841 results about "Algal bloom" patented technology

The invention discloses a method for forecasting blue-green algae water bloom in a large-scale shallow lake within 72 hours. The method comprises the following steps of: building a content forecasting model of chlorophyll a in a water body and a probability forecasting model of water bloom generation according to an in-situ growth rate and drift rate parameters of blue-green algae; analyzing instant content of the chlorophyll a in a monitoring water area; distributing and acquiring meteorological information data in a monitoring period; inputting the built models; and outputting a predicted value of the concentration of the chlorophyll a in the monitoring water area in the next 72 hours and the water area and the probability of water bloom generation. The method disclosed by the invention has the advantages of strong operability, easily acquired parameters used for forecasting and high timeliness, and can be used for rapidly and accurately predicting breakout of the blue-green algae water bloom and forecasting the blue-green algae water bloom in a waterhead site and a vital landscape water area.

The invention discloses a method for removing water eutrophication, which comprises the following steps of: investigating a community structure of aquatic organisms in water body, and finding a missing link or broken link in a food chain according to an investigation result; stocking predacious fishes in the water body, removing small trash fishes and herbivorous fishes from the water body by adopting a medicament mode or a manual fishing mode, and regulating the community structure of the fishes in the water body; planting submerged plants, floating plants and emergent aquatic plants in the water with the depth of 0 to 1.5m; and stocking filter-feeding fishes, filter-feeding shellfishes, detritus feeding benthonic animals and herbivorous fishes in the water body. The method for removing water eutrophication can realize the removal of the water eutrophication and ecological restoration for large-scale water body of which the parameters cannot be manually controlled, effectively inhibit the outburst of algal bloom and keep the stable quality of the water body.

The present invention relates to a method of manipulating the physiological state of algae cultured in raceway ponds by altering one or more environmental parameter to simulate algal bloom forming conditions and to raceway ponds suitable for culturing algae according to the present invention. The alteration of the one or more environmental parameters in a specifically timed manner can be used to induce and maintain synchronous cell division.

The invention discloses a high-precision monitoring method for cyanobacterial blooms in a large shallow lake through an MODIS (Moderate Resolution Imaging Spectroradiometer) and a satellite. The high-precision monitoring method is characterized by comprising the following steps: screening recognition indexes of the cyanobacterial blooms (short for algal blooms) which are insensitive to the type and thickness of an atmospheric aerosol; combining the synchronous MODIS, LandsatTM/ETM and satellite image in 2000-2013 year and a gradient analysis result of land and water information to obtain a pure pixel index threshold value of the algal blooms; precisely calculating the area of the algal blooms in a mixed pixel (part of pixels covered by the algal blooms) of the algal blooms by using a pixel growth algorithm (APA); and furthermore, estimating the actual area of the algal blooms in the total water area of the lake and the areal distribution of the algal blooms. The high-precision monitoring method can be used for precisely obtaining the spatial and temporal distribution of the algal blooms in the shallow lake, accurately analyzing the generation and development condition and trend of the algal blooms, scientifically estimating the lake pollution control and ecological remediation effects and providing the scientific and technological support for making a scientific decision for water resource management and water environment protection of departments of water conservation, environment protection and the like.

The invention discloses a method and a device for harvesting water-blooming cyanobacteria. The method comprises the following steps that: A. the water-blooming cyanobacteria is enriched into algae-rich water on water surfaces of lakes, reservoirs and riverways; B. an algae sucker pump is used to suck the algae-rich water; C. the algae-rich water is conveyed to a filtering system of a caterpillar system on a ship and is filtered into algae pulp; D. the algae pulp is subject to reverse purging and then secondary filtration; and E. the algae pulp is concentrated and dehydrated into algal biscuits or algae mud through a belt filter press or a horizontal screw decanter. The device for harvesting the water-blooming cyanobacteria comprises an algae sucker, a caterpillar algae-laden water filtering device, the belt filter press and the horizontal screw decanter, wherein, the fore of the ship is provided with the algae sucker, a non-clogging pump or a membrane pump is arranged in the algae sucker, the upper end of the algae sucker is provided with an impurity prevention net, and a cover plate is provided with a hoisting ring; and the caterpillar filtering device is fixed on a main frame body, and a stainless steel foraminous conveyer is arranged below a filter screen. The method is easy to operate, saves the energy, has low cost, a simple structure and convenient use, and effectively solves the problems of harvesting, concentration and dehydration of the water-blooming cyanobacteria accumulated in the lakes, reservoirs and riverways.

The present invention provides one comprehensive technology of utilizing eutrophic and algalbloom polluted precipitant in in-situ algae killing, ventilation and phosphate fixing. By means of the said technology, bed mud or bankside clay is used in treating algalbloom in low cost. The said technology can eliminate algae effectively, increase dissolved oxygen concentration in water, reduce H2S and NH3-N produced, improve water quality, speed the degradation of organic in water, increase calcium in water, make bottom matter loose and ventilating, minimize and fix water body, bed mud and deposited phosphor in algae cell for no further utilization by living things. The present invention may be used in comprehensive treatment of red tide in sea, water bloom in fresh water, etc.

The invention relates to systems and methods for regulating algal biomass in offshore waters near an oil and gas production platform. The systems of the invention encompasses a plurality of modules for managing nutrients, algae, and aquaculture, including enclosures for containing aquatic organisms, and various operating subsystems that are operably associated with surface and underwater structures of the platform. In one embodiment of the invention, aquatic organisms are cultured in eutrophic water to feed on algae, thereby reducing the algal biomass. In other embodiments, the diversity of algae in an algal bloom is modified and the productivity of oligotrophic water is increased.

The invention discloses a preparation method of BiVO4-BiOBr photocatalyst has a visible-light response, wherein the catalyst may be used under visible light, ultraviolet light, or sunlight. The preparation method of BiVO4-BiOBr photocatalyst that is in a multilevel nest-like nanostructure and is formed by nanosheets is: heating for 8 to 24 h under an alcohol-heating temperature of 100 to 200 DEG C with pH of 5 to 10. The catalyst of the invention can decompose water-soluble organic pollutant containing chlorine and sulfur, water-soluble organic pollutant of azo, xanthene, and anthraquinone type, and biological contaminant microcystic toxins generated by harmful algal bloom.

The present invention discloses a lake-reservoir cyanobacteria water bloom recognition method based on remote sensing monitoring and evidence fusion technology improvement, and belongs to the technical field of environmental projects. The method comprises: establishing a remote sensing inversion model, determining cyanobacteria water bloom breaking-out degree recognition indexes, pre-treating monitoring data, assigning belief function values, and recognizing monitoring area cyanobacteria water bloom. According to the present invention, an ensemble learning Bagging algorithm is fused into regression analysis of the remote sensing inversion model (ie., the normalization vegetation index model) to correct parameters of the model to obtain the corrected remote sensing inversion model so as to improve fitting accuracy; the problem of selection of indexes for lake-reservoir cyanobacteria water bloom recognition and value ranges thereof is solved; the problems of selection of the monitoring area and pretreatment of the monitoring data are solved; the problem of assignment of the belief function values is solved; and effective cyanobacterial water bloom recognition is achieved.

The invention discloses a lake and reservoir algal bloom predicating method based on multielement nonstationary time series analysis and neural network and support vector machine compensation, and belongs to the technical field of water quality monitoring. The method comprises the steps of characteristic factor nonstationary time series modeling, error influence factor kernel principal component analysis, neural network error modeling according to the situation of large sample data, support vector machine error modeling according to the situation of small sample data, final error compensation and predicating result obtaining. The problems that existing algal bloom predication precision is not high, and predication is hard to carry out according to the small sample data are solved, the description of the algal bloom forming process corresponds to reality better, and the result of algal bloom modeling predication is more accurate. The advantage compensation of a time series analysis method suitable for linear system modeling and a statistical learning method suitable for nonlinear system modeling is achieved, and the algal bloom predication accuracy is improved.

The invention discloses a method for predicting the water area where water bloom of blue algae occurs first next year in a large shallow lake, which is characterized by comprising: based on the area and characteristics of water, setting a monitoring point for sampling water and bottom sediment; characterizing the time and spatial distribution of blue algae by using pigment analysis; characterizing the activity of blue algae in all lake areas by using photosynthesis activity and esterase activity of cells; acquiring meteorological data of the lake areas, and determining an effective wind field; and building an ecological dynamic module to predict the area where the water bloom of blue algae occurs first next year. In the method disclosed by the invention, the biomass and growth activity of the blue algae and the effective wind field are regarded as the common triggering factors of the formation of water bloom, the growth and transport of the blue algae and the driving factors of the formation of the water bloom are analyzed to estimate the change law of the ecological pattern of overwintering and resurrection of blue algae, the formation of water bloom of blue algae is predicted from multiple angles, parameters are integrated by the module, and the prediction result is directly displayed in a blue algae biomass contour map mode according to a time sequence.

The invention relates to a blue algae water bloom active carbon and a preparation method thereof. The active carbon is produced by drying the blue algae water bloom alga mud at the hign temperature of 250 to 600 DEG C for 0.5 to 2 hours. The invention starts a new trail for utilizing the blue algae water bloom as a resource. The method can effectively produce active carbon with blue algae water bloom, which can not only save resources but also is favorable to protect the ecological environment and finally the purpose of treating pollution and reducing the pollution treatment cost can be realized.

The invention discloses an algae absorber of collecting water blooms and blue-green alga, using a ladder type pontoon to collect water blooms and blue-green alga enriched on water surface by a absorbing pump. It is composed of ladder type tank component, bracket, cover plate, hinge and water pump pipe, where there is the ladder type tank component installed in the ladder type tank, the component, the float, a pump tube, a regulator, and a two-layer filter net fence are fixed through the bracket and the cover plate by using connecting nuts and bolts, the front end of the ladder type tank is provided with the regulator, it uses a sheet with two ends fixed with active nut and active bolt to fix a socket on two sides of the ladder type tank, and the two-layer filter net fence is inserted in the socket. It is widely applied to the harvest of water blooms and blue-green alga in lakes, riverways, reservoirs and lake bends in gardens.

The invention discloses a cyanobacterial bloom predicting method based on a non-linear kinetic time-series model, which belongs to the water environment predicting field. The method comprises the following steps: using the blue algae growth rate as a time-varying parameter; creating a non-linear kinetic time-series model for the cyanobacteria growth with double nutrient salt cycling; using the combination of the numerical algorithm and the intelligent evolutionary algorithm, optimizing the constant parameters in the non-linear kinetic time-series model for the cyanobacteria growth; through setting the multivariate time-series model to realize the prediction of the time-varying parameter and the cyanobacteria biomass and through using the bifurcation theory and the central manifold theory to make a nonlinear kinetic analysis of the cyanobacteria growth time-varying system, obtaining the outbreak conditions for a cyanobacteria bloom so as to make an early warning of the bloom outbreak. The method proposed by the invention not only determines the conditions for a cyanobacteria bloom outbreak, but also improves the bloom prediction accuracy, providing an effective reference for an environmental protection department and governance decisions for water environment treatment.

The invention provides a composite material which uses nanometer bubbles to rapidly eliminate lake algae bloom and repair anaerobic substrate sludge. The composite material repairs anaerobic substrate sludge, increases the oxidation-reduction potential of the substrate sludge and the dissolved oxygen level of the water body while rapidly eliminating algae blood in a large area and increasing the transparency of the water body. The nanometer bubbles are oxygen nanometer bubbles, ozone nanometer bubbles or air nanometer bubbles. Natures of nanometer bubbles such as quantity, size, density and the like can be adjusted and controlled with a particular method. The invention also provides a method for using the composite material to repair the lake and anaerobic substrate sludge, which comprises that a mechanical method is used for spreading or spraying the composite material onto the lake surface, thus simultaneously finishing the algae bloom removal in the large area, increasing the transparency of the water body, repairing the anaerobic substrate sludge, increasing the dissolved oxygen level of the water body, and providing a good environment for the rapid growth of submerge vegetation and ecological restoration of the eutrophication water body; and the method has ecological security and long effect of the lake treatment.

The invention discloses a method for preparing phycocyanin by using bloom cyanophyte. Said invention uses the fresh bloom cyanophyte as raw material, and adopts the following steps: first step, extracting crude filtrate; dehydrating fresh bloom cyanophyte, adding buffer solutio, mixing them uniformly, frezing, takingout and thawing at room temperature, freezing and thawing for 3-5 times and filtering by using plate and frame; second step, ultrafiltering and purification; using hollow fibre ultrafiltration device whose trapping molecular weight is 1000-200000 daltons to remove various substances with smaller molecular weight from crude extract passed through microfiltration by using ultrafiltering membrane; third step, settling-clearing purification; removing most of small molecules from phycocyanin portion purified by means of ultrafiltration, at the same time making concentration and storing the concentrated phycocyanin portion at a certain temperature; and fourth step; hydroxyapatite column chromatography to make purification.