CN115775437A

CN115775437A - Early warning method and early warning device for seawaves in fishing port

Info

Publication number: CN115775437A
Application number: CN202211526195.4A
Authority: CN
Inventors: 王娟娟; 李本霞; 侯放; 徐瑞
Original assignee: NATIONAL MARINE ENVIRONMENTAL FORECASTING CENTER
Current assignee: NATIONAL MARINE ENVIRONMENTAL FORECASTING CENTER
Priority date: 2022-11-30
Filing date: 2022-11-30
Publication date: 2023-03-10
Anticipated expiration: 2042-11-30
Also published as: CN115775437B

Abstract

The application provides a method and a device for early warning of seawaves in a fishing port, comprising the following steps: driving a storm surge-sea wave coupling model corresponding to the peripheral sea area of the target fishing port by using the sea surface wind field and the air pressure field of the peripheral sea area of the target fishing port, and simulating a target parameter combination of a preset wave-making boundary in a target time period; screening a target sea wave effective wave height spatial distribution field in a target fishing port under a target parameter combination from a pre-constructed fishing port sea wave scene database corresponding to the target fishing port; the fishing port sea wave scene database is obtained by simulating a fishing port hydrodynamic model in a target fishing port driven by a plurality of historical parameter combinations; and constructing a fishing port sea wave early warning product of the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field. Therefore, by considering the influence of storm surge on the sea waves, more accurate space forecast of the sea waves in the fishing port can be realized; the fishing port sea wave early warning product can fully and effectively early warn the severity of the fishing port sea waves.

Description

Early warning method and early warning device for seawaves in fishing port

Technical Field

The application relates to the technical field of ocean forecasting, in particular to an early warning method and an early warning device for sea waves in a fishing port.

Background

The fishing port is a port which is arranged for providing functions of anchoring and danger avoiding, material supply, fish and cargo loading and unloading and the like for a fishing boat, wherein the functions of anchoring and danger avoiding of the fishing boat are very important for guaranteeing the safety of lives and properties of people. The key factor for the safety of berthing is the state of the waves in the waters inside the port, for example: the fishing boat can be slapped by large wave height, so that the boat body is damaged and water enters the boat; when the wave period is close to the inherent motion period of the fishing boat, the fishing boat is easy to overturn due to the resonance rolling.

At present, mainstream research on sea waves of the fishing port focuses on forecasting of the sea waves of the fishing port, one mode is a spectral model direct forecasting method, the method mainly extracts sea wave state parameters of a near sea area outside the port by means of a numerical forecasting result of a sea wave spectral model and directly uses the sea wave state parameters as the sea wave forecasting of the fishing port, and the spectral model has the advantages of strong computing stability, high business level, high computing speed and the like, so that the spectral model is widely applied to business fishing port forecasting. This technique also has several significant drawbacks: (1) the forecast is simple sea wave parameters outside the fishing port, but not the space distribution characteristics of the sea waves inside the fishing port, which is the key point for selecting a berthed water area when the fishing boat avoids danger; (2) neglecting the overlapping influence of storm surge, and underestimating the risk of sea waves in a strong weather system; (3) only forecasting is performed, and no warning is provided, so that an early warning mechanism cannot be provided for dangerous sea waves. The other method is a spectral model and hydrodynamic model forecasting method, the method models hydrodynamic environment in a fishing port, and combines numerical forecasting of a spectral model outside the port to obtain sea wave state forecasting in the port through a linear interpolation or artificial intelligence pushing algorithm.

Therefore, the existing forecasting method for the sea waves in the fishing port cannot meet the requirement of carrying out accurate early warning on the sea waves in the fishing port.

Disclosure of Invention

In view of the above, an object of the present application is to provide a method and a device for early warning of sea waves in a fishing port, which can forecast an effective wave height spatial distribution field of sea waves in the fishing port based on sea wave parameters and storm surge parameters obtained by a storm surge-sea wave coupling model, and further construct a sea wave early warning product in the fishing port to perform sea wave early warning; therefore, by considering the influence of storm surge on sea waves, more accurate space forecast of the sea waves in the fishing port can be realized; the fishing port sea wave early warning product can fully and effectively early warn the severity of the fishing port sea waves and provide important reference for the fishing port management department and fishery personnel.

The embodiment of the application provides an early warning method for seawaves in a fishing port, which comprises the following steps:

driving a pre-constructed storm surge-sea wave coupling model corresponding to the peripheral sea area of the target fishing port by using a sea surface wind field and an air pressure field of the peripheral sea area of the target fishing port, and simulating a target parameter combination of a preset wave generation boundary in the peripheral sea area of the target fishing port in a target time period; wherein the target parameter combination comprises a target sea wave parameter and a target storm surge parameter;

screening out a target sea wave effective wave height spatial distribution field in a target fishing port under the target parameter combination from a pre-constructed fishing port sea wave scene database corresponding to the target fishing port; the fishing port sea wave scene database is obtained by driving a pre-constructed fishing port hydrodynamic model in a target fishing port by a plurality of historical parameter combinations output by the storm surge-sea wave coupling model through simulation;

constructing a fishing port sea wave early warning product of the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field; the fishing port sea wave early warning product is used for early warning the severity of sea waves in the target fishing port and/or the wave avoiding capacity of the target fishing port in the target time period.

Further, the fishing port sea wave scene database is constructed in the following manner:

driving the storm surge-sea wave coupling model by using a historical sea surface wind field and a historical air pressure field of the peripheral sea area of the target fishing port, and acquiring a post-reporting field of historical sea wave parameters and a post-reporting field of historical storm surge parameters of the peripheral sea area of the target fishing port;

counting to obtain a wave parameter maximum value, a wave parameter minimum value, a storm surge parameter maximum value and a storm surge parameter minimum value in each historical counting period based on the historical wave parameter post-reporting field and the historical storm surge parameter post-reporting field;

determining a resurgence period sea wave parameter and a resurgence period storm surge parameter in a preset resurgence period based on a sea wave parameter maximum value and a storm surge parameter maximum value in each historical statistical period, and respectively determining the resurgence period sea wave parameter and the resurgence period storm surge parameter as a sea wave parameter value upper limit and a storm surge parameter value upper limit at a preset wave boundary in the hydraulic model of the fishing port;

determining an average value of the sea wave parameter minimum values and an average value of the storm surge parameter minimum values in a plurality of historical statistical periods based on the sea wave parameter minimum values and the storm surge parameter minimum values in each historical statistical period, and respectively determining the average values of the sea wave parameter minimum values as a sea wave parameter value lower limit and a storm surge parameter value lower limit at a preset wave boundary in the fishing port hydrodynamic model;

according to the wave parameter value upper limit and the wave parameter value lower limit, a plurality of test wave parameters are obtained by segmentation according to preset intervals; dividing the storm surge parameters according to the upper limit and the lower limit of the storm surge parameter values to obtain a plurality of test storm surge parameters at preset intervals;

combining the plurality of test sea wave parameters and the plurality of test storm surge parameters respectively to obtain a plurality of historical parameter combinations consisting of the test sea wave parameters and the test storm surge parameters;

aiming at each historical parameter combination, using the historical parameter combination as a parameter value at the wave-making boundary to drive the hydrodynamic model of the fishing port, and simulating to obtain a spatial distribution field of sea waves of the fishing port when the target fishing port reaches a steady state under the historical parameter combination;

and carrying out linear interpolation encryption on the fishing port sea wave spatial distribution field when the stable state is achieved under each historical parameter combination to obtain the fishing port sea wave scene database.

Further, the wave parameters comprise effective wave height, wave period and wave direction; the storm surge parameters comprise sea surface water level; dividing the sea wave parameter according to the upper sea wave parameter value limit and the lower sea wave parameter value limit to obtain a plurality of test sea wave parameters at preset intervals; and according to the storm surge parameter value upper limit and the storm surge parameter value lower limit, obtaining a plurality of test storm surge parameters by dividing according to a preset interval, comprising:

respectively dividing the effective wave height, the wave period and the wave direction according to respective upper value limit and lower value limit and respective corresponding preset intervals to obtain a plurality of test effective wave heights, a plurality of test wave periods and a plurality of test wave directions;

determining a preset interval corresponding to the sea level in the target fishing port according to the significance degree of the sea waves in the target fishing port influenced by the storm surge;

and according to the upper value limit and the lower value limit corresponding to the sea level, dividing the sea level according to the preset interval corresponding to the sea level in the target fishing port to obtain a plurality of test sea levels.

Further, the significance degree of the influence of the storm surge in the target fishing port is determined by the following modes:

according to the historical storm surge condition, the sea level of the preset wave making boundary under the strong storm surge, the sea level under the general storm surge and the sea level under the weak storm surge in the fishing port hydrodynamic model are set;

respectively combining the sea level under a strong storm tide, the sea level under a general storm tide and the sea level under a weak storm tide by using fixed sea wave parameters, and respectively taking the combined values as parameter values at the wave generation boundary to drive the hydrodynamic model of the fishing port, and simulating to obtain a first fishing port sea wave spatial distribution field when a target fishing port reaches a steady state under the strong storm tide, a second fishing port sea wave spatial distribution field when the general storm tide reaches the steady state and a third fishing port sea wave spatial distribution field when the general storm tide reaches the steady state;

determining a wave difference value space distribution field between the first fishing port wave space distribution field and the third fishing port wave space distribution field, and determining a significance coefficient space distribution field according to the ratio of the wave difference value space distribution field to the second fishing port wave space distribution field;

determining a spatial average significance coefficient of the target fishing port according to the significance coefficient spatial distribution field;

and determining the significance degree of the sea waves in the target fishing port influenced by the storm surge according to the space average significance coefficient and a preset coefficient value interval.

Further, constructing a fishing port sea wave early warning product of the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field, includes:

setting a target position point in the target fishing port;

determining the effective wave height of the sea wave at the target position point in the target time period through data interpolation based on the spatial distribution field of the effective wave height of the target sea wave;

constructing a fishing port sea wave early warning product of the target position point of the target fishing port in the target time period based on the sea wave effective wave height of the target position point, the annual recurrence period value of the sea wave effective wave height corresponding to the target position point and the historical percentile value of the sea wave effective wave height; the seawave early warning product for the fishing port is used for early warning the historical relative severity of seawaves in the target fishing port in the target time period.

Further, the constructing a fishing port sea wave early warning product of the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field further includes:

determining the occupation ratio of an effective wave avoiding area in the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field; the effective wave avoiding area in the target fishing port is a fishing port area in which the effective wave height in the target fishing port is smaller than a preset height threshold value and the ratio of the effective wave height in the target fishing port to the effective wave height at a preset wave making boundary outside the target fishing port is smaller than a preset ratio threshold value;

constructing a fishing port sea wave early warning product of the target fishing port in the target time period according to the proportion of the effective wave-avoiding area in the target fishing port in the target time period and a reference value for judging whether the preset wave-avoiding area is lacked; the seawave early warning product for the fishing port is used for early warning the effective wave avoiding capacity provided by the target fishing port in the target time period.

Further, the hydrodynamic model of the target fishing port is constructed by the following method:

extracting a natural shoreline, a breakwater and a wharf of the target fishing port from a satellite map or a sea map of the target fishing port, and determining the top elevation of the breakwater and the wharf of the target fishing port and the type of the natural shoreline based on investigation or field observation to obtain topographic data of the target fishing port;

acquiring the water depths of a plurality of position points in the target fishing port, and obtaining water depth data in the target fishing port through data interpolation according to the water depths of the position points;

setting wave-making boundaries outside a target fishing port and sponge layers on two sides of the wave-making boundaries based on historical sea wave data space distribution and fishing port position characteristics of a sea area at the periphery of the target fishing port, and generating a configuration file of a calculation grid of the target fishing port by a grid generation tool by combining topographic data of the target fishing port and water depth data in the target fishing port;

importing the configuration file of the computational mesh into an initial hydrodynamic model, and setting model parameters of the initial hydrodynamic model to obtain a hydrodynamic model of the fishing port of the target fishing port; wherein the model parameters include porosity, reflection coefficient and time step of the hydrodynamic model of the fishing port.

The embodiment of the application still provides an early warning device of fishing port wave, early warning device includes:

the simulation module is used for driving a pre-constructed storm surge-sea wave coupling model corresponding to the sea area at the periphery of the target fishing port by using a sea surface wind field and an air pressure field of the sea area at the periphery of the target fishing port, and simulating a target parameter combination of a preset wave-making boundary in the sea area at the periphery of the target fishing port within a target time period; wherein the target parameter combination comprises a target sea wave parameter and a target storm surge parameter;

the screening module is used for screening a target sea wave effective wave height spatial distribution field in the target fishing port under the target parameter combination from a pre-constructed fishing port sea wave scene database corresponding to the target fishing port; the fishing port sea wave scene database is obtained by driving a pre-constructed fishing port hydrodynamic model in a target fishing port by a plurality of historical parameter combinations output by the storm surge-sea wave coupling model and simulating;

the early warning module is used for constructing a fishing port sea wave early warning product of the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field; the fishing port sea wave early warning product is used for early warning the severity of sea waves in the target fishing port and/or the wave avoiding capacity of the target fishing port in the target time period.

An embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine readable instructions when executed by the processor performing the steps of a method of forewarning of seawaves in a fishing port as described above.

An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the method for warning of seawaves in a fishing port.

According to the early warning method and the early warning device for the sea waves in the fishing port, the effective wave height spatial distribution field of the sea waves in the fishing port can be forecasted based on the sea wave parameters and storm surge parameters obtained by a storm surge-sea wave coupling model, and then a sea wave early warning product in the fishing port is constructed to perform sea wave early warning; therefore, by considering the influence of storm surge on the sea waves, more accurate space forecast of the sea waves in the fishing port can be realized; the fishing port sea wave early warning product can fully and effectively early warn the severity of the fishing port sea waves and provide important reference for the fishing port management department and fishery personnel.

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

FIG. 1 is a flow chart of a method for warning seawaves in a fishing port according to an embodiment of the present disclosure;

FIGS. 2 (a) and 2 (b) are schematic diagrams of a seawave warning product in a fishing port according to an embodiment of the present invention;

FIG. 3 is a second schematic diagram of a seawave warning product in a fishing port according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram illustrating an early warning device for seawaves in a fishing port according to an embodiment of the present disclosure;

fig. 5 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.

Comprehensive research finds that at present, mainstream research on sea waves of the fishing port focuses on forecasting of the sea waves of the fishing port, one mode is a spectral model direct forecasting method, the method mainly extracts sea wave state parameters of a near sea area outside the port by means of a numerical forecasting result of a sea wave spectral model and directly uses the sea wave state parameters as the sea wave forecasting of the fishing port, and the spectral model has the advantages of high computing stability, high business level, high computing speed and the like, so that the method is widely applied to the aspect of business fishing port forecasting. This technique also has several significant drawbacks: (1) the forecast is simple sea wave parameters outside the fishing port, but not the space distribution characteristics of the sea waves inside the fishing port, which is the key point for selecting a berthed water area when the fishing boat avoids danger; (2) neglecting the superposition influence of storm surge, the sea wave risk can be underestimated under a strong weather system; (3) only forecasting is performed, and no warning is provided, so that an early warning mechanism cannot be provided for dangerous sea waves. The other method is a spectral model and hydrodynamic model forecasting method, the method models hydrodynamic environment in a fishing port, and combines numerical forecasting of a spectral model outside the port to obtain sea wave state forecasting in the port through a linear interpolation or artificial intelligence pushing algorithm. For the defect (2), the superposition influence of storm surge has an amplification effect on the sea wave, which can cause the water level in a shallow water area to be obviously increased, and the violent rise of the water level obviously weakens the energy dissipation when the sea wave is propagated, so that the sea wave in a harbor is larger than the influence of the storm surge without wind, thereby weakening the shielding effect and risk avoiding function of the fishing harbor; for the defect (3), the forecast can only provide the spatial distribution state of the waves in the harbor, but cannot warn the severity of the waves. When strong sea waves are spread in the open sea and a remarkable storm surge process exists, the extreme state of what degree the sea waves in the fishing port can reach, whether the wave avoiding effect of the fishing port is good or not and the like are all problems to be solved by the early warning technology. Therefore, the existing forecasting method for the sea waves in the fishing port cannot meet the requirement of carrying out accurate early warning on the sea waves in the fishing port.

Based on the above, the embodiment of the application provides an early warning method and an early warning device for sea waves in a fishing port, so that more accurate spatial prediction of the sea waves in the fishing port is realized by considering the influence of storm surge on the sea waves; the fishing port sea wave early warning product can fully and effectively early warn the severity of the fishing port sea waves and provide important reference for the fishing port management department and fishery personnel. More specifically, the basic flow implemented by the present application is: firstly, constructing a storm surge-sea wave coupling model outside a target fishing harbor, and then constructing a hydrodynamic model inside the target fishing harbor, wherein the harbor model provides sea wave parameters and storm surge parameters at a boundary forcing position (wave making boundary position) for an inside model. Wherein, the superposition influence of storm surge embodies in two aspects: the influence of storm surge on sea waves is considered outside the harbor through storm surge-sea wave coupling simulation, and the influence of storm surge on sea waves in the harbor is further considered through water level change parameters caused by storm surge introduced at a boundary forcing position in the harbor. After the forecasting precision of the sea waves in the fishing port is improved, an early warning technical product based on the ratio forecasting and the recurrence period analysis of the effective wave avoiding area is developed.

Referring to fig. 1, fig. 1 is a flowchart illustrating an early warning method for seawaves in a fishing port according to an embodiment of the present disclosure. As shown in fig. 1, the early warning method provided in the embodiment of the present application includes:

s101, driving a pre-constructed storm surge-sea wave coupling model corresponding to the peripheral sea area of the target fishing port by using a sea surface wind field and an air pressure field of the peripheral sea area of the target fishing port, and simulating a target parameter combination of a preset wave-making boundary in the peripheral sea area of the target fishing port in a target time period.

Wherein the target parameter combination comprises a target sea wave parameter and a target storm surge parameter. More specifically, the wave parameters include effective wave height, wave period and wave direction; the storm surge parameter comprises a sea surface water level.

Here, the storm surge-sea wave coupling model may adopt an adirc + SWAN model, and uses an unstructured triangular mesh or variable resolution mesh technology, for example, after extracting fine shoreline data from a satellite map or a sea map, a mesh generation software (e.g., SMS) may be introduced, and the spatial resolution of the computation mesh in the sea area around the fishing port is set to 200-500 m, so as to realize a fine simulation of the sea area outside the fishing port, and the coarser the mesh resolution is set, the coarsely suggested is about 10 km, where the near sea area may be a single location point or a spatial region. The parameters of the key physical process in the model can be selected by default values, and the parameter values suitable for the local sea area can be determined after sensitivity analysis. And in order to match the resolution of the ocean model, the sea surface wind field and the air pressure field need to select products with high resolution as much as possible. Reliable and high-resolution topographic data are very helpful to improve the simulation precision of the overseas area of the fishing harbor.

In the step, a sea surface wind field and an air pressure field of a sea area at the periphery of a target fishing port can be used for setting and starting the business operation of the storm surge-sea wave coupling model to obtain sea wave forecast field data and storm surge forecast field data; and obtaining effective wave height, wave period, wave direction and sea level parameters of a wave-making boundary (boundary forcing) outside the target fishing port in a target time period through two-dimensional linear interpolation according to the sea wave forecast field data and the storm surge forecast field data. The target time period can be set according to actual forecasting requirements, such as a week or 5 days, and a plurality of forecasting time nodes can be set in the target time period; for example, if the target time period is a natural day, and the forecast period of each natural day is T future times, then T target parameter combinations are obtained daily through this step.

S102, screening out a target sea wave effective wave height spatial distribution field in the target fishing port under the target parameter combination from a pre-constructed fishing port sea wave scene database corresponding to the target fishing port.

The fishing port sea wave scene database is obtained by driving a pre-constructed fishing port hydrodynamic model in a target fishing port by a plurality of historical parameter combinations output by the storm surge-sea wave coupling model through simulation; the historical parameter combination is obtained by driving a storm surge-sea wave coupling model through a historical sea surface wind field and a historical air pressure field.

Here, the hydrodynamic model of the target fishing port is constructed by: step 1, extracting a natural bank line, a breakwater and a wharf of the target fishing port from a satellite map or a sea map of the target fishing port, and determining the heights of the breakwater and the wharf of the target fishing port and the type of the natural bank line to obtain topographic data of the target fishing port. And 2, acquiring the water depths of a plurality of position points in the target fishing port, and performing data interpolation according to the water depths of the position points to obtain water depth data in the target fishing port. And 3, setting wave-making boundaries outside the target fishing port and sponge layers on two sides of the wave-making boundaries based on historical sea wave spatial distribution and fishing port position characteristics of the sea area at the periphery of the target fishing port, and generating a configuration file of the calculation grid of the target fishing port by a grid generation tool by combining topographic data of the target fishing port and water depth data in the target fishing port. Step 4, importing the configuration file of the computational grid into an initial hydrodynamic model, and setting model parameters of the initial hydrodynamic model to obtain a hydrodynamic model of the fishing port of the target fishing port; wherein the model parameters include: porosity, reflection coefficient and time step of the hydrodynamic model of the fishing port.

In specific implementation, one of FUNWAVE, MIKE21 and SWASH can be selected as an initial hydrodynamic model to be constructed; for a target fishing port, fine landform data such as a shoreline, a breakwater, a wharf and the like can be extracted from a satellite map or a chart; determining the top elevations of the breakwaters and the wharfs, the slope of the slope type breakwater, the type of a natural shoreline and the like through modes of investigation, field observation and the like to generate topographic data; acquiring refined water depths of a plurality of position points with enough quantity in each place inside and outside the harbor, and performing data interpolation according to the water depths of the position points to obtain water depth data in the target fishing harbor; selecting a proper position of a wave-making boundary (namely boundary forcing) by analyzing the spatial distribution characteristics of sea wave historical data of an overseas area outside a fishing port and the spatial position characteristics of the fishing port, and arranging sponge layers on two sides of the wave-making boundary; generating configuration files of all computational grids (the number of grids is M multiplied by N) by grid generation software SMS and the like, wherein the setting of the spatial resolution needs to meet the requirement that at least 20 grids are contained in the shortest wavelength, and the spatial resolution is generally selected to be 2-5 meters for fishing ports within a range of several kilometers in China; and finally, obtaining the hydrodynamic model of the fishing port by setting various model parameters (porosity, reflection coefficient, time step length and the like) and ensuring the stability of model calculation by debugging.

In one example, the method selects Zhejiang Kanmen fishing port as a target fishing port, extracts fine shoreline and breakwater terrain through a satellite map, sets the spatial resolution of the calculation grid to be 2.5 m after researching information such as the top elevation of the breakwater and the water depth inside and outside the port, and interpolates the water depth data into the calculation grid to obtain a water depth distribution map.

In one possible embodiment, the fishing port sea scenario database is constructed by: step 1, driving the storm surge-sea wave coupling model by using a historical sea surface wind field and a historical air pressure field of the peripheral sea area of the target fishing port, and obtaining a post-reporting field of the historical sea wave parameters and a post-reporting field of the historical storm surge parameters of the peripheral sea area of the target fishing port. And 2, counting to obtain a wave parameter maximum value, a wave parameter minimum value, a storm surge parameter maximum value and a storm surge parameter minimum value in each historical counting period based on the historical wave parameter post-reporting field and the historical storm surge parameter post-reporting field. And 3, determining a resurgence period sea wave parameter and a resurgence period storm surge parameter in a preset resurgence period based on the sea wave parameter maximum value and the storm surge parameter maximum value in each historical statistical period, and respectively determining the resurgence period sea wave parameter and the resurgence period storm surge parameter as a sea wave parameter value upper limit and a storm surge parameter value upper limit at a preset wave boundary in the hydraulic model of the fishing port. And 4, determining the average value of the wave parameter minimum values and the average value of the storm surge parameter minimum values in a plurality of historical statistical periods based on the wave parameter minimum values and the storm surge parameter minimum values in each historical statistical period, and respectively determining the average values of the wave parameter minimum values as the wave parameter value lower limit and the storm surge parameter value lower limit at the preset wave making boundary in the hydraulic model of the fishing port. Step 5, dividing according to the wave parameter value upper limit and the wave parameter value lower limit and obtaining a plurality of test wave parameters according to preset intervals; and according to the upper value limit of the storm surge parameter and the lower value limit of the storm surge parameter, obtaining a plurality of test storm surge parameters by dividing according to preset intervals. And step 5, combining the plurality of test sea wave parameters and the plurality of test storm surge parameters respectively to obtain a plurality of historical parameter combinations consisting of the test sea wave parameters and the test storm surge parameters. And 6, aiming at each historical parameter combination, using the historical parameter combination as a parameter value at the wave-making boundary to drive the hydrodynamic model of the fishing port, and simulating to obtain a fishing port sea wave spatial distribution field when the target fishing port reaches a steady state under the historical parameter combination. And 7, carrying out linear interpolation encryption on the fishing port sea wave spatial distribution field when the stable state is achieved under each historical parameter combination to obtain the fishing port sea wave scene database.

In specific implementation, a storm surge-sea wave coupling model can be driven based on a long-term (such as more than 20 years) and reliable re-analysis or post-reporting historical sea surface wind field and historical air pressure field, long-term post-reporting and post-reporting of historical sea wave parameters and post-reporting of wind storm surge are simulated, and sea wave parameters (effective wave height, wave period and wave direction) and wind storm surge parameters (sea surface water level) of a sea area around a harbor are extracted; according to the method, the annual maximum value of the wave parameters and storm surge parameters is obtained through statistics, and the numerical values of the effective wave height, the wave period and the sea level in the 100-year recurrence period (namely, the wave parameters in the recurrence period and the storm surge parameters in the recurrence period) are obtained through analysis according to a three-parameter Weibull method; and setting the wave parameters and storm surge parameters in the recurrence period as the upper limit of the values of the wave parameters and the sea level at the boundary forcing position in the hydrodynamic model of the fishing port. Meanwhile, annual minimum values of the sea wave parameters and the storm surge parameters can be obtained through statistics, and the annual average value of the annual minimum values is set as the lower limit value of the sea wave parameters and the storm surge parameters.

Because the space difference of the effective wave height is very large, the values of the wave parameters outside the harbor can be greatly different in the fishing harbors in different sea areas, so that the values of the wave parameters and the wind storm surge parameters are set by analyzing the values in the many-year recurrence period, and compared with the method of simply taking values by relying on experience, the reasonability of parameter setting can be improved, and the wave can be forecast more accurately.

Therefore, the simulation precision of sea waves in the fishing port can be improved by adding the sea level parameter of the storm surge to force the hydrodynamic model of the fishing port, particularly under the condition of large influence of the storm surge.

Further, after obtaining the upper value limit and the lower value limit of the sea wave parameter and the storm surge parameter, each parameter can be divided according to a certain interval, and then the historical parameter combination composed of the four parameters under different values is obtained; then, respectively taking each historical parameter combination as the boundary forcing of a hydrodynamic model of the fishing port in the target fishing port, driving the hydrodynamic model of the fishing port, and simulating to obtain a stable spatial distribution field of sea waves of the fishing port under different historical parameter combinations to form an initial database; finally, linear interpolation encryption is carried out on the four parameters to form a fishing port sea wave scene database under the force of the four parameters, and the dimensionality is K ₄ ×M×N，K ₄ The method is a historical parameter combination number of four parameters, and M multiplied by N is the dimension of a fishing port sea wave space distribution field; the database variable is the effective wave height.

Corresponding to the above example, taking zhejiang kan fishing port as an example, under the water level background of 2 meters above the average sea level, which is the average high sea level, and under the circumstances that the effective wave height of the incident wave at the boundary forcing position is 3 meters, the wave direction is 90 degrees, and the wave period is 10 seconds, the spatial distribution field of the effective wave height in the fishing port when the stable state is reached can be simulated, and the data of the effective wave height is a two-dimensional matrix with dimension M × N. Each significant wave height element in the matrix corresponds to a block of sea (one or more grid points of the computational grid) in the fishing port.

Further, step 4 may comprise: the method comprises the following steps of firstly, dividing the effective wave height, the wave period and the wave direction according to respective upper value limit and lower value limit and respective corresponding preset intervals to obtain a plurality of test effective wave heights, a plurality of test wave periods and a plurality of test wave directions. And secondly, determining a preset interval corresponding to the sea level in the target fishing port according to the significance degree of the sea waves in the target fishing port influenced by the storm surge. And thirdly, according to the upper value limit and the lower value limit corresponding to the sea level, dividing the sea level according to the preset interval corresponding to the sea level in the target fishing port to obtain a plurality of test sea levels.

Illustratively, for the effective wave height, the predetermined interval is 0.1-0.5 m and is divided into k according to the upper value limit and the lower value limit of the effective wave height _H An effective waveHigh. For the wave period, according to the upper limit and the lower limit of the wave period, the predetermined interval is 1-2 seconds and is divided into k _T One wave period. For the wave direction, according to the upper value limit and the lower value limit (generally in the range of 0-360 degrees) of the wave direction, the preset interval is 10-30 degrees and is divided into k _D The wave direction. By the method, a plurality of test effective wave heights, a plurality of test wave periods and a plurality of test wave directions are obtained.

Wherein, the significance degree of the influence of storm surge in the target fishing port can be determined by the following modes:

and step A, setting the sea level of the preset wave-making boundary under the strong storm tide, the sea level under the general storm tide and the sea level under the weak storm tide in the hydrodynamic model of the fishing port according to the historical storm tide situation.

In this step, the storm surge parameter at the boundary forcing position can be set to three intensities according to the historical storm surge condition, namely: the average value of the annual maximum storm surge water level is set as the sea level under the strong storm surge, the average value of the annual average storm surge water level is set as the sea level under the general storm surge, and the average value of the annual minimum storm surge water level is set as the sea level under the weak storm surge.

And B, respectively combining the sea level under the strong storm tide, the sea level under the general storm tide and the sea level under the weak storm tide by using fixed sea wave parameters, and respectively taking the combined values as parameter values at the wave generation boundary to drive the hydrodynamic model of the fishing port to obtain a first fishing port sea wave spatial distribution field when the target fishing port reaches a steady state under the strong storm tide, a second fishing port sea wave spatial distribution field when the general storm tide reaches the steady state and a third fishing port sea wave spatial distribution field when the general storm tide reaches the steady state in the weak storm tide in a simulation manner.

In the step, the wave parameters at the wave-making boundary can be set as fixed values; respectively combining the sea level under a strong storm surge, the sea level under a general storm surge and the sea level under a weak storm surge by using fixed sea wave parameters to obtain three parameter combinations under storm surge strength; then in three storm surgeUnder the strength, simulating and obtaining a first fishing port sea wave space distribution field H of the effective wave height of the sea wave in the port in a stable state by using a fishing port hydrodynamic model _h Sea wave spatial distribution field H of second fishing port _m And a wave space distribution field H of a third fishing port _l 。

And step C, determining a wave difference value space distribution field between the first fishing port wave space distribution field and the third fishing port wave space distribution field, and determining a significance coefficient space distribution field according to the ratio of the wave difference value space distribution field to the second fishing port wave space distribution field.

In the step, an absolute value is obtained after the difference is made between the effective wave heights of the corresponding positions of the first fishing port sea wave spatial distribution field and the third fishing port sea wave spatial distribution field, the absolute value is divided by the effective wave heights of the corresponding positions of the second fishing port sea wave spatial distribution field to obtain the significance coefficients of the corresponding positions, and then the significance coefficients of the corresponding positions construct the significance coefficient spatial distribution field of the target fishing port. The data of the sea wave spatial distribution field of the fishing port is represented as a matrix, each element in the matrix corresponds to one sea area in the target fishing port, namely a calculation grid, and the value of each element represents the effective wave height of the corresponding sea area. When calculating, the calculation formula of each significant coefficient spatial distribution field S can be expressed as:

and D, determining the space average significance coefficient of the target fishing port according to the significance coefficient space distribution field.

In the step, elements at each position in a significance coefficient spatial distribution field (data is expressed as a matrix, each element in the matrix corresponds to a sea area in the target fishing port, namely a computational grid, and the value of each element represents the significance coefficient of the corresponding sea area) are summed and averaged to obtain a spatial average significance coefficient of the target fishing port.

And E, determining the significance degree of the sea waves in the target fishing port influenced by the storm surge according to the space average significance coefficient and a preset coefficient value interval.

Wherein, different values of the spatial average significance coefficient represent significance of different degrees (namely the sensitivity of the seawaves in the fishing port affected by storm surge), and the value of the spatial average significance coefficient is positively correlated with the significance of the seawaves in the target fishing port affected by storm surge. Illustratively, the coefficient value intervals of the spatial average significance coefficient can be uniformly divided according to three significance degrees of insignificant influence, significant influence and very significant influence, as shown in table 1 below.

TABLE 1 comparison table of space average significance coefficient and significance degree

Further, after the significance degree of the sea waves in the target fishing port, which are affected by the storm surge, is determined, the sea levels in the target fishing port can be divided according to the upper value limit and the lower value limit corresponding to the sea level and the preset interval of the sea level corresponding to the significance degree, so that a plurality of test sea levels are obtained; for example, in a fishing port having a significant effect on storm surge, a predetermined interval of 0.5 to 1 meter may be set to divide k _W The water level of the sea surface; the fishing port with obvious influence on storm surge can be set to divide k by 0.1-0.5 m _W And finally obtaining a plurality of test sea levels.

Therefore, in step S102, a historical parameter combination closest to the target parameter combination can be screened from the fishing port sea wave scenario database, and a sea wave effective wave height spatial distribution field corresponding to the historical parameter combination in the fishing port sea wave scenario database is used as a target sea wave effective wave height spatial distribution field, and the prediction element is the sea wave effective wave height. Correspondingly, the dimension of the daily fishing port sea wave forecast data is T multiplied by M multiplied by N, namely the forecast of the fishing port sea wave effective wave height spatial distribution field at T future moments, so that the business fishing port sea wave forecast is realized.

S103, constructing a fishing port sea wave early warning product of the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field.

The fishing port sea wave early warning product is used for early warning the severity of sea waves in the target fishing port and/or the wave avoiding capacity of the target fishing port in the target time period.

In one possible implementation, step S103 may include: and S1031, setting a target position point in the target fishing port. S1032, determining the effective wave height of the sea wave at the target position point in the target time period through data interpolation based on the target effective wave height spatial distribution field. S1033, constructing a fishing port sea wave early warning product of the target position point of the target fishing port in the target time period based on the sea wave effective wave height of the target position point, the annual recurrence period value of the sea wave effective wave height corresponding to the target position point and the historical percentile numerical value of the sea wave effective wave height. The seawave early warning product for the fishing port is used for early warning the historical relative severity of seawaves in the target fishing port in the target time period.

Here, long-term historical external forcing data can be formed based on the historical sea wave parameters and storm tide parameters outside the harbor, and then according to the method for forecasting the sea waves of the fishing harbor in the step S102, a long-term historical post-reporting field of the effective wave height of the sea waves in the harbor is obtained; determining a plurality of historical effective wave heights on each grid point in the target fishing port based on post-reporting of the effective wave heights of seawaves in the port, arranging the plurality of historical effective wave heights in an ascending order, and counting the percentile values of the wave heights; illustratively, the annual 90% quantile value is counted, which means that the annual average 90% of the situation is smaller than the effective wave height of the seawaves in the harbor, and the annual 50% quantile value is the same, so that a 50% and 90% quantile value database of the effective wave height of the seawaves in the harbor is formed.

In addition, based on a plurality of historical effective wave heights on each grid point in the target fishing port, the annual maximum value of the historical effective wave heights can be counted, and the annual recurrence period value of the sea wave effective wave heights corresponding to each grid point is obtained through analysis according to a three-parameter Weibull method, so that a recurrence period data base of the effective wave heights in the port is formed.

Referring to fig. 2 (a) and 2 (b), fig. 2 (a) and 2 (b) are schematic diagrams of a seawave warning product for a fishing port according to an embodiment of the present disclosure. As shown in fig. 2 (a) and 2 (b), two typical positions of the zhejiang kan fishing port, namely the oromen area and the east wharf area, are selected as target position points, and the effective wave height recurrence period value and the percentile value of 2 to 100 years are obtained through analysis. And for the wave process caused by typhoon No. 4 'blackcurry' (typhoon grade) in 2020, a business forecast value, a quantile value and a recurrence period value of effective wave height are adopted to manufacture an early warning product. Wherein, the effective wave height of the portal area is 3.5 meters at most, the effective wave height is far more than 90% quantile value 1.2 meters in a year, and the effective wave height is also more than the recurrence period value of 2 years, which means that the intensity of the wave process is far more than 90% in a year, and the severity is also more than the level of 2 years.

In another possible implementation, step S103 may further include: s1034, determining the proportion of the effective wave avoiding area in the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field; the effective wave avoiding area in the target fishing port is a fishing port area, wherein the effective wave height in the target fishing port is smaller than a preset height threshold value, and the ratio of the effective wave height in the target fishing port to the effective wave height at a preset wave making boundary outside the target fishing port is smaller than a preset ratio threshold value. S1035, constructing a fishing port sea wave early warning product of the target fishing port in the target time period according to the proportion of the effective wave avoiding area in the target fishing port in the target time period and a reference value for judging whether the preset wave avoiding area is lacked. The fishing port sea wave early warning product is used for early warning effective wave avoiding capacity provided by a target fishing port in the target time period.

In specific implementation, according to a double-screening condition that the effective wave height in the target fishing port is smaller than a preset height threshold and the ratio of the effective wave height to the effective wave height at a preset wave making boundary outside the target fishing port is smaller than a preset ratio threshold, a calculation grid meeting the double-screening condition in the gridded target fishing port, namely an effective wave avoiding area, can be screened out on the basis of a target sea wave effective wave height spatial distribution field; and determining the ratio of the number of the grids of the calculation grids meeting the double screening conditions to the total number of the grids of the target fishing port as the ratio of the effective wave-avoiding area in the target fishing port in the target time period.

The preset height threshold, the preset ratio threshold and the reference value for judging whether the preset wave avoiding area is lacked or not can be specifically set according to the early warning service requirement, the types of common ships in the fishing port and the wave avoiding performance; illustratively, the effective wave avoiding zone can be defined as an in-harbor water area in the target fishing harbor which meets the dual conditions that the effective wave height is less than 1.0 m and the shielding effect coefficient (the ratio of the effective wave height in the target fishing harbor to the effective wave height at the preset wave boundary outside the target fishing harbor) is less than 0.6; here, the types and wave-avoiding performance of common ships in the fishing port can also be investigated, effective wave height data of all ships for safely avoiding waves are counted, accumulated percentiles arranged from small to large are calculated, and the effective wave height of a 90% quantile numerical value every year is used as a threshold value for effectively avoiding waves, namely, more than 90% of the ships can be safely moored under the threshold value. In addition, a forecasting curve graph of the change of the proportion of the effective wave-avoiding area along with the time is drawn, and 30 percent (the effective wave-avoiding area is seriously lacked) and 60 percent (the effective wave-avoiding area is lacked) of early warning lines are set, wherein the 30 percent of early warning lines indicate that only 30 percent of the area of a water area in the harbor can safely avoid waves and the effective wave-avoiding area is seriously lacked; the 60% early warning line shows that 60% of the water area in the harbor can safely avoid waves, and effectively avoid wave zones from being lacked. The fishing port management department can reasonably arrange a corresponding number of fishing boats for entering the port and avoiding waves according to the proportion of the effective wave avoiding area.

Referring to fig. 3, fig. 3 is a second schematic diagram of a seawave warning product for a fishing port according to an embodiment of the present disclosure. For the wave process influenced by typhoon "blackcase ratio" (typhoon level) No. 4 in 2020 in Zhejiang kangmen fishing port, the early warning product for the effective wave-avoiding area is manufactured as shown in fig. 3, and the product prompts that the effective wave-avoiding area accounts for 52% at least in 3 days of 8 months, the wave-avoiding area is lack, and only a corresponding number of ships can be accommodated for safely avoiding waves when entering the port.

The early warning method of seawaves in fishing port provided by the embodiment of the application comprises the following steps: driving a pre-constructed storm surge-sea wave coupling model corresponding to the peripheral sea area of the target fishing port by using the sea surface wind field and the air pressure field of the peripheral sea area of the target fishing port, and simulating a target parameter combination of a wave generation boundary in a target time period, wherein the wave generation boundary is preset in the peripheral sea area of the target fishing port; wherein the target parameter combination comprises a target sea wave parameter and a target storm surge parameter; screening out a target sea wave effective wave height spatial distribution field in a target fishing port under the target parameter combination from a pre-constructed fishing port sea wave scene database corresponding to the target fishing port; the fishing port sea wave scene database is obtained by driving a pre-constructed fishing port hydrodynamic model in a target fishing port by a plurality of historical parameter combinations output by the storm surge-sea wave coupling model through simulation; constructing a fishing port sea wave early warning product of the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field; the fishing port sea wave early warning product is used for early warning the severity of sea waves in the target fishing port and/or the wave avoiding capacity of the target fishing port in the target time period.

By the method, the wave height spatial distribution field of the effective waves in the fishing port can be forecasted based on the wave parameters and storm surge parameters obtained by the storm surge-wave coupling model, and further a fishing port wave early warning product is constructed to perform wave early warning; therefore, by considering the influence of storm surge on the sea waves, more accurate space forecast of the sea waves in the fishing port can be realized; the fishing port sea wave early warning product can fully and effectively early warn the severity of the fishing port sea waves and provide important reference for the fishing port management department and fishery personnel.

Referring to fig. 4, fig. 4 is a schematic structural diagram of an early warning device for seawaves in a fishing port according to an embodiment of the present disclosure, where the early warning device 400 includes:

the simulation module 410 is used for driving a pre-constructed storm surge-sea wave coupling model corresponding to the sea area at the periphery of the target fishing port by using the sea surface wind field and the air pressure field of the sea area at the periphery of the target fishing port, and simulating a target parameter combination of a preset wave generation boundary in the sea area at the periphery of the target fishing port within a target time period; wherein the target parameter combination comprises a target sea wave parameter and a target storm surge parameter;

the screening module 420 is used for screening out a target sea wave effective wave height spatial distribution field in the target fishing port under the target parameter combination from a pre-constructed fishing port sea wave scene database corresponding to the target fishing port; the fishing port sea wave scene database is obtained by driving a pre-constructed fishing port hydrodynamic model in a target fishing port by a plurality of historical parameter combinations output by the storm surge-sea wave coupling model through simulation;

the early warning module 430 is used for constructing a fishing port wave early warning product of the target fishing port in the target time period based on the target sea wave effective wave height spatial distribution field; the fishing port sea wave early warning product is used for early warning the severity of sea waves in the target fishing port and/or the wave avoiding capacity of the target fishing port in the target time period.

Further, the early warning device further comprises: a first building block; the first construction module is used for constructing the fishing port sea wave scene database in the following way:

driving the storm surge-sea wave coupling model by using a historical sea surface wind field and a historical air pressure field of the peripheral sea area of the target fishing port, and reporting the historical sea wave parameters of the peripheral sea area of the target fishing port and reporting the historical storm surge parameters;

determining an average value of the wave parameter minimum values and an average value of the storm surge parameter minimum values in a plurality of historical statistical periods based on the wave parameter minimum values and the storm surge parameter minimum values in each historical statistical period, and respectively determining the average values of the wave parameter minimum values as a wave parameter value lower limit and a storm surge parameter value lower limit at a preset wave boundary in the hydraulic model of the fishing port;

Further, the sea wave parameters comprise effective wave height, wave period and wave direction; the storm surge parameters comprise sea surface water level; the first construction module is used for obtaining a plurality of test sea wave parameters by dividing according to a preset interval according to the sea wave parameter value upper limit and the sea wave parameter value lower limit; and when a plurality of test storm surge parameters are obtained by dividing according to the upper limit of the storm surge parameter value and the lower limit of the storm surge parameter value and according to a preset interval, the first construction module is used for:

Further, the first construction module is used for determining the significance degree of the sea waves in the target fishing port influenced by the storm surge by the following means:

according to the historical storm surge condition, setting the sea level of a preset wave-making boundary under a strong storm surge, the sea level under a general storm surge and the sea level under a weak storm surge in the fishing port hydrodynamic model;

respectively combining the sea level under a strong storm tide, the sea level under a general storm tide and the sea level under a weak storm tide by using fixed sea wave parameters, and respectively taking the combined values as parameter values at the wave generation boundary to drive the hydrodynamic model of the fishing port, so as to obtain a first fishing port sea wave spatial distribution field when the target fishing port reaches a steady state under the strong storm tide, a second fishing port sea wave spatial distribution field when the target fishing port reaches the steady state under the general storm tide and a third fishing port sea wave spatial distribution field when the target fishing port reaches the steady state under the weak storm tide in a simulation manner;

Further, when the early warning module 430 is configured to construct a fishing port sea wave early warning product for a target fishing port in the target time period based on the target sea wave significant wave height spatial distribution field, the early warning module 430 is configured to:

setting a target position point in the target fishing port;

determining the effective wave height of the sea wave of the target position point in the target time period through data interpolation based on a target effective wave height spatial distribution field of the sea wave;

constructing a fishing port sea wave early warning product of the target position point of the target fishing port in the target time period based on the sea wave effective wave height of the target position point, the multi-year recurrence period value of the sea wave effective wave height corresponding to the target position point and the historical percentile numerical value of the sea wave effective wave height; the seawave early warning product for the fishing port is used for early warning the historical relative severity of seawaves in the target fishing port in the target time period.

Further, when the early warning module 430 is configured to construct a fishing port sea wave early warning product for a target fishing port in the target time period based on the target sea wave significant wave height spatial distribution field, the early warning module 430 is further configured to:

constructing a fishing port sea wave early warning product of the target fishing port in the target time period according to the proportion of the effective wave avoiding area in the target fishing port in the target time period and a reference value for judging whether the preset wave avoiding area is lacked; the seawave early warning product for the fishing port is used for early warning the effective wave avoiding capacity provided by the target fishing port in the target time period.

Further, the early warning device further comprises a second construction module; the second construction module is used for constructing the hydrodynamic model of the target fishing port by the following method:

extracting a natural shoreline, a breakwater and a wharf of the target fishing port from a satellite map or a sea map of the target fishing port, and determining the heights of the breakwater and the wharf of the target fishing port and the type of the natural shoreline to obtain topographic data of the target fishing port;

importing the configuration file of the computational grid into an initial hydrodynamic model, and setting model parameters of the initial hydrodynamic model to obtain a hydrodynamic model of the fishing port of the target fishing port; wherein the model parameters include: porosity, reflection coefficient and time step of the hydrodynamic model of the fishing port.

Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.

The memory 520 stores machine-readable instructions executable by the processor 510, when the electronic device 500 runs, the processor 510 communicates with the memory 520 through a bus 530, and when the machine-readable instructions are executed by the processor 510, the steps of the method for warning seawaves in a fishing port may be performed as in the method embodiments shown in fig. 1 to 3.

An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for warning of seawaves in a fishing port in the method embodiments shown in fig. 1 to 3 may be executed.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some communication interfaces, indirect coupling or communication connection between devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A pre-warning method for seawaves in a fishing port is characterized by comprising the following steps:

driving a pre-constructed storm surge-sea wave coupling model corresponding to the peripheral sea area of the target fishing port by using a sea surface wind field and an air pressure field of the peripheral sea area of the target fishing port, and simulating a target parameter combination of a preset wave generation boundary in the peripheral sea area of the target fishing port in a target time period; the target parameter combination comprises a target sea wave parameter and a target storm surge parameter;

2. The early warning method as claimed in claim 1, wherein the seaport wave scenario database is constructed by:

3. The warning method of claim 2, wherein the wave parameters include effective wave height, wave period, and wave direction; the storm surge parameters comprise sea level; dividing the sea wave parameter according to the upper sea wave parameter value limit and the lower sea wave parameter value limit to obtain a plurality of test sea wave parameters at preset intervals; and according to the storm surge parameter value upper limit and the storm surge parameter value lower limit, obtaining a plurality of test storm surge parameters by dividing according to a preset interval, comprising:

and according to the upper value limit and the lower value limit corresponding to the sea level, dividing according to the preset interval corresponding to the sea level in the target fishing port to obtain a plurality of test sea levels.

4. The warning method of claim 3, wherein the degree of significance of the storm surge in the target fishing port is determined by:

determining a wave difference value spatial distribution field between the first fishing port wave spatial distribution field and the third fishing port wave spatial distribution field, and determining a significance coefficient spatial distribution field according to the ratio of the wave difference value spatial distribution field to the second fishing port wave spatial distribution field;

5. The warning method as claimed in claim 1, wherein the constructing a fishing port wave warning product for a target fishing port in the target time period based on the target wave significant wave height spatial distribution field comprises:

setting a target position point in the target fishing port;

6. The warning method according to claim 1, wherein the constructing of the fishing port wave warning products for the target fishing port in the target time period based on the target wave significant wave height spatial distribution field further comprises:

7. The warning method as claimed in claim 1 wherein the hydrodynamic model of the target fishing port is constructed by:

setting a wave making boundary outside a target fishing port and sponge layers on two sides of the wave making boundary based on the historical sea wave data spatial distribution and fishing port position characteristics of the sea area at the periphery of the target fishing port, and generating a configuration file of a calculation grid of the target fishing port by a grid generation tool by combining the topographic data of the target fishing port and the water depth data in the target fishing port;

8. An early warning device of seawaves in a fishing port, characterized in that the early warning device comprises:

the screening module is used for screening a target sea wave effective wave height spatial distribution field in the target fishing port under the target parameter combination from a pre-constructed fishing port sea wave scene database corresponding to the target fishing port; the fishing port sea wave scene database is obtained by driving a pre-constructed fishing port hydrodynamic model in a target fishing port by a plurality of historical parameter combinations output by the storm surge-sea wave coupling model through simulation;

9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operated, the machine readable instructions when executed by the processor performing the steps of a method of forewarning of seaport waves as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of a method of warning of seaport waves as claimed in any one of claims 1 to 7.