Storm surge numerical simulation method and system based on parameterized typhoon model

Abstract

The invention discloses a storm surge numerical simulation method and system based on a parameterized typhoon model, and the method comprises the steps: obtaining typhoon data of a to-be-researched region, carrying out the assimilation simulation calculation, and constructing an assimilation typhoon model; obtaining topographic data and water depth data of a to-be-studied area, performing grid division and data interpolation processing, and constructing a two-dimensional storm surge model; setting boundary driving conditions, and performing parameter calibration verification on the assimilation typhoon model and the two-dimensional storm surge model to obtain a verified assimilation typhoon model and a verified two-dimensional storm surge model; and performing storm surge numerical simulation based on the verified assimilation typhoon model and the verified two-dimensional storm surge model to obtain a storm surge numerical simulation result. According to the method, the comprehensive influence of different factors on the storm surge can be analyzed more comprehensively, and the precision of storm surge simulation is improved. The storm surge numerical simulation method and system based on the parameterized typhoon model can be widely applied to the technical field of ocean disaster prevention and reduction.

Description

Technical Field

[0001] The present invention relates to the technical field of marine disaster prevention and reduction, and in particular to a storm surge numerical simulation method and system based on a parameterized typhoon model. Background Art

[0002] Storm surge is one of the major marine disasters, and storm surge disaster is the most destructive of marine disasters. The parameterized typhoon model simplifies the complex atmospheric dynamics of typhoons into relatively simple mathematical expressions and empirical formulas. It has high computational efficiency, strong adaptability, and low data requirements. It is suitable for rapid assessment and scenario analysis. Combining reanalysis data with the parameterized typhoon model can effectively solve the problem of low values ​​of the background wind field and pressure field of the parameterized typhoon model. Most of the research on the influencing factors of storm surge focuses on the influence of typhoon intensity, typhoon scale and typhoon minimum central pressure. There are relatively few quantitative studies on the impact of typhoon landing time, typhoon landing location, typhoon movement speed and typhoon path on storm surge, and there is a lack of research on the interaction between astronomical tide and storm surge. In addition, the parameterized typhoon model used in the existing technology ignores the background wind field and pressure field, resulting in a certain deviation in its description of the actual complex meteorological process, resulting in the accuracy of storm surge simulation cannot meet actual needs. Summary of the invention

[0003] In order to solve the above technical problems, the purpose of the present invention is to provide a storm surge numerical simulation method and system based on a parameterized typhoon model, which can more comprehensively analyze the comprehensive impact of different factors on storm surge and improve the accuracy of storm surge simulation.

[0004] The first technical solution adopted by the present invention is: a storm surge numerical simulation method based on a parameterized typhoon model, comprising the following steps:

[0005] Obtain typhoon data of the area to be studied for assimilation simulation calculation and construct an assimilated typhoon model;

[0006] Obtain terrain data and water depth data of the area to be studied, perform grid division and data interpolation processing, and construct a two-dimensional storm surge model;

[0007] Boundary driving conditions are set to perform parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and the verified assimilated typhoon model and the verified two-dimensional storm surge model are obtained;

[0008] A storm surge numerical simulation is performed based on the verified assimilated typhoon model and the verified two-dimensional storm surge model to obtain a storm surge numerical simulation result, which represents the effect of changing typhoon parameters on the storm surge.

[0009] Furthermore, the step of obtaining typhoon data for assimilation simulation calculation and constructing an assimilated typhoon model specifically includes:

[0010] Acquire typhoon data for the area to be studied, wherein the typhoon data includes typhoon path data, typhoon maximum wind speed data, typhoon center minimum pressure data and ERA5 background wind field data;

[0011] Based on the Holland model, the typhoon wind speed distribution is calculated in combination with the typhoon data of the area to be studied, and the Holland typhoon model is constructed;

[0012] The Holland typhoon model is assimilated and calculated using the ERA5 background wind field data to construct an assimilated typhoon model.

[0013] Furthermore, the expression for calculating the typhoon wind speed distribution based on the Holland model and combined with typhoon data is specifically as follows:

[0014]

[0015] In the above formula, r represents the radial distance from the calculation point to the typhoon center, ρ a Represents air density, P n and P c represent the ambient atmospheric pressure and the atmospheric pressure at the center of the typhoon, f represents the Coriolis force, R max represents the maximum wind speed radius, B represents the storm scale parameter, V(r) represents the wind speed at a radial distance r from the typhoon center, and P(r) represents the air pressure at a radial distance r from the typhoon center.

[0016] Furthermore, the expression for calculating the typhoon wind speed distribution based on the Holland model and the typhoon data of the area to be studied is specifically as follows:

[0017] V New =V H (1-e)+eV e

[0018]

[0019] In the above formula, V H represents the Holland wind farm, V e represents the ERA5 background wind field data, e represents the weighting coefficient, C represents the coefficient of the typhoon impact range, V New represents the wind speed distribution after correction based on ERA5 data, and n represents the scale factor of the typhoon’s impact range.

[0020] Furthermore, the step of obtaining terrain data and water depth data of the area to be studied, performing grid division and data interpolation processing, and constructing a two-dimensional storm surge model specifically includes:

[0021] Obtain topographic data, coastline data and water depth data of the area to be studied, and construct the computational grid of the hydrodynamic model;

[0022] The computational grid of the hydrodynamic model is divided and processed by using the coastline data to obtain the computational grid of the hydrodynamic model after division;

[0023] The computational grid of the divided hydrodynamic model is interpolated through terrain data and water depth data, and the model parameters are set to obtain a two-dimensional storm surge model.

[0024] Furthermore, the step of setting boundary driving conditions, performing parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and obtaining the verified assimilated typhoon model and the verified two-dimensional storm surge model specifically includes:

[0025] The global tidal model is set as the boundary driving condition, and the astronomical tide data of the meteorological station is obtained to perform parameter calibration verification on the assimilated typhoon model, and the verified assimilated typhoon model is obtained;

[0026] The global tidal model was set as the boundary driving condition, and the storm surge data from the meteorological station was obtained to perform parameter calibration verification on the two-dimensional storm surge model, thus obtaining the verified two-dimensional storm surge model.

[0027] The second technical solution adopted by the present invention is: a storm surge numerical simulation system based on a parameterized typhoon model, comprising:

[0028] The first module is used to obtain typhoon data in the area to be studied for assimilation simulation calculation and to build an assimilated typhoon model;

[0029] The second module is used to obtain the terrain data and water depth data of the area to be studied, perform grid division and data interpolation processing, and construct a two-dimensional storm surge model;

[0030] The third module is used to set boundary driving conditions, perform parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and obtain the verified assimilated typhoon model and the verified two-dimensional storm surge model;

[0031] The fourth module is used to perform numerical simulation of storm surge based on the verified assimilated typhoon model and the verified two-dimensional storm surge model to obtain numerical simulation results of storm surge, which represent the impact of changing typhoon parameters on storm surge.

[0032] The beneficial effects of the method and system of the present invention are as follows: the present invention obtains typhoon data of the area to be studied for assimilation simulation calculation, constructs an assimilated typhoon model, further obtains terrain data and water depth data of the area to be studied, performs grid division and data interpolation processing, constructs a two-dimensional storm surge model, and combines the parameterized typhoon model with reanalysis data, thereby overcoming the problem that the background wind field and pressure field values ​​of the parameterized typhoon model are too low, and can more accurately simulate the typhoon process, improve the accuracy of storm surge simulation, set boundary driving conditions, perform parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and finally perform storm surge numerical simulation based on the verified assimilated typhoon model and the verified two-dimensional storm surge model, which can more comprehensively analyze the comprehensive impact of different factors on storm surges and improve the accuracy and scientificity of storm surge research. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of steps of a storm surge numerical simulation method based on a parameterized typhoon model of the present invention; Figure 2 It is a structural block diagram of a storm surge numerical simulation system based on a parameterized typhoon model of the present invention; Figure 3 It is a location map of the research area and a schematic diagram of selected characteristic points provided by a specific embodiment of the present invention; Figure 4 is a schematic diagram of storm surge grid division provided by a specific embodiment of the present invention; Figure 5 It is a schematic diagram of the storm surge process at each station under different typhoon center pressures provided by a specific embodiment of the present invention; Figure 6 It is a schematic diagram of the storm surge process at each station at different typhoon landing locations provided by a specific embodiment of the present invention; Figure 7 It is a schematic diagram of the total water level process of storm surge at each station at different typhoon landing times provided by a specific embodiment of the present invention; Figure 8 It is a schematic diagram of the storm surge process at each station at different typhoon landing times provided by a specific embodiment of the present invention; Fig. 9 It is a schematic diagram of the storm surge process at each station under different typhoon moving speeds provided by a specific embodiment of the present invention. DETAILED DESCRIPTION

[0043] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The step numbers in the following embodiments are only provided for the convenience of explanation and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0044] Reference Figure 1 The present invention provides a storm surge numerical simulation method based on a parameterized typhoon model, the method comprising the following steps:

[0045] S100, obtaining typhoon data of the area to be studied, performing assimilation simulation calculations, and constructing an assimilated typhoon model;

[0046] Specifically, typhoon data of the area to be studied are obtained, wherein the typhoon data include typhoon path data, typhoon maximum wind speed data, typhoon center minimum air pressure data and ERA5 background wind field data; based on the Holland model, typhoon wind speed distribution is calculated in combination with the typhoon data of the area to be studied to construct a Holland typhoon model; the Holland typhoon model is assimilated through the ERA5 background wind field data to construct an assimilated typhoon model.

[0047] In this embodiment, a certain river basin is selected as the research area, a certain typhoon is studied, and the influence of the change of typhoon parameters on the storm surge in a certain river basin is studied. Typhoon data is obtained from the typhoon network of the Central Meteorological Observatory to construct an assimilated typhoon model; the typhoon data includes the typhoon path, the maximum wind speed of the typhoon, the minimum pressure at the center of the typhoon, and the ERA5 background wind field data; the scope of the research area and the selected characteristic points are as follows Figure 3 shown.

[0048] The typhoon path, maximum wind speed, minimum air pressure at the typhoon center and ERA5 data of a typhoon were collected to construct the Holland typhoon model, and the assimilated wind field was generated by combining the ERA5 reanalysis data.

[0049] The calculation formulas for the Holland wind field and pressure field are as follows:

[0050]

[0051] In the above formula, r represents the radial distance from the calculation point to the typhoon center, ρ a Represents air density, P n and P c represent the ambient atmospheric pressure and the atmospheric pressure at the center of the typhoon, f represents the Coriolis force, R max represents the maximum wind speed radius, B represents the storm scale parameter, V(r) represents the wind speed at a radial distance r from the typhoon center, and P(r) represents the air pressure at a radial distance r from the typhoon center.

[0052] The calculation formulas for the maximum wind speed radius and storm scale parameters are as follows:

[0053] R max =51.6exp(-0.0223V max +0.02814φ)

[0054]

[0055] In the above formula, φ represents the latitude of the typhoon center (in degrees), V max Indicates the maximum wind speed.

[0056] The assimilated wind field is generated by combining the Holland typhoon model and the ERA5 reanalysis data. The calculation formula is as follows:

[0057] V New =V H (1-e)+eV e

[0058]

[0059] In the above formula, V H represents the Holland wind farm, V e represents the ERA5 background wind field data, e represents the weighting coefficient, C represents the coefficient of the typhoon impact range, V New represents the wind speed distribution after correction based on ERA5 data, and n represents the scale factor of the typhoon’s impact range.

[0060] It should be noted that, in this embodiment, the value of n is set to 9; the constructed typhoon assimilation model is shown in Figure 4 .

[0061] S200, obtaining terrain data and water depth data of the area to be studied, performing grid division and data interpolation processing, and constructing a two-dimensional storm surge model;

[0062] Specifically, the terrain data, coastline data and water depth data of the area to be studied are obtained to construct a computational grid for the hydrodynamic model; the computational grid of the hydrodynamic model is divided by the coastline data to obtain the computational grid of the divided hydrodynamic model; the computational grid of the divided hydrodynamic model is interpolated by the terrain data and water depth data, and the model parameters are set to obtain a two-dimensional storm surge model.

[0063] In this embodiment, underwater topographic data of the sea area within the target area is collected, and coastline data and global water depth data of the study area are downloaded to construct a computational grid for the hydrodynamic model;

[0064] Based on the acquired coastline data, some islands in the area were simplified (e.g., small islands were removed) and the coastline was smoothed (e.g., sharp corners were rounded), and grid division was performed, and the terrain data and water depth data were interpolated into the grid; the grid division is as follows Figure 5 shown.

[0065] A TELEMAC-2D two-dimensional storm surge model was constructed, and model parameters were set. The model parameters included initial water depth, open boundary driving condition, bottom friction coefficient, and wind stress coefficient.

[0066] It should be noted that when |U 10 |≤5m / s; wind stress coefficient

[0067] When 5≤|U 10 |≤19.22m / s; wind stress coefficient

[0068] When|U 10 |>19.22m / s; wind stress coefficient

[0069] S300, setting boundary driving conditions, performing parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and obtaining a verified assimilated typhoon model and a verified two-dimensional storm surge model;

[0070] Specifically, the global tidal model is set as the boundary driving condition, and the astronomical tide data of the meteorological station is obtained to perform parameter calibration verification on the assimilated typhoon model to obtain the verified assimilated typhoon model; the global tidal model is set as the boundary driving condition, and the storm surge data of the meteorological station is obtained to perform parameter calibration verification on the two-dimensional storm surge model to obtain the verified two-dimensional storm surge model.

[0071] In this embodiment, the global tidal model TPXO9.0 is used as the boundary driving condition of the open boundary to simulate astronomical tide and storm surge. The astronomical tide data of six stations during a typhoon are selected for astronomical tide calibration verification, and the storm surge data of two stations are selected for storm surge calibration verification.

[0072] The evaluation indicators of the constructed storm surge model include correlation coefficient R, Nash coefficient (NSE) and root mean square error (RMSE). The calculation formulas of these three indicators are as follows:

[0073]

[0074] In the above formula, n represents the number of observations, m i and i represent the model simulation value and the observed value, respectively. represents the mean of the model simulation values, represents the mean of the observations.

[0075] The calculated indicators are shown in Tables 1 and 2, where SS, ZH(JZG), ZH(XZG), ZHG, SZJC and CW represent the selected sites.

[0076] Table 1 Astronomical tide verification indicators of each station

[0077]

[0078] Table 2 Storm surge verification indicators

[0079]

[0080]

[0081] S400, performing storm surge numerical simulation based on the verified assimilated typhoon model and the verified two-dimensional storm surge model to obtain storm surge numerical simulation results, wherein the storm surge numerical simulation results represent the impact of changing typhoon parameters on the storm surge.

[0082] The lowest central pressure in the original data of a typhoon is increased by 5hPa and 10hPa, and decreased by 5hPa and 10hPa, respectively. The data is input into the constructed typhoon model to generate assimilated wind field and pressure field, run the hydrodynamic model, solve the storm surge control equation, obtain the temporal and spatial distribution of the storm surge water level, output the results, and extract the storm surge tidal data at specific points for analysis; the storm surge process under different typhoon center lowest pressures is as follows Figure 6 As shown in Figure 1, as the typhoon's lowest central pressure decreases, the maximum storm surge water increase gradually increases. The decrease in the lowest central pressure also leads to a decrease in the minimum storm surge after the typhoon lands. In addition, the change in the central pressure difference has a more significant impact on DHQ and point C.

[0083] The path of a typhoon was moved westward by 0.5° and 1°, and eastward by 0.5°, 1°, and 2°, while keeping the maximum wind speed, the lowest central pressure, and the size of the typhoon unchanged. The constructed storm surge model was used to simulate the spatial distribution of storm surges in the study area under five different typhoon landing locations, and the results were compared with those of the original typhoon path. Figure 7 As shown in the figure, as the typhoon landfall position moves eastward, the peak moment of the storm surge gradually lags behind. At the DHQ station, the maximum storm surge occurs on the original path, while at the ZHG station, the maximum storm surge occurs when the landfall position shifts 0.5° to the west. At other locations, the maximum value of the storm surge increases as the landfall position moves eastward, reaching a peak when it moves 1° eastward, and the maximum value of the storm surge begins to decrease as it continues to move eastward.

[0084] The time series of a certain typhoon is adjusted to advance it by 1, 2, 3 and 4 hours, and to delay it by 1, 2, 3 and 4 hours. The starting time of the storm surge model calculation is modified, and numerical experiments are carried out using the modified wind field and pressure field. The total storm surge water level and storm surge are analyzed under various conditions to illustrate the influence of the interaction between astronomical tide and storm surge. The total storm surge water level process and storm surge process at different typhoon landing times are shown in Figure 2. Figure 8 and Fig. 9 As shown in Figure 2, the total water levels at eight different locations generally exhibit two different patterns: for ZHG, DHQ, and point A, the larger the astronomical tide, the higher the maximum total water level of the storm surge. When the storm surge is synchronized with the tide, these locations may experience extremely high total water levels. For the remaining five locations, the maximum total water level of the storm surge generally increases with the advance of the typhoon time series. Except for point B, the maximum total water levels at these locations are usually reached 1 hour in advance of the typhoon, as shown in Figure 2. Fig. 9 As shown in the figure, when the storm makes landfall at high tide, the storm surge at each location is lower than when it makes landfall at low tide. This indicates that the storm surge at the Pearl River Estuary is smaller at high tide than at low tide. In addition, the tide level at point C near the bay mouth is more significantly affected by the astronomical tide.

[0085] The moving speed of a typhoon is increased by 10% and 20%, and decreased by 10% and 20%, respectively. Only the moving speed of the typhoon center is modified to obtain a new typhoon case, and the original typhoon landing time is not changed. The four typhoons still land at the same time to ensure that the astronomical tide levels at various locations along the coast are the same when the four typhoons land in the study area, avoiding the interference of the astronomical tide phase on the simulated water level results, so as to better reflect the sensitivity of storm surge to the moving speed of the typhoon center. Fig. 9 As shown in the figure, the slower the typhoon moves before landing, the greater the storm surge. In the stage of storm surge reduction after landing, the slower typhoon movement speed will also lead to greater storm surge. At point A, when the typhoon speed decreases by 20%, the maximum storm surge value is the highest. At all other locations, when the typhoon speed decreases by 10%, the maximum storm surge water increase is the highest. The maximum storm surge values ​​under different scenarios vary relatively little.

[0086] In summary, the present invention combines the parameterized typhoon model with the reanalysis data, overcomes the problem of low values ​​of the background wind field and pressure field of the parameterized typhoon model, and provides a method for comprehensively analyzing the impact of multiple typhoon parameters on storm surges, especially quantitatively studying factors such as the lowest pressure in the typhoon center, landing location, landing time, and moving speed. Compared with traditional storm surge research methods, the present invention can more comprehensively analyze the comprehensive impact of different factors on storm surges.

[0087] Reference Figure 2 , a storm surge numerical simulation system based on a parameterized typhoon model, comprising:

[0088] The first module 201 is used to obtain typhoon data of the area to be studied, perform assimilation simulation calculations, and construct an assimilated typhoon model;

[0089] The second module 202 is used to obtain terrain data and water depth data of the area to be studied, perform grid division and data interpolation processing, and construct a two-dimensional storm surge model;

[0090] The third module 203 is used to set boundary driving conditions, perform parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and obtain a verified assimilated typhoon model and a verified two-dimensional storm surge model;

[0091] The fourth module 204 is used to perform numerical simulation of storm surge based on the verified assimilated typhoon model and the verified two-dimensional storm surge model to obtain numerical simulation results of storm surge, wherein the numerical simulation results of storm surge represent the effect of changing typhoon parameters on storm surge.

[0092] The contents of the above method embodiments are all applicable to the present system embodiments. The functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0093] The above is a specific description of the preferred implementation of the present invention, but the invention is not limited to the 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 storm surge numerical simulation method based on a parameterized typhoon model, characterized in that: The following steps are involved: Obtain typhoon data of the area to be studied for assimilation simulation calculation and construct an assimilated typhoon model; Obtain terrain data and water depth data of the area to be studied, perform grid division and data interpolation processing, and construct a two-dimensional storm surge model; Boundary driving conditions are set to perform parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and the verified assimilated typhoon model and the verified two-dimensional storm surge model are obtained; A storm surge numerical simulation is performed based on the verified assimilated typhoon model and the verified two-dimensional storm surge model to obtain a storm surge numerical simulation result, which represents the effect of changing typhoon parameters on the storm surge.

2. The method for numerical simulation of storm surge based on a parameterized typhoon model according to claim 1, characterized in that: The step of obtaining typhoon data for assimilation simulation calculation and constructing an assimilated typhoon model specifically includes: Acquire typhoon data for the area to be studied, wherein the typhoon data includes typhoon path data, typhoon maximum wind speed data, typhoon center minimum pressure data and ERA5 background wind field data; Based on the Holland model, the typhoon wind speed distribution is calculated in combination with the typhoon data of the area to be studied, and the Holland typhoon model is constructed; The Holland typhoon model is assimilated and calculated using the ERA5 background wind field data to construct an assimilated typhoon model.

3. A storm surge numerical simulation method based on a parameterized typhoon model according to claim 2, characterized in that: The expression for calculating the typhoon wind speed distribution based on the Holland model and combined with typhoon data is specifically as follows: In the above formula, r represents the radial distance from the calculation point to the typhoon center, ρ a Represents air density, P n and P c represent the ambient atmospheric pressure and the atmospheric pressure at the center of the typhoon, f represents the Coriolis force, R max represents the maximum wind speed radius, B represents the storm scale parameter, V(r) represents the wind speed at a radial distance r from the typhoon center, and P(r) represents the air pressure at a radial distance r from the typhoon center.

4. The method for numerical simulation of storm surge based on a parameterized typhoon model according to claim 3, characterized in that: The expression for calculating the typhoon wind speed distribution based on the Holland model and the typhoon data of the area to be studied is specifically as follows: V New =V H (1-e)+eV e In the above formula, V H represents the Holland wind field, V e represents the ERA5 background wind field data, e represents the weighting coefficient, c represents the coefficient of the typhoon impact range, V New represents the wind speed distribution after correction based on ERA5 data, and n represents the scale factor of the typhoon’s impact range.

5. A storm surge numerical simulation method based on a parameterized typhoon model according to claim 4, characterized in that: The step of obtaining terrain data and water depth data of the area to be studied, performing grid division and data interpolation processing, and constructing a two-dimensional storm surge model specifically includes: Obtain topographic data, coastline data and water depth data of the area to be studied, and construct the computational grid of the hydrodynamic model; The computational grid of the hydrodynamic model is divided and processed by using the coastline data to obtain the computational grid of the hydrodynamic model after division; The computational grid of the divided hydrodynamic model is interpolated through terrain data and water depth data, and the model parameters are set to obtain a two-dimensional storm surge model.

6. A storm surge numerical simulation method based on a parameterized typhoon model according to claim 5, characterized in that: The step of setting boundary driving conditions, performing parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and obtaining the verified assimilated typhoon model and the verified two-dimensional storm surge model specifically includes: The global tidal model is set as the boundary driving condition, and the astronomical tide data of the meteorological station is obtained to perform parameter calibration verification on the assimilated typhoon model, and the verified assimilated typhoon model is obtained; The global tidal model was set as the boundary driving condition, and the storm surge data from the meteorological station was obtained to perform parameter calibration verification on the two-dimensional storm surge model, thus obtaining the verified two-dimensional storm surge model.

7. A storm surge numerical simulation system based on a parameterized typhoon model, characterized in that: Includes the following modules: The first module is used to obtain typhoon data in the area to be studied for assimilation simulation calculation and to build an assimilated typhoon model; The second module is used to obtain the terrain data and water depth data of the area to be studied, perform grid division and data interpolation processing, and construct a two-dimensional storm surge model; The third module is used to set boundary driving conditions, perform parameter calibration verification on the assimilated typhoon model and the two-dimensional storm surge model, and obtain the verified assimilated typhoon model and the verified two-dimensional storm surge model; The fourth module is used to perform numerical simulation of storm surge based on the verified assimilated typhoon model and the verified two-dimensional storm surge model to obtain numerical simulation results of storm surge, which represent the impact of changing typhoon parameters on storm surge.

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