A method and system for predicting the trajectory of a catastrophic marine organism movement in a nuclear power plant

Abstract

The application discloses a nuclear power plant disaster-causing marine organism motion track prediction method and system, and relates to the field of nuclear power plant safety management. The method comprises the following steps: constructing a hydrodynamic model of the nuclear power plant to simulate the spatio-temporal variation of the hydrodynamics of a water intake area of the nuclear power plant; on the basis of discovering a disaster-causing marine organism, constructing a marine organism drift track prediction model according to the spatio-temporal variation of the hydrodynamics of the water intake area of the nuclear power plant to simulate and track the motion track of the disaster-causing marine organism, providing targeted monitoring and prevention and control countermeasures for the cold source management of the nuclear power plant, and improving the safety prevention and control precision, emergency disposal efficiency and safety reliability of the cold source of the nuclear power plant.

Description

Technical Field

[0001] This invention relates to the field of nuclear power plant cold source safety technology, and in particular to a method and system for predicting the movement trajectory of marine organisms that could cause disasters in nuclear power plants. Background Technology

[0002] The safety of cold sources in nuclear power plants is receiving increasing attention from various countries and has become a hot topic in the international nuclear power industry in recent years. Many major nuclear power nations have conducted research on corresponding countermeasures, including strengthening water quality monitoring, constructing interception nets, and enhancing the backwashing capabilities of drum nets. These measures have mitigated the occurrence of disasters to some extent. However, these measures are all based on passive defense. How to scientifically monitor the movement trajectories of harmful marine organisms in the waters surrounding the intake remains a key focus and challenge for safe production in nuclear power and other industries. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to address at least one deficiency in the related technologies mentioned in the background: existing methods for ensuring the safety of the cold source of nuclear power plants generally rely on passive defense measures to prevent the spread of marine organisms that cause harm. The present invention provides a method and system for predicting the movement trajectory of marine organisms that cause harm in nuclear power plants.

[0004] The technical solution adopted by this invention to solve its technical problem is: to construct a method for predicting the movement trajectory of marine organisms that cause disasters in nuclear power plants, including the following steps:

[0005] S1: Construct a hydrodynamic model of the nuclear power plant to simulate the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant;

[0006] S2: Based on the discovery of the marine organisms causing the disaster, a marine organism drift trajectory prediction model is constructed according to the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant, and the movement trajectory of the marine organisms causing the disaster is simulated and tracked.

[0007] Preferably, in the method for predicting the movement trajectory of marine organisms that cause nuclear power plant disasters according to the present invention, the hydrodynamic model includes the ROMS hydrodynamic model and the SCHISM hydrodynamic model.

[0008] Step S1 includes:

[0009] The ROMS hydrodynamic model is constructed to simulate the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located, and provides the open boundary data of the water intake area of ​​the nuclear power plant and the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located for the construction of the SCHISM hydrodynamic model.

[0010] The SCHISM hydrodynamic model was constructed to simulate the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant.

[0011] Preferably, in the method for predicting the movement trajectory of marine organisms that cause nuclear power plant disasters according to the present invention, the spatiotemporal changes of hydrodynamics include: three-dimensional temperature-salinity current and spatiotemporal changes of sea surface height field.

[0012] Preferably, in the method for predicting the movement trajectory of marine organisms causing nuclear power plant disasters according to the present invention, the construction of the ROMS hydrodynamic model includes:

[0013] The computational domain, grid size, and number of underwater vertical layers of the ROMS hydrodynamic model are designed based on the hydrodynamic environment of the sea area where the nuclear power plant is located.

[0014] The computational region and the mesh size are parameterized and input into the upper interface data input interface of the ROMS hydrodynamic model;

[0015] The number of underwater vertical layers is parameterized and input into the open boundary data input interface of the ROMS hydrodynamic model;

[0016] The ROMS hydrodynamic model has been constructed.

[0017] Preferably, in the method for predicting the movement trajectory of marine organisms causing nuclear power plant disasters according to the present invention, the construction of the SCHISM hydrodynamic model includes:

[0018] A topographic dataset of the nuclear power plant's water intake area was created based on the water depth and topographic features of the water intake area.

[0019] Based on the received open boundary data of the nuclear power plant's water intake area, obtain the corresponding terrain features in the terrain dataset;

[0020] Based on the topographic features and the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located, an unstructured triangular mesh three-dimensional hydrodynamic model was established based on the SCHISM hydrodynamic model, thus completing the construction of the SCHISM hydrodynamic model.

[0021] Preferably, in the method for predicting the movement trajectory of marine organisms that cause nuclear power plant disasters according to the present invention, the marine organism drift trajectory prediction model includes a particle tracking model;

[0022] Step S2 includes:

[0023] Based on the discovery of the marine organisms causing the disaster, the particle tracking model was constructed by combining the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant, and the Lagrange particle tracking method was used to simulate and track the movement trajectory of the marine organisms causing the disaster.

[0024] Preferably, in the method for predicting the trajectory of marine organisms causing nuclear power plant disasters according to the present invention, the construction of the particle tracking model includes:

[0025] The conversion relationship and calculation method between Eulerian flow field and Lagrange motion are established. The time step is designed. Based on the three-dimensional Eulerian flow field simulated by the SCHISM hydrodynamic model, the two-dimensional and three-dimensional Lagrange motion trajectories of particles are calculated to realize the simulated tracking of particles and complete the particle tracking model.

[0026] Preferably, in the method for predicting the movement trajectory of marine organisms causing nuclear power plant disasters according to the present invention, step S2 further includes:

[0027] In different seasons, at least one set of tracking particles and corresponding drifting buoys are released in designated sea areas and times, and the particle tracking model is used to simulate the movement trajectory of the particles over a period of time.

[0028] The simulation of the particle tracking model is verified by comparing the particle trajectory with the trajectory of the corresponding drifting buoy.

[0029] Preferably, in the method for predicting the movement trajectory of marine organisms causing nuclear power plant disasters according to the present invention, step S2 includes:

[0030] Based on the discovery of the marine organisms causing the disaster, the particle tracking model was constructed by combining the spatiotemporal changes of hydrodynamics and biological influence conditions in the water intake area of ​​the nuclear power plant. The Lagrange particle tracking method was used to simulate and track the movement trajectory of the marine organisms causing the disaster.

[0031] This invention also constructs a system for predicting the movement trajectory of marine organisms that cause harm in nuclear power plants, comprising:

[0032] The first construction module is used to build a hydrodynamic model of the nuclear power plant to simulate the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant.

[0033] The second construction module is used to construct a marine organism drift trajectory prediction model based on the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant, after the discovery of the marine organisms causing the disaster, and to simulate and track the movement trajectory of the marine organisms causing the disaster.

[0034] By implementing this invention, the following beneficial effects are achieved:

[0035] This invention constructs a hydrodynamic model of a nuclear power plant to simulate the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant. Based on the discovery of harmful marine organisms, it constructs a marine organism drift trajectory prediction model according to the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant, and simulates and tracks the movement trajectory of harmful marine organisms. This provides targeted monitoring and prevention strategies for the management of cold sources in nuclear power plants, and improves the accuracy of nuclear power cold source safety control, emergency response efficiency, and cold source safety reliability. Attached Figure Description

[0036] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings:

[0037] Figure 1 This is a flowchart of the method for predicting the movement trajectory of marine organisms that cause disasters in nuclear power plants according to the present invention;

[0038] Figure 2 yes Figure 1 Flowchart of step S1;

[0039] Figure 3 This is a block diagram of the nuclear power plant disaster-causing marine organism movement trajectory prediction system of the present invention. Detailed Implementation

[0040] To provide a clearer understanding of the technical features, objectives, and effects of the present invention, specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0041] It should be noted that the flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0042] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0043] like Figure 1 As shown, one embodiment of the present invention discloses a method for predicting the movement trajectory of marine organisms that cause disasters in nuclear power plants, comprising the following steps:

[0044] S1: Construct a hydrodynamic model of the nuclear power plant to simulate the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant;

[0045] S2: Based on the discovery of the marine organisms causing the disaster, a marine organism drift trajectory prediction model was constructed according to the spatiotemporal changes in hydrodynamics in the nuclear power plant's water intake area to simulate and track the movement trajectories of the marine organisms causing the disaster. These marine organisms include fish, algae, jellyfish, pen-shaped snails, and krill, among others.

[0046] In this embodiment, the hydrodynamic models include the ROMS (Regional Ocean Modeling System) hydrodynamic model and the SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) hydrodynamic model, such as... Figure 2 As shown, step S1 includes:

[0047] S11: Construct the ROMS hydrodynamic model to simulate the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located, and provide open boundary data of the water intake area of ​​the nuclear power plant and the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located for the construction of the SCHISM hydrodynamic model.

[0048] S12: Construct a SCHISM hydrodynamic model to simulate the spatiotemporal variations of hydrodynamics in the intake area of ​​a nuclear power plant. These spatiotemporal variations include: three-dimensional temperature-salinity current and sea surface height field variations.

[0049] It should be noted that ROMS is a large-scale model with a resolution of over 1 km, covering the entire sea area where the nuclear power plant is located. SCHISM, on the other hand, is a smaller but more accurate model, covering an area of ​​approximately 10 km around the nuclear power plant, with a resolution ranging from 20 m to 100 m, increasing closer to shore. The SCHISM model requires ROMS data for computation.

[0050] Furthermore, the construction of the ROMS hydrodynamic model includes:

[0051] The calculation area, grid size, and number of underwater vertical layers of the ROMS hydrodynamic model are designed based on the hydrodynamic environment of the sea area where the nuclear power plant is located.

[0052] The computational domain and mesh size are parameterized and input into the upper interface data input interface of the ROMS hydrodynamic model;

[0053] The number of underwater vertical layers is parameterized and input into the open boundary data input interface of the ROMS hydrodynamic model;

[0054] The ROMS hydrodynamic model has been completed.

[0055] Furthermore, the construction of the SCHISM hydrodynamic model includes:

[0056] A topographic dataset of the nuclear power plant's water intake area was created based on the water depth and topographic features of the water intake area.

[0057] Based on the received open boundary data of the nuclear power plant's water intake area, obtain the corresponding terrain features in the terrain dataset;

[0058] Based on the topographic features and the spatiotemporal variations of hydrodynamics in the sea area where the nuclear power plant is located, an unstructured triangular mesh three-dimensional hydrodynamic model was established based on the SCHISM hydrodynamic model, thus completing the SCHISM hydrodynamic model. This model considers atmospheric forcing fields (surface heat flux, momentum flux, and water vapor flux), river input, nuclear power plant water intake, nuclear power plant wastewater, and open-boundary seawater exchange (water level, current, temperature, salinity, etc.). The model can output the spatiotemporal variations of three-dimensional temperature, salinity, current, and sea surface height fields in the sea area. Furthermore, the model employs parallel computation to ensure efficient and timely computation.

[0059] In addition, step S1 also includes:

[0060] Based on the actual spatiotemporal changes of hydrodynamics in the water intake area of ​​a nuclear power plant, the simulated spatiotemporal changes of hydrodynamics in the water intake area of ​​a nuclear power plant are examined.

[0061] Based on the test results, optimize the model parameters and boundary information to make the model simulation and forecast results as accurate as possible.

[0062] In this embodiment, the marine organism drift trajectory prediction model includes a particle tracking model, such as... Figure 2 As shown, step S2 includes:

[0063] Based on the discovery of the marine organisms causing the disaster, a particle tracking model was constructed by combining the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant. The Lagrange particle tracking method was used to simulate and track the movement trajectory of the marine organisms causing the disaster.

[0064] This particle tracking model can simulate the trajectory of neutral particles moving with seawater at any time point in the ocean, providing a hydrodynamic explanation for the movement and migration of marine life in the vicinity of nuclear power plants.

[0065] Furthermore, the construction of the particle tracking model includes:

[0066] The conversion relationship and calculation method between Eulerian flow field and Lagrange motion are established. The time step is designed. Based on the three-dimensional Eulerian flow field (hydrodynamic spatiotemporal variation) simulated by the SCHISM hydrodynamic model, the two-dimensional and three-dimensional Lagrange motion trajectories of particles are calculated to realize the simulation tracking of particles and complete the particle tracking model.

[0067] In addition, step S2 also includes:

[0068] In different seasons, at least one set of tracking particles and corresponding drifting buoys are released in designated sea areas and at different times. The particle tracking model simulates the particle trajectory over a period of time. Specifically, in different seasons, 9-26 tracking particles are released in designated sea areas and at different times. The particle tracking model simulates the particle trajectory over a period of time. The season, sea area, and time of particle release are determined based on in-situ drift tracking experiments. Each set of tracking particles (9-26 particles) corresponds to one drifting buoy deployed in the in-situ drift tracking experiment.

[0069] The simulation of the particle tracking model is examined by comparing the particle's trajectory with the trajectory of the corresponding drifting buoy.

[0070] In some embodiments, biological influence conditions are input into the marine organism drift trajectory prediction model to predict the movement trajectory of harmful marine organisms under the combined influence of hydrodynamics and biology. Therefore, step S2 includes:

[0071] Based on the discovery of the marine organisms causing the disaster, a particle tracking model was constructed by combining the spatiotemporal changes in hydrodynamics and biological influence conditions in the water intake area of ​​the nuclear power plant. The Lagrange particle tracking method was used to simulate and track the movement trajectory of the marine organisms causing the disaster.

[0072] like Figure 3 As shown, one embodiment of the present invention discloses a system for predicting the movement trajectory of marine organisms that cause disasters in nuclear power plants, comprising:

[0073] The first construction module is used to build a hydrodynamic model of the nuclear power plant to simulate the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant.

[0074] The second module is used to construct a marine organism drift trajectory prediction model based on the discovery of harmful marine organisms and the spatiotemporal changes in hydrodynamics in the nuclear power plant's water intake area, thereby simulating and tracking the movement trajectories of these organisms. The harmful marine organisms include fish, algae, jellyfish, helminth snails, and krill, among others.

[0075] In this embodiment, the hydrodynamic model includes the ROMS (Regional Ocean Modeling System) hydrodynamic model and the SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) hydrodynamic model. The first building module includes:

[0076] The first building unit is used to build the ROMS hydrodynamic model to simulate the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located, and to provide open boundary data of the water intake area of ​​the nuclear power plant and the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located for the construction of the SCHISM hydrodynamic model.

[0077] The second building block is used to construct the SCHISM hydrodynamic model to simulate the spatiotemporal variations of hydrodynamics in the intake area of ​​a nuclear power plant. These spatiotemporal variations include: three-dimensional temperature-salinity current and sea surface height field variations.

[0078] It should be noted that ROMS is a large-scale model with a resolution of over 1 km, covering the entire sea area where the nuclear power plant is located. SCHISM, on the other hand, is a smaller but more accurate model, covering an area of ​​approximately 10 km around the nuclear power plant, with a resolution ranging from 20 m to 100 m, increasing closer to shore. The SCHISM model requires ROMS data for computation.

[0079] Furthermore, the construction of the ROMS hydrodynamic model includes:

[0080] The calculation area, grid size, and number of underwater vertical layers of the ROMS hydrodynamic model are designed based on the hydrodynamic environment of the sea area where the nuclear power plant is located.

[0081] The computational domain and mesh size are parameterized and input into the upper interface data input interface of the ROMS hydrodynamic model;

[0082] The number of underwater vertical layers is parameterized and input into the open boundary data input interface of the ROMS hydrodynamic model;

[0083] The ROMS hydrodynamic model has been completed.

[0084] Furthermore, the construction of the SCHISM hydrodynamic model includes:

[0085] A topographic dataset of the nuclear power plant's water intake area was created based on the water depth and topographic features of the water intake area.

[0086] Based on the received open boundary data of the nuclear power plant's water intake area, obtain the corresponding terrain features in the terrain dataset;

[0087] Based on the topographic features and the spatiotemporal variations of hydrodynamics in the sea area where the nuclear power plant is located, an unstructured triangular mesh three-dimensional hydrodynamic model was established based on the SCHISM hydrodynamic model, thus completing the SCHISM hydrodynamic model. This model considers atmospheric forcing fields (surface heat flux, momentum flux, and water vapor flux), river input, nuclear power plant water intake, nuclear power plant wastewater, and open-boundary seawater exchange (water level, current, temperature, salinity, etc.). The model can output the spatiotemporal variations of three-dimensional temperature, salinity, current, and sea surface height fields in the sea area. Furthermore, the model employs parallel computation to ensure efficient and timely computation.

[0088] In addition, this system also includes:

[0089] The first verification module is used to verify the simulated hydrodynamic spatiotemporal changes in the water intake area of ​​a nuclear power plant based on the actual spatiotemporal changes in the water intake area. Based on the verification results, the model parameters and boundary information are optimized to make the model simulation and prediction results as accurate as possible.

[0090] In this embodiment, the marine organism drift trajectory prediction model includes a particle tracking model and a second construction module, which is further used to construct a particle tracking model based on the discovery of harmful marine organisms and the spatiotemporal changes of hydrodynamics in the nuclear power plant intake area, and to simulate and track the movement trajectory of harmful marine organisms using the Lagrange particle tracking method.

[0091] This particle tracking model can simulate the trajectory of neutral particles moving with seawater at any time point in the ocean, providing a hydrodynamic explanation for the movement and migration of marine life in the vicinity of nuclear power plants.

[0092] Furthermore, the construction of the particle tracking model includes:

[0093] The conversion relationship and calculation method between Eulerian flow field and Lagrange motion are established. The time step is designed. Based on the three-dimensional Eulerian flow field (hydrodynamic spatiotemporal variation) simulated by the SCHISM hydrodynamic model, the two-dimensional and three-dimensional Lagrange motion trajectories of particles are calculated to realize the simulation tracking of particles and complete the particle tracking model.

[0094] In addition, this system also includes:

[0095] The second verification module is used to release at least one set of tracking particles and corresponding drifting buoys in designated sea areas and times during different seasons. The particle tracking model simulates the movement trajectory of the particles over a period of time, and the simulation of the particle tracking model is verified by comparing the particle movement trajectory with the movement trajectory of the corresponding drifting buoy.

[0096] Specifically, in different seasons, 9-26 tracking particles are released in designated sea areas and at different times. The particle tracking model simulates the trajectory of the particles over a period of time. The season, sea area, and time of particle release are determined based on on-site drift tracking experiments. Each group of tracking particles (9-26 particles) corresponds to one drifting buoy deployed in the on-site drift tracking experiment.

[0097] In some embodiments, biological influence conditions are input into the marine organism drift trajectory prediction model to realize the prediction of the movement trajectory of the marine organisms causing disasters under the combined influence of hydrodynamics and biology. Therefore, the second construction module is further used to construct a particle tracking model based on the discovery of the marine organisms causing disasters, combined with the spatiotemporal changes of hydrodynamics and biological influence conditions in the water intake area of ​​the nuclear power plant, and to simulate and track the movement trajectory of the marine organisms causing disasters using the Lagrange particle tracking method.

[0098] By implementing this invention, the following beneficial effects are achieved:

[0099] This invention constructs a hydrodynamic model of a nuclear power plant to simulate the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant. Based on the discovery of harmful marine organisms, it constructs a marine organism drift trajectory prediction model according to the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant, and simulates and tracks the movement trajectory of harmful marine organisms. This provides targeted monitoring and prevention strategies for the management of cold sources in nuclear power plants, and improves the accuracy of nuclear power cold source safety control, emergency response efficiency, and cold source safety reliability.

[0100] It is understood that the above embodiments only illustrate some implementation methods of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that for those skilled in the art, without departing from the concept of the present invention, the above embodiments or technical features can be freely combined, and several modifications and improvements can be made. These all fall within the protection scope of the present invention. That is, the embodiments described "in some embodiments" can be freely combined with any of the embodiments above and below. Therefore, all equivalent transformations and modifications made within the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for predicting the movement trajectory of marine organisms that cause harm in nuclear power plants, characterized in that, Includes the following steps: S1: Construct a hydrodynamic model of the nuclear power plant to simulate the spatiotemporal changes of hydrodynamics in the intake area of ​​the nuclear power plant; wherein, the hydrodynamic model includes the SCHISM hydrodynamic model and the ROMS hydrodynamic model; step S1 specifically includes: The ROMS hydrodynamic model was constructed to cover the sea area where the nuclear power plant is located, with a resolution of more than 1 km, in order to simulate the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located. The SCHISM hydrodynamic model was constructed, covering a range of 10km around the nuclear power plant, with a resolution ranging from 20m to 100m. The closer to the shore, the higher the resolution, in order to simulate the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant. S2: Based on the discovery of the harmful marine organisms, a marine organism drift trajectory prediction model is constructed according to the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant to simulate and track the movement trajectory of the harmful marine organisms; wherein, the marine organism drift trajectory prediction model includes a particle tracking model; step S2 specifically includes: Based on the discovery of the harmful marine organisms, a particle tracking model was constructed by combining the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant. The Lagrange particle tracking method was used to simulate and track the movement trajectory of the harmful marine organisms. The construction of the particle tracking model includes: establishing the conversion relationship and calculation method between Eulerian flow field and Lagrange motion, designing the time step, calculating the two-dimensional and three-dimensional Lagrange motion trajectory of particles based on the three-dimensional Eulerian flow field simulated by the SCHISM hydrodynamic model, realizing the simulated tracking of particles, and completing the construction of the particle tracking model. In different seasons, at least one set of tracking particles and a corresponding drifting buoy for the on-site drifting tracking experiment are released in a designated sea area and time. The season, sea area and time of the release of the tracking particles are determined according to the on-site drifting tracking experiment. Each set of tracking particles includes 9-26 particles. The particle tracking model simulates the movement trajectory of the particles over a period of time. The simulation of the particle tracking model is verified by comparing the particle trajectory with the trajectory of the corresponding drifting buoy.

2. The method for predicting the movement trajectory of marine organisms causing harm in nuclear power plants according to claim 1, characterized in that, Step S1 also includes: The ROMS hydrodynamic model provides the open boundary data of the water intake area of ​​the nuclear power plant and the spatiotemporal changes of the hydrodynamics of the sea area where the nuclear power plant is located for the construction of the SCHISM hydrodynamic model.

3. The method for predicting the movement trajectory of marine organisms causing harm in nuclear power plants according to claim 1, characterized in that, The spatiotemporal variations of the hydrodynamics include: three-dimensional temperature-salinity current and spatiotemporal variations of sea surface height field.

4. The method for predicting the movement trajectory of marine organisms causing harm in nuclear power plants according to claim 1, characterized in that, The construction of the ROMS hydrodynamic model includes: The computational domain, grid size, and number of underwater vertical layers of the ROMS hydrodynamic model are designed based on the hydrodynamic environment of the sea area where the nuclear power plant is located. The computational region and the mesh size are parameterized and input into the upper interface data input interface of the ROMS hydrodynamic model; The number of underwater vertical layers is parameterized and input into the open boundary data input interface of the ROMS hydrodynamic model; The ROMS hydrodynamic model has been constructed.

5. The method for predicting the movement trajectory of marine organisms causing harm in nuclear power plants according to claim 1, characterized in that, The construction of the SCHISM hydrodynamic model includes: A topographic dataset of the nuclear power plant's water intake area was created based on the water depth and topographic features of the water intake area. Based on the received open boundary data of the nuclear power plant's water intake area, obtain the corresponding terrain features in the terrain dataset; Based on the topographic features and the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located, an unstructured triangular mesh three-dimensional hydrodynamic model was established based on the SCHISM hydrodynamic model, thus completing the construction of the SCHISM hydrodynamic model.

6. The method for predicting the movement trajectory of marine organisms causing harm in nuclear power plants according to claim 1, characterized in that, Step S2 includes: Based on the discovery of the marine organisms causing the disaster, the particle tracking model was constructed by combining the spatiotemporal changes of hydrodynamics and biological influence conditions in the water intake area of ​​the nuclear power plant. The Lagrange particle tracking method was used to simulate and track the movement trajectory of the marine organisms causing the disaster.

7. A system for predicting the movement trajectory of marine organisms that could cause harm in nuclear power plants, characterized in that, include: The first construction module is used to construct a hydrodynamic model of a nuclear power plant to simulate the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant; wherein, the hydrodynamic model includes the SCHISM hydrodynamic model and the ROMS hydrodynamic model; The first construction unit is used to construct the ROMS hydrodynamic model, covering the sea area where the nuclear power plant is located, with a resolution of more than 1km, in order to simulate the spatiotemporal changes of hydrodynamics in the sea area where the nuclear power plant is located. The second construction unit constructs the SCHISM hydrodynamic model, covering a 10km radius around the nuclear power plant, with a resolution ranging from 20m to 100m. The closer to the shore, the higher the resolution, in order to simulate the spatiotemporal changes of hydrodynamics in the water intake area of ​​the nuclear power plant. The second construction module is used to construct a marine organism drift trajectory prediction model based on the hydrodynamic spatiotemporal changes in the water intake area of ​​the nuclear power plant, after the discovery of the marine organisms causing the disaster, and to simulate and track the movement trajectory of the marine organisms causing the disaster; wherein, the marine organism drift trajectory prediction model includes a particle tracking model. The second construction module is further used to construct the particle tracking model based on the discovery of the harmful marine organisms and the spatiotemporal changes of the hydrodynamics in the water intake area of ​​the nuclear power plant, and to simulate and track the movement trajectory of the harmful marine organisms using the Lagrange particle tracking method; the construction of the particle tracking model includes: establishing the conversion relationship and calculation method between the Eulerian flow field and the Lagrange motion, designing the time step, calculating the two-dimensional and three-dimensional Lagrange motion trajectories of the particles based on the three-dimensional Eulerian flow field simulated by the SCHISM hydrodynamic model, realizing the simulated tracking of the particles, and completing the construction of the particle tracking model; The second verification module is used to release at least one set of tracking particles and a corresponding drifting buoy for a field drifting tracking experiment in a specified sea area and time during different seasons. The season, sea area, and time of release of the tracking particles are determined according to the field drifting tracking experiment. Each set of tracking particles includes 9-26 particles. The particle tracking model simulates the movement trajectory of the particles over a period of time. The simulation of the particle tracking model is verified by comparing the particle movement trajectory with the movement trajectory of the corresponding drifting buoy.

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