43 results about "Biogeochemistry" patented technology

The invention discloses a cascade reservoir optimization regulation and control method based on nitrogen and phosphorus circulation of a water body, and relates to the technical field of water resource management optimization. Multi-dimensional data of a gradient reservoir is collected, and a time-space aligned multi-modal data set is constructed; according to a biogeochemical process of nitrogen and phosphorus circulation, a physical equation of the nitrogen and phosphorus circulation is deduced, and a physical constraint loss item is designed and is subjected to weighted combination with data driving loss to form a mixed loss function. According to the method, the physical constraint neural network model is constructed, and the physical equation of nitrogen and phosphorus circulation is embedded into the neural network loss function, so that the strong fitting capability of the data driving model is utilized, and the model output is ensured to accord with the biogeochemical law through the physical constraint; the key parameters of the physical equation are calibrated through the Bayesian optimization algorithm, the prediction precision of the model on the nitrogen and phosphorus migration and transformation process is further improved, the dependence on big data is effectively reduced, and a reliable prediction result can still be provided especially under the condition that the temporal-spatial resolution of data is low.

The invention provides a coastal salt marsh vegetation and sediment deposition comprehensive carbon sink assessment method and system. The system comprises a vegetation dynamic module, a water power module, a carbon dynamic module and a vegetation dynamic-water power-carbon dynamic coupling module. Output results are divided into vegetation-water and sediment-landform space-time dynamic and ecological system carbon exchange space-time dynamic, and the results are used for landform development and carbon sink dynamic evaluation of the salt marsh-light beach system. On the basis of development of a grid type process model, a vegetation dynamic model, a hydrodynamic model and a carbon dynamic model are coupled together, a biogeochemical coupling model integrating interaction among biological, hydrological and geomorphic processes is constructed, and a biogeochemical process of coastal salt marsh vegetation dynamic and sediment carbon sink is parameterized; and an effective evaluation technology can be provided for community development and carbon sink dynamics of coastal wetland vegetation.

The invention belongs to the technical field of ocean water color and ocean ecology, and relates to a near-field actual measurement data set construction method and system for ocean net primary productivity, and the method comprises the steps: collecting profile data observed by a biogeochemical buoy BGC-Argo; s2, respectively performing data quality control processing on the Chl-a profile data and the bbp (700) profile data to obtain profile data after quality control; s3, based on the profile data after quality control, matching remote sensing parameters of a medium-resolution imaging spectrometer (MODIS); wherein the remote sensing parameters comprise photosynthetically active radiation (PAR) and a diffusion attenuation coefficient Kd (490) at a 490nm wave band; s4, on the basis of the profile data after quality control, PAR and Kd (490), utilizing a CbPM model to calculate marine net primary productivity NPP profile data; and S5, carrying out integration on the NPP profile data in a true light layer depth range to obtain NPP data of water column integration. The method can economically and efficiently obtain a large number of NPP samples actually measured in the near field, and makes up for the deficiency of existing actually measured data.

The invention discloses a method for quantifying upwelling intensity and biogeochemical process thereof based on hydrogen and oxygen isotope, which comprises the following steps: acquiring hydrological information and hydrogen and oxygen isotope value of a target sea area, and establishing a hydrogen and oxygen isotope mass balance model; based on a hydrogen and oxygen isotope mass balance model, calculating the proportion of different source water bodies in the upwelling affected zone of the target sea area, and obtaining the contribution of deep water to the upwelling affected zone; estimating the theoretical nutritive salt concentration of the upwelling affected zone based on the nutritive salt concentrations of the original surface water and the upwelling source deep water and the contribution of the deep water to the upwelling affected zone; and comparing the actually measured upwelling affected zone nutritive salt concentration with the theoretical nutritive salt concentration to obtain the contribution of the biological process of the target sea area. Based on the advantage that hydrogen and oxygen isotopes in water are tracers of water, a method for quantifying the upwelling intensity and the biogeochemical process of the upwelling intensity is developed, and a new technical method is provided for scientifically and quantitatively evaluating an upwelling ecological system.

The invention discloses a land-based data automatic receiving and preprocessing management system and method, and relates to the technical field of ocean observation data processing, and the system comprises a communication service subsystem, a data preprocessing subsystem, an intelligent perception linkage subsystem, and a data management subsystem. And full-process automatic processing of underwater acoustic real-time communication subsurface buoy observation data is realized through modular integration. Automatic receiving, safe storage and efficient preprocessing of deep sea power and biogeochemical element data are achieved, reliable data support is provided for marine scientific research and environment monitoring, and the long-term observation requirement of a 6000-meter water depth subsurface buoy system is met.

The invention provides an ocean hypoxia prediction method and device, computer equipment and a program product, and the method comprises the steps: obtaining mode drive input fields of a target sea area at different times; utilizing a plurality of coupling models in a preset ocean hypoxia forecasting model to perform identification and prediction processing on the mode driving input fields at different time to obtain a three-dimensional ocean physical state field, a biogeochemical state field and a three-dimensional dissolved oxygen concentration state field of the target sea area in a first preset time period in the future; according to the target time interval, marine environment forecast information of the target sea area in a first preset time period in the future is generated and broadcasted in a rolling mode; and extracting a target dissolved oxygen concentration state field matched with a preset area of the target sea area in the three-dimensional dissolved oxygen concentration state field, and determining oxygen deficit indication information in the preset area and generating visual oxygen deficit forecast information according to the target dissolved oxygen concentration state field and different oxygen deficit thresholds.

An estimation device 1 comprises: a model generation unit 10 that, in each time step, calculates an OBM value including the growth rate of marine microorganisms using an ocean physical value calculated from an ocean physical model and an ocean biogeochemistry model (OBM), and trains a learning model for estimating the growth rate of marine microorganisms in each time step from the relationship between the ocean physical value and the OBM value in each time step; and an estimation unit 20 that, in each time step, calculates an OBM value other than the growth rate of the marine microorganism using the ocean physical value calculated from the ocean physical model and the OBM, and uses the learning model to estimate the growth rate of the marine microorganism from the ocean physical value and the OBM value other than the growth rate of the marine microorganism.

The present disclosure provides a method, device, computer equipment and program product for predicting marine hypoxia, wherein the method comprises: obtaining a mode-driven input field of a target sea area at different times; using a plurality of coupled models in a preset marine hypoxia prediction model to respectively identify and predict the mode-driven input field at different times, to obtain a three-dimensional marine physical state field, a biogeochemical state field and a three-dimensional dissolved oxygen concentration state field of the target sea area within a first preset time period in the future; generating marine environment prediction information of the target sea area within the first preset time period in the future according to a target time interval and rolling broadcasting; extracting a target dissolved oxygen concentration state field matched with a preset region of the target sea area from the three-dimensional dissolved oxygen concentration state field, and determining hypoxia indication information in the preset region and generating visual hypoxia prediction information according to the target dissolved oxygen concentration state field and different hypoxia thresholds.

The invention discloses a migration path tracking method based on cuttle bone microelement biogeochemical marking, and the method comprises the steps: analyzing the composition characteristics of microelements deposited in the whole life history process of cuttle bone, and combining the space-time correlation between the microelements and marine environment parameters, thereby building a migration path inversion model based on the microelements. Aiming at the technical bottlenecks of low sample recovery rate, limited space-time coverage of scientific investigation tracking and the like of the traditional marking method, the method has the advantages of economy and convenience in operation, and a reliable technical means is provided for the research of the cuttlefish migration path.

The invention discloses a halogenated hydrocarbon and heavy metal combined pollution natural attenuation life cycle benefit evaluation method, and belongs to the technical field of environmental science and engineering. The method comprises the following steps: constructing an MNA full-life-cycle system boundary, and establishing a list database including monitoring well network full-life-cycle operation and maintenance, long-term sampling analysis and natural attenuation asset accounting; establishing a biogeochemical coupling evaluation model, and introducing a coupling factor to quantify the synergistic environmental benefit of halogenated hydrocarbon anaerobic degradation and heavy metal reduction fixation; selecting global warming potential, primary energy consumption and secondary environment risk indexes to carry out characterization evaluation; a net environmental benefit (NEB) is calculated based on a time discount principle. According to the method, the ecological and economic comprehensive advantages of the MNA technology in the specific combined pollution area can be scientifically and quantitatively revealed, and a decision basis is provided for green restoration technology screening and long-term monitoring scheme optimization.

The invention discloses a fish spawning site position calculation method based on otolith microchemistry and river micronization landscape atlas, which comprises the following steps: otolith and water body sample pretreatment: taking out an otolith sample from a sample tube for slice preparation, and preparing a standard solution by using the water body sample; experimental analysis: measuring trace chemical elements, namely Sr, Ba, Mn, Mg and Ca, of otolith; data analysis: drawing a river micronized landscape map, constructing a mixed effect model to calculate otolith trace element values, constructing a random forest model based on the otolith trace element values, and performing spawning site position calculation on fish otolith core microchemistry; according to the method, a brand new biogeochemical framework is constructed, and the spawning site position of the fish is accurately calculated by combining otolith microchemistry, a river micronization landscape map and a machine learning technology.

The invention provides an ocean polymetallic crusting mineralization prediction method. The method comprises the following steps: establishing a mineral-geochemical mapping model reflecting an occurrence mechanism of mineralization elements; constructing a multi-factor coupling metallogenic mechanism judgment model for comprehensively representing three types of control factors, namely a hydrodynamic condition, a seawater geochemical condition and a microbial action; the method comprises the following steps: establishing quantitative evaluation indexes corresponding to the biogeochemical process of each stage according to three microscopic growth stages of multi-metal crusting from colloid formation, metal adsorption to precipitation mineralization, and forming a microscopic mineralization stage evaluation system; coupling a mineral-geochemical mapping model, a multi-factor coupling metallogenic mechanism judgment model and a microscopic metallogenic stage evaluation system, and establishing a bidirectional simulation model; and inputting known crusting quality parameters, inverting the bidirectional simulation model and outputting deduced macroscopic geological environment characteristics, and screening a sea and mountain area with similar environment characteristics in a target sea area according to the macroscopic geological environment characteristics so as to delineate a favorable prospective area of the multi-metal crusting.

The invention belongs to the technical field of intelligent fishery and fishing, and discloses a saury fishing boat dynamic path planning method considering fishing point changes. Comprising the following steps: acquiring marine physical and biogeochemical data and a historical fishing data set, performing data cleaning, spatial alignment and normalization processing on the data, establishing a relation model between a fishing probability and a marine environment factor, constructing a dynamic fishing boat path planning problem model, and solving and outputting an optimal path. According to the method, accurate and green fishing of saury fishery is facilitated, the economic benefits and environmental sustainability of ocean fishery are improved, and powerful technical support is provided for high-quality development of modern fishery.

The application discloses a kind of basin nitrogen multi-scale coupling simulation and accurate traceability evaluation method and system, belong to the technical field of basin water environment simulation and non-point source pollution control, method includes: based on the soil, weather, land use and nitrogen deposition data of research area, the runoff of each grid, runoff nitrogen concentration, deep leakage and nitrogen leaching amount are calculated;D8 flow direction method and triangular unit line method are used to calculate the flow rate of basin outlet;The amount of nitrogen transport of surface path is calculated using the first-order kinetic method;Based on deep leakage and nitrogen leaching amount, the kinetic model coupled with organic nitrogen mineralization, microbial assimilation and denitrification process is used to calculate the amount of nitrogen transport of underground path;Comprehensive above result, output grid scale water nitrogen flux spatial distribution map, identify the key source area of nitrogen loss.The application realizes the multi-scale integrated simulation and accurate traceability of nitrogen migration and transformation by closely coupling grid scale biogeochemical process and watershed scale hydrological process.

The present invention relates to a copper isotope reference material for biological matrix matching and a preparation method thereof, belonging to the technical field of analytical geochemistry. The preparation method of the copper isotope reference material for biological matrix matching is to dissolve NIST SRM 976 in water to obtain a standard solution of copper isotopes, mix agar powder, a polymer dispersant, an ionic dispersant with the standard solution of copper isotopes to obtain a mixed agar solution, heat the mixed agar solution until it is clear and bubble-free and then make it into a semi-solid agar gel, and obtain the product after drying. The preparation method of the copper isotope reference material for biological matrix matching in the present invention is simple and low in cost, which is beneficial to promoting the application of the LA-MC-ICP-MS technology in the analysis of biological samples and is also beneficial to the comparison of data between different laboratories, and this has a great promoting effect on the discipline development of disciplines such as biogeochemistry, environmental science, biology, and medicine.

The application discloses a research method of influence of temperature increase and seawater intrusion on migration and transformation of coastal soil arsenic, and belongs to the technical field of biogeochemistry. The method simulates global weather warming and seawater intrusion by using temperature increase and addition of sulfate, explores the influence of temperature and sulfate on migration process of As in solid-liquid phase under the condition of flooding and driving mechanism, and explores the influence of biochar on migration and transformation of As in soil in the process of seawater intrusion by applying biochar, so as to finally obtain that temperature increase and SO4 2‑ play an important role in migration and transformation of As, Fe and S in solid-liquid phase of soil under the condition of flooding. The temperature increase can accelerate the reaction speed of As, Fe and S, the introduction of SO4 2‑ into the soil containing As under the condition of flooding can promote the processes of reductive dissolution and release and fixation of As and Fe in the soil, increase the potential risk of release of As in solid phase, and the experimental results can provide a reference for understanding of the process of migration and transformation of As in coastal soil under the influence of climate warming and seawater intrusion.

The invention discloses an in-situ testing device for environmental chemical property parameters of a seabed sedimentary layer. The in-situ testing device is specially designed for being matched with a seabed drilling machine. In the operation process, the device is fixedly installed in a specific test section cavity of the detection rod. The diaphragm pump is driven by the electric push rod to achieve stable displacement in the vertical direction, pore water samples are passively collected by means of the synergistic effect of the permeable ceramic and the one-way valve, the pore water samples in the detection cavity are updated through the pump valve, and therefore in-situ continuous detection of key chemical parameters such as pH, H2S, Eh and CO3 < 2-> of pore water of the seabed sedimentary layer is achieved. The system has the advantages of simple and reliable structure, low-disturbance acquisition, high precision, quick response, strong environmental adaptability, low cost, convenience in maintenance, high efficiency and the like. High-quality in-situ test data is provided for marine scientific research and resource development, and deep understanding of the biogeochemical process of the seabed sedimentary layer is facilitated.

The present application relates to the technical field of biogeochemistry, and discloses a method, system, device and medium for quantitatively analyzing the influence of calcification of calcified organisms on carbon emission, comprising: setting a chemical equilibrium initial state of a target system according to a research purpose, wherein a plurality of chemical reactions exist in the target system; changing the concentration of a variable to be studied by a preset amplitude value; solving the equilibrium state of the plurality of chemical reactions under the condition that the concentration of the variable to be studied is changed by the preset amplitude value, obtaining the concentration change of a system variable of interest, and repeating the step until a preset cycle termination condition is reached; and obtaining a quantitative influence factor of the change of the variable to be studied on the target system according to the concentration change of the system variable of interest and the preset amplitude value of the concentration change of the variable to be studied. The present application proposes a simplified chemical equilibrium simulation method suitable for a carbonate system after a small disturbance, which has high precision and can be used to accurately evaluate the influence of the variable to be studied on the system variable of interest of the target system.

The present application belongs to the field of marine ecological dynamics and biogeochemical process coupling simulation technology, and particularly relates to a method for regulating marine diatom-microzooplankton competition evolution mechanism by nutrient salt-enzyme activity, comprising the following steps: constructing a model according to the double-algae niche competition principle of nutrient salt and enzyme activity regulation, introducing an enzyme activity regulation submodule, and regulating the growth, metabolism, secretion and death processes of phytoplankton. The model comprises a nutrient salt module, a phytoplankton module and a detritus module, which are respectively used for simulating the migration and transformation process of nutrient salt in the marine environment, the growth and death process of phytoplankton and the transformation process of detritus. The absorption, assimilation and transformation processes of nutrient salt are regulated by enzyme activity, and the detritus is divided into cell detritus and particulate detritus, so as to distinguish the loss of dead cell organic matter and the mineralization process of detritus, and the cell disintegration process is supplemented. Finally, the phytoplankton growth and death dynamics parameters are simulated by the model, and the mechanism of marine diatom-microzooplankton competition evolution is analyzed.

This invention discloses a method for quantifying upwelling intensity and its biogeochemical processes based on hydrogen and oxygen isotopes. The method includes: acquiring hydrological information and hydrogen and oxygen isotope values ​​of a target sea area, and establishing a hydrogen and oxygen isotope mass balance model; calculating the proportion of different source water bodies in the upwelling influence zone of the target sea area based on the hydrogen and oxygen isotope mass balance model, and obtaining the contribution of deep water to the upwelling influence zone; estimating the theoretical nutrient concentration of the upwelling influence zone based on the nutrient concentrations of the original surface water and the deep water at the upwelling source, as well as the contribution of deep water to the upwelling influence zone; and comparing the measured nutrient concentration of the upwelling influence zone with the theoretical nutrient concentration to obtain the contribution of biological processes in the target sea area. This invention leverages the advantage that water hydrogen and oxygen isotopes are tracers of water itself, developing a method for quantifying upwelling intensity and its biogeochemical processes, providing a new technical approach for the scientific quantitative assessment of upwelling ecosystems.

The invention discloses a method for evaluating the regional temperature effect of forest landscape mode change, and belongs to the technical field of the regional temperature effect of forest landscape mode change, and the method comprises the steps: data acquisition and processing; evaluating the influence of the forest landscape mode change and the biophysical process on the surface temperature based on a space-to-time method and an area weighting method; evaluating the carbon deficit and accumulation characteristics of the forest landscape mode change based on a space-to-time method and the carbon density data; evaluating the influence of the forest landscape mode change and the biogeochemical process on the surface temperature based on a space-to-time method, carbon density data and a climate model; evaluating the influence of the forest landscape mode change on the regional temperature in cooperation with biophysical and biogeochemical processes; by integrating the high-resolution remote sensing data, space-time dynamic simulation of the forest landscape recovery and degradation process is realized, and the temperature effect of the forest landscape is accurately evaluated.

The present invention provides a process model system for simulating the HONO flux of an ecosystem and a construction method thereof, which relates to the technical field of soil nitrogen cycling processes. Based on the current version of the hydrological-biogeochemical process model (CNMM-DNDC), the present invention designs a scientific process simulation mechanism for the generation and consumption of HONO in soil and the HONO exchange at the soil-plant-atmosphere interface at the source code level. The above-mentioned newly added process source code is seamlessly coupled with the soil nitrogen cycling process module of the current version of the CNMM-DNDC model, obtaining an improved version of the CNMM-DNDC model execution program, which makes up for the blank that the existing biogeochemical process models do not have the simulation function of the generation and consumption of HONO in soil and its transport at the soil-plant-atmosphere interface.

The invention belongs to the technical field of ocean remote sensing monitoring, particularly relates to a polar region winter phytoplankton net primary productivity dynamic monitoring method and system and a computer program, and is suitable for biogeochemical process monitoring under the weak light condition of polar region sea areas such as the south pole and the north pole. The method comprises the following steps: multi-source data acquisition and space-time matching; satellite-borne laser radar data signal correction, including transient response elimination and polarization crosstalk correction; satellite-borne laser radar data quality control; constructing a physical bio-optical parameter database; training a double-branch deep learning model; step-by-step parameter reconstruction is carried out; carrying out light adaptation modeling on a vertical section; calculating carbon-based productivity; and multi-source data verification is carried out, so that the accurate net primary productivity of the polar region winter sea area phytoplankton is obtained.

The invention discloses an indoor monitoring method and system for underground solute or colloid migration, and the method comprises the steps: decoupling a complex conductivity spectrum through a Cole-Cole model, building a quantitative mapping relation between the complex conductivity spectrum and the distribution of solutes or colloids in different time-space and different phase states output by a one-dimensional convection-dispersion equation, and carrying out the indoor monitoring of the underground solute or colloid migration. A regulation and control mechanism of solute or colloid adsorption kinetics on an interface polarization effect can be disclosed; according to the invention, indoor simulation experiments of underground solute or colloid migration under various hydrological conditions can be realized, geoelectric response is associated with specific changes of underground solute or colloid in physical and biogeochemical processes, and an underground solute or colloid migration monitoring method with micro-intervention, real-time monitoring and spatial linear continuous measurement is provided. The solute or colloid migration process is transparentized, and the cost is greatly reduced.

The invention discloses a machine learning-based CO2-H2 underground biochemical synthetic natural gas conversion efficiency prediction method. The method comprises the following steps of selecting an input characteristic variable of a machine learning model; obtaining an input sample based on the input characteristic variable value range and a Latin hypercube sampling method; calculating a CO2-H2 average aging conversion rate by utilizing biogeochemical simulation results under different input sample conditions, and taking the CO2-H2 average aging conversion rate as an output sample of the machine learning model; on the basis of the normalized input sample and the unprocessed output sample, constructing a machine learning agent model of the CO2-H2 average aging conversion rate; and predicting the CO2-H2 average aging conversion rate of the target oil and gas reservoir by using the proxy model. According to the method, the machine learning method is combined with the CO2-H2 average aging conversion rate index for the first time, the conversion efficiency of the CO2-H2 underground biochemical synthetic natural gas is predicted, and the calculation efficiency and the prediction accuracy are effectively improved.

The invention relates to a copper isotope standard substance for biological matrix matching and a preparation method thereof, and belongs to the technical field of analytical geochemistry. The preparation method of the copper isotope standard substance for biological matrix matching comprises the following steps: dissolving NIST SRM 976 in water to obtain a copper isotope standard solution, and mixing agar powder, a polymer dispersant, an ionic dispersant and the copper isotope standard solution to obtain a mixed agar solution; and heating the mixed agar solution until the mixed agar solution is clear and free of bubbles to prepare semi-solid agar gel, and drying to obtain the semi-solid agar gel. The preparation method of the copper isotope standard substance for biological matrix matching is simple and low in cost, facilitates promotion of application of an LA-MC-ICP-MS technology to analysis of biological samples, also facilitates comparison of data in different laboratories, and is suitable for popularization and application of the copper isotope standard substance for biological matrix matching. The method has a great promotion effect on the development of biogeochemistry, environmental science, biology, medicine and other subjects.

The present application relates to the technical field of environmental monitoring and ecological assessment, and specifically discloses a dynamic evaluation system for carbon flux of lakes in cold regions based on in-situ monitoring, which comprises a watershed carbon input flux monitoring module, a high-frequency monitoring module for in-situ carbon process of lakes, a multi-scale process coupling simulation engine, and a carbon flux dynamic evaluation and visualization module. By integrating the watershed input and high-frequency monitoring data in the lake, the model coupling hydrology, ice conditions and biogeochemical processes is driven to dynamically simulate the carbon migration and transformation, and the net carbon flux at multiple time scales is calculated based on mass balance, thereby realizing the systematic, accurate and visual dynamic evaluation of the carbon source and sink function of lakes in cold regions. Through the dynamic evaluation algorithm in the carbon flux dynamic evaluation and visualization module, the present application realizes the sublimation from instantaneous flux monitoring to net carbon flux evaluation at multiple time scales.

The present invention discloses a method and system for analyzing biogeochemical element cycles in a metagenomic dataset, comprising: obtaining raw experimental data, obtaining annotation files, sample grouping files, and non-redundant genome profile files based on the raw experimental data; preprocessing the annotation files, sample grouping files, and non-redundant genome profile files to obtain a sample dataset; constructing a chemical element cycle analysis model, obtaining a chemical element profile file based on the sample dataset and the chemical element cycle analysis model; classifying and arranging the chemical element profile files according to corresponding experimental processing conditions, performing statistical analysis on each classification and then visualizing it, and storing the statistical analysis results and the visual processing results. When users need to analyze large metagenomic datasets, the system enables users to comprehensively, quickly, and flexibly obtain intuitive information about microorganisms.

The invention relates to the technical field of environmental monitoring and ecological evaluation, and particularly discloses a cold region lake carbon flux dynamic evaluation system based on in-situ monitoring, which comprises a drainage basin carbon input flux monitoring module, a lake in-situ carbon process high-frequency monitoring module, a multi-scale process coupling simulation engine and a carbon flux dynamic evaluation and visualization module. By integrating basin input and high-frequency monitoring data in the lake, a model coupled with hydrology, ice conditions and biogeochemical processes is driven, carbon migration and transformation are dynamically simulated, and multi-time-scale net carbon flux is calculated based on mass balance, so that systematic, accurate and visual dynamic evaluation of the carbon source sink function of the lake in the cold region is realized. According to the system, sublimation from instantaneous flux monitoring to multi-time scale net carbon flux evaluation is realized through a dynamic evaluation algorithm in a carbon flux dynamic evaluation and visualization module.

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.