The present disclosure relates to liquid dispensing arrangements, and particularly to arrangements for distribution of a dispensed liquid.

Disclosed herein is a process for de-watering a sludge. The process comprises heating a de-watering fluid, and passing the de-watering fluid through the sludge, thereby de-watering the sludge. Also disclosed herein is a system for de-watering a sludge and a sludge which is at least partially de-watered according to the process.

Managed ecosystems, methods for producing managed ecosystems and methods for using managed ecosystems for sequestering carbon dioxide are described herein. Produced water is obtained and purified to sustain a managed ecosystem with saline-tolerant vegetation. The managed ecosystem biologically sequesters carbon dioxide by photosynthetically absorbing carbon dioxide from the atmosphere and by decomposition into a layer of sediment on the ecosystem floor.

A multi-time scale model predictive control method for wastewater treatment process is designed to control the dissolved oxygen concentration and nitrate nitrogen concentration in different time scales to ensure that the effluent quality meets the standard. In view of the difference of time scales in wastewater treatment process caused by different sampling periods of dissolved oxygen concentration and nitrate nitrogen concentration, prediction models with different time scales are firstly designed to unify the prediction outputs to the fast time scale. Then, the gradient descent algorithm is used to solve the optimal solution with fast time scale to control the wastewater treatment system. It not only conforms to the operation characteristics of wastewater treatment process, but also solves the problem of poor operation performance of multiobjective model predictive control caused by different time scales. The experimental results show that the multi-time scale model predictive control method can achieve accurate on-line control of dissolved oxygen concentration and nitrate nitrogen concentration with fast time scales.

A device includes a tube body 110 being filled with water; an induction coil 120 installed at a center inside the tube body 110; and a plurality of heating plates 130, 140 arranged around the induction coil 120. The device further includes a high frequency generator 180 for applying high-frequency power to the induction coil 120 to heat the plurality of heating plates 130, 140, resulting in that the water in the tube body 110 is heated and converted into micro-cluster magnetized water; and a tube 150, positioned between a pair of magnets 160, 170 for causing the micro-cluster magnetized water to pass through an N-pole and an S-pole resulting from the pair of magnets 160, 170, thereby providing it as magnetized water exhibiting a high degree of electric conductivity.

The disclosure provides two integrated methods for the production of potable water from seawater or other brackish waters using chemical forced precipitation. The process is closed loop. It recycles process reactants and produces commercially valuable potable water and salts. The technology uses a computer software method of process variable control that maintains the chemical forced precipitation process salt, solvent, and water concentrations as required to optimize water production. The process fortuitously requires less energy than other water production processes and can utilize solar hot water heating or waste heat from other combustion and seawater for heating and cooling energy sources.

A method for mitigating microbe buildup within a potable water supply system including: cleaning of the water supply system; acquiring data including at least water conditions at multiple points within the potable water supply system; a control system adjusting local water conditions within the potable water supply system; a bacteria monitor assessing water within the potable water system to determine at least levels of bacteria within the potable water system; and applying an antimicrobial condition to water within the potable water system.

The present disclosure pertains to a system configured to prepare and use prediction models for controlling contaminants of a liquid. Some embodiments may: sense, via a sensor, a magnified image of a sample of the liquid; identify at least one shape in the image; determine a relative predominance of microscopic life forms within at least a portion of the image; and generate a report indicating any required corrective action based on the identification and the determination.

A system for an efficient and sustainable electrochemical treatment of wastewater comprises a reactor tank, a first electrolyzer with a stack of electrolytic cells, each electrolytic cell comprising an anode of a first composition, and a second electrolyzer with a stack of electrolytic cells, each electrolytic cell comprising an anode of a second composition, and a contaminant concentration measuring device for monitoring the contaminant concentration in the reactor tank to the first or to the second electrolyzer. Wastewater to be treated is supplied from the reactor tank to the first electrolyzer until the contaminant concentration becomes substantially constant as measured by the contaminant removal rate being around 0 mg/h, which indicates the buildup of byproducts generated in the first electrolyzer, at which time the wastewater is supplied from the reactor tank to the second electrolyzer with anodes which can efficiently treat the byproducts of the reaction in the first electrolyzer.

A method for determining a water treatment plan for produced water includes receiving sample water analysis for the produced water, and receiving one or more key performance indicators (KPIs) that each indicate a selected treatment result for the produced water. In addition, the method includes providing the sample water analysis and the KPIs to a machine learning model and determining a water treatment plan for the produced water using the machine learning model, wherein the water treatment plan comprises one or more additives for the produced water that are to provide the produced water with the KPIs.