A system, methodology, and programming logic for active stormwater controls to optimize sizing and design of Hydromodification Management (HM) structural Best Management Practices (BMPs) to achieve optimal flow duration control. Control logic enables the controlled release of stormwater from a BMP in a manner most akin to pre-development flow duration curves. Inputs to this logic include: flow duration curves based on continuous hydrologic simulation for pre- and post-development conditions; real-time measurement of water level within the BMP; and real-time measurement of discharge entering the BMP. This control logic can interact with control logic for other stormwater management objectives, such as harvest and reuse, infiltration, and combined sewer overflow prevention, and respective inputs, such as real-time weather forecast data, precipitation gage data, downstream flow gauge data, and water quality data, to meet those design objectives as well. New HM BMPs can be optimized to be smaller and, thus, more feasible to implement. Existing stormwater facilities designed for flood control or other management objectives can be retrofitted to provide hydromodification control as well. When utilized with real-time flow and water level monitoring equipment and data, the flow release logic can be adaptively adjusted without physical retrofit of the BMP's outlet.

A water and wastewater treatment process optimization and automatic design system and a design method using the same of the present invention can optimize water and wastewater treatment processes for design of a water and wastewater treatment device that includes a plurality of treatment processes and can automatically generate design deliverables such as drawings, bills of quantities, etc., for design of an optimal process configuration.

Disclosed is an intelligent circulation and allocation control system for multiple surface and ground water resources, including a physical, chemical and biological multi-stage decentralized restoration system, which is respectively connected with a water quality detection and reinjection system, an integrated data processing system, an intelligent safety early warning system, and an asynchronous and self-adaptive dual-regulation optimization control system, the water quality detection and reinjection system is connected with the intelligent safety early warning system, the intelligent safety early warning system is connected with the integrated data processing system, and the integrated data processing system is further connected with the asynchronous and self-adaptive dual-regulation optimization control system. The intelligent circulation and allocation control system is based on an improved wastewater treatment process coupling physical, chemical and biological technologies and combined with an artificial intelligence technology to treat various water sources in a macroscopic water environment and optimize allocation control.

A method for determining a contribution rate of pollution load in a water quality assessment section of an annular river network system based on water quantity constitute comprises the following steps: defining all water quantity components (rainfall, pollution discharge and water diversion) according to a water quantity source condition of a river network water system in a research region; calculating a water quantity ratio of each water quantity component in each water quality assessment section; collecting flow rate of point source pollution and corresponding pollutant discharge amount, calculating a water quantity weighted average concentration of all point source pollutants, and calculating a runoff rate and a pollution load of all land use types and an average concentration of non-point source pollutants by utilizing a hydrological model and a pollution load model; and calculating the contribution rate of pollution load in the water quality assessment section.

A device and a method for removing fats, oils and/or grease (“FOGs”) from water comprise a separator, wherein the separator removes the FOGs that separate from the water under gravity, and a filter wherein the filter removes the FOGs remaining in the water after the water has passed through the separator. The filter comprises several layers having different compositions suitable for removing FOGs from water, including a layer comprising granular activated carbon bonded together and wrapped in polyester.

The present invention provides a multi-stage filter system suitable for the production of drinking water from a wide variety of contaminated water sources. The modular nature of the multi-stage filter system allows for the customization of filter combinations according to the remediation requirements. The multi-stage filter system comprises a coarse filter (S1); an ultrafiltration filter (S2); a graphene-based filter (S3); and a residual nanoparticle filter (S4). The graphene-based filter cartridge comprises few-layer graphene powder; a combination of few-layer graphene powder and pellets comprising a mixture of polyethersulfone, graphene oxide (GO), and dimethylformamide; a composite comprising chitosan, GO, sodium sulfate and ferric chloride; or a combination of few-layer graphene powder, granular activated carbon and a composite comprising chitosan, GO, sodium sulfate and ferric chloride.

The present disclosure refers to a method and a system of sudden water pollutant source detection by forward-inverse coupling, including: building an one-dimensional forward water quality simulation model of a river way according to acquired mechanical parameters and water quality parameters; according to the one-dimensional forward water quality simulation model of the river way, measuring and calculating each monitoring index by using an inverse optimization source-detection model; by constructing the one-dimensional forward water quality simulation model of the river way, using the inverse optimization source-detection model for measurement and calculation; and performing the Bayesian updating, in order to realize multi-information fusion. The present disclosure may reasonably control and use different observation information, and combine the redundancy or complementarity of multi-sourced information in space or in time to obtain consistent interpretation of the measured object, thus overcoming the uncertainty of the water environment, improving the accuracy of water pollutant source detection.

Vaults, boxes, systems, and methods of treatment systems to capture pollutants from storm water runoff and prevent the conveyance of these pollutants from entering a receiving water body or landscape area, which is designed to be a part of a local permanent storm water drainage infrastructure. A single treatment box, vault and system combines both drainage conveyance, multi-level treatment techniques, variable hydraulic capabilities, and easy and inexpensive methods for servicing the system. A flow spreader having a triangular shape with straight sides, or concave sides or convex sides can split incoming water to pass into dual screen filtration systems. Additionally, an upwardly angled debris ramp above a downwardly angled screened defector can be located on both sides of the flow spreader to help direct debris and trash into dual screened boxes. The system can also include components selected from a shelf beneath the spreader, at least one baffle, skimmer, deflectors, media filtration and hydroslide water pressure lines with spray heads for cleaning debris on a sloped floor.

Systems, methods, and non-transitory computer-readable storage media for predicting the water quality within a geographic area based on hydrology data, contaminant data, and/or weather data using Artificial Intelligence (AI). The system can receive hydrology data for a predefined geographic region and real-time sensor data associated with water quality within the predefined geographic region. The system can then initiate a serverless AI algorithm using the hydrology data and the real-time sensor data, then receive output of the algorithm including an initial water quality score. The system can then adjust the initial water quality score based on contaminants within the predefined geographic region and transmit the resulting water quality index score to a mobile computing device.

A system and process for decontaminating a bio-contaminated wastewater fluid as from a slaughterhouse or similar facility. The system and process recovers purified vapor/steam through a decontamination unit having a plurality of alternating rotating trays and fixed baffles in a processing vessel producing separate purified and contaminant streams. One or more filter/strainer units are disposed in parallel before the decontamination unit, and may be used alternately while the other is cleaned. A rotating shaft connected to the rotating trays may also connected to an electrical generator to provide electricity for circuits and controls in the system.