92 results about "Storm surge" patented technology

The invention relates to a historical data based intelligent early warning system for typhoon and flood, comprising a database system used for storing historical data, predicting data and GIS base map data, a neural network prediction server, a WEBGIS graph display system and a WEB server, wherein the neural network prediction server is used to process the historical data to obtain prediction data which is then stored in the database system; the WEBGIS graph display system displays data in the database system graphically and publishes the data through the WEB server; the WEB server receives prediction request data inform a user client and displays the corresponding prediction result to the user in the form of WEB. Compared with the prior art, the invention has the characteristics of high prediction accuracy, intuitive display of the current storm surge information and forecasting of storm surge information. Besides, the historical data based intelligent early warning system for typhoon and flood can be taken as an auxiliary decision making system for forecasters to forecast storm surges.

The invention belongs to a field of the visual simulation of a flood routing. Aiming at realizing the three-dimensional dynamic whole-process simulation of the storm surge and the flood routings, the safety management of seawalls, a quick scientific assessment of the storm surge disaster, and the scientific formulation and the implementation of rescue and relief work, the technical scheme provided is the three-dimensional dynamic whole-process simulation of the storm surge and the flood routings, comprising the following steps: (1) establishing three-dimensional mathematical models of the storm surge and the flood routings in complex flooding areas; (2) drawing bathymetric charts of the storm surge and the flood submerging in complex flooding areas (3) dynamically simulating liquid phase flows of the storm surge and the flood routings in complex flooding areas; (4) carrying out the dynamics calculation of the storm surge and the flood routings in complex areas; (5) establishing virtual-real coupling models of the storm surge and the flood routings in complex areas; (6) carrying out the post processing and the visual output of the three-dimensional dynamic whole-process simulation. The method is mainly applied in the three-dimensional dynamic whole-process simulation of the storm surge and the flood.

The invention discloses a time sequence analysis-based storm surge disaster early warning system, which comprises a database server, an early warning prediction model analysis module, an assistant decision making system, a Web server and a management user, wherein the database server stores historical monitoring data, real-time monitoring data, basic geographic information data, emergency plan data, related calculation model data and early warning data; the monitoring data and the early warning data are time sequence data; the early warning prediction model analysis module is mainly used for preprocessing the data, piecewise linearly expressing the time sequence data to fulfill dimension reduction and compression aims, performing similarity matching on the time sequence data and the historical monitoring data, and performing disaster early warning according to a similarity matching result; and the assistant decision making system displays assistant decision making information on the basis of geographical graphic information, and displays the assistant decision making information to a client of the management user through the deployed Web server.

The invention relates to a tide predicting method for the tide is influenced by various factors, including cyclical factors, such as tidal generation force, and non-cyclical factors, such as wind power, atmospheric pressure, coast characteristics, rainfall, dip angles of the lunar orbit and the like. The predicting accuracy of the traditional harmonic analysis method is influenced by partial tide number, and the traditional harmonic analysis method cannot analyze the influence of non-cyclical factors; the artificial neural network method developed recent years overcomes the defect that the non-cyclical factors cannot be predicted by the harmonic analysis method to a certain extent, but has great data volume required by study training samples and wide involve range, can cover various possible conditions, but has less station historical data of non-cyclical factors. The invention provides a predict model, wherein factors which influence tide non-cyclically, such as wind directions, rainfall, storm surge, coast characteristics and the like, can be fused into the model, and small sample data can receive more accurate results. In the method, a support vector machine (SVM)-based predict model is established, wherein, an SVM toolbox is imported into MATLAB 7.8; training sample data is trained by utilizing svmtrain function; the formed model is tested by using a test sample svmpredict function; and the trained and tested data can predict the tide in the same tide test station.

The invention discloses a method for improving storm surge disaster risk predication accuracy. The method comprises the following steps that a storm surge disaster scene is built based on a scene analysis method; a storm surge disaster three-dimensional numerical simulation method is provided; a multi-mode multiobjective flood refuge optimal path selection model is built; the provided storm surge disaster three-dimensional numerical simulation method specifically comprises the steps that (1) the three-dimensional network model of the regional terrain is built; (2) the SST k-omega flood routing three-dimensional turbulent model of a coupling VOF method is built; (3) a three-dimensional risk drawing is drawn based on the three-dimensional numerical simulation result. The factuality and the visualization effect of flood dynamic real-time flowing and disaster time distribution are increased; a multi-mode multiobjective emergency path decentralization model is used for further improving the completeness and reasonability of an emergency refuge system, a disaster contingency plan is effectively made, and a multi-module coupling, high-completeness and high-practicality storm surge disaster risk analysis system is provided.

A water or flood control and containment system is provided having foundations, sealed bases, supporting structure, and pumping system that gives the user control over water containment and movement either to reduce the water hazard or to store water. The bases are secured and sealed to paved surfaces with foundations that have been preset into the street or other prepared foundation. When deployed on multiple adjacent streets, roadway levee creates a compartmented barrier containment system that mitigates flooding and storm surges. The invention is to be removed and stored off site when not in use.

A method of predicting the destructive capacity of a tropical cyclone based on a new Wind Destructive Potential (WDP) and Storm Surge Destructive Potential (SDP) scales which provide a manner to rate the severity of hurricanes and typhoons, based on information provided in operational forecast and warning products, experimental wind field products, or gridded numerical weather prediction model outputs. These new scales are formulated to be consistent with the physical mechanism through which tropical cyclones impact coastal communities through wind, storm surges and wave damage.

The invention turns a hurricane/tropical cyclone into a tropical rainstorm by spraying a super coolant such as liquid oxygen, or liquid hydrogen, or liquid nitrogen, or other super cold liquid gas around the top of the eye wall and additionally if needed, into the front of the eye wall using aircraft with pre-measured amounts of super coolant. Based on actual results, a real time computer system will be developed to enable communications between aircraft and control the amount of super coolant dispersed. The result of the invention will reduce/eliminate the damage to life and property due to high winds and storm surge as well as the staggering costs for rebuilding.

Devices, methods and systems for wave and water level measurement using a single DC (direct current)-coupled CW (continuous wave) Doppler radar for detecting water elevation changes in time when installed up to several meters from the water surface. The radar is wireless and can stream continuous data to a local PC (personal computer) or base station in range of its radio. The radar can sample up to 40 Hz and can run on batteries for continuous sampling. The radars can include multiple radar configurations of 1, 2 and 4 radar configurations. Applications for this radar can include the measurement of beach run-up, free surface elevation in tidal zones, and storm surge elevations near bridges and critical infrastructure during storm events.

The invention discloses a method for quantitatively pre-evaluating the direct economic loss of storm surge disaster of typhoon, which comprises: (1) using a statistical method as a mathematical tool to establish a model, searching for statistical rules from a certain number of historical disaster samples, and establishing a statistical mathematical model; and (2) inputting various parameters into the statistical mathematical model for evaluation before the oncoming of storm surge of typhoon. The invention further combines the method and an information issue platform to realize computerization and can evaluate the scope of possible direct economic loss caused by typhoon through the introduction of numerical mode calculation prior to the period of being influenced by typhoon. The quantitative pre-evaluation of the direct economic loss caused by typhoon and storm surge particularly has important realistic meaning, and the application of the method is favorable for the development of coastal disaster prevention and reduction work in storm surge disaster hotspots of China.

The invention provides a correction method for a station wave height prediction result. According to the method, based on historical data of a to-be-corrected station before an arbitrary moment T, a weight mapping matrix W and an offset matrix B are self-defined to train an extreme learning machine model, and the weight mapping matrix W, the offset matrix B and an output weight matrix P after training are obtained; and for a to-be-corrected moment after the arbitrary moment T, the weight mapping matrix W, the offset matrix B and the output weight matrix P are adopted to predict a correction error, and the correction error is adopted to correct the value prediction result. Through the multi-factor correction method, the error between a predicted value and a truly observed value can be reduced, the accuracy of the value prediction result is improved, and working efficiency is improved. The method has important significance for timely predicting an ocean storm surge disaster, effectivelycarrying out disaster prevention and reduction work and ensuring the safety of life and properties of people.

The invention discloses a typhoon storm surge risk assessment method and a system based on an ArcGIS platform. The method has the advantages that compared with a traditional storm surge risk zoning strategy, the risk quantitative evaluation strategy is provided, and quantitative calculation is conducted on each factor (H, E, V and R) influencing the final risk value of the area to be evaluated. Therefore, the final risk value can be measured from two perspectives, one is a traditional risk level form, the other is an innovative quantitative mode, and a specific risk value can be obtained. Andthe method has important significance for disaster prevention, disaster reduction and disaster relief deployment. Meanwhile, only three parameters are considered at most in traditional risk division,an algorithm is provided for detailed calculation of each parameter, meanwhile, the disaster prevention and reduction capacity is considered, and therefore the completeness and reliability of an evaluation result are further improved.

The present invention provides a fender system that is applied to a dock piling or solid faced bulkhead in order to prevent damage to a marine vessel while the vessel is moored to a fixed or floating dock, or dock piling, or solid faced bulkhead. The fender is designed to uniquely rise and fall with the level of the tide such that the fender is always in the most suitable position for protecting the vessel's hull from coming into direct contact with the piling or bulkhead. Thus, this system is useful in waters in which there is a constant ebb and flow of the tide and is especially useful in areas experiencing a storm surge.

The invention discloses a typhoon elliptical wind field parametric simulation method based on remote sensing image features. The invention relates to the field of satellite meteorological remote sensing information technology application. Through a remote sensing image analysis means and in combination with least square method ellipse fitting, ellipse center coordinates, ellipse long axis and short axis lengths and included angle parameters of the ellipse long axis and the x axis in the positive direction of the sea surface ellipse typhoon wind field are obtained through simulation, and the maximum wind speed space distribution range of the sea surface wind field in different directions is given. The method has the characteristics of simple operation and good real-time performance, the space-time heterogeneity distribution characteristic of the maximum wind speed radius of the sea surface wind field can be simulated, the obtained maximum wind speed point fitting ellipse can effectivelydescribe the space-time distribution range and orientation of sea surface wind field energy, and more accurate external drive can be provided for simulation of ocean dynamic processes such as storm surge and sea waves.

The present invention provides a typhoon disaster assessment system. The system comprises: a disaster event simulation and intensity calculation module, used for simulating generation of a random typhoon disaster event and calculating a disaster intensity of the random typhoon disaster event; an engineering module, used for establishing a plurality of vulnerability functions targeted at various disaster types and building structure systems and calculating a total loss corresponding to the random typhoon disaster event; and a loss contemplation module, used for converting the total loss corresponding to the random typhoon disaster event into an insurance loss in a preset insurance calculation manner. The system provided by the present invention provides a scientific, practical, complete and secure huge disaster loss contemplation model for huge disaster risk management, and it is especially of important reality significance to make a proposal of performing a quantified pre-assessment on the direct economical loss caused by the typhoon and storm surge.

The invention discloses a visual storm surge-sea wave coupling forecasting method, which comprises the following steps: crawling and analyzing multi-thread data released by a meteorological departmentto form a forecasting text, a picture and forecasting data; storing prediction data in a PostgreSQL database; when a data increment is generated, enabling a data driving thread to send data and a starting command to a storm surge-sea wave coupling mode, starting operation of the coupling mode automatically, and after operation of the storm surge-sea wave coupling mode is completed, processing overcalculated data and outputting the processed data to a visual data resource queue;; and presenting a final result on the ocean sphere through a Leaflet-based particle visualization method and a raster data layer drawing method. According to the forecasting method disclosed by the invention, an automatic operation coupling mode can be realized, the efficiency of a forecasting system is improved, and a forecasting result is more visual and friendly.

The invention discloses a method and a system for establishing storm surge overtopping and flooding analysis based on a GIS (Geographic Information System) technology, and the method comprises the following steps: firstly, reconstructing historical tropical cyclone data of a research area by utilizing constructed geographic information and a historical typhoon database and adopting a typhoon windfield empirical model; secondly, determining a calculation range of a research area, and establishing a storm surge refined numerical model based on an ADCIRC ocean mode; and finally, after the reliability and accuracy of the numerical model are determined, constructing an extreme tropical cyclone of the research area, designing the maximum water increase caused by the extreme tropical cyclone tomeet the astronomical high tide level, performing coupling calculation to obtain the possible maximum storm surge water level of the simulation area, and calculating the overtopping or collapsing water flow of the storm surge in combination with the seawall elevation. The method has the advantages that on the premise that the water flow calculation during storm surge overtopping and dike collapsing is increased, the volume method is adopted for calculating the water level of the submerged area, the GIS technology is utilized for building the overtopping and submerging analysis model, and the overtopping and submerging simulation result is visually displayed.

The invention relates to an electromagnetic scattering calculation method for dynamic sea surface in a storm-surge mixed mode. The electromagnetic scattering calculation method includes the following steps: S1, performing linear sea surface geometric modeling from a sea wave spectrum in a storm-surge mixed mode, wherein the sea wave spectrum comprises a main wave system and an auxiliary wave system; S2, performing geometric modeling on sea waves in a storm-surge mixed mode according to a non-linear sharp wave model; S3, calculating an electromagnetic scattering coefficient of the sea surface in a storm-surge mixed mode by a second-order low-slope approximation method; S4, calculating scattering coefficients under different sea conditions according to a sea spectrum model in a storm-surge mixed mode, the non-linear sharp wave model and the second-order low-slope approximation method, and verifying wind wave spectrum based linear sea surface electromagnetic scattering coefficients subjected to second-order low-slope approximation calculation according to a precise numerical algorithm and a multi-order-moment induction method. The electromagnetic scattering calculation method has the advantages of accuracy and effectiveness.

The invention discloses a method for analyzing the combined natural intensity of storm surges in multiple coastal areas. The method includes the following steps of (1) statistically analyzing storm surges affecting multiple to-be-studied areas at the same time; (2) analyzing the water level and wave height of the storm surge in each single area; (3) build a multiple-area storm surge natural intensity multi-dimensional combined distribution model; (4) analyzing the combined natural intensity of the storm surges in the multiple areas. The method, by taking the combined recurrence period of the maximum water level and the effective wave height in a typhoon process of a single area as the storm surge natural intensity index, selecting the combined recurrence period of the wave height and the water level of each area as a random variable of edge distribution, considering the influence of typhoon frequency, constructing combined distribution of the natural intensity of the storm surges in multiple coastal areas, and further analyzing the probability of typhoon storm surge disaster at different locations simultaneously, is of great significance for coastal disaster prevention and mitigation, material allocation, and especially economic sustainable development.