process for refinery wastewater treatment. More particularly, the present invention relates to an automated process for treatment of refinery wastewater. The process of the present invention provides complete automation for controlling different critical parameters that enhance biological activity of activated sludge process (ASP) and helps in significant reduction in sludge recycling that increases the treatment efficiency.

The system comprises a pre-denitrification unit, an anaerobic ammonia oxidation unit, an advanced denitrification unit and a Fenton unit. The pre-denitrification unit is configured for hydrolyzing suspended pollutants and soluble organic matters in wastewater into organic acids, oxidizing ammonia nitrogen into nitrate, and finally converting the nitrate into nitrogen and absorbing phosphorus. The anaerobic ammonia oxidation unit is configured for converting a part of ammonia nitrogen in the wastewater into nitrite nitrogen through short-cut nitrifying bacteria and reacting the ammonia nitrogen with the nitrite nitrogen through anaerobic ammonia oxidation bacteria to generate nitrogen. The advanced denitrification unit is configured for reducing nitrate nitrogen into nitrogen through a carbon source and removing residual ammonia nitrogen, COD.sub.Cr and BOD.sub.5. The Fenton unit is configured for removing refractory organic matters and metal ions and adjusting the pH value of discharged water, so that the discharged water reaches the standard.

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.

In general, a method for treating biosolids may include measuring one or more of pH, alkalinity, magnesium concentration, ortho-phosphorus concentration, total phosphorus content, ammonia content, total nitrogen content, total solids content, total volatile solids, polymer consumption, and metal salt consumption associated with a treatment process for wastewater solids. A metal salt dosage for amending the wastewater solids may be determined based upon, at least in part, an initial ortho-phosphorus concentration and a reduction capacity of the metal salt. A magnesium compound dosage may be determined for one or more of increasing, decreasing, and maintaining a pH of the wastewater solids. The magnesium compound dosage may be based upon, at least in part, a calculated anticipated change in pH of the wastewater solids resulting from an addition of the metal salts. The method may also include amending the treatment process with the determined metal salt dosage and the determined magnesium compound dosage.

Methods and systems for controlling a denitrification reaction in a biological nitrogen removal reactor including denitrifying bacteria to favor denitratation of nitrate to nitrite and limit denitritation of nitrite to nitrogen gas are disclosed. pH, dissolved oxygen levels, solids retention time, and chemical oxygen demand to nitrogen ratio are controlled to favor this reaction. Wastewater or contaminated groundwater including concentrations of ammonium and nitrate are continuously fed to the biological nitrogen removal reactor along with a source of carbon and electrons as an influent, which is treated to form a nitrite effluent. The nitrite effluent may then be fed to an anammox reactor including anammox bacteria for production of nitrogen gas. The system may be operated under substantially anoxic conditions, which provides significant cost savings without sacrificing efficiency or productivity compared to traditional wastewater treatment systems and processes.

A method for wastewater treatment that comprises receiving influent readings from sensors located along influent stream(s) of a wastewater treatment unit, effluent readings from sensors located along effluent stream(s) of the wastewater treatment unit, a feedback flow variable calculated according to a state of a feedback flow channel between an effluent output and an influent input, analyzing the influent readings and the effluent readings to extract an influent flow variable, a total nitrogen at effluent variable and a total phosphorus at effluent variable, and calculating control instructions to control the wastewater treatment unit by assigning a combination of a cost variable reflecting a treatment cost for treating the influent stream(s), a time period, the influent flow variable, the total nitrogen at effluent variable, the total phosphorus at effluent variable, and the feedback flow variable in a state space of the wastewater treatment unit.