A device is provided for metering at least one water-quality chemical in a water tank (1). The device comprises a metering duct (14) with an outlet port (16), a metering unit (13) for metering the water-quality chemical through the metering duct (14) and a control unit (12) which is connected to the water-quality sensor (10) and controls the metering unit (13), wherein the metering unit (13) and the control unit (12) are received in a housing (19) and a supply (17) is receivable in the housing (19) or connectable thereto and a carrier (9a; 9b; 24), to which a water-quality sensor (10) and an outlet port (16) of the metering duct (14) are fixed, is designed for insertion into the water tank (1), such that the outlet port (16) of the metering duct (14) is located downstream of the water-quality sensor (10).

A method for nitrate removal from drinking water. The method includes adapting a sludge including hydrogenotrophic denitrifiers (HTDs) by dominating the HTDs in the sludge, cultivating a microalgae biomass, forming a microalgae-HTD biomass by cultivating a mixture of the adapted sludge and the cultivated microalgae biomass, nucleating a plurality of microalgae-HTD granules by cultivating the formed microalgae-HTD biomass in a sequencing batch (SB) mood with a constant HRT, growing the plurality of microalgae-HTD granules by cultivating the nucleated plurality of microalgae-HTD granules in an up flow (UF) mood with a reducing HRT, and continuous nitrate removal from nitrate-contaminated water with a minimum HRT over the grown plurality of microalgae-HTD granules.

The present invention discloses a method for preparing a simultaneous nitrogen and phosphorus removal lightweight material and the use thereof, and belongs to the technical field of environmental functional materials and sewage treatment. In the present invention, sulfur and an iron-based component are thoroughly melted and dispersed to obtain a molten mixture, where the iron-based component is a mixture of iron sulfides with carbonates of calcium and magnesium; and the above molten mixture is subjected to a foaming treatment to form the simultaneous nitrogen and phosphorus removal lightweight material. The simultaneous nitrogen and phosphorus removal lightweight material of the present invention has characteristics of high porosity, a large specific surface area, a light weight, and a high reaction activity. The resultant lightweight material, used as a microbial carrier and an electron donor for a biochemical reaction, is applied to a reactor such as a fixed bed or fluidized bed for sewage treatment, with the advantages of a good microbial attachment performance, a high denitrification rate and a good phosphorus removal effect.

The present invention provides a method of treating wastewater in a wastewater system. The wastewater system comprises a treatment plant comprising a treatment space and a sewer system comprising a sewer space. The treatment plant further comprises a treatment inlet for supplying wastewater to the treatment system from the sewer system. The method comprises the step of: providing a treatment parameter being significant for purification of wastewater in the treatment plant, determining an actual spare plant capacity indicating an amount of wastewater which can be supplied to the treatment space, and determining an actual spare wastewater storage volume indicating an amount of wastewater which can be retained in the sewer space. The amount of wastewater supplied through the treatment inlet to the treatment plant is varied based on the treatment parameter, the actual spare plant capacity, and the actual spare wastewater storage volume.

Described herein are systems and methods of analyzing data acquired from a water plant, both historical and in real-time, making determinations about process and asset health diagnosis and anomaly detection using advanced techniques, and controlling the plant and/or providing alerts based on such determinations.

Systems and method for treating wastewater including a vessel having an inlet and an outlet, a pump in fluid communication with the outlet of the vessel, the pump configured to pump wastewater out of the vessel, a separator in fluid communication with the pump, the separator configured to separate grit from the wastewater, the separator having a first outlet for discharging a grit stream and a second outlet for discharging a wastewater stream, a grit washing system in fluid communication with a source of washing fluid and the first outlet of the separator, the grit washing system configured to wash and dewater grit from the grit stream, the grit washing system having an outlet for discharging a wash wastewater stream, and a return conduit configured to recycle the wastewater stream discharged from the separator to one of the inlet of the vessel and an inlet to the pump.

A method for controlling a treatment process of a medium that includes a system input and output, wherein a change in a first parameter of the medium at the system input causes a change in a second parameter at the system output only after an elapse of a dead time, and a control system, the method including determining first values of the first parameter; determining set values for an output variable influencing the second parameter at the system output using the determined first values and a first proportionality factor recorded in the control system; applying the determined set values to adjust the output variable; determining second values of the second parameters; determining deviation values representative of a deviation of the second parameter from the first parameter; and using at least one of the deviation values and at least one of the set values to determine a second proportionality factor.

Disclosed are methods of treating wastewater using a membrane bioreactor and achieving a target phosphorus concentration for the membrane permeate stream. These methods include the steps of dosing a wastewater stream with a rare earth clarifying agent and passing the dosed wastewater stream through the membrane to obtain a membrane permeate stream with a permeate concentration that is less than the phosphorus concentration of the influent stream. This permeate concentration also can be equal to or less than a target phosphorus concentration. In the methods as disclosed herein, the rare earth clarifying agent can be chloride salts of one or more rare earth elements and in certain embodiments, the rare earth clarifying agent can be CeCl.sub.3 and LaCl.sub.3.

To solve problems of frequent occurrence and great harm of membrane fouling during MBR wastewater treatment process, the invention proposes a membrane fouling intelligent early warning method to realize online and accurate early warning of membrane fouling. This early warning method achieves accurate prediction of water permeability by constructing soft-computing model based on recurrent fuzzy neural network. The intelligent early warning of membrane fouling is achieved by the comprehensive evaluation method, which solves the problem that membrane fouling is difficult to be early warning in the MBR wastewater treatment process, improves the pretreatment ability of membrane fouling, reduces the damage caused by membrane fouling, ensures the safe operation of MBR wastewater treatment process, and promotes efficient and stable operation of MBR wastewater treatment plant.

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 radial basis function (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 concentration with acceptable accuracy. Moreover, online information of effluent TN concentration 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.