Microplastic simulation prevention and control method and system

Abstract

The present invention discloses a microplastic simulation prevention and control method and system, which relates to the technical field of water pollution prevention and control. The method comprises the following steps: first, obtaining real-time data of microplastic concentration and flow data; then, according to the real-time data, correcting the parameters of a three-dimensional microplastic transport model in real time until the preset conditions are met, and outputting the simulation results; wherein the three-dimensional microplastic transport model is used to simulate the spread of microplastics, and the simulation results include the concentration and diffusion of microplastics; then, analyzing the simulation results, obtaining the propagation prediction results of microplastics; wherein the prediction results include the spatial distribution characteristics of microplastics and the transport trend of microplastics; finally, preventing and controlling the spread of microplastics according to the prediction results. The present invention corrects the parameters of the three-dimensional microplastic transport model in real time through real-time data, thereby improving the accuracy of the three-dimensional microplastic transport model in simulating the spread of microplastics.

Description

Technical Field

[0001] The present invention relates to the technical field of water pollution prevention and control, and in particular to a microplastic simulation prevention and control method and system. Background Art

[0002] Microplastic pollution refers to the widespread distribution of tiny particles of plastic in the environment, which has caused serious harm to marine and freshwater ecosystems and the food chain. With the widespread use of plastic products, microplastic pollution has become a global environmental problem, attracting great attention. The complexity and concealment of microplastic pollution pose severe challenges to prevention and control, and it is urgent to develop feasible solutions to deal with this problem.

[0003] At present, in the process of microplastic prevention and control, some studies have used mathematical models to predict the transmission path of microplastics in order to better formulate prevention and control strategies, such as fluid dynamics models and water flow models. However, these models usually need to consider factors such as circulation, wind direction and hydrodynamics. However, in actual applications, due to the complex changes in the environment, it is difficult to ensure the accuracy and stability of the model, which may lead to more or less deviations in the formulation of prevention and control strategies, thus affecting the implementation of prevention and control work. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a microplastic simulation prevention and control method and system, which can improve the accuracy of the three-dimensional microplastic transport model in simulating the spread of microplastics.

[0005] The first aspect of the embodiment of the present invention discloses a method for simulating prevention and control of microplastics, comprising the following steps:

[0006] Get real-time data on microplastic concentrations and fluxes;

[0007] The parameters of the three-dimensional microplastic transport model are corrected in real time according to the real-time data until the preset conditions are met, and the simulation results are output; wherein the three-dimensional microplastic transport model is used to simulate the propagation of microplastics, and the simulation results include the concentration and diffusion of microplastics;

[0008] Analyzing the simulation results to obtain prediction results of the spread of microplastics; wherein the prediction results include the spatial distribution characteristics of microplastics and the migration trend of microplastics;

[0009] The spread of microplastics is prevented and controlled based on the prediction results.

[0010] Furthermore, the three-dimensional microplastic transport model is constructed in the following manner:

[0011] Construct hydrodynamic model through three-dimensional shallow water equations;

[0012] Constructing a convection-diffusion equation based on the hydrodynamic model, wherein the convection-diffusion equation is used to simulate the diffusion of substances in water;

[0013] An unstructured grid is used to fit the coastline and terrain to obtain a three-dimensional microplastic transport model, wherein the unstructured grid includes a plurality of nodes, and the nodes are used to output the concentration and diffusion of microplastics at corresponding positions through the convection-diffusion equation.

[0014] Furthermore, the convection-diffusion equation is expressed as:

[0015]

[0016] Where S = Q s (C s -C);

[0017] Where D x is the diffusion coefficient in the x direction, D y is the diffusion coefficient in the y direction, C is the substance concentration, F is the linear attenuation coefficient, h is the water depth, u is the flow velocity in the x direction, v is the flow velocity in the y direction, Q s is the source-sink flow, C s is the substance concentration at the source and sink, S is the source and sink term, and t is the time.

[0018] Furthermore, the parameters of the three-dimensional microplastic transport model are corrected in real time according to the real-time data until preset conditions are met, and outputting the simulation results includes the following steps:

[0019] Performing a microplastic transport simulation on the three-dimensional microplastic transport model to obtain an initial simulation result;

[0020] Comparing the real-time data with the initial result to obtain an error result;

[0021] If the error result does not meet the preset conditions, the roughness and diffusion coefficient of the three-dimensional microplastic transport model are corrected according to the real-time data until the error result meets the preset conditions, and the simulation results are output through the three-dimensional microplastic transport model.

[0022] Furthermore, before the step of analyzing the simulation results to obtain the prediction results of the spread of microplastics, the microplastic simulation prevention and control method further includes the following steps:

[0023] The simulation results are subjected to data cleaning and standardization processing, wherein the data cleaning includes deleting abnormal values, empty values ​​and invalid values ​​of the simulation results, and the standardization processing includes performing data standardization on the simulation results through an Altman model.

[0024] Furthermore, the microplastic simulation prevention and control method also includes the following steps:

[0025] The risk level and bioaccumulation information of microplastics in each region are divided according to the spatial distribution characteristics of microplastics and the migration trend of microplastics.

[0026] Furthermore, the analysis of the simulation results to obtain the prediction results of the spread of microplastics includes the following steps:

[0027] Count the number and distribution of microplastics through statistical calculation methods;

[0028] The spatial distribution characteristics of the microplastics and the transport trend of the microplastics are determined based on the quantity and distribution of the microplastics.

[0029] Furthermore, the microplastic simulation prevention and control method also includes the following steps:

[0030] The real-time data and the prediction results are displayed in real time through a visualization interface, wherein the visualization interface includes a map interface, a chart interface and an animation interface.

[0031] Furthermore, the prevention and control of the spread of microplastics according to the prediction results includes the following steps:

[0032] Performing risk assessment according to the prediction results to obtain risk assessment results; the risk assessment indicators include microplastic distribution range, microplastic concentration peak, ecological impact index and biological health risk;

[0033] Formulate risk prevention and control measures for microplastics based on the risk assessment results.

[0034] A second aspect of an embodiment of the present invention discloses a microplastic simulation prevention and control system, the microplastic simulation prevention and control system comprising:

[0035] The first module is used to obtain real-time data on microplastic concentration and flow data;

[0036] The second module is used to perform real-time correction on the parameters of the three-dimensional microplastic transport model according to the real-time data until the preset conditions are met, and output the simulation results; wherein the three-dimensional microplastic transport model is used to simulate the propagation of microplastics, and the simulation results include the concentration and diffusion of microplastics;

[0037] The third module is used to analyze the simulation results to obtain the prediction results of the spread of microplastics; wherein the prediction results include the spatial distribution characteristics of microplastics and the migration trend of microplastics:

[0038] The fourth module is used to prevent and control the spread of microplastics based on the prediction results.

[0039] Compared with the prior art, the present invention has at least one of the following advantages / benefits:

[0040] First, obtain real-time data on microplastic concentration and flow data; then, correct the parameters of the three-dimensional microplastic transport model in real time according to the real-time data until the preset conditions are met and the simulation results are output; the three-dimensional microplastic transport model is used to simulate the spread of microplastics, and the simulation results include the concentration and diffusion of microplastics; then analyze the simulation results to obtain the prediction results of the spread of microplastics; the prediction results include the spatial distribution characteristics of microplastics and the transport trend of microplastics; finally, prevent and control the spread of microplastics according to the prediction results. The parameters of the three-dimensional microplastic transport model are corrected in real time by real-time data to improve the accuracy of the three-dimensional microplastic transport model in simulating the spread of microplastics. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A flow chart of a microplastic simulation prevention and control method provided in an embodiment of the present invention;

[0043] Figure 2 A grid schematic diagram of a certain estuary provided in an embodiment of the present invention;

[0044] Figure 3(a)-Figure 3(x) The tidal level verification results of each hydrological measuring point provided by the embodiment of the present invention;

[0045] Figure 4(a)-Figure 4(o) The flow rate determination results of each hydrological measuring point provided by the embodiment of the present invention;

[0046] Figure 5 Specific steps for formulating risk prevention and control measures for the embodiments of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] It should be noted that the terms "first", "second", "third", "fourth", etc. in the specification and claims of the present invention are used to distinguish different objects rather than to describe a specific order. The terms "including" and "having" in the embodiments of the present invention and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0049] The following is a detailed description with reference to the accompanying drawings.

[0050] See also Figure 1 The microplastic simulation prevention and control method of an embodiment of the present invention includes but is not limited to the following steps: step S110, step S120, step S130 and step S140.

[0051] Step S110, obtaining real-time data of microplastic concentration and flow data.

[0052] In step S110 of some embodiments, the microplastic concentration of the embodiment of the present invention can be obtained in real time by an optical sensor, the flow data can be obtained in real time by a flow monitoring device, and the real-time data can be temporarily stored in a data logger. In addition, the real-time data in the data logger can also be transmitted to the background server through 5G wireless transmission technology, and stored in the corresponding database for use by the three-dimensional microplastic transport model.

[0053] Step S120, correct the parameters of the three-dimensional microplastic transport model in real time according to the real-time data until the preset conditions are met, and output the simulation results; wherein the three-dimensional microplastic transport model is used to simulate the propagation of microplastics, and the simulation results include the concentration and diffusion of microplastics.

[0054] In step S120 of some embodiments, the parameters of the three-dimensional microplastic transport model are corrected in real time according to the real-time data until the preset conditions are met, and outputting the simulation results includes the following steps:

[0055] Conduct microplastic transport simulation on the three-dimensional microplastic transport model to obtain the initial simulation results;

[0056] Comparing the real-time data with the initial result to obtain an error result;

[0057] If the error result does not meet the preset conditions, the roughness and diffusion coefficient of the three-dimensional microplastic transport model are corrected according to the real-time data until the error result meets the preset conditions, and the simulation results are output through the three-dimensional microplastic transport model.

[0058] In an embodiment of the present invention, the preset condition is 20%. When the error result is higher than 20%, the roughness and diffusion coefficient of the three-dimensional microplastic transport model are corrected according to real-time data until the error result is lower than 20%, and the simulation result is output.

[0059] Step S130, analyzing the simulation results to obtain prediction results of the spread of microplastics; wherein the prediction results include the spatial distribution characteristics of microplastics and the migration trends of microplastics.

[0060] In step S130 of some embodiments, analyzing the simulation results to obtain the prediction results of the spread of microplastics includes the following steps:

[0061] Count the number and distribution of microplastics through statistical calculation methods;

[0062] The spatial distribution characteristics and transport trends of microplastics are determined based on the number and distribution of microplastics.

[0063] Step S140, preventing and controlling the spread of microplastics based on the prediction results.

[0064] In step S140 of some embodiments, based on the prediction results, multi-target prevention and control measures are formulated by comprehensively considering factors such as the environment, ecological impact, and biological health to minimize the impact of microplastics on the environment and ecosystem.

[0065] According to some embodiments of the present invention, a three-dimensional microplastic transport model is constructed in the following manner:

[0066] Construct hydrodynamic model through three-dimensional shallow water equations;

[0067] Constructing a convection-diffusion equation based on the hydrodynamic model, wherein the convection-diffusion equation is used to simulate the diffusion of substances in water;

[0068] An unstructured grid is used to fit the coastline and terrain to obtain a three-dimensional microplastic transport model, wherein the unstructured grid includes a plurality of nodes, and the nodes are used to output the concentration and diffusion of microplastics at corresponding positions through the convection-diffusion equation.

[0069] As an optional implementation, the embodiment of the present invention constructs a hydrodynamic model based on the static pressure approximation and the Boussineske approximation theory, and solves the flow velocity (u) in the x direction, the flow velocity (v) in the y direction, and the water depth (h). In the Cartesian coordinate system, the hydrodynamic model can be expressed as:

[0070]

[0071]

[0072]

[0073]

[0074]

[0075]

[0076] Where (x, y) is the horizontal Cartesian coordinate (m), z is the vertical coordinate (upward is positive, m), is the Hamiltonian operator, t is time (s), η is the free water surface elevation (m), h(x, y) is the water depth (m), is the horizontal velocity (two components in Cartesian coordinates, (u, v), (m / s)), w is the vertical velocity (m / s), is the Coriolis force factor (s-1), g is the acceleration due to gravity (m / s 2 ), ψ(φ, λ) is the tidal potential (m), α is the effective earth elasticity factor, ρ is the density of water ((x, t), the default reference value ρ0 is 1025 kg / s 3 ), P A (x, y, t) is the atmospheric pressure on the free water surface (N / s 2 ), S, T are the water temperature and salinity (psu), v is the vertical eddy viscosity coefficient (m 2 / s), μ is the horizontal eddy viscosity coefficient (m 2 / s), k is the vertical eddy diffusion coefficient of temperature and salinity (m 2 / s), F s 、F h is the horizontal diffusion coefficient in the transport equation, Q is the solar radiation absorption rate (W / m 2 ), C p is the specific heat of water (J / kg / K).

[0077] As an optional implementation, the embodiment of the present invention is based on a hydrodynamic model and constructs a convection-diffusion equation to simulate the process of material transport and diffusion in a water body under the action of convection-diffusion, wherein the convection-diffusion equation is expressed as:

[0078]

[0079] Where S = Q s (C s -C); (8)

[0080] Among them, D x is the diffusion coefficient in the x direction, D y is the diffusion coefficient in the y direction, C is the substance concentration, F is the linear attenuation coefficient, h is the water depth, u is the flow velocity in the x direction, v is the flow velocity in the y direction, Q sis the source-sink flow, C s is the substance concentration at the source and sink, S is the source and sink term, and t is the time.

[0081] As an optional implementation, the three-dimensional microplastic transport model of the embodiment of the present invention uses the semi-implicit cross-scale ocean model (SCHISM model) of the ocean circulation model, taking into account the transport characteristics of microplastic particles, please refer to Figure 2 This embodiment uses an unstructured grid for fine fitting of complex coastlines and terrains. The biggest advantage of this model is that it reduces the restrictions of the Courant condition (CFL condition). Under the premise of ensuring the accuracy of the calculation results, the time step can be appropriately enlarged to improve the calculation accuracy and efficiency at the same time.

[0082] Furthermore, the calculation range of the three-dimensional microplastic transport model of the embodiment of the present invention is from 112.6°E to 113.6°E, 21°N to 23.6°N. The upper boundaries are selected from Gaoyao of the Xijiang River, Shijiao of the Beijiang River, Boluo, Xiliuhe and the upper reaches of the Tanjiang River of the Dongjiang River. The embodiment of the present invention takes into account that Laoyagang and Shizui are within the tidal boundary, so in the simulation process, their flow boundaries are extended by 35km each, and the upper extended river channel is generalized to reduce the error effect on the calculation results. The lower boundary of the open sea is approximately 100m deep. In addition, due to the complex structure and wide spatial range of a certain estuary, the number of grids established for a certain estuary is relatively large, with 122,356 nodes and 180,986 grid cells, and the size of the grid cell is 10-1200m.

[0083] The model uses Sigma coordinates in the vertical direction and is divided into 10 layers, equally divided according to the local water depth, and the layer thickness varies with the water depth.

[0084] According to some embodiments of the present invention, before simulation using the three-dimensional microplastic transport model, it is also necessary to verify the tidal level and calibrate the flow rate of the three-dimensional microplastic transport model to check the accuracy of the three-dimensional microplastic transport model, mainly by selecting the hydrological data of the synchronous measurement of the entire estuary network in 2016 for verification and calibration.

[0085] The specific steps are as follows: first, select hydrological data to obtain the measured values ​​of tide level and flow velocity; then simulate several key hydrological stations in the hydrological data through the three-dimensional microplastic transport model to obtain simulated tide level test values ​​and flow velocity test values; finally, compare the measured value of tide level with the simulated tide level test value, and compare the measured value of flow velocity with the flow velocity test value, and calculate the average error between the tide level test value and the measured value of tide level, and judge the tide level verification results, flow velocity verification results and average error to test the simulation ability of the three-dimensional microplastic transport model. If the tide level test value and the flow velocity test value are basically consistent with the measured values ​​of tide level and flow velocity, and the average error between the tide level test value and the measured value of tide level is small, it proves that the accuracy of the three-dimensional microplastic transport model is high, that is, the spread of microplastics can be simulated through the three-dimensional microplastic transport model.

[0086] The following is a detailed description with reference to the relevant figures and data:

[0087] (1) Tide level verification

[0088] In order to make the 3D microplastic transport model better simulate the overall water level of a certain estuary, the main measuring stations of the eight major estuaries and several key hydrological stations in the Wanghe area were selected for tidal level verification. The verification stations basically cover the entire Xibeijiang Delta. The tidal level verification results of each hydrological measuring point can be found in Figure 3(a)-Figure 3(x) .Depend on Figure 3(a)-Figure 3(x) It can be seen that the tidal level values ​​(test values) calculated by the model are almost consistent with the measured values. As shown in Table 1, the maximum deviation of the average error between the tidal level test values ​​and the measured values ​​is 0.21m, that is, the tidal level test values ​​are basically consistent with the measured values ​​of the tidal level.

[0089] Table 1 Average error between the tide level test value and the measured value

[0090]

[0091]

[0092] (2) Flow rate determination

[0093] See also Figure 4(a)-Figure 4(o) It can be seen that the flow velocity test value is basically consistent with the measured value of the flow velocity, and the maximum flow velocity at high tide and low tide is also basically consistent with the measured value. Overall, the flow velocity (test value) is in good agreement with the measured value.

[0094] Depend on Figure 3(a)-Figure 3(x) , Figure 4(a)-Figure 4(o) As shown in Table 1, the tidal level test values ​​and flow velocity test values ​​of each hydrological station are basically consistent with the measured values ​​of tidal level and flow velocity, and the average error between the tidal level test values ​​and the measured values ​​of tidal level is small. Therefore, the propagation of microplastics in a certain estuary can be simulated by a three-dimensional microplastic transport model.

[0095] According to some embodiments of the present invention, before analyzing the simulation results to obtain the prediction results of the spread of microplastics, the microplastic simulation prevention and control method further includes the following steps:

[0096] The simulation results are cleaned and standardized, wherein the data cleaning includes deleting abnormal values, empty values ​​and invalid values ​​of the simulation results, and the standardization includes standardizing the simulation results through the Altman model.

[0097] In the embodiment of the present invention, the Altman model (z-score) can be expressed as:

[0098] Z=(X-μ) / σ;(9)

[0099] Among them, Z is the standardized value; X is the original value to be standardized; μ is the mean of the original data; σ is the standard deviation of the original data. The standardized value follows the standard normal distribution, that is, the mean is 0 and the standard deviation is 1.

[0100] By standardizing data, the impact of data dimension and scale can be eliminated, making the data distribution more concentrated and improving the effect of subsequent data visualization.

[0101] According to some embodiments of the present invention, the microplastic simulation prevention and control method of the embodiment of the present invention further includes the following steps:

[0102] The risk level and bioaccumulation information of microplastics in each region are divided according to the spatial distribution characteristics of microplastics and the migration trend of microplastics.

[0103] As an optional implementation, the spatial distribution characteristics of microplastics in the region and the migration trend of microplastics can be analyzed, and the risk level of microplastic pollution in the region can be divided into low risk, medium risk or high risk according to the content of microplastics and the diffusion trend of microplastics. The higher the content of microplastics in the region and the higher the diffusion trend, the higher the risk level of microplastic pollution. Similarly, the bioaccumulation information in the region can also be inferred based on the content of microplastics and the diffusion trend of microplastics. The more bioaccumulation information there is, the more serious the microplastic pollution is.

[0104] According to some embodiments of the present invention, the method for preventing and controlling microplastic simulation further comprises the following steps:

[0105] Real-time data and prediction results are displayed in real time through a visual interface, where the visual interface includes a map interface, a chart interface, and an animation interface.

[0106] Optionally, Python's data analysis function can be used to visualize the real-time data and prediction results. The visualization can be achieved by the following steps:

[0107] (1) Load the dataset of prediction results and convert it into a data matrix containing microplastic concentration, longitude and latitude.

[0108] (2) Use the matplotlib library to create a graph and set basic properties such as the size and title of the graph. Then, use the imshow() function to plot the two-dimensional data matrix into a node map to represent the spatial distribution of microplastics. You can also use the scatter() function to plot the length and width information (or longitude and latitude information) of the graph and the microplastic concentration data into a scatter plot to represent the spatial distribution characteristics of microplastics.

[0109] (3) Use the seaborn library to generate trend graphs to show the transport trend of microplastics. At the same time, the transport trend of microplastics can be displayed in time series, and the transport comparison under various environmental factors can be displayed.

[0110] (4) Add visual elements such as colorbars, and make the graph more intuitive by setting various color mappings and transparency. At the same time, by marking graphic elements such as coordinate axes and legends, users can intuitively understand.

[0111] (5) By introducing the Plotly tool, an interactive visualization interface is developed. Users can view more detailed data by clicking or dragging, or view data from different angles through views.

[0112] According to some embodiments of the present invention, preventing and controlling the spread of microplastics according to the prediction results includes the following steps:

[0113] Conduct risk assessment based on the prediction results to obtain risk assessment results; risk assessment indicators include microplastic distribution range, microplastic concentration peak, ecological impact index and biological health risk;

[0114] Formulate risk prevention and control measures for microplastics based on risk assessment results.

[0115] As an optional implementation, the embodiment of the present invention uses multi-dimensional indicators to conduct risk assessment on the prediction results. First, determine the indicators for microplastic risk assessment, such as the distribution range of microplastics, the peak concentration of microplastics, the ecological impact index and the biological health risk. Then use the hierarchical analysis method to assign weights to each indicator, and reflect the impact of each indicator in the overall risk through the size of the weight. Then standardize the prediction results to ensure the comparability of each indicator. Then, calculate the comprehensive value of each indicator through the standardized data and weights. Finally, the comprehensive value of each indicator is calculated according to the weight to obtain the risk assessment result.

[0116] The indicators and weights mainly considered in the embodiment of the present invention are described as follows:

[0117] (1) Microplastic distribution range (weight 0.3): used to measure the coverage area of ​​microplastics in water bodies. The larger the distribution range of microplastics, the higher the comprehensive value of the indicator. For example, the comprehensive value of the microplastic distribution range is 0.65.

[0118] (2) Peak microplastic concentration (weight 0.4): used to assess the peak concentration of microplastic particles at a specific location. The higher the peak microplastic concentration, the greater the pollution risk. For example, the comprehensive value of the microplastic distribution range is 0.60.

[0119] (3) Ecological impact index (weight 0.2): Combined with ecological sensitivity data, the potential impact of microplastics on the ecosystem is calculated. For example, the comprehensive value of the distribution range of microplastics is 0.50.

[0120] (4) Biological health risk (weight 0.1): Based on toxicity data and exposure conditions, the degree of microplastics' risk to biological health is estimated. For example, the comprehensive value of the distribution range of microplastics is 0.30.

[0121] Furthermore, according to the weight distribution, the risk assessment result of the embodiment of the present invention can be obtained by formula (10):

[0122] Risk assessment result = (0.3*0.65)+(0.4*0.60)+(0.2*0.50)+(0.1*0.30)=0.56. (10)

[0123] Furthermore, the risk assessment results are divided into risk levels according to the following settings:

[0124] 0.0-0.3: low risk; 0.31-0.6: medium risk; 0.61-1.0: high risk.

[0125] Furthermore, based on the consideration of limiting factors such as the environment, ecology and biological health, and according to the risk assessment results, effective microplastic risk prevention and control measures should be formulated, including but not limited to reducing the production capacity of microplastics, increasing the recycling rate of microplastics and improving the waste treatment process of microplastics, so as to reduce the emission of microplastics.

[0126] See also Figure 5 The specific steps of formulating risk prevention and control measures in the embodiment of the present invention include the following:

[0127] (1) Analyze and evaluate the results: Carefully analyze the multi-dimensional risk assessment results and divide the risk levels according to the risk assessment results. (2) Prioritization: Determine which risk assessment indicators need to be given priority. (3) Set goals: Clarify prevention and control goals, such as reducing the distribution range of microplastics, reducing the peak concentration of microplastics, minimizing ecological impacts, or reducing biological health risks. (4) Technical feasibility analysis: Analyze feasible prevention and control technologies, including but not limited to source reduction, waste treatment innovation, and efficient recycling. (5) Risk management strategy: Based on the priority indicators, formulate management strategies for different risk dimensions, such as establishing ecological protection areas and strengthening waste management regulations.

[0128] Furthermore, the process of formulating risk prevention and control measures in the embodiment of the present invention is as follows:

[0129] (1) Analysis and assessment results: Based on the comprehensive value of each indicator, the risk assessment result is 0.56, which is medium risk.

[0130] (2) Priority sorting: Comprehensively analyze the comprehensive values ​​of various indicators and the one with the highest ecological impact index will be given priority.

[0131] (3) Set goals: Reduce the ecological impact of microplastics and protect local ecosystems.

[0132] (4) Technical feasibility analysis: Consider using ecological restoration technology to restore damaged ecosystems to reduce the impact of microplastic pollution.

[0133] (5) Risk management strategies: for example, establishing ecological protection areas, restricting human activities, restoring aquatic plants, or improving ecological resilience.

[0134] Furthermore, the risk assessment results can be visualized through radar charts, comprehensive risk index trend charts, risk classification maps or tree diagrams, which will help to quickly formulate scientific microplastic prevention and control measures.

[0135] The embodiment of the present invention also provides a microplastic simulation prevention and control system, including:

[0136] The first module is used to obtain real-time data on microplastic concentration and flow data;

[0137] The second module is used to calibrate the parameters of the three-dimensional microplastic transport model in real time according to real-time data until the preset conditions are met and output the simulation results; the three-dimensional microplastic transport model is used to simulate the spread of microplastics, and the simulation results include the concentration and diffusion of microplastics;

[0138] The third module is used to analyze the simulation results and obtain the prediction results of the spread of microplastics; the prediction results include the spatial distribution characteristics of microplastics and the transport trend of microplastics:

[0139] The fourth module is used to prevent and control the spread of microplastics based on the prediction results.

[0140] The above is a specific description of the preferred implementation of the present invention, but the present invention is not limited to the described embodiments. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A method for simulating prevention and control of microplastics, characterized in that: The following steps are involved: Get real-time data on microplastic concentrations and fluxes; The parameters of the three-dimensional microplastic transport model are corrected in real time according to the real-time data until the preset conditions are met, and the simulation results are output; wherein the three-dimensional microplastic transport model is used to simulate the propagation of microplastics, and the simulation results include the concentration and diffusion of microplastics; Analyzing the simulation results to obtain prediction results of the spread of microplastics; wherein the prediction results include the spatial distribution characteristics of microplastics and the migration trend of microplastics; Prevent and control the spread of microplastics based on the prediction results; The parameters of the three-dimensional microplastic transport model are corrected in real time according to the real-time data until the preset conditions are met, and the output simulation results include the following steps: Performing a microplastic transport simulation on the three-dimensional microplastic transport model to obtain an initial simulation result; Comparing the real-time data with the initial result to obtain an error result; If the error result does not meet the preset conditions, the roughness and diffusion coefficient of the three-dimensional microplastic transport model are corrected according to the real-time data until the error result meets the preset conditions, and the simulation results are output through the three-dimensional microplastic transport model; The prevention and control of the spread of microplastics according to the prediction results includes the following steps: Performing risk assessment according to the prediction results to obtain risk assessment results; the risk assessment indicators include microplastic distribution range, microplastic concentration peak, ecological impact index and biological health risk; Formulate risk prevention and control measures for microplastics based on the risk assessment results; Wherein, the risk assessment is performed according to the prediction results to obtain the risk assessment results, including the following steps: using the analytic hierarchy process to assign weights to the microplastic distribution range, microplastic concentration peak, ecological impact index and biological health risk indicators; The risk assessment results are obtained based on the comprehensive values ​​of the microplastic distribution range, microplastic concentration peak, ecological impact index and biological health risk indicators as well as weight calculations.

2. The microplastic simulation prevention and control method according to claim 1, characterized in that: The three-dimensional microplastic transport model was constructed in the following way: Construct hydrodynamic model through three-dimensional shallow water equations; Constructing a convection-diffusion equation based on the hydrodynamic model, wherein the convection-diffusion equation is used to simulate the diffusion of substances in water; An unstructured grid is used to fit the coastline and terrain to obtain a three-dimensional microplastic transport model, wherein the unstructured grid includes a plurality of nodes, and the nodes are used to output the concentration and diffusion of microplastics at corresponding positions through the convection-diffusion equation.

3. The microplastic simulation prevention and control method according to claim 2, characterized in that: The convection-diffusion equation is expressed as: Where S = Q s (C s -C); Among them, D x is the diffusion coefficient in the x direction, D y is the diffusion coefficient in the y direction, C is the substance concentration, F is the linear attenuation coefficient, h is the water depth, u is the flow velocity in the x direction, v is the flow velocity in the y direction, Q s is the source-sink flow, C s is the substance concentration at the source and sink, S is the source and sink term, and t is the time.

4. The microplastic simulation prevention and control method according to claim 1, characterized in that: Before the step of analyzing the simulation results to obtain the prediction results of the spread of microplastics, the microplastic simulation prevention and control method further includes the following steps: The simulation results are subjected to data cleaning and standardization processing, wherein the data cleaning includes deleting abnormal values, empty values ​​and invalid values ​​of the simulation results, and the standardization processing includes performing data standardization on the simulation results through an Altman model.

5. The microplastic simulation prevention and control method according to claim 1, characterized in that: The microplastic simulation prevention and control method also includes the following steps: The risk level and bioaccumulation information of microplastics in each region are divided according to the spatial distribution characteristics of microplastics and the migration trend of microplastics.

6. The microplastic simulation prevention and control method according to claim 1, characterized in that: The analysis of the simulation results to obtain the prediction results of the spread of microplastics includes the following steps: Count the number and distribution of microplastics through statistical calculation methods; The spatial distribution characteristics of the microplastics and the transport trend of the microplastics are determined based on the quantity and distribution of the microplastics.

7. The microplastic simulation prevention and control method according to claim 3, characterized in that: The microplastic simulation prevention and control method also includes the following steps: The real-time data and the prediction results are displayed in real time through a visualization interface, wherein the visualization interface includes a map interface, a chart interface and an animation interface.

8. A microplastic simulation prevention and control system, characterized in that: The microplastic simulation prevention and control system comprises: The first module is used to obtain real-time data on microplastic concentration and flow data; The second module is used to perform real-time correction on the parameters of the three-dimensional microplastic transport model according to the real-time data until the preset conditions are met, and output the simulation results; wherein the three-dimensional microplastic transport model is used to simulate the propagation of microplastics, and the simulation results include the concentration and diffusion of microplastics; The third module is used to analyze the simulation results to obtain the prediction results of the spread of microplastics; wherein the prediction results include the spatial distribution characteristics of microplastics and the migration trend of microplastics: The fourth module is used to prevent and control the spread of microplastics based on the prediction results; The parameters of the three-dimensional microplastic transport model are corrected in real time according to the real-time data until the preset conditions are met, and the output simulation results include the following steps: Performing a microplastic transport simulation on the three-dimensional microplastic transport model to obtain an initial simulation result; Comparing the real-time data with the initial result to obtain an error result; If the error result does not meet the preset conditions, the roughness and diffusion coefficient of the three-dimensional microplastic transport model are corrected according to the real-time data until the error result meets the preset conditions, and the simulation results are output through the three-dimensional microplastic transport model; The prevention and control of the spread of microplastics according to the prediction results includes the following steps: Performing risk assessment according to the prediction results to obtain risk assessment results; the risk assessment indicators include microplastic distribution range, microplastic concentration peak, ecological impact index and biological health risk; Formulate risk prevention and control measures for microplastics based on the risk assessment results; Wherein, the risk assessment is performed according to the prediction results to obtain the risk assessment results, including the following steps: using the analytic hierarchy process to assign weights to the microplastic distribution range, microplastic concentration peak, ecological impact index and biological health risk indicators; The risk assessment results are obtained based on the comprehensive values ​​of the microplastic distribution range, microplastic concentration peak, ecological impact index and biological health risk indicators as well as weight calculations.

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