40 results about "Storm surge" patented technology

The invention discloses a storm surge water increase prediction method and device, electronic equipment and a storage medium, and relates to the technical field of seawater monitoring, and the method comprises the steps: obtaining multi-source observation data of a target sea area, the multi-source observation data comprising satellite remote sensing data, near-shore monitoring data, meteorological mode data and drainage basin data; performing space-time alignment and exception processing on the multi-source observation data to generate standardized space-time grid data; performing hybrid prediction modeling on the standardized space-time grid data through a physical data dual-drive modeling layer to obtain a target probability water increasing field; and dynamically correcting the target probability water increasing field by using real-time observation data to obtain a storm surge water increasing predicted value. A physical mechanism model and a probability generation model are combined, limitation of a single model is overcome, and the nonlinear evolution process of the storm surge is effectively captured; the time-space dual-drive architecture is adapted to complex coast terrains and changeable meteorological conditions, and the risk of missing report or false report is reduced.

The invention discloses a near-shore wave-flow field-sediment coupling simulation method considering a wave breaking nonlinear effect, and belongs to the field of near-shore hydrodynamics, and the method comprises the steps: inputting WRF high-resolution wind field, tide boundary conditions and water depth information, and initializing a wave module, a flow field module and a sediment module; calculating local wave breaking dissipated energy by adopting an improved wave breaking energy dissipation formula to obtain a wave energy density spectrum and a breaking probability; a near-shore flow field is calculated under radiation stress nonlinear correction, and hydrodynamic boundary conditions are updated; calculating sediment suspension and deposition by using a coupling diffusion coefficient, and updating sediment concentration distribution; waves, flow fields and sediment are mutually coupled through loop iteration, and coastal wave-flow field-sediment simulation is achieved under extreme conditions such as typhoons, storm surge and strong storm waves. The method can improve the prediction precision of the wave height, the flow velocity and the sediment concentration under the condition of offshore strong storm waves, and is used for typhoon storm surge prediction, harbor basin deposition evaluation and offshore ecological environment management.

The invention discloses a storm surge nearshore disaster identification method, device and equipment fused with a typhoon dynamic influence domain, a medium and a product, and relates to the technical field of meteorological disaster monitoring. The method comprises the following steps: acquiring a meteorological ocean reanalysis data set in a historical set age limit of a target area, and preprocessing multi-source data; then background field elimination processing is carried out; determining a dynamic influence radius based on the typhoon intensity grade and the storm surge abnormal data; determining the center position of the typhoon according to the dynamic influence radius, and generating a typhoon dynamic influence domain space mask by adopting a spherical distance calculation method; a near-shore buffer area is determined according to the typhoon dynamic influence domain space mask, and a storm surge disaster area is determined based on a near-shore buffer area constraint and water increase threshold value judgment method; and carrying out storm surge near-shore disaster identification on the basis of the storm surge disaster area by adopting a geographic space visualization method to obtain an identification result. According to the invention, accurate storm surge disaster discrimination can be realized.

The invention provides an urban storm surge forecasting method based on multi-source information coupling, and the method comprises the steps: taking multi-source typhoon driving element data as the input information of a preset typhoon structure reconstruction model, and outputting typhoon key physical parameters through the typhoon structure reconstruction model; based on a Kriging interpolation and radial basis function mixing method, carrying out fusion processing on the multi-source topographic data, and constructing topographic grid information; extracting tide harmonic constants of a specified number of partial tides from the multi-source tide factor data; based on the typhoon key physical parameters, the terrain grid information and the tide harmonic constants, determining input information of a predetermined urban storm surge forecasting model; and outputting a storm surge level abnormal value and a horizontal flow velocity component corresponding to the multi-source prediction associated data through the urban storm surge prediction model. According to the scheme, the precision of urban storm surge forecasting is improved.

The invention provides a Bohai sea temperature prediction model based on a fusion model, the previous research mainly carries out prediction through single models, and the single models have corresponding limitations more or less. In order to solve the problem, a Bohai sea temperature prediction model based on a fusion model is provided. According to the method, through fusion of an Informer model and an LSTM model, and through feature optimization and XGBoost correction, the model obtains better prediction performance. According to the model, the prediction precision of the sea surface temperature of the semi-closed sea area is improved, and high-reliability data support is provided for ocean decisions such as storm surge early warning, fishing ground scheduling and ecological management.

The invention discloses a buoy attitude self-adaptive wind wave calibration method for a typhoon landing path sea area, and relates to the field of ocean monitoring, and the method comprises the steps: obtaining attitude information, original wave height information and wind speed and direction information of a target buoy through a six-degree-of-freedom IMU, a micropressure array wave height meter and a three-axis ultrasonic wind speed sensor carried by the target buoy; compensating the original wave height information based on the attitude information and the wind speed and direction information to obtain compensated wave height information; based on remote sensing inversion data, a storm surge numerical forecasting model or historical tide level data, obtaining a storm surge lifting height of the current area, and taking the storm surge lifting height as a zero drift error of the micropressure array wave height meter; and outputting target wave height data based on the zero drift error and the compensated wave height information. According to the calibration mechanism of fusion compensation and multi-source correction provided by the method, the adaptability and practicability of a traditional buoy system under extreme meteorological conditions are remarkably improved.

The invention discloses a storm surge coupling numerical simulation method and system based on climate change, and relates to the technical field of numerical simulation, and the method comprises the steps: determining the size of a regional grid according to a pre-obtained regional feature, and carrying out the data reconstruction processing of the obtained heterogeneous spatial data based on the size of the regional grid, and obtaining a comprehensive heterogeneous data set; constructing a comprehensive heterogeneous model, performing model coupling to obtain a comprehensive coupling model, and performing friction coefficient adjustment to obtain a storm surge coupling numerical simulation model; performing storm surge simulation on the comprehensive observation data acquired in real time, and evaluating and optimizing the storm surge coupling numerical simulation model to obtain a storm surge simulation model for storm surge coupling numerical simulation under climate change. Through the comprehensive coupling model, the limitation of traditional single water adding simulation is broken through, and the simulation capacity of extreme water level, offshore water adding and composite disaster processes is remarkably improved.

The invention discloses a near-shore disaster-bearing body disaster-causing path tracing method based on a digital-analog experiment, and relates to the technical field of ocean dynamic disaster simulation, the near-shore disaster-bearing body disaster-causing path tracing method comprises the following steps: determining ocean dynamic disaster characteristics of a near-shore research area, integrating multi-source historical disaster data, real-time monitoring data and disaster-bearing body background data, and constructing a time-space association database; and based on a three-dimensional ocean and third-generation ocean wave mode, an offshore storm surge-ocean wave coupling numerical mode is established and verified. According to the method, a storm surge-sea wave coupling numerical mode is constructed, multi-disaster-type nonlinear interaction is comprehensively considered, an energy conservation equation is introduced to quantify generation, transmission and dissipation processes of disaster energy, limitation of a traditional single-disaster-type linear model is solved, real-time feedback of a disaster-bearing body three-dimensional dynamic model is combined, and the disaster-bearing body three-dimensional dynamic model is optimized. A closed energy-damage association mechanism is formed, the tracing accuracy of a disaster chain type propagation path is remarkably improved, and it is ensured that recognition of key nodes and dominant paths better conforms to physical reality.

This invention belongs to the field of coastal engineering and ecological restoration technology. It discloses a method for optimizing the design of beach ecological restoration trenches based on hydrodynamic simulation. The method includes: collecting beach hydrological datasets, topographic datasets, and ecological datasets, and preprocessing them. The hydrological dataset includes wave data, tidal current data, storm surge data, and sediment transport data. The topographic dataset includes shoreline slope, beach elevation, underwater topography data, and sediment source storage data. The ecological dataset includes tidal flat vegetation distribution, benthic organism density, ecologically sensitive area range, and water environment quality data. This invention, through the coupled processing of hydrological, topographic, and ecological multi-source datasets, obtains hydraulic reference values ​​and topographic adaptation values ​​for the trench, directly reflecting the regional dynamic conditions and the degree of topographic adaptation, significantly reducing the workload of manual calculation and trial and error.

The invention discloses a wave impact resistance structure optimization method for a near-shore high-piled wharf of a port. The method comprises the following steps: firstly, based on historical observation and reanalysis data, carrying out conditional sampling according to a significant wave height, a peak period, an incidence direction, storm surge, a long-period energy ratio and a water depth, and obtaining a sea condition sample set covering a design quantile; secondly, building a high-pile wharf parameterized geometry and working condition model; and finally, performing high-fidelity full-sample regression verification on the candidate solution to form a design result document including design variables, sea condition coverage domains, robustness indexes and key response statistics. According to the method, high reliability and high efficiency are unified, and the method is suitable for wave impact resistance design and engineering implementation of the near-shore long-piled wharf.

A storm surge intelligent forecasting method integrating causal structure and graph neural network, relating to the fields of artificial intelligence and marine storm surge forecasting technology, includes: Step 1. Multi-source data fusion; Step 2. Data preprocessing and standardization; Step 3. Using UNet-LSTM to achieve fusion modeling of storm surge meteorological spatiotemporal characteristics and water level temporal characteristics; Step 4. Causal structure inference and graph structure learning; Step 5. Using graph convolutional neural network to obtain a UNet-LSTM-DGCN combined model for final storm surge water level forecasting; Step 6. Combined model training and validation; Step 7. Visualization of prediction results; Step 8. Interpretability analysis. This invention constructs an intelligent method combining dynamic graph neural networks for storm surge forecasting, effectively capturing the dynamic causal relationships in water level changes at multiple stations under the influence of typhoons. While improving forecast accuracy, it reveals the decision-making basis within the model through visualized graph structures.

The invention discloses a comprehensive evaluation method and system for offshore sea conditions, and relates to the technical field of marine hydrology and marine wind energy resource utilization. The method comprises the steps of obtaining an initial data set of a wind field, a shoreline, water depth and a tide level of a sea area to be researched, and generating a prediction data set through a hydrodynamic force and wave bidirectional coupling numerical model; a hierarchical hyper-parameter optimization strategy is adopted to carry out iterative adjustment on model parameters, and the relative error is controlled within 5% in combination with measured data; and fusing a typhoon field and a background wind field to generate extreme working condition data, carrying out comprehensive analysis on characteristic parameters of tides, waves, tidal currents and storm surge on prediction data output by the model, and generating a sea condition comprehensive evaluation report. According to the method, the model parameter calibration efficiency and simulation precision are improved, the survey cost of offshore sea condition evaluation is reduced, and the method can be widely applied to site selection and feasibility analysis of offshore engineering such as offshore wind power and port construction.

The invention discloses a disaster risk assessment method, system and device suitable for an offshore wind plant, and relates to the technical field of engineering, and the method comprises the steps: collecting long-term offshore disaster data, extracting typhoon, wave, storm surge, salt mist and other core parameters, and calculating a correlation coefficient between disasters to quantify a synergistic effect; typhoon wave collaborative loss, storm surge loss and salt spray corrosion loss models are established, and refined quantification of multi-disaster influences is achieved; various risk indexes are fused in a weighting mode to generate an offshore comprehensive risk index, and differentiated protection measures are matched according to risk levels. According to the method, the strong relevance and environmental particularity of the offshore disaster are fully considered, the accuracy of risk assessment and the scientificity of decision making are improved, and the safety and economy of the offshore wind power system are enhanced.

This invention provides a method, apparatus, and equipment for predicting storm surge hazard level parameters for typhoons, relating to the field of storm surge data processing. The method includes: acquiring target characteristic parameters of the current typhoon in the target area and a preset storm surge intensity level index comparison table for the target area; inputting the target characteristic parameters into a preset storm surge prediction model, and outputting prediction results through the preset storm surge prediction model; wherein the preset storm surge prediction model is determined using multiple sets of historical typhoon data for the current target area; and determining the hazard level parameters of the current storm surge in the current target area based on the prediction results and the preset storm surge intensity level index comparison table for the target area. The solution of this invention achieves real-time prediction of storm surge hazard level parameters for the current area under extreme environments, and has the advantages of fast prediction speed and easy interpretation of prediction results.

To provide an estimation and control method for frequency errors of extreme events.SOLUTION: The present invention proposes a frequency shift functional and a frequency shift functional estimation formula based on probability estimation, and constructs a method for reversely solving a confidence frequency shift value epsilon according to the frequency shift functional to improve a frequency distribution function. The present invention is suitable for estimating and controlling errors of occurrence frequency prediction of extreme events in various frequency statistical models by using hydrological observation data under probability statistical significance, so that the prediction accuracy and reliability of hydrological extreme events such as storm surge, rainstorm flood, tsunami, and the like are improved, risks caused by extreme natural disasters are reduced, and loss of life and property that may be caused is reduced.SELECTED DRAWING: Figure 1

The utility model discloses a marine ranching coral reef typhoon -resistant reinforcing structure and ecological barrier system relates to marine ranching technical field, including coral reef pedestal and reinforcing component, the coral reef pedestal is integrated into one piece structure, and the surface of coral reef pedestal is provided with the cylindrical containing groove, the reinforcing component sets up at the surface of coral reef pedestal, and reinforcing component includes oyster shell composite layer, reinforcing threaded drill rod, bottom fixed drill, fixed bottom plate and spiral reinforcing drill. The utility model discloses a marine ranching coral reef typhoon -resistant reinforcing structure and ecological barrier system, through reinforcing component makes the device enhanced the stability of coral reef, and the typhoon -resistant performance improves, can enhance the stability of ecological barrier, provides the lasting habitat for fish and resists the sea wave erosion, through the degradable polymer grid, the connecting plate, the fixed drill rod and the barrier component make the device can provide the biological habitat for marine ranching, purify water quality and resist the storm surge impact, so as to be convenient for maintaining ranching ecological balance and productivity.

The invention relates to the field of numerical simulation optimization, in particular to a marine ranch-oriented storm surge disaster numerical simulation optimization method. The method comprises the steps that the boundary and the initial still water level of a marine ranch are obtained, the geographic space of the marine ranch is discretized into a rectangular grid layout, meteorological grid point data of the marine ranch are obtained, the total water level increment is calculated through a wind pressure wind field physical driving water level increment calculation algorithm, and the updated water level is obtained; and based on the updated water level, introducing a similarity weight mechanism of storm path projection, performing local enhancement correction on a water level field in storm surge simulation to obtain a water level after weight correction, and outputting a water level spatial distribution map. The problem that most of traditional storm surge disaster numerical simulation optimization methods neglect the dynamic adjustment effect of wind speed changes on sea surface roughness and wind resistance is solved; the effect of'inverted barometer 'is neglected, and air pressure change cannot be dynamically responded; and the regulation and control effect of geographic space factors on the simulated water level field cannot be accurately reflected.

This invention discloses a marine disaster early warning method and system based on an AI model specifically designed for surveying. The invention embeds the KdV equation for internal solitary waves as a constraint into the model using a physical information neural network, giving it physical interpretability and enabling accurate reconstruction of the flow field based solely on sparse observations. The method transforms water acoustic echo data and shipborne inertial measurement unit attitude data into effective inputs, achieving perception of internal wave structure and sea surface wave spectrum without increasing hardware costs. The system utilizes Transformer-based multimodal fusion technology to correct satellite cloud image features using meteorological forecast data, significantly improving the reliability of typhoon and storm surge predictions. Ultimately, high-precision environmental perception is translated into customized operational decisions, filling the gap in general meteorological navigation for engineering protection and effectively ensuring the safety of surveying equipment and the project schedule.

The invention provides a storm surge intensity influence area automatic identification method and system and a medium, and relates to the technical field of disaster emergency response, and the method comprises the steps: collecting storm surge correlation influence data, carrying out intensity influence analysis, and constructing a storm surge intensity influence factor set; performing classification training fusion on the historical storm surge event samples to generate a storm surge intensity influence grade discriminator; carrying out twinborn fusion to obtain a storm surge intensity prediction agent; performing water level prediction simulation to generate a multi-dimensional storm surge intensity field; and carrying out clustering analysis and geographical matching identification, outputting a spatial distribution diagram of the intensity influence region, and carrying out storm surge early warning and forecasting. The technical problem that the reliability and accuracy of an identification result are insufficient due to the fact that storm surge intensity influence area identification in the prior art often depends on a simple numerical simulation model or only uses a single storm surge influence factor and cannot flexibly adapt to complex marine environment changes is solved.

The invention discloses a storm surge probability forecasting method, device, equipment, medium and product, and relates to the field of disaster early warning, and the method comprises the steps: obtaining typhoon metadata and marine environment parameters; performing space-time alignment and screening on the typhoon metadata and the marine environment parameters to obtain a feature matrix and a typhoon influence area; predicting by utilizing a probability prediction model according to the feature matrix to obtain a storm surge prediction result; constructing a typhoon intensity fitting mask according to the typhoon metadata and the typhoon influence area; constructing a near-shore mask according to the typhoon influence area; determining a final mask according to the near-shore mask and the typhoon intensity trial mask; and determining a final prediction result according to the storm surge prediction result and the final mask. The accuracy of storm surge prediction can be improved.

The utility model discloses a height-adjustable wave wall structure capable of installing handrails, which comprises a plurality of wave wall units, the plurality of wave wall units are sequentially inserted and fixedly connected along the height direction of a wave wall, a wave wall installation groove is arranged on a levee top used for installing the wave wall, and the bottommost wave wall unit is inserted in the wave wall installation groove; and a handrail is detachably connected in the topmost wave-resistant unit. By designing a plurality of wave-resistant units, the height of the wave-resistant wall is adjustable, the height can be adjusted in real time according to changes of tides, storm surges or flood levels, and excessive redundancy of a wall body with a fixed height at a low water level or insufficient protection at a high water level is avoided. Temporary heightening can be achieved in extreme events such as typhoon and rainstorm, and the protection capacity is enhanced; the height is reduced at ordinary times, and the influence on landscape or ecology is reduced.

The application discloses a kind of multi-algorithm fusion cyclone similarity identification method and storm surge forecasting method based on weight optimization, it is related to cyclone similarity identification field, it is by constructing multiple key factors multidimensional time series, combined with weighted dynamic time warping algorithm, similarity calculation function is established.Such realization multidimensional comprehensive representation to cyclone space-time evolution process, overcome the identification deviation caused by traditional method only relying on single feature.In this regard, genetic algorithm, particle swarm optimization algorithm and differential evolution algorithm are used to iteratively optimize weight vector, with the minimum dispersion coefficient of candidate similar cyclone set as the target, to search for the global optimal weight vector corresponding to each algorithm;Again based on preset fusion strategy, determine the target optimal weight vector from multiple global optimal solutions.The closed-loop identification process effectively integrates multi-dimensional feature modeling and scientific weight optimization, significantly improves the objectivity and accuracy of cyclone similarity identification.

This invention discloses a method and system for assessing the risk of typhoon-induced coastal flooding considering climate change, belonging to the field of flood risk assessment technology. The method includes: acquiring a synthetic typhoon track dataset for the study area; calculating the pressure field and wind field data for the study area; simulating storm surge levels and flood distribution data under baseline and future scenarios using a dry-wet algorithm; and importing the flood distribution data and land use data into a geographic information system to quantify flood risk indicators for the study area under different scenarios. This invention assesses the typhoon-induced flood risk in the study area from a long-term perspective. Based on synthetic typhoon tracks and the Holland model, it calculates sea level levels under baseline and future scenarios, and compares and analyzes the impact of floods on different cities, landform types, and land use categories under the two scenarios. The research results reveal the high-impact types and potentially rapidly increasing risks that storm surges and climate change continue to pose to Hainan Island.

The application discloses a storm surge analysis method and system for long-time-series sea level data, and comprises the following steps: S1, acquiring long-time-series sea level measured data; S2, calculating the sea level component of each year according to the long-time-series sea level measured data; S3, performing tidal harmonic analysis on the long-time-series sea level measured data from which the sea level component is removed to obtain storm surge time-series data; and S4, performing characteristic analysis on the storm surge time-series data to obtain a storm surge analysis result. Compared with the prior art, the application separates and acquires storm surges from long-time-series sea level measured data of a coastal tide station, and further analyzes the storm surge distribution during typhoon and non-typhoon periods, the relationship between the storm surge and typhoon characteristics, the top ten historical storm surge events, and the interdecadal storm surge change trend.

The application discloses a simulation generation method and device for near-shore strong nonlinear waves and a terminal, and relates to the technical field of ocean engineering, in particular to a simulation generation method for near-shore strong nonlinear waves. The method comprises the following steps: acquiring sea surface height data of a tsunami wave at a certain position; inputting the sea surface height data into a wave speed variation and water depth variation relationship model, wherein the wave speed variation and water depth variation relationship model outputs wave flow speed; and obtaining a tsunami wave based on the sea surface height data and the wave flow speed. Compared with the prior art, the application can accurately generate strong nonlinear waves in a computational fluid dynamics model, fills the gap of the model method in this aspect, lays a foundation for the research on strong nonlinear waves, such as extreme storm surges and tsunami waves, and engineering effects thereof, and thus can more accurately understand, simulate and quantify the engineering effects of extreme wave disasters.

The utility model relates to offshore wind power installation equipment field discloses a kind of large wind power auxiliary installation platform, including main pontoon, the cavity barrel fixed sleeve of main pontoon center is provided, dry installation cavity barrel is passed in the cavity barrel guide sliding cavity, one piece of auxiliary pontoon is extended along center in each main pontoon four sides, anchor column guide sliding cavity is set in each anchor column fixed sleeve inside, supporting anchor column is passed in each anchor column guide sliding cavity, the cavity barrel guide sliding cavity is dry installation cavity barrel and is provided with direction, ensure that it can be vertically lowered to seabed operation surface, anchor column fixed sleeve and anchor column guide sliding cavity are mutually matched on the auxiliary pontoon, supporting anchor column can be quickly inserted seabed along guide sliding cavity, main pontoon is lifted using reaction force and is separated from water surface, form stable suspension base, effectively resist storm surge impact, create stable operation environment for offshore wind power foundation installation.

The application discloses a kind of nearshore wave-flow field-sediment coupling simulation method considering wave breaking nonlinear effect, belong to nearshore hydrodynamics field, including: input WRF high-resolution wind field, tidal boundary condition and water depth information, initialize wave, flow field, sediment module;Using improved wave breaking energy dissipation formula to calculate local wave breaking dissipation energy, obtain wave energy density spectrum and breaking probability;Under the calculation of nearshore flow field in the nonlinear correction of radiation stress, update hydrodynamic boundary condition;Using coupling diffusion coefficient to calculate sediment suspension and deposition, update sediment concentration distribution;Through cyclic iteration, make wave, flow field, sediment mutually coupled, realize nearshore wave-flow field-sediment simulation under extreme conditions such as typhoon, storm surge and strong wind wave.The method of the application can improve the prediction accuracy of wave height, flow velocity and sediment concentration under strong wind wave conditions in the nearshore, and be used for typhoon storm surge forecasting, harbor siltation evaluation and nearshore ecological environment management.

The invention discloses a land-sea integrated ecological restoration zoning method and a management platform system, and relates to the technical field of coast ecological restoration zoning, and the method comprises the following steps: collecting coast area storm surge data and coast area coastline data of a coastal zone area, and judging whether the coastal zone area is suitable for being divided into ecological seawall restoration areas for the first time; carrying out coastal region correlation analysis to obtain similar regions of the coastal zone region; predicting the change of the coastline in the coastline zone to obtain predicted coastline data; carrying out coastline straightness analysis, and judging whether the coastal zone area is suitable for being divided into an ecological seawall restoration area or not for the second time; the method is used for solving the problems that when an ecological seawall restoration area is divided in a coastal zone area through an existing coastal ecological restoration zoning technology, similar coastal zone areas cannot be screened, meanwhile, future changes of a coastline cannot be predicted according to corresponding coastline change data, and then the accuracy of dividing the ecological seawall restoration area is improved.

The application discloses a storm surge water level increase prediction method and device, electronic equipment and a storage medium, relates to the technical field of seawater monitoring, and comprises the following steps: acquiring multi-source observation data of a target sea area, wherein the multi-source observation data comprises satellite remote sensing data, nearshore monitoring data, meteorological model data and basin data; performing space-time alignment and abnormality processing on the multi-source observation data to generate standardized space-time grid data; performing hybrid prediction modeling on the standardized space-time grid data through a physical data double-driving modeling layer to obtain a target probability water level increase field; and dynamically correcting the target probability water level increase field by using real-time observation data to obtain a storm surge water level increase prediction value. The application combines a physical mechanism model and a probability generation model, overcomes the limitation of a single model, effectively captures the nonlinear evolution process of a storm surge, and adapts to complex coastal topography and variable weather conditions through a space-time double-driving architecture, thereby reducing the risk of missing reports or false reports.

The present application provides a kind of storm surge early warning method for coastal high-risk area, belong to storm surge early warning technical field, the present application is by obtaining the meteorological field data and ocean hydrographic data of target sea area to establish basic grid system, based on burr constraint vector to grid is dynamically nested encryption generation nearshore high-resolution subgrid, meteorological field data is input scale separation parameterization model to generate multi-scale driving field, on encryption subgrid, establish wave flow complete coupling equation group, through iteration, realize the dynamic consistency calculation of wave field and flow field, according to scale sensitivity index matrix, adaptively adjust grid resolution, finally extract nearshore water level increase characteristics to generate sub-regional warning level, solve the technical problem of insufficient wave flow coupling calculation precision of storm surge early warning system in nearshore complex terrain area.