257 results about "Eutrophication" patented technology

The invention discloses an hour-scale lake algal bloom space distribution prediction method based on a stationary satellite, and the method comprises the steps: obtaining the hourly wind speed, wind direction, air temperature and other meteorological data and GOCI series satellite remote sensing data, and extracting the algal bloom coverage through an algal bloom recognition index; based on the priori knowledge of wind-driven algae bloom migration and accumulation, constructing a new characteristic index by using a wind direction and a remote sensing index; selecting representative algal bloom samples, extracting data such as wind speed, air temperature and remote sensing indexes of sample points in the same time period to construct a sample database, training a machine learning model and verifying the model precision; the model is applied to a typical eutrophicated lake to test the precision performance of the model, and the algal bloom distribution condition at the current moment and the environmental data at the subsequent moment are utilized to predict the algal bloom spatial distribution change of the lake hour by hour through model iteration. According to the method, prediction and early warning of the spatial position and the outbreak intensity of lake algal blooms in an hour scale can be realized, and prevention and control of eutrophic lake algal blooms are assisted.

The invention relates to the technical field of water environment management, in particular to a reservoir ecological scheduling method and system considering water quality dynamic response. The method comprises the following steps: acquiring reservoir water quality monitoring data; performing water eutrophication analysis according to the reservoir water quality monitoring data to obtain water eutrophication data; pollution source tracking is carried out based on the water eutrophication data to obtain pollution source data; the pollutant emission intensity is evaluated based on the pollution source data; a high-pollution area is calibrated according to the pollutant emission intensity; carrying out algae density detection according to the high-pollution area to obtain algae density data; performing water algal toxin analysis according to the algae density data to obtain water algal toxin data; and obtaining reservoir hydrological data, and carrying out maximum rainfall feature extraction to obtain maximum rainfall data. The response rate and the pollution risk identification rate of reservoir water quality dynamic scheduling are improved based on the water environment management technology.

The invention discloses a coupling model framework for simulating nitrogen dynamics in a flowing water ecosystem and a construction method of the coupling model framework, and relates to the technical field of environmental protection, including hydrodynamic flow, substance diffusion between environmental media and microbial metabolism, and the construction method of the coupling model framework comprises the following steps: (1) establishing a hydrodynamic model; (2) establishing an inter-environmental-medium nitrogen transmission diffusion model; (3) establishing a gene center model of metabolism of inorganic nitrogen and organic nitrogen; (4) constructing a nitrogen dynamic numerical simulation system in the flowing water ecosystem in a coupling manner; and (5) decoupling a dominant factor and a nitrogen conversion mechanism of a nitrogen dynamic state in the quantification system. By simulating the nitrogen dynamic state of the flowing water ecosystem, dominant factors and a nitrogen conversion mechanism of the nitrogen dynamic state in the water ecosystem can be accurately described, so that effective suggestions can be provided for nitrogen dynamic regulation and control and eutrophication management and control of the water ecosystem.

The invention relates to the technical field of aquaculture, and particularly discloses paracoccus pantotrophus P.p-O8 and application of the paracoccus pantotrophus P.p-O8, the paracoccus pantotrophus P.p-O8 is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number of the paracoccus pantotrophus P.p-O8 is CGMCC NO.26522. The invention relates to a microbial inoculum prepared from paracoccus pantotrophus P.p-O8. The method has a huge application prospect in improving the quality of aquaculture water and repairing the polluted sediments in the cage culture area, improves the water environment quality and the survival conditions of aquaculture organisms, repairs the eutrophicated polluted ecological environment, and has high environmental protection value and economic benefit.

The invention relates to the technical field of water treatment filter materials, in particular to an intelligent clean gradient composite water purification filter element and a preparation method thereof. The filter element adopts an integrated design of'natural gradient base material + ZIF-67 function enhancement + fluorescence-ultrasonic intelligent regeneration ': modified vegetable sponge is used as a porous support layer, a silica gel / ZIF-67 composite gradient layer is constructed on the porous support layer to realize adsorption and antibacterial dual functions, and dopamine-aluminum ions are used for composite surface modification to enhance hydrophilicity and interlayer binding force; a matched automatic system senses pollution in real time through the fluorescence monitoring module and triggers the ultrasonic regeneration module to complete self-cleaning, and the flux recovery rate is larger than or equal to 97.5%; the interception rate of the filtering element to anabaena under the operation pressure of 0.1-0.3 MPa is larger than or equal to 99.2%, the filtering flux is increased by 6-8 times compared with that of a commercial element, the filtering element can tolerate complex water quality in the coexistence of drugs and personal care products, natural vegetable sponge serves as a base material, and the filtering element has the advantages of biocompatibility and low cost and is suitable for drinking water purification and eutrophication water body treatment.

The invention relates to the technical field of forest fertilization, in particular to a forest precise fertilization decision-making method and system based on soil nutrient profit and loss, and the method comprises the steps: obtaining basic information of a target forest land, and dividing forest growth stages based on the basic information; the method comprises the following steps: collecting an undisturbed soil sample and a mixed soil sample of a 0-40cm soil layer of a target forest land by adopting an S-shaped point distribution method, separating the mixed soil sample, and respectively measuring the soil nutrient content, the bioavailability, the soil enzyme activity and the microbial functional gene. According to the method, by measuring the dimension indexes, constructing a five-dimensional profit and loss evaluation index system for determining the reference value and dynamically adjusting the weight according to the forest land data, calculating the comprehensive profit and loss index, judging the nutrient state and generating the personalized fertilization scheme, the defects that an existing fertilization scheme is single in basis index and lacks an effective dynamic adjustment link are effectively overcome; the requirements of multi-generation continuous planting forest land are met, and the environmental risks such as fertilizer waste, soil acidification and water eutrophication are effectively reduced.

The invention discloses a floating type ecological restoration bionic robot conforming to the lake and reservoir environment and a restoration method.The robot comprises a jellyfish-shaped bionic floating device, a compartment type multi-parameter water quality monitoring module, a liquid medicament intelligent putting unit, a nanoscale zero-valent iron recycling unit and the like, and module integration is achieved through TPU flexible connecting pieces; and accurate operation is realized by using Beidou RTK (Real Time Kinematic) positioning and an LSTM-Transform model. According to the repairing method, dosing is triggered through multi-parameter monitoring, the nanometer materials are recycled in combination with magnetic separation adsorption and hydraulic disturbance, and a'monitoring-repairing-recycling 'closed loop is formed. A demonstration area verifies that the system can reduce the algae biomass weekly, reduce the migration rate of heavy metals in sediments and improve the recovery rate of nano zero-valent iron, is suitable for in-situ ecological restoration of eutrophicated lakes and reservoirs, and has high efficiency and sustainability.

According to the ecological system intelligent regulation and control technology and the restoration method thereof, a closed-loop metabolism system is constructed by integrating microorganisms, plants, algae, fishes and benthonic animals, and eutrophication is synergistically controlled through nutritive salt reduction and biological regulation and control. A three-layer monitoring network is constructed by adopting the Internet of Things and AI, and an active prevention and control mode of prediction, early warning and regulation is changed from tail-end treatment. The system is composed of a floating bed purification module, a biological regulation and control module, a microbial enhancement module, an intelligent monitoring module and a power control module, the ecological floating bed, the artificial aquatic plants and the aquatic plants are used for purifying water, the filter-feeding fishes and the benthonic animals are used for intercepting nitrogen and phosphorus, and the immobilized filler and the complex microbial inoculants are used for degrading pollutants. A multi-parameter sensor and an AI algorithm monitor, feed back and early warn in real time and generate a purification strategy, and autonomous movement and strategy adjustment of the equipment are achieved. The technology is suitable for lakes, reservoirs, river channels and other water areas, has the advantages of efficient purification, stability, intelligent regulation and control, environmental friendliness and the like, and has wide application prospects.

The invention discloses a method for determining a toughness and catastrophe threshold value of a functional group of a water ecosystem, and relates to the technical field of water environment ecological engineering.The method comprises the steps that the state of a target water ecosystem is determined according to the total nitrogen content, the total phosphorus content and the chlorophyll content of a water body in the target water ecosystem, the state of the target water ecosystem is eutrophication or non-eutrophication; determining the biomass of phytoplankton based on the target water ecosystem state; utilizing an Ecopath model to construct a static food network relation model of the target water ecosystem; based on the target water ecosystem state, the biomass of the phytoplankton and the static food network relation model, determining a toughness threshold value and a catastrophe threshold value of the biomass of each functional group; each functional group is a plurality of groups for dividing species in the target water ecosystem. According to the method, the water ecosystem functional group toughness threshold value and the catastrophe threshold value which are simple to operate and high in accuracy can be provided.

The utility model relates to the technical field of submerged plant planting, in particular to a submerged plant rapid recovery device for a lake storm erosion area, which comprises a multi-hole platform-shaped body, medicament holes and planting holes are arranged in the body, medicament cabins for accommodating more than or equal to two medicaments and separating pieces for different medicaments are arranged in the medicament holes, and the planting holes are communicated with the medicament cabins. The medicament bin is communicated with the outside of the body, and the planting holes vertically penetrate through the top surface and the bottom surface of the body; the body is connected with a floating object through a rope, and a downward protruding part is arranged on the bottom face of the body. The gravity center of the body is located at the lower half part; the body can be released through the unmanned aerial vehicle, so that the planting efficiency is effectively improved; the body is fixed in position after sinking to the bottom and cannot be washed away by water flow, and submerged plant planting groups cannot be scattered by the water flow; the body can be found according to the floating objects, and recycling of the body is achieved; the submerged plants can rapidly take roots and grow in a eutrophicated water body with relatively high algae density after being put into the water body.

The invention relates to the technical field of environment management, in particular to an intelligent aquatic plant community optimization system which comprises a community recognition module, an adaptive screening module, a spacing adjustment module, a growth monitoring module and a response regulation and control module. According to the invention, through dynamic monitoring of plant growth states and optimization treatment of spatial configuration, accurate management of aquatic plant communities is realized, the matching degree of plant species and environmental conditions is enhanced, spacing and density configuration of plant planting are improved, resource competition among plants is effectively dealt with, and the yield of aquatic plants is improved. Through multi-dimensional plant growth state feedback and nutrition state monitoring, the plant configuration is adjusted in real time, so that the dynamic management of the community is more flexible, the singleness of the community structure is avoided, and effective intervention is performed aiming at the water eutrophication problem. The adaptability and growth quality of the plants are improved, overgrowth or decline of the plants in an unsuitable environment is avoided, and ecological restoration and water health are promoted.

The invention relates to the technical field of simulation laboratories, and discloses a multifunctional laboratory capable of simulating different marine environments based on ship body carrying, which comprises a ship body capable of simulating different marine environments and manufacturing various controllable flow fields from laminar flow to turbulent flow in an experiment cabin through a controllable flow field generation unit; through the controllable wave generation unit, waves with specified wave heights and periods can be generated in the experiment module; the water body temperature and salinity regulation and control unit is used for quickly and accurately regulating the temperature and salinity of the water body in the experiment module; water bodies with different turbidity and eutrophication levels are simulated through the environmental biological simulation unit; through an outside-in test mode, a sealing door at the bottom of the experiment module is opened, the underwater robot and other equipment are allowed to freely enter and exit, the dynamic response and control algorithm of the underwater robot when entering a complex environment (external real ocean) from a calm environment (in the experiment module) can be tested, and in-situ storage of a sampled sample can be realized.

The invention relates to the technical field of environment monitoring and remote sensing information processing, and discloses a remote sensing data coupled culture area nutritive salt concentration prediction method and system. The method comprises the following steps: constructing a physically constrained ecological hydrodynamic model to generate synthetic remote sensing-nutritive salt pairing data; fusing multi-source remote sensing and actual measurement data to form a high-dimensional feature tensor; separating breeding sensitive features from environment interference features through an attention-guided domain invariant feature decoupling network; migrating priori knowledge of a source domain large-scale culture area by using a dynamic weight cross-domain knowledge distillation architecture; and finally, real-time high-precision nutritive salt concentration distribution is smoothly output through a lightweight regression head and a time sequence. The system comprises corresponding functional units. According to the method, the prediction precision and stability in a small sample scene are improved, negative migration is inhibited, and support is provided for precise cultivation and eutrophication early warning.

The invention relates to the technical field of water quality monitoring, in particular to a digital twin water quality automatic monitoring and intelligent early warning method. The method comprises the following steps: arranging a multi-parameter sensor array in an entity water area, collecting real-time data of various water quality parameters, and recording the starting moment of each parameter deviating from a baseline value to form a parameter response time difference sequence; matching the parameter response time difference sequence with a preset pollution source time difference feature library to determine a pollution source type, and calculating a pollution feature coefficient according to the deviation degree; nighttime dissolved oxygen monitoring data in the real-time data are extracted, a dissolved oxygen forward change accumulated value is calculated to serve as a nighttime oscillation index, and when the nighttime oscillation index exceeds a preset oscillation threshold value, the water eutrophication risk is judged in combination with the pollution characteristic coefficient. Through parameter response time difference characteristic comparison and pollution characteristic coefficient calculation, the pollution source type and the pollution event stage can be automatically identified, and uncertainty is reduced.

Processes and systems for providing a CO2 enriched stream from an air stream, by: selectively adsorbing, in a first separation zone, CO2 and H2O in an air stream and providing a CO2 and H2O depleted gas stream; separating, in a second separation zone, the CO2 and H2O depleted gas stream and providing an N2 enriched stream, an O2 enriched stream, and an N2 enriched regeneration stream; heating the N2 enriched regeneration stream to provide a heated N2 enriched regeneration stream; selectively desorbing, in the first separation zone, the CO2 and H2O using the heated N2 enriched regeneration stream and providing a spent regeneration gas stream; drying the spent regeneration gas stream to remove H2O and providing a dried spent regeneration gas stream; and separating, in a third separation zone, the CO2 from the dried spent regeneration gas stream to provide a CO2 enriched stream.

The invention discloses a method for combining straw returning to field, pond fish culture and rice, fish and soft-shelled turtle / shrimp comprehensive planting and breeding, and belongs to the technical field of rice, soft-shelled turtle, fish and shrimp comprehensive planting and breeding. After rice in the rice field is harvested, straw is smashed and returned to the field, a hidden survival place is provided for crayfish seedlings, rotten straw and derived zooplankter provide bait for crayfish and fish, and the straw decomposition rate is increased by eating; after water in the rice field module becomes serious along with straw rotting, the water is discharged into the culture pond through tail water treatment engineering treatment, and the water fertility of the pond is increased; meanwhile, after eutrophication of the water body in the culture pond, the water body is discharged into the rice field after being treated by a tail water treatment project and flows into the culture pond again after being further purified by the rice field. According to the constructed mode, the straw is converted into the organic fertilizer through the crayfish and the fish, and the paddy field is adopted for purifying pond culture tail water. No breeding wastewater is discharged in the mode. The investment of aquatic product baits and rice field fertilizers is reduced, and the income and quality of rice and fishes are increased.

The present application relates to the technical field of eutrophication water treatment, and discloses a preparation method and application of active substances of algicidal actinomycetes, which comprises the following steps: (1) inoculating actinomycetes into a shaking flask containing a culture medium, wherein the culture medium comprises carbohydrates, salts, glutamic acid and cyanobacteria, and then placing the shaking flask in a culture box for oscillation culture to obtain a first-stage seed liquid; (2) inoculating the first-stage seed liquid into a first-stage seed tank according to a volume fraction of 10-20% to obtain a second-stage seed liquid; (3) inoculating the second-stage seed liquid into a fermentation tank according to a volume fraction of 10-20% to obtain an actinomycete fermentation liquid; and (4) centrifuging the actinomycete fermentation liquid to obtain a supernatant and mixing the supernatant with a stabilizer. Glutamic acid can promote the actinomycetes to secrete more active substances during the fermentation process, and cyanobacteria can enable the actinomycetes to maintain the ability to remove algae during the fermentation process to secrete corresponding active substances. The stabilizer can inhibit the growth of miscellaneous bacteria to maintain the stability of algae removal.

The invention discloses Pseudomonas tai H1R1 and application thereof in treatment of mariculture tail water, the Pseudomonas tai H1R1 has excellent high salt resistance and aerobic denitrification function, can directly convert ammonia nitrogen and nitrate into nitrogen and efficiently remove nitrogen, the nitrogen removal rate can reach 80% or above, nitrogen load in water is reduced, the nitrogen removal efficiency is improved, and the application of the Pseudomonas tai H1R1 in treatment of mariculture tail water is improved. The problem of water eutrophication caused by nitrogen can be prevented; the system can survive and breed under various severe environment conditions and treat mariculture tail water. The pseudomonas tai H1R1 disclosed by the invention can utilize organic matters in mariculture tail water as a carbon source, so that the growth speed and the growth amount of bacteria are increased, and organic wastes in a culture process are reduced, so that the strain H1R1 can promote self growth while treating the mariculture tail water; and double benefits of environmental governance and resource cyclic utilization are realized.

This invention discloses a method and system for monitoring and assessing the marine aquaculture environment using IoT big data. The method includes: collecting multi-dimensional environmental parameters such as dissolved oxygen, nitrogen and phosphorus nutrients, and pH value through IoT sensing devices; performing parallel reception and status verification through a high-concurrency marine environmental data processing platform; using a multi-dimensional time-series data adaptive clustering algorithm to perform time-series segmentation and similarity clustering of the parameters; quantitatively assessing water quality status based on the clustering results using a eutrophication assessment model; and then dynamically predicting stress intensity and duration using an environmental stress response prediction model, combined with parameters adapted to the growth cycle of aquaculture organisms. The platform integrates the assessment and prediction results to generate a structured report including parameter change trajectories, level indicators, and predicted trend curves, achieving precise monitoring and assessment of the marine aquaculture environment throughout the entire process, providing reliable technical support for aquaculture environment regulation.

The invention belongs to the technical field of marine environment monitoring and artificial intelligence, and discloses a method for intelligently monitoring coastal water eutrophication. The method comprises the following steps: acquiring and matching spectrum, space and time parameters of a remote sensing image and actually measured data; constructing a multi-modal feature data set; a hybrid prediction model formed by cascading a Transform network and a support vector regression model is constructed and trained, and the Transform network performs unified modeling and deeply fuses multi-source features such as spectrum, space and time through a self-attention mechanism of the Transform network, so that deep intelligent fusion of the multi-source features is realized; performing water quality index prediction and eutrophication state evaluation by using the trained model; and finally, carrying out uncertainty quantization on a prediction result by adopting a Monte Carlo random inactivation technology. According to the invention, the problems of low precision and weak generalization caused by spatial heterogeneity and complex optical characteristics in coastal water monitoring are effectively solved.

The application discloses an ecological purification and restoration agent for eutrophication landscape water body and a restoration method, and belongs to the technical field of water, waste water, sewage or sludge treatment. The ecological purification and restoration agent for eutrophication landscape water body comprises the following components in parts by weight: 2.4-5.5 parts of a composite microbial agent, 3.5-6.0 parts of a porous functional polymer material, 12-16 parts of bentonite, and 18-30 parts of clinoptilolite. The porous functional polymer material is adopted to reduce the content of nitrogen and phosphorus in a short time through chemical adsorption, and the composite microbial agent prepared according to a specific proportion of bacillus subtilis, bacillus amyloliquefaciens, pseudomonas denitrificans and nitrobacter winogradskyi is used to comprehensively restore the water body, so that the eutrophication of the water body is effectively relieved, and the cost is low and the purification is complete.

The application relates to the technical field of fuel preparation, in particular to a device for preparing hydrogen-ammonia fuel from eutrophication water bodies, which comprises a pretreatment assembly, a heating assembly, a stripping assembly and a hydrogen-oxygen preparation assembly. The stripping assembly comprises a first box body, a second box body and a collecting box. A stripping cavity and a collecting cavity are arranged in the first box body and are in gas communication. A gas pump is arranged outside the stripping cavity. An ammonia gas storage tank is arranged on the separating box. The hydrogen-oxygen preparation assembly comprises a cathode electrolytic cell and an anode electrolytic cell. The cathode electrolytic cell is in communication with the stripping cavity, and a hydrogen gas storage tank is arranged on the cathode electrolytic cell. The water body with adjusted PH value and heated enters the stripping cavity. The ammonia gas is blown out by the gas pump, enriched through the collecting box, and then extracted and purified through the separating box. The water body after stripping enters the cathode electrolytic cell for electrolysis and obtains pure hydrogen gas. Therefore, the hydrogen-ammonia fuel is prepared from the eutrophication water body, the production cost is low, and the device has high economic benefits.

The invention relates to the technical field of lake eutrophication detection, and discloses a water eutrophication monitoring and pollution early warning system, which comprises a data acquisition module, a data processing module, a model training module and a monitoring early warning module, wherein the data acquisition module is used for acquiring eutrophication factors of a water body of each monitoring station, and the eutrophication factors comprise nutrient salt concentration and blue-green algae sensitive factors of the water body; the data processing module is used for arranging eutrophication factors of each monitoring station and extracting associated features of the eutrophication factors; the model training module trains a pollution prediction model; and the monitoring and early warning module predicts the blue-green algae sensitive factor of each monitoring station based on the correlation characteristics of the pollution prediction model and the eutrophication factor, and performs pollution early warning based on the predicted value of the blue-green algae sensitive factor. According to the method, high-precision prediction of the eutrophication of the water body is realized through space-time correlation modeling of the concentration of the nutritive salt in the water body and the response factors of the blue-green algae.

The present application belongs to the technical field of remote sensing image intelligent analysis, and particularly relates to a kind of lake eutrophication remote sensing intelligent monitoring and early warning method and system, method includes: the water quality data of the river lake to be monitored is collected, and pretreated;Based on the water quality data after pretreatment, using space-time matching algorithm, construct water quality parameter inversion sample library;Based on water quality parameter inversion sample library, using dynamic entropy weight method determines the weight of each water quality parameter, obtains comprehensive lake eutrophication index;Based on the physical constraint deep learning fusion model framework, construct lake eutrophication early warning model;Based on comprehensive lake eutrophication index and lake eutrophication early warning model, realize the real-time dynamic early warning to lake eutrophication degree.

The invention discloses a duckweed type eutrophication water body monitoring method based on sentinel No.2 satellite images, and relates to the technical field of water body monitoring, and the method comprises the following steps: carrying out atmospheric correction processing on sentinel No.2 L1 C-level satellite images in a non-duckweed growth season and a duckweed growth season, and then re-sampling all wave bands to the same resolution; performing mean filtering on a blue wave band, a green wave band, a red wave band, a near-infrared wave band and a narrow near-infrared wave band of the multi-wave-band surface reflectance image after re-sampling in the non-duckweed growth season and the duckweed growth season, and then performing wave band synthesis to obtain a non-duckweed growth season wave band synthesis image and a duckweed growth season wave band synthesis image; and calculating the proportion of the duckweed growth range in the water body range by using the non-duckweed growth season waveband synthetic image and the duckweed growth season waveband synthetic image. The duckweed type eutrophication water body can be rapidly monitored in a large range at low cost.

The invention discloses a multi-scale heterogenous remote sensing data collaborative water quality inversion method, computer equipment and a medium, and belongs to the technical field of water quality remote sensing monitoring. S3, an inversion model is constructed, and the step S3 comprises the steps of S31, wave band combination optimization and correlation analysis; s32, constructing a multi-scale heterogeneous remote sensing data collaborative fusion inversion model; and S33, multi-source data collaborative wave band selection and model determination. According to the method, high-frequency and high-spatial-resolution water quality inversion is realized, the spatial-temporal resolution and precision are improved, a more comprehensive and accurate water quality inversion model is constructed, the robustness of the model in a turbid water body and an eutrophicated water body is remarkably improved, the adaptability to a complex water body is enhanced, and the method is suitable for large-scale popularization and application. An efficient and economical technical means is provided for water quality inversion in a complex water body environment, and the method has remarkable low cost and universality.

This invention relates to a method for immobilizing Chlorella, in order to... Chlorella Using *Chlorella sp. FACHB-9* as the culture medium, *Chlorella* solution was inoculated into the culture medium and cultured under conditions where light intensity varied with concentration to obtain a high-concentration *Chlorella* solution. Chitosan-modified rope-shaped artificial aquatic plants, used as an immobilization carrier, were added to the high-concentration *Chlorella* solution and fixed in a constant-temperature shaker at 25–35℃ and 120–180 rpm for 20–30 hours. After removal and drainage, immobilized *Chlorella* was obtained. An immobilized *Chlorella* was prepared by the above method. An application of the immobilized *Chlorella* was also described: the immobilized *Chlorella* was used to remove nitrogen and phosphorus from aquaculture wastewater. The beneficial effects included: effective removal of nitrogen and phosphorus pollution from aquaculture wastewater, prevention of eutrophication, reduction of wastewater treatment costs, inhibition of *Microcystis aeruginosa* growth, and creation of additional economic value through the resource utilization of *Chlorella*.

The invention provides a stepped purification circulating device for eutrophication treatment of a black and odorous water body, which belongs to the technical field of purification devices and comprises a top cover, an air floatation bin, a distribution bin and a culture bin, a capturing mechanism is arranged in the air floatation bin; scattering mechanisms are arranged on the side walls of the scattering bins; a culture mechanism is arranged in the culture bin; the capturing mechanism comprises a first motor and a gas conveying pipe; the first motor is connected with the central shaft; a plurality of rotary blades are arranged on the side wall of the central shaft; the side wall of the gas conveying pipe is communicated with a plurality of gas distribution pipes; the outer wall of the gas distribution pipe is communicated with a plurality of capillaries. Microbubbles are generated through the capillary tube array, the microbubbles are adsorbed on the surface of the suspended microalgae, the suspended microalgae are gathered to the water surface by utilizing buoyancy, the capture rate of the suspended microalgae with small particle size in the water body is improved, the microbubbles have larger gas-liquid contact area and are more easily dissolved in water, and the dissolved oxygen concentration of the water body is effectively improved. The invention also relates to a use method of the stepped purification circulating device for eutrophication treatment of the black and odorous water body.

The invention relates to the technical field of aquaculture, in particular to an accurate regulation and control method for micropterus salmoides culture water quality. According to the micropterus salmoides culture water quality regulation and control method, a culture water body meets one or more of the following conditions: (1) adding photosynthetic bacteria into the culture water body every day, and controlling the final concentration of the photosynthetic bacteria in the water body to be 10 < 6 >-10 < 7 > CFU / mL; (2) adjusting the content of dissolved oxygen in the culture water body to 5.5-7.5 mg / L; (3) adjusting the temperature of the culture water to 26 + / -1 DEG C in the daytime and 23 + / -1 DEG C at night. The total nitrogen, total organic carbon and chemical oxygen demand can be obviously reduced through day and night temperature regulation and addition of photosynthetic bacteria, the water change demand is reduced, and the eutrophication risk is reduced; meanwhile, the specific growth rate (SGR) and the weight growth rate (WGH) are improved, the immune and antioxidant indexes are optimized, and the aeration energy consumption is reduced by controlling dissolved oxygen to be 7.0 mg / L.

This invention presents a method for retrieving chlorophyll a concentration in surface water based on satellite remote sensing. The method acquires remote sensing images from a satellite that match the acquisition time of the water quality data. Based on the spectral information extracted from these images, a new grayscale image is generated. A grayscale co-occurrence matrix (HCEM) is calculated from this new image. The HCEM is then used to mine the texture features contained in the remote sensing images, and each texture feature is quantified. This results in a significantly improved model performance compared to models trained solely using spectral information. Furthermore, with the same amount of raw data, this invention achieves higher accuracy, which is beneficial for the precise measurement of surface water eutrophication.