Visualisation system based on three-dimensional tidal current transport model and pollutant transport model

Abstract

The application discloses a visualization system based on a three-dimensional tidal current transport model and a pollutant transport model, and relates to the technical field of marine environment numerical simulation and visualization. The application establishes a high-resolution three-dimensional tidal current and pollutant transport model, integrates strait inflow, runoff and offshore exchange data, embeds a pollutant tracing algorithm, and quantifies the contribution rate of multi-source input to a target sea area; an interactive platform is developed by using a B / S architecture, remote parameter setting of a user is supported, model calculation is automatically called, a tidal current field, pollutant diffusion and oil spill trajectory are dynamically rendered through image superposition technology; the environmental capacity of a gulf is evaluated in combination with water exchange rate, an oil spill early warning subsystem is designed to realize rapid simulation and damage visualization of an accident; a data updating mechanism and an API interface are integrated to guarantee the timeliness of the model and expand real-time data assimilation functions; the application breaks through the limitation of local modeling; the efficiency of marine environment management is improved; and the marine pollution emergency response capability is improved.

Description

Technical Field

[0001] This invention belongs to the field of marine environmental numerical simulation and visualization technology, and specifically relates to a visualization system based on a three-dimensional tidal transport model and a pollutant transport model. Background Technology

[0002] In marine environmental research, the dynamic environment of semi-enclosed bays is complex, influenced by multiple factors such as strait inflow, river runoff, and seawater exchange. Traditional studies often neglect the overall dynamic correlation due to local modeling, resulting in insufficient explanation of pollutant transport mechanisms and ecological and environmental issues. Existing numerical models are complex to operate, requiring professionals to manually adjust parameters and process data using programming tools, which leads to problems such as low efficiency, poor versatility, and weak visualization interaction. In addition, conventional models are difficult to dynamically couple multiple driving factors (such as river runoff, strait inflow, and pollutant discharge), and lack the ability to quantitatively analyze pollution sources and environmental capacity in complex marine areas, thus limiting their application in marine environmental management. Summary of the Invention

[0003] (a) Technical problems to be solved

[0004] To address the problems in related technologies, this invention provides a visualization system based on a three-dimensional tidal current transport model and a pollutant transport model. By integrating the three-dimensional tidal current and pollutant transport models with the visualization interaction system, it solves the problems of local modeling ignoring the overall dynamic correlation, low efficiency, poor versatility, weak visualization interaction, and lack of quantitative analysis capabilities for tracing pollution sources and environmental capacity in complex marine areas.

[0005] (II) Technical Solution

[0006] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution:

[0007] A visualization system based on a three-dimensional tidal current transport model and a pollutant transport model is characterized by comprising the following modules:

[0008] The 3D model building module is used to build 3D tidal current and pollutant transport models and set parameters.

[0009] The model validation and optimization module is used to validate and optimize three-dimensional tidal current and pollutant transport models, and to develop source tracing analysis algorithms.

[0010] The visualization system development module is used to develop a visualization interaction platform based on a B / S architecture, enabling remote model operation, automatic result rendering, and anomaly recovery.

[0011] The environmental capacity and oil spill early warning module is used to expand the application of three-dimensional tidal current and pollutant transport models, and realize the calculation of the environmental capacity of the bay and the emergency simulation of oil spill accidents.

[0012] The system application and case verification module is used to conduct case analysis on the application system to verify the system's effectiveness and practicality;

[0013] The system maintenance and upgrade module is used to ensure the long-term stable operation of the system and to support data updates and function expansion.

[0014] Preferably, the three-dimensional model construction module is used to construct a three-dimensional tidal current and pollutant transport model of the Beibu Gulf, and the parameter setting includes the following steps:

[0015] S11. Based on the ECOMSED numerical simulation platform, a three-dimensional tidal current and pollutant transport model was constructed. The horizontal resolution was set to a, the vertical direction was divided into b layers, the maximum water depth was c, and the model mesh adopted an unstructured mesh to adapt to complex shorelines.

[0016] Import nautical chart data as water depth data for the 3D tidal current and pollutant transport model to ensure topographic accuracy;

[0017] S12, Boundary conditions and driving data configuration;

[0018] S13. Embed dynamic equilibrium equations into the three-dimensional tidal current and pollutant transport model to quantify the contribution weights of strait inflow, bay runoff, and open seawater exchange to pollutant transport. The formulas are as follows:

[0019]

[0020] Where C represents the pollutant concentration, Let represent the rate of change of pollutant concentration over time, α represent the gradient operator, u represent the three-dimensional velocity field, uC represent the flux of pollutant migration with water flow, K represent the diffusion coefficient, αC represent the gradient of pollutant concentration, KαC represent the pollutant diffusion flux, and S1 and S2 represent the source and sink terms of pollutants, respectively.

[0021] Preferably, step S12 includes the following steps:

[0022] S121. Set the strait entrance, bay entrance and river runoff as open boundaries, and use the tidal harmonic constant as the tidal forcing condition;

[0023] S122. Input the interval wind field data of ECMWF as surface forcing; river runoff data uses the monthly average flow and pollutant concentration of the river along the river, including COD and nutrients.

[0024] S123. Use large-scale observational data of the bay as the initial field for the model; the observational data includes salinity, temperature, and pollutant concentration;

[0025] Preferably, the model verification and optimization module is used to verify and optimize the three-dimensional tidal current and pollutant transport model, and the development of source tracing analysis algorithms includes the following steps:

[0026] S21. Using offshore buoy current velocity and direction observation data, as well as tidal harmonic constants from coastal tide gauge stations, the accuracy of the three-dimensional tidal current and pollutant transport model in the Beibu Gulf is assessed through root mean square error, and the bottom friction coefficient and eddy viscosity parameters are adjusted; the tidal harmonic constant includes amplitude and phase.

[0027] S22. Set the deviation threshold as e, collect on-site measured pollutant concentration data in the bay as a verification benchmark, optimize the diffusion coefficient and degradation rate parameters, and make the deviation between the simulated pollutant results and the measured data less than the deviation threshold e; pollutants include COD and oil.

[0028] S23. Use a three-dimensional tidal current and pollutant transport model to simulate the transport process of pollutants in the ocean and obtain spatiotemporal distribution data of pollutant concentration over time; design a pollutant source tracing algorithm based on the spatiotemporal distribution data, and calculate the contribution ratio of different source areas to the pollution of the target sea area by tracing the transport path of pollutants in reverse; different source areas include straits and runoff within the bay.

[0029] Preferably, the visualization system development module is used to develop a visualization interaction platform based on a B / S architecture, realizing remote model operation, automatic result rendering, and anomaly recovery, including the following steps:

[0030] S31. It adopts a B / S architecture. The front-end uses the Vue.js framework to develop the interactive interface, the back-end is based on the Django framework to build the web service, and the database uses MySQL to store model parameters, calculation results and user configuration information.

[0031] S32. Implementation of the visualization system functions;

[0032] S33, Implementation of data visualization and rendering;

[0033] Preferably, step S32 includes the following steps:

[0034] S321. Provides a web login interface, supporting users to upload model input files, set simulation time steps, and output frequencies; input files include wind field, runoff, and pollutant concentrations.

[0035] S322. Automatically convert user-input parameters into a Fortran configuration file recognizable by the ECOMSED model, and call Linux server cluster resources for compilation and execution;

[0036] S323. The system saves the computing status in real time through process snapshot technology. If the user loses internet access or closes the browser, the system will automatically save the current task and the user can continue to view the progress after logging in again.

[0037] Preferably, step S33 includes the following steps:

[0038] S331. Pre-store the bay topography, coastline, and administrative division map as a high-resolution PNG file to reduce dynamic rendering load;

[0039] S332. The calculation results of the three-dimensional tidal current and pollutant transport model are overlaid on the base map as a transparent layer, and the spatial distribution is dynamically displayed through color levels and arrows; the calculation results include tidal current vectors and COD concentrations;

[0040] S333 supports automatic slideshow of calculation result images. Users can pause and switch views by clicking the mouse, and it provides a data comparison function. The comparison function includes overlay display of simulation results and buoy observations.

[0041] Preferably, the environmental capacity and oil spill early warning module, used to extend the application of three-dimensional tidal current and pollutant transport models, to realize the calculation of the bay's environmental capacity and the emergency simulation of oil spill accidents, includes the following steps:

[0042] S41. Calculate the environmental capacity of the bay area based on the water exchange rate. The formula for calculating the water exchange rate is as follows.

[0043]

[0044] Where Q represents the bay capacity, V represents the bay volume, H represents the water quality standard limit, and τ represents the water retention time;

[0045] S42. After inputting the oil spill location, oil type and leakage amount into the three-dimensional tidal flow and pollutant transport model, the Lagrange particle tracking model is called to simulate the oil film diffusion trajectory. Combined with wind field and tidal flow data, the future oil film range is predicted to obtain the dynamic oil film diffusion layer.

[0046] Image overlay technology is used to fuse the dynamic oil film diffusion layer with a pre-stored satellite base map to generate an emergency response plan map;

[0047] Preferably, the system application and case verification module, used to apply the system to conduct case analysis and verify the system's effectiveness and practicality, includes the following steps:

[0048] S51. Simulate a real scenario of enhanced strait inflow, quantitatively calculate its contribution to the transport of pollutants in the bay, and obtain the triggering mechanism of distant-source input on red tide.

[0049] S52. Simulate a real oil spill accident, input the leakage parameters into the three-dimensional tidal flow and pollutant transport model to obtain the oil film diffusion trajectory; collect real-time wind field data, and generate an emergency evacuation and oil boom deployment plan based on the real-time wind field data and the oil film diffusion trajectory.

[0050] S53. The environmental capacity of the bay is calculated using the water exchange rate calculation formula, and the annual total emission control target of pollutants in the bay is proposed based on the environmental capacity of the bay.

[0051] Preferably, the system maintenance and upgrade module, used to ensure the long-term stable operation of the system and support data updates and function expansion, includes the following steps:

[0052] S61. Regularly import the latest nautical charts, wind field and river monitoring data, update the model input parameter library, and ensure simulation accuracy;

[0053] S62. Develop API interfaces to support real-time connection with marine monitoring buoys and satellite remote sensing data, enabling dynamic data assimilation and automatic model calibration.

[0054] (III) Beneficial Effects

[0055] The present invention has the following beneficial effects:

[0056] This invention overcomes the limitations of traditional local modeling by constructing a three-dimensional model with multi-factor dynamic equilibrium, enabling cross-regional quantitative analysis of pollutant transport pathways in semi-enclosed bays, accurately tracing the contribution rate of different input sources to the target sea area, and significantly improving the ability to explain the causes of ecological problems such as red tides.

[0057] This invention, based on a B / S architecture visualization system, encapsulates complex numerical models into a "one-click" operation process. Users can remotely submit tasks and view dynamic rendering results through a browser without programming, reducing the technical threshold and improving the accessibility and decision-making efficiency of marine environment simulation.

[0058] This invention combines water exchange rate calculation to determine the environmental capacity of pollutants in key bays, providing a quantitative basis for total pollutant control; the oil spill early warning subsystem uses oil slick trajectory prediction and base map overlay technology to achieve rapid simulation and damage assessment of sudden accidents, assisting in the formulation of emergency plans and reducing ecological losses.

[0059] This invention designs an anomaly recovery mechanism to ensure the reliability of long-term computing tasks and supports resuming computing after network outages; it connects to real-time monitoring data through an API interface to achieve dynamic model assimilation and automatic calibration, ensuring the long-term applicability of the system.

[0060] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0061] To more clearly illustrate the technical solutions of the embodiments of the invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the invention. For those skilled in the art, the drawings can be obtained from these drawings without creative effort.

[0062] Figure 1 This is a schematic diagram of the modules of the visualization system based on the three-dimensional tidal transport model and pollutant transport model of the present invention. Detailed Implementation

[0063] The technical solutions of the embodiments of the invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the invention, and not all embodiments. Based on the embodiments of the invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the invention.

[0064] In the description of this invention, it should be understood that the terms "opening", "upper", "lower", "top", "middle", "inner", etc., which indicate orientation or positional relationship, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on the invention.

[0065] Example 1:

[0066] Please see Figure 1 This invention discloses a visualization system based on a three-dimensional tidal transport model and a pollutant transport model, characterized by comprising the following modules:

[0067] The 3D model building module is used to build 3D tidal current and pollutant transport models and set parameters.

[0068] The model validation and optimization module is used to validate and optimize three-dimensional tidal current and pollutant transport models, and to develop source tracing analysis algorithms.

[0069] The visualization system development module is used to develop a visualization interaction platform based on a B / S architecture, enabling remote model operation, automatic result rendering, and anomaly recovery.

[0070] The environmental capacity and oil spill early warning module is used to expand the application of three-dimensional tidal current and pollutant transport models, and realize the calculation of the environmental capacity of the bay and the emergency simulation of oil spill accidents.

[0071] The system application and case verification module is used to conduct case analysis on the application system to verify the system's effectiveness and practicality;

[0072] The system maintenance and upgrade module is used to ensure the long-term stable operation of the system and to support data updates and function expansion.

[0073] The three-dimensional model building module is used to construct a three-dimensional tidal current and pollutant transport model of the Beibu Gulf, and the parameter settings include the following steps:

[0074] S11. Based on the ECOMSED numerical simulation platform, a three-dimensional tidal current and pollutant transport model was constructed. The horizontal resolution was set to a, the vertical direction was divided into b layers, the maximum water depth was c, and the model mesh adopted an unstructured mesh to adapt to complex shorelines.

[0075] Import nautical chart data as water depth data for the 3D tidal current and pollutant transport model to ensure topographic accuracy;

[0076] S12, Boundary conditions and driving data configuration;

[0077] S12 includes the following steps:

[0078] S121. Set the strait entrance, bay entrance and river runoff as open boundaries, and use the tidal harmonic constant as the tidal forcing condition;

[0079] S122. Input the interval wind field data of ECMWF as surface forcing; river runoff data uses the monthly average flow and pollutant concentration of the river along the river, including COD and nutrients.

[0080] S123. Use large-scale observational data of the bay as the initial field for the model; the observational data includes salinity, temperature, and pollutant concentration;

[0081] S13. Embed dynamic equilibrium equations into the three-dimensional tidal current and pollutant transport model to quantify the contribution weights of strait inflow, bay runoff, and open seawater exchange to pollutant transport. The formulas are as follows:

[0082]

[0083] Where C represents the pollutant concentration, Let represent the rate of change of pollutant concentration over time, α represent the gradient operator, u represent the three-dimensional velocity field, uC represent the flux of pollutant migration with water flow, K represent the diffusion coefficient, αC represent the gradient of pollutant concentration, KαC represent the pollutant diffusion flux, and S1 and S2 represent the source and sink terms of pollutants, respectively.

[0084] The model validation and optimization module is used to validate and optimize the three-dimensional tidal current and pollutant transport models. The development of source tracing analysis algorithms includes the following steps:

[0085] S21. Using offshore buoy current velocity and direction observation data, as well as tidal harmonic constants from coastal tide gauge stations, the accuracy of the three-dimensional tidal current and pollutant transport model in the Beibu Gulf is assessed through root mean square error, and the bottom friction coefficient and eddy viscosity parameters are adjusted; the tidal harmonic constant includes amplitude and phase.

[0086] S22. Set the deviation threshold as e, collect on-site measured pollutant concentration data in the bay as a verification benchmark, optimize the diffusion coefficient and degradation rate parameters, and make the deviation between the simulated pollutant results and the measured data less than the deviation threshold e; pollutants include COD and oil.

[0087] S23. Use a three-dimensional tidal current and pollutant transport model to simulate the transport process of pollutants in the ocean and obtain spatiotemporal distribution data of pollutant concentration over time; design a pollutant source tracing algorithm based on the spatiotemporal distribution data, and calculate the contribution ratio of different source areas to the pollution of the target sea area by tracing the transport path of pollutants in reverse; different source areas include straits and runoff within the bay.

[0088] The visualization system development module is used to develop a visualization interaction platform based on a B / S architecture, enabling remote model operation, automatic result rendering, and anomaly recovery, including the following steps:

[0089] S31. It adopts a B / S architecture. The front-end uses the Vue.js framework to develop the interactive interface, the back-end is based on the Django framework to build the web service, and the database uses MySQL to store model parameters, calculation results and user configuration information.

[0090] S32. Implementation of the visualization system functions;

[0091] S32 includes the following steps:

[0092] S321. Provides a web login interface, supporting users to upload model input files, set simulation time steps, and output frequencies; input files include wind field, runoff, and pollutant concentrations.

[0093] S322. Automatically convert user-input parameters into a Fortran configuration file recognizable by the ECOMSED model, and call Linux server cluster resources for compilation and execution;

[0094] S323. The system saves the computing status in real time through process snapshot technology. If the user loses internet access or closes the browser, the system will automatically save the current task and the user can continue to view the progress after logging in again.

[0095] S33, Implementation of data visualization and rendering;

[0096] S33 includes the following steps:

[0097] S331. Pre-store the bay topography, coastline, and administrative division map as a high-resolution PNG file to reduce dynamic rendering load;

[0098] S332. The calculation results of the three-dimensional tidal current and pollutant transport model are overlaid on the base map as a transparent layer, and the spatial distribution is dynamically displayed through color levels and arrows; the calculation results include tidal current vectors and COD concentrations;

[0099] S333 supports automatic slideshow of calculation result images. Users can pause and switch views by clicking the mouse, and it provides a data comparison function. The comparison function includes overlay display of simulation results and buoy observations.

[0100] The environmental capacity and oil spill early warning module is used to extend the application of three-dimensional tidal current and pollutant transport models, and to realize the calculation of the bay's environmental capacity and the emergency simulation of oil spill accidents, including the following steps:

[0101] S41. Calculate the environmental capacity of the bay area based on the water exchange rate. The formula for calculating the water exchange rate is as follows.

[0102]

[0103] Where Q represents the bay capacity, V represents the bay volume, H represents the water quality standard limit, and τ represents the water retention time;

[0104] S42. After inputting the oil spill location, oil type and leakage amount into the three-dimensional tidal flow and pollutant transport model, the Lagrange particle tracking model is called to simulate the oil film diffusion trajectory. Combined with wind field and tidal flow data, the future oil film range is predicted to obtain the dynamic oil film diffusion layer.

[0105] Image overlay technology is used to fuse the dynamic oil film diffusion layer with a pre-stored satellite base map to generate an emergency response plan map;

[0106] The system application and case verification module is used to conduct case analysis using the system, and to verify the system's effectiveness and practicality, including the following steps:

[0107] S51. Simulate a real scenario of enhanced strait inflow, quantitatively calculate its contribution to the transport of pollutants in the bay, and obtain the triggering mechanism of distant-source input on red tide.

[0108] S52. Simulate a real oil spill accident, input the leakage parameters into the three-dimensional tidal flow and pollutant transport model to obtain the oil film diffusion trajectory; collect real-time wind field data, and generate an emergency evacuation and oil boom deployment plan based on the real-time wind field data and the oil film diffusion trajectory.

[0109] S53. The environmental capacity of the bay is calculated using the water exchange rate calculation formula, and the annual total emission control target of pollutants in the bay is proposed based on the environmental capacity of the bay.

[0110] The system maintenance and upgrade module is used to ensure the long-term stable operation of the system and supports data updates and function expansion, including the following steps:

[0111] S61. Regularly import the latest nautical charts, wind field and river monitoring data, update the model input parameter library, and ensure simulation accuracy;

[0112] S62. Develop API interfaces to support real-time connection with marine monitoring buoys and satellite remote sensing data, enabling dynamic data assimilation and automatic model calibration.

[0113] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0114] The preferred embodiments of the invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention.

Claims

1. A visualization system based on a three-dimensional tidal transport model and a pollutant transport model, characterized in that, Includes the following modules: The 3D model building module is used to build 3D tidal current and pollutant transport models and set parameters. The model validation and optimization module is used to validate and optimize three-dimensional tidal current and pollutant transport models, and to develop source tracing analysis algorithms. The visualization system development module is used to develop a visualization interaction platform based on a B / S architecture, enabling remote model operation, automatic result rendering, and anomaly recovery. The environmental capacity and oil spill early warning module is used to expand the application of three-dimensional tidal current and pollutant transport models, and realize the calculation of the environmental capacity of the bay and the emergency simulation of oil spill accidents. The system application and case verification module is used to conduct case analysis on the application system to verify the system's effectiveness and practicality; The system maintenance and upgrade module is used to ensure the long-term stable operation of the system and supports data updates and function expansion. The three-dimensional model construction module is used to construct a three-dimensional tidal current and pollutant transport model, and to set parameters, including the following steps: S11. Based on the ECOMSED numerical simulation platform, a three-dimensional tidal current and pollutant transport model was constructed. The horizontal resolution was set to a, the vertical direction was divided into b layers, the maximum water depth was c, and the model mesh adopted an unstructured mesh. Import nautical chart data as water depth data for three-dimensional tidal current and pollutant transport models; S12, Boundary conditions and driving data configuration; S13. Embed dynamic equilibrium equations into the three-dimensional tidal current and pollutant transport model to quantify the contribution weights of strait inflow, bay runoff, and open seawater exchange to pollutant transport. The formulas are as follows: ； Where C represents the pollutant concentration, Let represent the rate of change of pollutant concentration over time, α represent the gradient operator, u represent the three-dimensional velocity field, uC represent the flux of pollutant migration with water flow, K represent the diffusion coefficient, αC represent the gradient of pollutant concentration, KαC represent the pollutant diffusion flux, and S1 and S2 represent the source and sink terms of pollutants, respectively. The model validation and optimization module is used to validate and optimize the three-dimensional tidal current and pollutant transport models. The development of source tracing analysis algorithms includes the following steps: S21. Using the current velocity and direction observation data of offshore buoys, as well as the tidal harmonic constant of coastal tide gauge stations, the accuracy of the three-dimensional tidal current and pollutant transport model in Beibu Gulf is evaluated by the root mean square error, and the bottom friction coefficient and eddy viscosity parameters are adjusted. S22. Set the deviation threshold to e, collect on-site pollutant concentration data in the bay as a verification benchmark, optimize the diffusion coefficient and degradation rate parameters, and make the deviation between the simulated pollutant results and the measured data less than the deviation threshold e. S23. Use a three-dimensional tidal current and pollutant transport model to simulate the transport process of pollutants in the ocean and obtain spatiotemporal distribution data of pollutant concentration over time; design a pollutant source tracing algorithm based on the spatiotemporal distribution data, and calculate the contribution ratio of different source areas to the pollution of the target sea area by tracing the transport path of pollutants in reverse.

2. The visualization system based on a three-dimensional tidal current transport model and a pollutant transport model according to claim 1, characterized in that, S12 includes the following steps: S121. Set the strait entrance, bay entrance and river runoff as open boundaries, and use the tidal harmonic constant as the tidal forcing condition; S122. Input the interval wind field data of ECMWF as surface forcing; river runoff data uses the monthly average flow and pollutant concentration of the river along the river. S123. Use the large-area observation data of the bay as the initial field of the model.

3. The visualization system based on a three-dimensional tidal current transport model and a pollutant transport model according to claim 1, characterized in that, The visualization system development module is used to develop a visualization interaction platform based on a B / S architecture, enabling remote model operation, automatic result rendering, and anomaly recovery, including the following steps: S31. It adopts a B / S architecture. The front-end uses the Vue.js framework to develop the interactive interface, the back-end is based on the Django framework to build the web service, and the database uses MySQL to store model parameters, calculation results and user configuration information. S32. Implementation of the visualization system functions; S33. Implementation of data visualization and rendering.

4. The visualization system based on a three-dimensional tidal current transport model and a pollutant transport model according to claim 3, characterized in that, S32 includes the following steps: S321. Provides a web login interface, supporting users to upload model input files, set simulation time steps, and output frequencies; S322. Automatically convert user-input parameters into a Fortran configuration file recognizable by the ECOMSED model, and call Linux server cluster resources for compilation and execution; S323. The system saves the computing status in real time through process snapshot technology. If the user loses internet access or closes the browser, the system will automatically save the current task and the user can continue to view the progress after logging in again.

5. The visualization system based on a three-dimensional tidal current transport model and a pollutant transport model according to claim 3, characterized in that, S33 includes the following steps: S331. Pre-store the bay topography, coastline, and administrative division map as a high-resolution PNG file to reduce dynamic rendering load; S332. The calculation results of the three-dimensional tidal current and pollutant transport model are overlaid on the base map as a transparent layer, and the spatial distribution is dynamically displayed through color levels and arrows; S333 supports automatic slideshow of calculation result images, and users can pause and switch views by clicking with the mouse, and provides data comparison function.

6. The visualization system based on a three-dimensional tidal current transport model and a pollutant transport model according to claim 1, characterized in that, The environmental capacity and oil spill early warning module is used to extend the application of three-dimensional tidal current and pollutant transport models, and to realize the calculation of the bay's environmental capacity and the emergency simulation of oil spill accidents, including the following steps: S41. Calculate the environmental capacity of the bay area based on the water exchange rate. The formula for calculating the environmental capacity is as follows: ； in, V represents the bay capacity, H represents the water quality standard limit, and τ represents the water retention time. S42. After inputting the oil spill location, oil type and leakage amount into the three-dimensional tidal flow and pollutant transport model, the Lagrange particle tracking model is called to simulate the oil film diffusion trajectory. Combined with wind field and tidal flow data, the future oil film range is predicted to obtain the dynamic oil film diffusion layer. Image overlay technology is used to fuse the dynamic layer of oil film diffusion with a pre-stored satellite base map to generate an emergency response plan map.

7. The visualization system based on a three-dimensional tidal current transport model and a pollutant transport model according to claim 1, characterized in that, The system application and case verification module is used to conduct case analysis using the system, and to verify the system's effectiveness and practicality, including the following steps: S51. Simulate a real scenario of enhanced strait inflow, quantitatively calculate its contribution to the transport of pollutants in the bay, and obtain the triggering mechanism of distant-source input on red tide. S52. Simulate a real oil spill accident, input the leakage parameters into the three-dimensional tidal flow and pollutant transport model to obtain the oil film diffusion trajectory; collect real-time wind field data, and generate an emergency evacuation and oil boom deployment plan based on the real-time wind field data and the oil film diffusion trajectory. S53. The environmental capacity of the bay is calculated using the water exchange rate calculation formula, and the annual total emission control target for pollutants in the bay is proposed based on the environmental capacity of the bay.

8. The visualization system based on a three-dimensional tidal current transport model and a pollutant transport model according to claim 1, characterized in that, The system maintenance and upgrade module is used to ensure the long-term stable operation of the system and supports data updates and function expansion, including the following steps: S61. Regularly import the latest nautical charts, wind field and river monitoring data, and update the model input parameter library; S62. Develop API interfaces to support real-time connection with marine monitoring buoys and satellite remote sensing data, enabling dynamic data assimilation and automatic model calibration.

Images