An autonomous water treatment system can include a vessel comprising one or more thrusters, a base, and a dome. The base and the dome can form a housing when attached to each other, and the thrusters can be configured to rotate to steer the vessel. The treatment system can include solar panels mounted on an exterior surface of the dome, and batteries disposed inside the housing. The batteries can be recharged by energy generated by the solar panels. The treatment system can include a gas infusion system disposed inside in the housing. The gas infusion system can be configured to receive a flow of water from a body of water, infuse said flow of water with oxygen, remove dissolved nitrogen from said flow of water, and return the oxygen infused water to the body of water under pressure to propel the vessel along the body of water.

A method for predicting operation effectiveness of a decentralized sewage treatment facility by using a support vector machine, comprising: simultaneously collecting an influent conductivity and an effluent conductivity, and recording operation effectiveness of the decentralized sewage treatment facility; training a training set by using the support vector machine, with the influent conductivity and effluent conductivity as input and the operation effectiveness of decentralized sewage treatment facilities as output, so as to construct a prediction model for the operation effectiveness of decentralized sewage treatment facilities; and collecting the influent conductivity and effluent conductivity of the treatment facilities to be predicted, and inputting them into the prediction model to obtain a predictive result. The method is not only highly accurate, but fast and inexpensive.

The invention discloses a spatial and temporal feature-based method for measuring domestic wastewater effluent loadings, comprising the following steps: establish a model for measuring regional domestic wastewater effluent loadings; calculate regional population distribution raster data; obtain per capita effluent loading coefficients with spatial and temporal differences; calculate regional domestic wastewater effluent loadings; and compare and analyze the temporal fluctuation features and spatial variation features of regional domestic wastewater effluent loadings and identify hotspot periods and areas of effluent loadings. Compared with the prior art, the method for measuring domestic wastewater effluent loadings provided by the present invention is flexible, convenient and highly universal, which can significantly raise the temporal-spatial resolution of the pattern of regional domestic wastewater effluent loadings. The data needed are also publicly available. This invention can help identify key pollution areas and periods and lay a methodological foundation for precision pollution control.

The present invention provides a sewage treatment biological agent and a preparation method and application thereof. The sewage treatment biological agent according to an embodiment of the present invention includes an induced nucleus. The induced nucleus has good bioaffinity. A microbial flora can be attached to the induced nucleus to achieve rapid growth. As the microbial flora gathers and grows on the induced nucleus, the granulation is gradually achieved by the sewage treatment biological agent to facilitate the sewage treatment. The microbial flora grows on the induced nucleus, and the growth process of microbial flora is a covering growth process which starts from the induced nucleus and gradually expands outward and centers on the induced nucleus. During the growth of microbial flora, extracellular polymers are secreted, which can further promote the granulation process by the sewage treatment biological agent.

High levels of polyhydroxyalkanoates (PHA) can be produced from wastewater comprising Readily Biodegradable COD (RBCOD) using activated sludge comprising microorganisms capable of accumulating PHA by contacting the wastewater with the activated sludge in the presence of dissolved oxygen during a first period of time, to obtain PHA-loaded activated sludge, and then supplying elements essential for growth such as nitrogen and phosphorus and allowing up-take of these elements and limited growth during a second period of time, the supplied amount of at least of one of said essential elements compared to the amount of RBCOD supplied in step a) limiting the growth to an extent that not all PHA is used for growth, to obtain grown activated sludge; and removing or harvesting part of the PHA-loaded activated sludge and/or part of the grown activated sludge, so that the total average retention time of the sludge is less than 72 h.

A system for treating nitrate nitrogen sewage by autotrophic denitrification subsurface flow constructed wetland and a method thereof. The system includes a wetland pool body, a wetland substrate, a water distribution device, a water outlet device, and plants. The wetland substrate is filled in the wetland pool body. The wetland substrate includes pyrite, volcanic rock, and biochar. The water distribution device is located at the top of the wetland pool body to distribute water into the wetland pool body, and the water outlet device is located at the bottom of the wetland pool body to collect treated sewage. The plant is planted in the wetland substrate. The dissolved oxygen concentration of the system for treating nitrate nitrogen sewage by autotrophic denitrification subsurface flow constructed wetland is maintained at 1.2?2.8 mg/L.

Systems and methods for enabling dynamic volumetric transitioning and segmentation of treatment conditions are disclosed. Such treatment conditions may include, by way of example, systems and methods for dynamically transitioning treatment environments within a reactor for activated sludge treatment processes. Such environments may include anaerobic, anoxic, fermentation, suboxic, and aerobic environments.

A total nitrogen intelligent detection system based on multi-objective optimized fuzzy neural network belongs to both the field of environment engineer and control engineer. The total nitrogen in wastewater treatment process is an important index to measure the quality of effluent. However, it is extremely difficult to detect the total nitrogen concentration due to the long detection time and the low prediction accuracy in the wastewater treatment process. To solve the problem, multi-objective optimized fuzzy neural network with global optimization capability may be established to optimize the structure and parameters to solve the problem of the poor generalization ability of fuzzy neural network. The experimental results show that total nitrogen intelligent detection system can automatically collect the variables information of wastewater treatment process and predict total nitrogen concentration. Meanwhile, in this system, the detection method can improve the prediction accuracy, as well as ensure the total nitrogen concentration be obtained in real-time and low-cost.

The disclosed lagoon biological treatment system helps existing wastewater treatment facilities meet stricter discharge permits mandated by the EPA utilizing a facility's existing wastewater treatment infrastructure. Influent is pumped into and processed in an aerated or non-aerated lagoon system, thus initially treating the wastewater to reduce BOD5 (Biochemical Oxygen Demand) and TSS (Total Suspended Solids) to approximately 20-30 mg/L. Then the wastewater is transferred to and processed in a nitrification reactor, where sufficient nitrifying bacteria is present to reduce nitrogen levels to regulation-acceptable levels without needing to regulate temperature of the water in the nitrification reactor. Wastewater may also be further processed in a denitrifying reactor if necessary to meet local requirement. Post-nitrification polishing of the wastewater is foregone.

A process for removing selenium from water is described. Through a biological reduction process, selenium +6 species are reduced to selenium +4 species. A coagulant is mixed with the water and as a result, solids having complexation binding sites are formed. The reduced selenium +4 species is adsorbed onto the complexation binding sites of the solids. Thereafter, the solids having adsorbed selenium +4 species is separated from the water and ultimately separate from the process. The resulting effluent is subjected to a second biological treatment under aerobic conditions which converts residual selenium and organo-selenium to selenate.