14 results about "Cyanobacterial bloom" patented technology

This application relates to the field of aquatic environmental pollution monitoring technology, specifically disclosing a method for extracting the area of ​​cyanobacterial blooms in lakes. The method utilizes remote sensing data to calculate the FAI index and abundance value of the monitoring area. Based on slope and statistical analysis, the FAI threshold is determined, yielding the area and spatial distribution of cyanobacterial blooms in the study area based on FAI. The F(S)-L method is used to determine the threshold for extracting cyanobacterial blooms based on abundance, obtaining the area and spatial distribution of cyanobacterial blooms in the study area based on mixed pixel decomposition. A comparative analysis of the results of cyanobacterial bloom extraction using mixed pixel decomposition and FAI shows that the overlapping areas extracted by the two methods represent the true cyanobacterial bloom regions, thus obtaining the area and spatial distribution of cyanobacterial blooms in the study area. This method solves the problem of difficulty in determining the abundance threshold, thereby improving the accuracy of cyanobacterial bloom extraction, and also has the advantages of being rapid, objective, and easy to promote.

The present application belongs to the technical field of algae removal, and particularly relates to a belt type biological filter-feeding device for removing planktonic algae, which comprises a rope body, a plurality of floats arranged on the rope body and floating in a water body, a plurality of biological bins arranged on the rope body, the biological bins being internally provided with filter-feeding organisms and being in communication with the external water body, and a collection bin arranged at the lower end of the biological bin and in communication with the lower end of the biological bin. The belt type biological filter-feeding device for removing planktonic algae is suitable for use in a near-shore area where algae blooms are accumulated due to water flow, wind or other reasons. The filter-feeding effect of the filter-feeding organisms is utilized to filter algae in water. Blue algae which are difficult to digest and utilize can be gathered to form algae groups in the form of pseudo-feces through the filtering effect. The pseudo-feces and excrement of the filter-feeding organisms are deposited into the collection bin under the action of gravity. The concentrated algae in the collection bin are collected periodically, so that the number of algae in water is reduced, and the occurrence of blue algae blooms is controlled.

The present application relates to the technical field of water treatment, and particularly relates to an intelligent aquatic plant floating ball for emergency disposal of blue-green algae bloom and a treatment method, the aquatic plant floating ball has two structural forms, including floating ball A and floating ball B; the floating ball A adopts a lower hemispherical shell body a1 and an upper hemispherical shell body a2 which are detachably connected, the outer side of the open end of the lower hemispherical shell body a1 and the inner side of the open end of the upper hemispherical shell body a2 are connected through threads, and the two hemispheres are combined; the lower hemispherical shell body a1 adopts white PVC material; the bottom of the first hollow PVC pipe is a plastic water-permeable grid integrated with the lower hemispherical shell body a1, which is used for avoiding that the adsorption material falls into water under the action of gravity, and simultaneously serving as a water body access channel of the adsorption material, and in combination with the enclosure, rapid response, high efficiency and emergency can be realized, and the emergency disposal response time and the emergency disposal cost are greatly reduced.

This invention discloses a comprehensive regulation method and system for water engineering systems to control cyanobacterial blooms in large shallow lakes, belonging to the field of water environment technology evaluation. The method includes: identifying the research object and pre-setting a water diversion scheme; optimizing the inlet combination, inlet flow rate, outlet combination, and outlet flow rate allocation; then, using a three-dimensional mathematical model of wind-driven flow across the entire Taihu Lake area, selecting the optimal hydrodynamic scheme A with the objective of minimizing the spatial distribution of the lake's water exchange cycle, and selecting the optimal water quality scheme B with the objective of maximizing the water quality improvement rate and compliance rate; finally, based on schemes A and B, and combining the overall physical model of wind-driven flow across the entire Taihu Lake area and the three-dimensional mathematical model of Taihu Lake, determining the optimal scheduling scheme for controlling cyanobacterial blooms with the greatest benefit and fastest water exchange, with the objectives of a short average water exchange cycle and low nitrogen and phosphorus load entering the lake. This invention provides key technical support for the precise control of cyanobacterial blooms and the continuous improvement of the water environment in Taihu Lake and similar large shallow lakes.

This invention discloses a method for controlling cyanobacterial blooms based on a cytochrome B6F complex inhibitor and its application, relating to the field of cyanobacterial bloom control technology. The method includes: chlorinating water containing cyanobacteria; adding a cytochrome B6F complex inhibitor to the water; wherein the cytochrome B6F complex inhibitor is DBMIB; by performing emergency chlorination on cyanobacterial cells followed by adding DBMIB to synergistically inhibit the activity of the cyanobacterial cytochrome B6F complex, blocking the photosynthetic electron transport chain, and inducing cyanobacteria to enter a functional inactivation state, thereby achieving long-term inhibition of their growth. This allows cyanobacteria to maintain a low density for up to two months, exhibiting high ecological safety and significant inhibition effect.

The utility model relates to blue-green algae treatment technical field, concretely relates to a blue-green algae bloom treatment device. The device includes the case, the upper portion of case is fixedly connected with a plurality of floating plates, the lower portion of case rotatably installs the propeller, the top of case rotatably installs the drive ring, the distance from the end of floating plate away from the case to the case is less than the radius of drive ring. The first drive mechanism and second drive mechanism are equipped in the case, and the ultrasonic generator is arranged on the case. When using, the case is moved in the water area through the propeller, and the plane position of ultrasonic generator in the water area is changed. When the rotating drive ring contacts the boundary of water area, the reaction force between drive ring and boundary drives the case to deflect, so that the propelling direction of propeller is changed, and the moving direction of the whole device is changed, so that the ultrasonic generator can move in the larger range of water area, and the range of ultrasonic generator in the water area for treating blue-green algae is improved.

The application provides a water source cyanobacteria bloom online monitoring and early warning system, which is suitable for the technical field of cyanobacteria bloom monitoring and early warning and comprises an online monitoring and early warning chain, wherein the online monitoring and early warning chain comprises a plurality of unit online monitoring members; the unit online monitoring member comprises a fluorescent probe detection device and an outer protective cover; the fluorescent probe detection device is divided into a detection clamp cavity in the outer protective cover; a water inlet annular groove is reserved at the top of the outer protective cover, and a sampling cover is arranged outside the water inlet annular groove; a water pump is installed on the outer protective cover; the water pump draws water on the water surface of the water source to the outer protective cover, and then the water enters the water inlet annular groove and the detection clamp cavity, and is monitored by the fluorescent probe detection device; the water on the water surface of the water source around the unit online monitoring member is real-timely drawn to the unit online monitoring member, the cyanobacteria on the calm water surface can be accurately and timely monitored and early warned, and subsequent scientific response can be facilitated.

This application provides a method, electronic device, and medium for predicting cyanobacterial blooms based on multimodal sensing. The method includes: acquiring water quality monitoring data; identifying risk areas; acquiring visual image data of the risk areas; acquiring patch data of each sub-region within the risk areas; identifying all sub-regions suspected of having a risk of cyanobacterial blooms based on the patch data; acquiring hyperspectral data and multibeam data of the risk sub-regions; obtaining fused data according to a preset fusion strategy; obtaining a first cyanobacterial concentration in the risk sub-regions based on the fused data; obtaining a second cyanobacterial concentration and cyanobacterial diffusion rate in the risk areas after a first preset time period; and determining whether a cyanobacterial bloom will occur based on the second cyanobacterial concentration and cyanobacterial diffusion rate. This application improves the overall accuracy and reliability of the prediction.

The application discloses a harmful algae treatment technology based on in-situ electrochemistry, which comprises the following steps: S1, releasing a reactive treatment agent in-situ: setting a reactive treatment agent releasing device in-situ in the water body of a lake area to be treated, so that the treatment agent reacts with impurities and microorganisms in the water to form flocculation; S2, treating the sediment: using a suction device to suck part of the sediment and the bottom water of the lake to form a sediment slurry, and introducing the slurry into a high-level oxidation device for oxidation treatment; S3, mixing the slurry: mixing the sediment slurry after the oxidation treatment and the flocculation water flow rich in ions generated by the in-situ release of the reactive treatment agent to form a mud-water mixture, and fully contacting the sediment particles and the flocculant through stirring, and the application relates to the technical field of water environment treatment, and realizes efficient elimination of blue-green algae blooms in the lake and water quality purification through the organic combination of in-situ release of a reactive treatment agent, sediment reuse and high-level oxidation and other means.

This utility model relates to wastewater treatment and biotechnology, specifically to nature-like biological treatment systems utilizing food chains and controlled hydrodynamic processes. The system is designed for deep biological treatment of domestic, agricultural, and industrial wastewater while simultaneously suppressing cyanobacterial blooms and promoting a sustainable aquatic ecosystem. The system includes an algae pond, a crustacean pond, and a fish pond, all located sequentially along the wastewater flow. A distinctive feature is the automated control system, capable of numerically calculating the hydrodynamic parameters of the flow based on the Navier-Stokes equations and the advection-diffusion-reaction equation. The resulting calculated data are used to regulate hydraulic regimes, flows, and recirculation in each pond, providing optimal conditions for the biological processing of pollutants, the growth of microalgae, and the development of zooplankton and fish. The technical result is increased efficiency of biological wastewater treatment, reduced concentrations of nitrogen- and phosphorus-containing compounds, decreased likelihood of cyanobacterial blooms, reduced energy costs by utilizing the photosynthetic activity of microalgae, and the creation of a sustainable, self-regulating aquatic ecosystem. An additional benefit is the ability to convert excess biomass into valuable protein and feed products. The utility model can be applied to urban facilities, agricultural complexes, processing plants, and in the reconstruction of existing sludge ponds into natural-like wetland systems.

This invention discloses a method for intraday dynamic prediction of cyanobacterial blooms based on meteorological and water quality synergy, relating to the field of water environment monitoring. This method, based on satellite data, identifies hourly cyanobacterial bloom area results images using a multi-index consensus method and calculates the actual coverage area of ​​the cyanobacterial bloom. Using joint data of meteorological factors and water quality parameters as input and the actual coverage area of ​​the cyanobacterial bloom as output, a BP neural network model is constructed and optimized. The optimized model is then used to predict the estimated coverage area of ​​the cyanobacterial bloom in the future hourly, and the efficiency coefficient between the estimated and actual coverage areas of the cyanobacterial bloom is calculated. This invention fully utilizes the high temporal resolution advantage of geostationary meteorological satellites to identify cyanobacterial blooms and establish a prediction model, achieving intraday prediction of the cyanobacterial bloom area.

An unmanned surface vessel (USV) system for algae control, based on 222nm mercury-free far-ultraviolet lamps and their combined processes, belongs to the field of water environment management technology. Addressing the issues of delayed response to cyanobacterial blooms in water sources, limited treatment capacity of existing mobile devices with closed reactors, and single-parameter control, the system uses an USV as its platform, integrating a 222nm mercury-free far-ultraviolet lamp matrix, an automatic dosing unit, and an intelligent sensing and adaptive control module. The mercury-free far-ultraviolet lamp matrix adopts an open structure, directly immersed in the water body for large-area in-situ irradiation; the intelligent sensing and adaptive control module collects multi-dimensional parameters such as algal density, chlorophyll a, and algal toxins in real time; the central control system incorporates a built-in PID multi-parameter coupling model to dynamically adjust the irradiation intensity and dosing dosage, using algal toxin concentration as the feedback endpoint to form a closed-loop control. It possesses advantages such as wide-area in-situ coverage, high efficiency, mercury-free environmental protection, and on-demand intelligent energy saving, making it suitable for routine operation and maintenance and emergency response in lake and reservoir-type water sources.

This utility model relates to the field of cyanobacterial bloom control technology, specifically to an air-floating internal cyanobacterial collection and drainage structure for a cyanobacterial bloom control device. It includes an air-floating boat, with an air-floating machine fixedly connected to the top of the boat. A shovel mechanism is fixedly connected to the front of the air-floating machine, and a power mechanism is fixedly connected to the top front of the shovel mechanism. A cyanobacterial collection mechanism is fixedly connected to the rear of the air-floating machine, and a compaction mechanism is fixedly connected to the rear of the cyanobacterial collection mechanism. The air-floating machine includes a main body, with a water storage tank fixedly connected to the bottom front of the main body. A partition is fixedly connected to the left side of the inner wall of the main body. This utility model, by incorporating an air-floating machine, a shovel mechanism, a power mechanism, a cyanobacterial collection mechanism, and a compaction mechanism, achieves efficient and automated treatment of cyanobacterial blooms. The combined use of the air-floating machine main body and the skimmer effectively separates the cyanobacteria from the water, facilitating subsequent treatment.

The application discloses an amino acid cyanobacteria inhibitor and application thereof, and belongs to the technical field of water body restoration. The amino acid cyanobacteria inhibitor comprises levodopa, homoserine and threonine, preferably wherein the concentration of the levodopa is 100 micromoles per liter, the concentration of the homoserine is 160 micromoles per liter, and the concentration of the threonine is 500 micromoles per liter. The application analyzes EC50 of amino acid substances with an algae inhibiting effect, screens three amino acid substances, namely levodopa, homoserine and threonine, with high algae inhibiting efficiency, and verifies through experiments that the three amino acid substances all have extremely strong cyanobacteria killing activity, thereby obtaining an amino acid cyanobacteria inhibitor, and providing an efficient, convenient and safe method for biological prevention and treatment of cyanobacterial blooms.