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.

In this present disclosure, a computing implemented method is designed for predicting the effluent total nitrogen concentration (TN) in an urban wastewater treatment process (WWTP). The technology of this present disclosure is part of advanced manufacturing technology and belongs to both the field of control engineer and environment engineer. To improve the predicting efficiency, a recurrent self-organizing RBF neural network (RSORBFNN) can adjust the structure and parameters simultaneously. This RSORBFNN is developed to implement this method, and then the proposed RSORBFNN-based method can predict the effluent TN with acceptable accuracy. Moreover, online information of effluent TN may be predicted by this computing implemented method to enhance the quality monitoring level to alleviate the current situation of wastewater and to strengthen the management of WWTP.

Method and device for treating coking wastewater through denitrification and anammox are provided. The device includes an anaerobic reactor, an anoxic reactor, a sedimentation tank, and an aerobic reactor sequentially communicated, and a coking wastewater tank communicated with the anaerobic reactor through an influent pump. The present disclosure promotes the formation of microgranular sludge in the device through a composite powder carrier, and promotes sulfur-based autotrophic denitrification in anaerobic and anoxic zones through pyrite in the composite powder carrier and an additional sulfur source, and promotes anammox in the anaerobic zone through NO.sub.2.sup.N produced by sulfur-based autotrophic denitrification in the anoxic zone. The present disclosure forms a dual-sludge system through the sedimentation tank to reduce reducing inorganic sulfur-containing substances that compete with nitrifying bacteria, and achieves nitrification in the aerobic zone while oxidizing ionic reducing inorganic sulfur-containing substances. The present disclosure discharges treated wastewater through a membrane component.

The aquatic installation monitoring system (100) comprises: at least one physical/chemical sensor (110, 117, 159, 181, 182, 183 and/or 184), configured to provide series of at least one sensed value representative of a local physical/chemical parameter, and at least one optical sensor (115, 118), configured to provide a graphical representation of water in the aquatic installation and/or the aquatic installation, and an aquatic installation state determination means (120), comprising a computing device configured to receive and to process at least one series of a local physical/chemical parameter and/or at least one graphical representation to determine a value representative of an aquatic installation state.

A method for reducing mDON concentration 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 to build an ASM-mDON model; c) inputting initial values of the component variables and the parameter variables into the simulation software 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; and e) replacing the initial values of the ASM-mDON model with optimal values obtained in d).

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.

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.

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 p H 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.

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.

A sewage treatment apparatus comprises an external box body internally being provided with an anaerobic zone, an aerobic zone, a settling zone, a sludge reduction zone and an apparatus zone separated from each other, wherein the anaerobic zone, the aerobic zone, the settling zone and the sludge reduction zone communicate in sequence, the anaerobic zone communicates with a septic tank, the aerobic zone communicates with the anaerobic zone to reflux a part of mixed liquor to the anaerobic zone, the settling zone communicates with the anaerobic zone to reflux a part of active sludge to the anaerobic zone, and the sludge reduction zone communicates with the anaerobic zone or the septic tank; and the apparatus zone is internally provided with a detection unit for detecting various parameters during a sewage treatment process and a controller for controlling working states according to a detection result of the detection unit.