74 results about "Shallow lake" patented technology

The invention discloses a shallow lake water quality pollution treatment system and method, and relates to the technical field of water pollution, and the method comprises the steps: S1, building a disturbance intensity index DIX and ammonia nitrogen concentration change curve, achieving the quantitative recognition of bottom mud disturbance and pollution release behaviors, training a rebound risk prediction model according to the quantitative recognition, and outputting a rebound risk prediction coefficient Ft; and the capability of pre-judging the rebound trend of the ammonia nitrogen pollution is effectively improved. In the step S2, the adjusted aeration response frequency BAF is dynamically generated based on the rebound risk prediction coefficient Ft value, so that the aeration behavior is converted into a risk-driven system from a traditional timing system, the energy consumption and disturbance intensity are further reduced, and the treatment efficiency is improved. And S3, further introducing a governance residual coefficient GRC, constructing a complete feedback closed loop, and realizing accurate evaluation and secondary strategy optimization of the governance effect of each round, thereby avoiding the problem of effect back-off or excessive disturbance after governance.

The invention discloses a shallow lake submerged plant planting matrix and an efficient planting method. The method comprises the steps of submerged plant planting matrix preparation, seedling preparation, culture and maintenance and seed throwing. The planting substrate comprises the following components in percentage by weight: 54-74% of common soil; 12 to 33% of sediment; 11-12% of river sand; 1% of kaolin; after the raw materials are uniformly mixed, a small amount of water is added for multiple times, so that the sticky planting substrate is formed. Propagules such as submerged plant seedlings, buds and seeds are wrapped with the planting substrate. The submerged plants and the planting substrate form a stable whole body which is not easy to separate; after the plant seedlings are maintained and cultivated for 5 days, the submerged plant seedlings are thrown and planted in the lake water area. A small amount of degradable environment-friendly substrate raw materials are added, so that the strength and toughness of the planting substrate can be improved, the substrate can be kept in water until the submerged plants are stable in rooting and germination, necessary nutrient elements can be provided for growth of the submerged plants, and rapid and stable growth of the submerged plants is promoted.

The invention belongs to the field of lake ecological desilting, and discloses a shallow lake bottom mud ecological desilting and residual water treatment combined treatment method which comprises lake bottom mud ecological desilting, solidification dehydration treatment and residual water treatment. Ecological dredging of the lake bottom mud is implemented by adopting an environment-friendly cutter suction dredger and a sealed pipeline to convey mud, and the bottom mud is conveyed to a mud discharge field to be solidified and dehydrated. A vacuum preloading technology is adopted for solidification and dehydration of the bottom mud, pore water of the bottom mud is effectively discharged by increasing the pressure difference between soil bodies of a drainage plate, and the overall solidification effect is improved. The residual water treatment comprises the treatment of desilting and solidifying residual water, the technologies of multi-stage precipitation, mechanical aeration, aquatic plant remediation and the like are adopted, and the residual water is discharged nearby after being treated to reach the standard. The combined treatment method aims at effectively reducing endogenous pollution of lakes, promoting lake water quality improvement and guaranteeing water safety of regional lakes and reservoirs, and is particularly suitable for ecological dredging engineering of shallow lakes, short construction period and fine-particle bottom mud.

The invention discloses a vegetation optimal water level evaluation method based on remote sensing inversion and a food network model, and the method comprises the following steps: carrying out the analysis processing of a multispectral remote sensing image of a target shallow lake, and extracting the area data of submerged vegetation in the target shallow lake; acquiring multi-source data of the target shallow lake over the years; constructing an adaptive food network model for evaluating the optimal water level of submerged vegetation; and after the model is constructed, systematic verification is performed on the adaptive food web model for evaluating the optimal water level of the submerged vegetation. The method has the beneficial effects that a multi-factor driven adaptive food web model is constructed, nutritive salt, water level change, a food web structure and biological behaviors are integrated, and the optimal water level interval of submerged vegetation is scientifically evaluated; dynamic feedback mechanism parameters are introduced, and the response capacity of an ecological system to water level changes is enhanced; and in combination with remote sensing and field data, parameter estimation is performed by adopting a Markov chain Monte Carlo method, so that the prediction precision and ecological adaptability of the model are effectively improved.

The invention discloses a device and a method for determining the denitrification rate of sediments in situ. According to the device, through field determination, transparent design and fluidity design, the accuracy and ecological correlation of denitrification rate determination are greatly improved, and an innovative technical support is provided for research and management of nitrogen circulation of a water body. And further determining the denitrification rates of rivers, shallow lakes and intertidal zones by using a method of combining stable isotopes with an in-situ culture room. The method can help understand back mechanisms of environmental problems such as algal blooms and oxygen deficit, improve water quality, provide important data support for ecological restoration, wetland protection and agricultural management, promote health and stability of an ecological system, provide important data for studying the effect of nitrogen circulation in global climate change, and promote implementation of sustainable management practice. Compared with a traditional laboratory measurement method, the method has remarkable advantages in the aspects of simulating natural conditions, spatial heterogeneity and ecological interaction, and the denitrification mechanism can be more comprehensively understood.

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 a shallow lake algal bloom and aquatic plant extraction method based on a deep learning model. The method comprises the following steps: acquiring Landsat and Sentinel-2 images covering a shallow lake; making, training and testing water bloom and aquatic plant samples of the deep learning model by using the optical image; constructing spectral features, and selecting features of which the importance ranks the first five by using a random forest model to participate in the construction of a deep learning model; and constructing, training and testing a deep learning model, and classifying the algal blooms and the aquatic plants in the shallow lake by using the trained deep learning model, specifically, classifying the algal blooms and the aquatic plants into four categories, namely a water body, the algal blooms, submerged plants and floating-leaf emergent aquatic plants. The spatial distribution of the shallow lake algal blooms and the aquatic plants can be automatically and accurately obtained, and important technical support is provided for dynamic monitoring of the lake algal blooms and the aquatic plants.

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 utility model discloses a shallow lake sewage gallery purification treatment device, and relates to the technical field of sewage treatment. Comprising a treatment mechanism, a cleaning mechanism is arranged at the top of the treatment mechanism, the treatment mechanism comprises a treatment pond, a water inlet plate and a water drainage plate are arranged at the two ends of the treatment pond respectively, a square frame is arranged on the inner wall of the treatment pond, a filter screen used for filtering impurities is arranged in the square frame, and a blow-off pipe used for discharging the impurities is arranged on one side of the treatment pond. And an electric valve is fixedly mounted on one side of the blow-off pipe. The reciprocating screw rod and the cleaning rod are arranged, so that the filter screen for filtering impurities can be continuously cleaned in a reciprocating manner, the impurities attached to the filter screen are removed, the filter screen is prevented from being blocked by the impurities, and the filter screen can keep a better filtering effect for a long time.

The invention relates to a shallow lake middle and lower layer lake flow in-situ observation device and a shallow lake middle and lower layer lake flow in-situ observation method, belongs to underwater operation equipment, and particularly relates to the technical field of lake exploration. The device comprises a platform, a self-service lifting system, a solar power supply system and a water level self-service lifting feedback system, the platform comprises a horizontal plate and a plurality of stand columns, when the device is used, the stand columns stand on lake bottom sediment, and the horizontal plate is located on the water surface; the self-service lifting system comprises an electric lifter and a guide rail; an ADCP main body is arranged at the lower end of the guide rail; the water level self-service lifting feedback system comprises a water level collecting box and a floating ball switch, the floating ball switch feeds back water surface position information to the water level collecting box, and the water level collecting box controls the driving stroke of the electric lifting machine in real time according to the water surface position information. According to the method, the ADCP support is adjusted to be located at the set depth below the water level according to the water level height fed back by the float switch, and stable observation of the lake flow is completed. During detection, the ADCP main body is in a completely standing state, and the test is accurate.

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.

The invention provides a fixing device for planting single submerged plants in shallow lakes, and belongs to the technical field of planting device.The fixing device comprises a fixing rod and a grapnel fixedly connected to the bottom wall of the fixing rod, a telescopic groove is formed in the inner wall of the grapnel, and a first reinforcing rod and a second reinforcing rod are slidably connected to the inner wall of the telescopic groove; the top wall of the first reinforcing rod is fixedly connected with a first spring, the top wall of the second reinforcing rod is fixedly connected with a second spring, the ends, away from the first reinforcing rod and the second reinforcing rod, of the first spring and the second spring are further fixedly connected with a claw hook, and the inner wall of the claw hook is connected with an adjusting assembly used for conducting telescopic adjustment on the first reinforcing rod and the second reinforcing rod. The outer wall of the fixing rod is slidably connected with a fixing part used for fixing the plant stem, the stability of the fixing rod is further improved under the action of the first reinforcing rod and the second reinforcing rod, and meanwhile, the convenience of adjusting the plant stem state is conveniently improved under the action of the fixing part.

The hairy crab breeding system suitable for the shallow lake comprises an inner-layer purse net and an outer-layer purse net which are installed in an inward inclined mode, and a waterproof enclosure is arranged at the top end of the inner-layer purse net in a surrounding mode; the inner purse seine is used for breeding hairy crabs; bellamya is bred between the outer layer purse seine and the inner layer purse seine. According to the method, a grass-snail-crab symbiotic system is constructed, the submerged plants provide oxygen, food and attachment substrates for breeding of the bellamya, the bellamya scrapes and eats attachment organisms on the submerged plants, light limitation affecting growth of the submerged plants and harmful influences such as competition of the bellamya and nutritive salt of the attachment organisms are reduced, and growth of the submerged plants is promoted. The submerged plants are also essential plant bait for the growth of the hairy crabs, and the bellamya is natural bait for the hairy crabs. The growth process of the bellamya is a typical carbon sequestration process, the bellamya bred to a certain specification is directly used as bait to be fed to the hairy crabs for eating, and carbon emission which is difficult to avoid in the hairy crab breeding bait transportation and feeding process is reduced.

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 present invention discloses a system and method for treating water pollution in shallow lakes, which relates to the technical field of water pollution. The system and method construct a disturbance intensity index DIX and an ammonia nitrogen concentration change curve through step S1 to achieve quantitative identification of sediment disturbance and pollution release behavior, and use this to train a rebound risk prediction model, output a rebound risk prediction coefficient Ft, and effectively improve the ability to predict the rebound trend of ammonia nitrogen pollution. In step S2, the adjusted aeration response frequency BAF is dynamically generated based on the rebound risk prediction coefficient Ft value, so that the aeration behavior is converted from the traditional timing system to the risk-driven system, further reducing energy consumption and disturbance intensity, and improving treatment efficiency. Step S3 further introduces the treatment residual coefficient GRC to construct a complete feedback closed loop, realize accurate evaluation of each round of treatment effect and secondary strategy optimization, thereby avoiding the problem of effect regression or excessive disturbance after treatment.

The invention discloses a method for determining the maximum limit value of total phosphorus in a lake and evaluating uncertainty in the technical field of lake management. The method comprises the following steps: 1) collecting observation values of algae chlorophyll a and total phosphorus in the lake of which the maximum limit value of total phosphorus needs to be determined; supplementing and collecting algae samples; 2) measuring the content of algal toxin, obtaining a relationship with chlorophyll a, and determining a limit value of the chlorophyll a; 3) taking total phosphorus as a dependent variable and chlorophyll a as an independent variable, and establishing a regression relationship between the total phosphorus and the chlorophyll a under different quantiles; 4) calculating 95% confidence intervals of regression coefficients of different quantiles, and determining that the regression coefficients can pass through a significance test minimum quantile; 5) selecting a corresponding regression relationship to obtain the maximum limit value of the total phosphorus of the lake, and 6) determining the uncertainty of the maximum limit value. The method determines the maximum limit value and the uncertainty of the total phosphorus of the lake by using the relationship among algal toxin, total phosphorus and chlorophyll a in the lake, and is easy to be used in the determination of water quality management targets of various polluted shallow lakes.

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 application provides a fixing device for single plant planting of submerged plants in a shallow lake, and belongs to the technical field of planting devices. The fixing device comprises a fixing rod and a grab hook fixedly connected to the bottom wall of the fixing rod. An extension slot is formed in the inner wall of the grab hook. A first reinforcing rod and a second reinforcing rod are slidably connected to the inner wall of the extension slot. A first spring is fixedly connected to the top wall of the first reinforcing rod. A second spring is fixedly connected to the top wall of the second reinforcing rod. The ends of the first spring and the second spring, which are away from the first reinforcing rod and the second reinforcing rod, are further fixedly connected to the grab hook. An adjusting assembly for adjusting the extension and retraction of the first reinforcing rod and the second reinforcing rod is connected to the inner wall of the grab hook. A fixing component for fixing the stems of plants is slidably connected to the outer wall of the fixing rod. The stability of the fixing rod is further improved under the action of the first reinforcing rod and the second reinforcing rod. Meanwhile, the convenience of adjusting the state of the roots and stems of plants is improved under the action of the fixing component.

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 utility model discloses an aeration device for urban shallow lakes, and relates to the technical field of lake environment treatment. Comprising a control box, an anchoring mechanism is arranged at the bottom of the control box, the anchoring mechanism comprises an air bag, a fixing plate is fixedly connected to the top of the air bag, the fixing plate is connected with the control box, aeration mechanisms are arranged on the two sides of the anchoring mechanism, each aeration mechanism comprises a fixing pipe, a mounting plate is fixedly connected to one side of the bottom of the fixing plate, and the mounting plate is fixedly connected with the air bag. A waterproof motor is mounted on one side of the mounting plate, and a propeller is mounted on the other side of the mounting plate. In the using process, the air bag and the fixing plate enable the device to float on the river surface, when the device needs to move, the servo motor drives the belt to drive the rotating wheel and the rotating shaft to rotate, the winding frame winds the steel wire rope, the steel wire rope moves to wind the connecting frame and the anchoring block, the propeller is driven by the waterproof motor to rotate, the device is made to move rapidly, and the device is convenient to move. The working efficiency is improved.

The invention discloses a molecular geochemical method for distinguishing shallow lake and semi-deep lacustrine facies high-quality hydrocarbon source rocks. The method comprises the following steps: establishing a 2-methylhopane index for indicating cyanobacteria contribution in hydrocarbon source rock and a 4-methylstane index for indicating algae contribution; evaluating the contribution of cyanobacteria and algae to shallow lacustrine facies and semi-deep lacustrine facies hydrocarbon source rocks by using a 2-methylhopane index and a 4-methylstane index; and a high-quality hydrocarbon source rock developmental facies belt and strata series with great contribution of cyanobacteria and algae are disclosed. According to the method, shallow lake and semi-deep lacustrine facies high-quality hydrocarbon source rocks can be quickly distinguished, the development mechanism and the distribution rule of the high-quality lacustrine facies hydrocarbon source rocks are disclosed, and help is provided for next oil-gas exploration deployment and decision making.

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 present invention relates to a method for estimating the total mass of nitrogen and phosphorus in shallow lakes. By collecting vertical samples from the lake, the nitrogen and phosphorus concentrations at different depths are tested, and the total mass of nitrogen and phosphorus in the unit water column is calculated in two layers, an upper and lower layer, and an algorithm for the total mass of nitrogen and phosphorus in the unit water column is established. The spatial distribution of nutrients in the lake is obtained by interpolation, and the total mass of nitrogen and phosphorus in the lake is calculated in combination with the lake bottom topography and water level data. The method of the present invention can be used to calculate the total mass of nitrogen and phosphorus in the lake through historical water quality monitoring data, and simulate the changing trend of the total mass of nitrogen and phosphorus. This method enriches the connotation of lake nutrient status assessment, expands the theoretical framework, and provides a reference for lake water environment management and basin nutrient salt emission control.

The invention relates to the technical field of environmental science, in particular to a method for simulating emission of lake greenhouse gas by submerged plants at extreme high temperature and application of the method. According to the method, eel grass is used as submerged plants to restore different types of lake ecosystems (grass type lake ecosystems and algae type lake ecosystems), and the influence of the submerged plants on the different types of lake ecosystems under high temperature stress is researched. Finally, the grass type shallow lake with submerged plants as the main part is relatively stable in response to the extreme climate after being repaired by the submerged plant vallisneria natans, and the flux increase amplitude of greenhouse gases CO2 and CH4 of the system does not exceed 10%, or even may be reduced. And a basis is provided for restoration and improvement of a grass-type lake ecosystem.

The present invention discloses a bottom improvement material and a method for reducing greenhouse gas emissions from lake sediments. The material is composed of a certain proportion of Akadama and nontronite, and the steps are: 1) Selecting mineral materials Akadama and nontronite as raw materials; 2) Pre-treating Akadama and nontronite; 3) Mixing the pre-treated Akadama and nontronite in a certain proportion to prepare a bottom improvement material; 4) Spreading a certain thickness of the bottom improvement material on the lake bottom; 5) Planting submerged plants, and reducing greenhouse gas emissions from shallow lake sediments through the synergistic effect of bottom improvement and submerged plants. The natural ecological matrix material in the present invention has the characteristics of environmental friendliness, reasonable formula, easy use, and ecological environmental protection. The present invention effectively controls and reduces sediment greenhouse gas emissions through the synergistic effect of bottom improvement and submerged plant restoration, providing a new idea for water ecological restoration projects to help carbon neutrality.