39 results about "Shallow lake" patented technology

The invention discloses an urban shallow lake ecological protection and restoration method and system integrated with intelligent management and control, and relates to the technical field of water environment ecological management and intelligent water affairs, and the method comprises the steps: constructing a three-dimensional monitoring network to synchronously collect water quality, image and meteorological data, and carrying out the fusion to generate a multi-modal data set; a deep learning model is utilized to realize pollution source tracing, water quality prediction and algae bloom early warning in parallel; based on the prediction result, outputting a multi-facility cooperative regulation strategy through a reinforcement learning agent; and converting the strategy into a hierarchical instruction to drive an execution unit, and feeding back the treated environment state to the model and the intelligent agent to form closed-loop optimization. According to the invention, whole-course intelligent management and control from monitoring to execution are realized, systematicness, accuracy and perspectiveness of lake treatment are effectively improved, and water environment risk response capability and ecological restoration effect are significantly enhanced.

The invention relates to the technical field of water quality analysis, and particularly discloses a shallow lake water ecological environment quality fluctuation analysis system, which comprises a data acquisition module used for acquiring remote sensing images of shallow lake water ecological environments in different periods; the data processing module is used for preprocessing the acquired remote sensing images of the water ecological environment of the shallow lake in different periods and calculating the total phosphorus concentration of the shallow lake in different periods; the data analysis module is used for analyzing influence factors of increase of the total phosphorus concentration in the shallow lake based on the calculated change rule of the total phosphorus concentration of the shallow lake in different periods; according to the invention, through remote sensing image acquisition, preprocessing and data analysis, dynamic monitoring of the total phosphorus concentration of the shallow lake and deep analysis of influence factors are realized.

The invention relates to the technical field of water environment treatment and lake ecological restoration, and solves the technical problems that in the prior art, an underwater forest shadow area cannot be stably constructed, purification and inhabitation functions cannot be flexibly configured, and engineering quantitative design and long-term optimization cannot be achieved. In particular to a shallow lake underwater forest modularization inhabitation unit and a water function improving method thereof. The inhabitation unit is composed of a hollow hexagonal bottom bearing and anchoring base, a three-dimensional supporting framework, a plant inhabitation layer and an ecological function core block, and an inclined water-permeable wave blocking wing plate is arranged on the head wave side of the bottom bearing and anchoring base; an open grating structure with high aperture ratio is arranged on the back wave side, a dephosphorization, denitrification and inhabitation enhancing core block can be inserted and pulled out in the open grating structure, submerged plants are planted in a plurality of layers of planting baskets at the upper part, and a three-dimensional aquatic vegetation zone with directional hydrodynamic force regulation and control is formed. The shallow lake underwater forest can be stably constructed under the stormy wave condition, the water function is remarkably improved, and engineering construction of the shallow lake underwater forest and quantitative improvement of the water function are achieved.

This invention belongs to the field of water environment monitoring technology, specifically relating to an in-situ spectral measurement device and method for shallow lakes. The measurement device includes a housing and a water-passing grid module. A vertical rangefinder, an adjustable mounting bracket, a fixed mounting bracket, and a communication module are mounted on the top of the housing. The adjustable and fixed mounting brackets are used to mount the light source and the spectrometer, respectively. A water inlet is vertically opened in the middle of the side wall of the housing. The water-passing grid module includes a light-blocking baffle and a traction ring. The light-blocking baffle is slidably mounted on the side wall of the housing and is correspondingly positioned to the water inlet. The traction ring is installed on top of the light-blocking baffle and is used to move the light-blocking baffle up and down along the water inlet as it floats with the water level. A signal trigger is located on the side wall of the housing near the top of the water inlet. This invention achieves fully automatic spectral measurement and combines the in-situ characteristics of field acquisition with the illumination stability of darkroom acquisition.

The application relates to the technical field of water environment remote sensing monitoring, and provides a water vegetation type monitoring method and device based on optical and SAR satellite images. The method comprises the following steps: acquiring optical remote sensing image data and radar image data of the same water area after spatiotemporal registration; acquiring optical image band data, near-infrared reflectivity and red light band reflectivity of each pixel point from the optical remote sensing image data; selecting sub-channel features corresponding to the pixel points from cross-polarization channel feature data; obtaining normalized vegetation indexes of each pixel point based on the near-infrared reflectivity and the red light band reflectivity; obtaining classification results corresponding to each pixel point based on the normalized vegetation indexes, the optical image band data and the sub-channel features, so as to determine all water vegetation types in the water area. The method realizes large-range, high-frequency and high-precision monitoring of water vegetation types in large shallow lakes.

The present application relates to the technical field of hydrological remote sensing and water resource information monitoring, and particularly relates to a lake water storage capacity inversion method and device based on a city shallow lake area and a computer device, water surface elevation field construction is performed based on water surface elevation pixel data and remote sensing image data of each time phase, water level change characteristics are extracted according to the constructed water surface elevation field data, lake bottom topography inversion is performed by using multi-time phase water level change characteristics and external lake bottom topography elevation data, the deficiencies of single optical water depth inversion or static topography assumption in the city shallow lake are effectively made up, the physical rationality and spatial continuity of the lake bottom topography inversion are improved, lake water storage capacity calculation is performed, and the accuracy and reliability of the lake water storage capacity calculation are improved.

The present application relates to the technical field of ecological restoration, and discloses a shallow lake submerged plant community configuration method and device, the method comprising: establishing a submerged plant grading screening model; wherein the submerged plant grading screening model comprises habitat condition grading, substrate condition grading and water quality grading; screening a plurality of species of submerged plants using the submerged plant grading screening model to determine the species of the screened submerged plants; obtaining submerged plant trait parameters for the plurality of species, and calculating a comprehensive tolerance index for each species of submerged plant based on the submerged plant trait parameters for the plurality of species; determining a species priority based on the comprehensive tolerance index for each species of submerged plant; and configuring a shallow lake submerged plant community based on the species of the screened submerged plants, the species priority and engineering parameters. The present application comprehensively considers ecosystem resilience and species diversity, ensures functional complementary configuration of species, and guarantees long-term stability of submerged plant community configuration in water ecological restoration.

The invention discloses a shallow lake turbidity remote sensing inversion method and system based on wind drive physical constraint, and the method comprises the steps: constructing a time sequence pairing sample through combining a remote sensing image and actually measured data, and extracting wind drive characteristics such as wind speed, wind stress and strong wind duration; establishing direction consistency priori by using monotone calibration to generate an expected direction signal, and constructing a wind-driven amplitude response surface interpolation to obtain an expected change amplitude; in model training, a double-moment regression network sharing weights is adopted, and an actual measurement supervision error and wind-driven physical constraints are jointly optimized; and finally, carrying out pixel-level reasoning and verification on the multi-temporal remote sensing image to realize continuous estimation of spatial distribution and dynamic change of turbidity. According to the method, a double-moment input and shared weight network structure is introduced, the physical mechanism and deep learning advantages are fused, the time sequence continuity, the physical interpretability and the cross-space-time generalization ability are remarkably improved while high inversion precision is kept, and an efficient and reliable technical approach is provided for water environment remote sensing monitoring.

The invention discloses a method for judging a backflow time period of a gate in a plain tidal river network. The method comprises the following steps: acquiring water gate upstream and downstream long-series observation water level, drainage basin rainfall and wind field data; astronomical tide and rainfall runoff decoupling is carried out on the downstream section water level, dynamic deformation characteristic parameters are extracted and corrected, and a downstream water level forecasting curve set is obtained; physically decomposing the observation water level of the upstream shallow lake, extracting the average water level and the wind-generated water level deviation, and calculating an upstream forecast curve set in combination with rainfall; combining the forecast curve set to construct a predicted water level difference sequence set; extracting a prediction error quantile based on a pre-constructed error condition distribution library, and performing lower bound calibration and minimum extraction on the difference sequence to obtain a partial safety fusion water level difference sequence; a backflow risk period is identified based on the fused sequence and a decision threshold. According to the method, time consumption of complex numerical solution is avoided, and timeliness and robustness of advanced early warning in the backflow risk time period are improved.

The invention discloses a plateau lake area and water storage capacity dynamic monitoring method based on remote sensing image analysis, and relates to the technical field of lake monitoring, and the method comprises the following steps: carrying out the binarization processing of a lake gray-scale image based on a first segmentation threshold value and a second segmentation threshold value, obtaining a lake binary image, and obtaining a main analysis region based on the lake binary image; performing expansion optimization on the initial contour to obtain a final analysis area; acquiring a real-time region area based on the final analysis region; based on the second number of historical lake maps and the corresponding water storage capacity, obtaining a relation function between the region area and the water storage capacity, and marking the relation function as a water storage relation function; substituting the real-time area into a water storage relation function to obtain real-time water storage capacity; the method is used for solving the problem that the obtained area of the lake is inaccurate due to errors when image processing is carried out on the clear and shallow lake water on the shore in the existing lake monitoring technology.

The present application belongs to the field of river and lake hydrodynamic water environment simulation and water resources regulation, and relates to a water dynamic water quality rapid simulation and emergency regulation method and device integrating artificial intelligence, the method comprising the steps of: constructing a training data set based on historical hydrological sequences; constructing a shallow lake hydrodynamic proxy model based on a physical information neural network; implementing grid scale mass conservation constraints and flow flux correction; performing multi-parameter synchronous rapid prediction of the hydrodynamic field; performing rapid solution of typical water quality element transport and overall model performance evaluation; and implementing differentiated emergency regulation for sudden pollution events during water diversion and non-water diversion periods. The present application takes into account physical reliability and prediction timeliness, realizes a magnitude leap in calculation efficiency, has differentiated emergency regulation capability, can deduce the spatio-temporal evolution characteristics of pollution groups under different working conditions, and provides scientific support and efficient tools for daily management of river and lake water environment and emergency regulation and decision-making for sudden water pollution events.

The invention discloses a shallow lake multilayer environment DNA and surface sediment combined sampling method. The method comprises the following steps: S1, acquiring basic geographic information and water physical and chemical parameters of a lake; s2, on the basis of the environment data obtained in the S1, lake layout candidate sampling points are divided; s3, carrying out cleaning treatment on the sampling device; s4, respectively collecting water samples of different water layers of the lake; s5, collecting a lake surface sediment sample, and sealing and storing the lake surface sediment sample and the water sample collected in S4 in different chambers; s6, marking the sealed water sample and sediment sample; and S7, synchronously recording environment parameters and operation logs of the whole sampling process. Compared with the prior art, the shallow lake multilayer environment DNA and surface sediment combined sampling device and the sampling method thereof have the advantages that high-quality combined acquisition of a water body vertical section and a sediment interface eDNA sample is realized, and a reliable sample basis is provided for accurate monitoring of a lake ecosystem.

To provide an ecologically safe method for controlling and sterilizing algae. [Solution] The present invention discloses a method for inhibiting and sterilizing algae, wherein diacetyl is added to the water to be treated and acts under sunlight irradiation to inhibit the growth of algae and fungi, the algae being Skeletonema costatum, synonyms, Microcystis erginosa, or red tide dinoflagellates, and the fungi being Escherichia coli or Staphylococcus aureus. The present invention uses diacetyl as the active substance, can exert algae-inhibiting and sterilizing effects under natural light alone, has good selectivity, is environmentally friendly, economical and efficient, and is applicable to algae-inhibiting and disinfection of shallow lakes, swimming pools, seawater / freshwater aquaculture farms, or landscape water bodies.

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.

The invention discloses a method and a device for culturing and enriching nitrous oxide reducing microorganisms. The method comprises the following steps: inoculating natural shallow lake sediments into an anaerobic reactor, and carrying out chemostat culture of nitrous oxide reducing bacteria. The method specifically comprises the following steps: stirring and mixing a nitrate nitrogen-containing culture medium and a sample, culturing for 7 days in dark at 20-30 DEG C, and if the nitrate nitrogen content is obviously reduced, obtaining a preliminarily enriched bacterium mixture; introducing nitrogen into the nitrate-nitrogen-free culture medium for aeration and oxygen removal, and then introducing mixed gas of nitrous oxide and nitrogen to obtain a nitrous oxide-containing culture medium; and continuously introducing a culture medium containing nitrous oxide into the obtained primarily enriched bacterium mixture, continuously discharging the culture medium at the same speed, carrying out chemostat culture in the dark, and controlling the pH value to be 7.49-7.50 in the culture process. According to the method, the nitrous oxide reducing bacteria with relatively high activity can be obtained.

This invention relates to a method for determining the dredging depth of shallow lake sediments based on resuspended nitrogen and phosphorus release, belonging to the field of water environmental protection technology. The method includes obtaining in-situ columnar sediment and overlying water in the target lake area; simulating dredging of the in-situ columnar sediment at different depths; loading the dredged in-situ columnar sediment into culture columns one by one; adding filtered in-situ overlying water without disturbance; and allowing the columns to settle for a preset time; after settling, mechanically disturbing and resuspending each culture column; taking water samples in batches at the middle depth of the overlying water at preset times after disturbance; analyzing and calculating the release rates of NH3-N, SRP, TN, and TP in different dredging treatment groups; and using the minimum dredging depth where the release rates of NH3-N, SRP, TN, and TP are all less than 0 as the final dredging depth. This provides a basis for determining the depth of environmentally friendly dredging of polluted sediments in shallow lakes and fills the gap in similar projects where dredging depth is difficult to determine and dredging data is insufficient.

The invention belongs to the field of submerged plant field planting methods, and particularly relates to a shallow lake multi-scene cage type submerged plant field planting method which comprises the following steps: wrapping rhizomes of submerged plants in culture mud, and wrapping the culture mud with a leakage-proof net to form a field planting plant group; preparing a cage type field planting frame, arranging a group of field planting cells on the cage type field planting frame, and arranging rooting channels at the bottoms of the field planting cells; placing the field planting plant groups into the field planting cells; the cage type planting frame is placed in a designated water area and sinks to the water bottom, and root systems of the submerged plants on the cage type planting frame grow downwards along the rooting channel; after the cage taking period is reached, the cage type field planting frame is separated from the field planting plant set and pulled up to be recycled, and field planting operation of the submerged plants is completed, replanting of the submerged plants in shallow lakes and deep lake bays can be achieved, and the field planting survival rate of the replanted submerged plants is increased.

This invention discloses a method for ecological restoration of large shallow lakes, including establishing a hydrodynamic model to simulate the lake flow field, including water depth, flow velocity, and flow direction; dividing ecological restoration areas using enclosures, including: analyzing the forces between the water body and the enclosures, calculating the maximum flow velocity that the enclosures can withstand when their resistance to water flow is greater than or equal to the impact force of the water flow; determining the location of the ecological restoration areas based on the maximum flow velocity and the simulation results of the flow field; determining the area and shape of the ecological restoration areas divided by the enclosures based on the vegetation coverage and water system connectivity required for lake water environment restoration; and finally evaluating the rationality of the ecological restoration area division based on the hydrodynamic model. This method facilitates the phased, unit-based, and standardized implementation of ecological restoration of large shallow lakes, ensuring the safety and stability of ecological zoning engineering measures, and improving the feasibility of implementing ecological restoration of large shallow lakes.

The invention relates to the technical field of lake ecological restoration and water pollution control, in particular to a shallow lake endogenous pollution long-acting control method based on hydrodynamic control. Collecting historical hydrological, meteorological and sediment data of the target lake; arranging a multi-parameter sensor monitor in a target lake to synchronously monitor the wind speed, wind wave, suspended matter concentration, dissolved oxygen and water nitrogen and phosphorus content of the target lake at high frequency; the method comprises the following steps: adopting an SWAN wind wave model to simulate the effective wave height of a lake, combining sediment survey data, and screening an area in which the sediment thickness is greater than or equal to 0.3 m, the TN is greater than or equal to 1500mg / kg and the TP is greater than or equal to 600mg / kg as a sediment resuspension hot spot area; an underwater shoal is designed on the periphery of the hot spot area; a water flow transportation path is simulated based on a three-dimensional lake flow model, lake bottom traps are arranged among hydraulic channels among underwater shoals, and the control method can remarkably reduce the resuspension strength of sediments and intercept high-pollution particles in transportation by integrating wave reduction, flow guide and mud catching functions, so that the collaborative target of water quality improvement and ecological restoration is achieved.

The invention relates to the technical field of shallow lake ecological restoration, and discloses a flexible fishing net grating shallow lake ecological restoration system integrating sound drive and double-layer protection, which comprises a fixed support assembly, a double-layer protection interception assembly and a counterweight assembly, the fixed supporting assembly is arranged to be pipe fittings, the pipe fittings are arranged at preset intervals, and one ends of the pipe fittings are inserted into a lake old soil layer by a preset depth to form a stable supporting rod frame. The double-layer protection intercepting assembly comprises an outer-layer fish driving net and an inner-layer intercepting net, the outer-layer fish driving net and the inner-layer intercepting net are both arranged to be fishing net curtains, connecting ports are formed in the side edges of the fishing net curtains, the adjacent fishing net curtains are connected in a sealed mode through transparent fishing lines, and the inner-layer intercepting net is higher than the normal water level of the lake by a preset distance; the counterweight assembly is fixed to the bottom of the fishing net curtain and matched with the fixed supporting rod assembly to form a vertical stable structure, and shaking of the fishing net curtain is restrained.

The invention discloses a shallow lake filamentous algae cleaning device and method, and belongs to the technical field of water treatment. The shallow lake filamentous algae cleaning device comprises a floating platform, and a collection mechanism, a compression dehydration mechanism and a storage bin which are arranged on the floating platform, the collecting mechanism is located at the front end of the floating platform and used for capturing filamentous algae from a target water body; a feeding hole of the compression dehydration mechanism is connected with the collecting mechanism through the conveying mechanism and is used for carrying out compression dehydration treatment on the filamentous algae captured by the collecting mechanism; and the storage bin is connected with a discharge hole of the compression dehydration mechanism and is used for storing the filamentous algae treated by the compression dehydration mechanism. On the basis of the device, full-process mechanization and automation operation from efficient collection, synchronous dehydration to intelligent storage and transportation of the filamentous algae can be completed in situ in a target water body, and the device has the advantages of being high in operation efficiency, high in adaptability, environmentally friendly, low in labor cost and the like, and is particularly suitable for filamentous algae treatment of large-area shallow lakes.

The invention discloses a dynamic calculation method for an endogenous phosphorus release risk of a shallow lake. The method comprises the following steps: acquiring lake data; according to the obtained lake hydrodynamic data, constructing a wave flow coupling model for calculating hydrodynamic disturbance intensity, and calculating bottom shear stress; according to the obtained sediment characteristic data, determining a sediment resuspension critical condition, and evaluating phosphorus release potentials of sediments in different forms; coupling the calculated hydrodynamic disturbance intensity and the evaluated sediment phosphorus release potential, and constructing an endogenous phosphorus release flux dynamic calculation model; and according to the calculated endogenous phosphorus release flux, in combination with a water eutrophication critical phosphorus load threshold, evaluating an endogenous phosphorus release risk level. The method has the beneficial effects that multi-source measured data can be fully utilized, a hydrodynamic process and a biogeochemical process of polymorphic phosphorus in sediments are dynamically coupled, a mechanism-driven high-precision model is established, and dynamic, accurate and quantitative calculation of the release flux of the endogenous phosphorus in the shallow lake is realized.

The utility model relates to the field of ecological maintenance, and discloses a ship device for maintenance operation of aquatic vegetation in shallow lakes, which comprises a main body ship, transport ships are detachably mounted on two sides of the main body ship through lock catch type connecting chains, and an adjusting component is arranged on the surface of the main body ship. A weight sensor is arranged in the center of the surface of the transport ship, a three-color lamp is arranged on the surface of the transport ship, the surface of the weight sensor is in contact with a collecting frame, and lifting chains are arranged on the two sides of the collecting frame. According to the aquatic plant transport ship, the weight sensor on the surface of the transport ship is electrically connected with the three-color lamp, the weight of aquatic plants in the collecting frame can be sensed in real time, the weight state is displayed through different colors of the three-color lamp, and when the weight is within a reasonable range, the green light is turned on, and the aquatic plants can be continuously loaded; when the transportation requirement is met, the yellow lamp is turned on; when overload occurs, the red light is turned on, the grass cannot be continuously loaded, and the overload phenomenon is effectively avoided through the weight monitoring mechanism.

The invention discloses a water-air cooperative multi-modal underwater terrain modeling method for a plain shallow lake, and aims to realize lake high-precision modeling based on multi-modal data. The method comprises the following steps: acquiring an orthoimage of a target lake area and depth and elevation data of a sounding point, generating a training image block set and a training structured parameter set, and training and verifying a multi-modal depth-elevation collaborative inversion model after aligning samples; and generating a prediction image block set and a prediction structured parameter set corresponding to image points in the orthoimage of the target lake area, inputting the trained multi-modal water depth-elevation collaborative inversion model, outputting the water depth and underwater elevation of the target lake area, and forming an underwater terrain digital elevation model of the target lake area. According to the method, multi-source data are fused, the prediction precision of water depth and underwater elevation is improved, and support is provided for hydrological surveying and mapping, environment monitoring and the like; only a small amount of underwater equipment is needed to collect the sounding point data, and the whole lake does not need to be subjected to full-coverage underwater detection, so that the equipment investment and the operation time are greatly reduced.

The present application relates to the technical field of water environment treatment and lake ecological restoration, solves the technical problems that the prior art cannot stably construct underwater forest shadow area, flexibly configure purification and habitat functions, realize engineering quantitative design and long-term optimization, and particularly relates to a shallow lake underwater forest modular habitat unit and a water function improvement method thereof, the habitat unit is composed of a hollow hexagonal bottom support and anchoring base, a three-dimensional support framework, a plant habitat layer and an ecological function core block, the windward side of the bottom support and anchoring base is provided with an inclined water-permeable wave blocking wing plate, the leeward side is provided with an open grid structure with high open area ratio, the inside can be plugged into phosphorus removal, denitrification and habitat enhancement core blocks, the upper multi-layer planting basket plants submerged plants, forming a three-dimensional and directional water power regulation water plant belt. The present application can stably construct the shallow lake underwater forest under the condition of wind and wave, significantly improve the water function, realize the engineering construction of the shallow lake underwater forest and the quantitative improvement of the water function.

The utility model discloses a shallow lake eutrophication water body ecological integrated restoration device which comprises a floating island, a through hole is vertically formed in the middle of the floating island, a vertical rod is arranged in the through hole, the through hole is in sliding fit with the vertical rod, an air pump is arranged at the upper end of the floating island, the vertical rod is sleeved with a disc below the floating island, and the air pump is communicated with the disc through a first flexible pipe. A plurality of aeration pipes are uniformly arranged on the peripheral side of the disc, and aeration stones are arranged at the ends, away from the disc, of the aeration pipes; a garbage collecting assembly is arranged on the outer side of the floating island and comprises a mounting block, a collecting box, a first supporting rod, a second supporting rod, a rotating shaft and a spiral blade, when the floating island and the garbage collecting assembly are located in water, half of the through hole is located in the water, and the distance from the aeration stone to the vertical rod is larger than the distance from the first supporting rod to the vertical rod. According to the utility model, the dissolved oxygen content in the water body can be increased through aeration, and floating objects on the water surface can be collected and treated.

The invention discloses a shallow lake phycocyanin concentration OLCI image remote sensing inversion method, and belongs to the technical field of environmental science and remote sensing monitoring. The method comprises the following steps: firstly, selecting a research range, and acquiring a large amount of actually measured PC concentration data in different periods through lake field sampling; secondly, satellite image acquisition and satellite-ground matching are carried out, a satellite-ground matching data set is obtained, a water body classification method based on a decision tree framework is adopted, fine classification is carried out on different driving types, and water bodies are divided into four types; then, based on a classification result, independently constructing a phycocyanin PC inversion model for each type of water body; and finally, performing inversion and detection on the phycocyanin concentration of the shallow lake by using the phycocyanin prediction model corresponding to each type of water. The method is high in timeliness and simple and convenient to operate, and has a wide business application prospect; a baseline ratio algorithm in the prediction model combines the advantages of a band ratio algorithm and a baseline algorithm in a traditional PC inversion algorithm, generalization and precision are improved, and the baseline ratio algorithm is the key for successful classification of water and successful construction of the model.

The utility model discloses anti-corrosion handheld equipment for sampling shallow lakes, which belongs to the technical field of sampling equipment and comprises a sleeve shell with a conical lower end, a collecting bottle and a sliding cover plate are arranged in an inner mounting groove of the sleeve shell, and the cover plate is vertically opened and closed through six groups of connecting components comprising reset springs and double sleeves. The upper end of the sleeve shell is connected with a multi-stage sleeve through a fixing block, and a top end adjusting handle is linked with an adjusting rope through a V-shaped adjusting plate to control opening and closing of the cover plate. The collection bottle and the cover plate form a dynamic sealing structure by adopting triangular bulges and staggered rubber rings, so that sample leakage is effectively prevented. Spring hoops are arranged on the two sides of the sleeve shell to achieve rapid disassembly and assembly of the collecting bottle, and the curved surface water inlet is provided with a replaceable 40 / 80 / 120-mesh filter screen. According to the utility model, the length adjustment of 0.8-2.5 m is realized through the threaded splicing of the five-stage sleeves, the opening and closing precision of the cover plate is within + / -1.5 mm due to the lever design of the regulation and control plate, and the device has the advantages of corrosion resistance, high sealing performance and modular operation, and is suitable for the multi-stage water quality sampling of shallow lakes.