A filter manifold is provided for processing fluid being provided to a fluid dispenser, featuring a new and unique combination of a mounting bracket, a filter cartridge and an accumulator cartridge. The mounting bracket is configured with porting connections. The filter cartridge may include a filter cartridge porting connection configured to plumb into one of the porting connections on the mounting bracket and also configured to filter the fluid being provided to the fluid dispenser. The accumulator cartridge includes an accumulator cartridge porting connection configured to plumb into another one of the porting connections on the mounting bracket and also configured to receive, accumulate and provide the fluid to the filter cartridge to be filtered before being provided to the fluid dispenser.

A method for operating a water treatment plant comprises a phase of detecting anomalies in the operation of the plant, wherein the phase of detecting anomalies comprises an implementation of the following measures: providing data representative of the operating state of the plant, said data being provided by sensors installed at selected locations in the plant itself or on input or output pipes of the plant; where appropriate, providing additional data; and providing a system for acquiring and processing these data, this system being equipped with an algorithm for processing said data.

The current invention relates to an artificial intelligence, internet of things (IoT) based water body management system. The water body management system of the invention comprises of an aeration module, a nutrient dispensing module, and a sensor module which monitors and maintains water quality parameters. The artificial intelligence module configured with the sensor module trains the data obtained from the sensors and inputs to the aeration, nutrient dispensing or other modules. The current invention has applications in aquaculture management, management of water bodies like lakes, reservoirs, and ponds.

A system and method for monitoring disinfectant levels in non-human animal drinking water using ORP and optionally pH measurements and adding disinfectant or pH adjusting agents as needed. Sensors obtain measurements of the water upstream of a point of consumption and a controller compares measurements to predetermined thresholds, ranges, or previous measurements to determine if the disinfectant and optionally pH levels are within a desired range or above or below a desired minimum or a desired maximum value. A disinfectant dosing system preferably automatically adds disinfectant to the supply line based on the measurement comparison. A flow switch preferably keeps the system from activating disinfectant addition when water in the supply line is static (non-flowing). An alert is preferably triggered when a measurement indicates the disinfectant level is too low or too high or when a volume of disinfectant in the dosing system is below a predetermined volume threshold.

A process for continuously treating a stream of water (for example, a stream of oil and gas well wastewater) to remove contaminants therefrom is provided. The process comprises: a) testing the stream of water to determine if it contains biological matter and, if necessary, removing biological matter from the stream; b) testing the pH level of the stream and, if necessary, adjusting the pH level of the stream; c) separating the stream of water into a sludge discharge stream and a separator unit effluent stream; d) separating the separator unit effluent stream into a steam discharge stream and a concentrated brine stream; and e) separating the concentrated brine stream into a chlorine gas stream and at least one of a sodium stream and a calcium stream. A corresponding system is also provided.

A risk prediction and early warning method for water environments based on a water environment model predicting pollution discharge information for all pollution sources in a watershed, and including: selecting pollution sources requiring environmental risk prediction and early warning and dividing these into different risk prediction/early warning levels; determining from official environmental monitoring data and literature research initial elements for environmental pollution risk evaluation; obtaining principal pollution elements affecting pollution events; generating a plurality of environmental risk prediction and early warning models; forming a comprehensive fuzzy risk prediction and early warning model by combining the several risk prediction and early warning models having the best selective performance; inputting principal pollution element values into the comprehensive fuzzy risk prediction and early warning model, and predicting risk values for pollution events at pollution sources. The present method realizes prediction of watershed pollution risk, and resolves present deficiencies in watershed pollution risk prediction and early warning, while improving coverage rates for watershed pollution risk prediction and enhancing the accuracy thereof.

Fluid purification systems employing a monolithic composite photocatalyst to remove volatile organic compounds (VOCs) and/or pathogenic organisms are disclosed. Pairing of systems tuned to abate each of these materials are discussed in different configurations such as series and parallel, as well as combining systems to target both materials simultaneously. System configurations that allow a portion of the fluid stream to be purified are also disclosed as are configurations that allow regeneration of the photocatalyst. These features may be augmented by sensors that allow closed loop control of bypass and regeneration cycles in the systems.

A method, system, and computer readable storage medium for determining an optimal amount of coagulant to be added to water for coagulation treatment. The method includes predicting a water quality index that would be achieved for a corresponding nominal coagulant dose by evaluating at least one coagulation-related incoming water parameter of water that has not been treated with coagulant, with a first mathematical model constructed from historical data including (i) previously administered coagulant dosages; and (ii) previously determined values of the water quality index of the water. The method also includes determining whether the predicted water quality index is within a target range. If the predicted quality index is not within the target range, then the coagulant dosage can be adjusted, and the adjusted dosage can be evaluated to predict the water quality index that would be achieved if the adjusted coagulant dosage is administered to the water.

An efficient and low-cost process for gravity thickening and fermentation of waste activated sludge withdrawn from the surface of an activated sludge aeration basin for use with treatment systems designed for “enhanced biological phosphorus removal” (EBPR). One or more reactor tanks are used for the process with the steps of: A fill cycle, in which the waste mixed liquor flows into the tank, followed by a settle cycle, in which the mixed liquor is allowed to settle for a period of time, followed by a decant cycle, in which the clear liquid is withdrawn. The withdrawal of a volume of the settling mixed liquor for discharge is then followed by a ferment period for the remaining settled mixed liquor solids and a transfer of the fermented mixed liquor solids back to the activated sludge liquid stream process.

Methods to remediate a contaminated material are provided. In one embodiment, a biocatalyst that digests hydrocarbon contaminants is activated with a nutrient and the activated biocatalyst is combined with the contaminated material and water to form a mixture. The mixture is incubated for a period of time, and the level of contaminant in the mixture is determined to ascertain whether to incubate further, add additional biocatalyst mix, or provide the remediated material for further processing. In one embodiment, the remediated material is provided for reuse or recycling with a second material, such as a construction aggregate. The method is particularly suited for remediation of drill cuttings, mine tailings, hydrocarbon-contaminated soil, and the like.