37 results about "Storm tide" patented technology

The application discloses an intelligent method for predicating surge when a typhoon occurs at a land stream hydrometric station (target reading station), and information of typhoon high tide surge and high tide level when the typhoon occurs at the target reading station after 12 hours can be intelligently predicted. The method includes prediction parameters selected for predicting the typhoon surge and comprehensively influencing the march route and intensity of the typhoon, and parameters influencing height of storm tide of the typhoon, wherein the prediction parameters consist of real-time typhoon observation data, longitude, latitude, central pressure of the typhoon, the maximum wind speed, move speed, move direction of the last typhoon observation data (before 6 hours) before the real-time observation time, information of upstream inflow of a river (observation surge information 12 hours before the target prediction time of an upstream reading station located in an upstream area of the river target reading station), and historic surge information of the target reading station (including surge information of two high tides in 24 hours before the target prediction time). The historic typhoon surge information of the target reading station is simulated through a mathematical model used for predicting typhoon surge and established through an artificial neural network, then the real-time typhoon surge information as well as the historic typhoon surge information of the upstream reading station and the target reading station are input, so that the typhoon surge information of the target reading station at the target observation time can be predicted.

The invention discloses a method for calculating the extreme high water levels in different reappearance periods under the insufficient long-term tide level data condition. The method for calculating the extreme high water levels in different reappearance periods under the insufficient long-term tide level data condition comprises the steps that 1, topographic data, meteorological data and actually-measured water level data are obtained; 2, an ADCIRC model is established, and the reliability of the model is verified; 3, the typhoon data in a long time of a study area are obtained, joint distribution of all factors is considered by means of a Monte Carlo model, the historical occurrence scope of each parameter is defined, and one parameter is regenerated in each defined scope, so that a new storm tide driving element set is generated; 4, the extreme water levels are generated by simulating all the storm tide driving element sets by means of the ADCIRC model, and the corresponding reappearance period is calculated. According to the method for calculating the extreme high water levels in different reappearance periods, the set of comprehensive storm tide elements, combined with the Monte Carlo model, for simulating the required historical reappearance periods is formed; by the adoption of the method for calculating the extreme water levels based on the dynamic ADCIRC model, the extreme high water levels in different reappearance periods can be accurately determined under the insufficient long-term tide level data condition.

The invention relates to a calculating method for refined assessment on storm tide disaster risks. The method is performed through the following steps: building a varied category of grid units for regions affected by storm tide disasters; using coast lines as a reference to calculate the distances from the centers of mass of the different grid units to the coast lines; utilizing a highly precise digital elevation landform to calculate the average elevation inside each grid; relying on experience and statistic equations to calculate the largest submergence set-up; based on the average elevation and the largest submergence set-up, obtaining the average depth of each grid unit; giving different degrees of vulnerability to the coast lines according to research on their types and calculating the greatest possible losses of the different grid units. The calculating method provides more space for storm disaster risk evaluation, reflects loss possibility differences from more refined space units and raises the accuracy of evaluation results.

A protective bag assembly made of multi-layer material for securing one or more articles against natural or man-made disasters, is disclosed. The protective bag assembly comprises an enclosure with an opening. Said bag assembly further comprises a closure secured to the enclosure for fastening the opening and a flap extends over the closure to protect them from exposure to flame and water. The enclosure and flap are made of multi-layer material comprising, a first layer made of silicone material, a second layer made of flame resistant foil, a third layer made of foam material and a fourth layer made of rubber material. The protective bag assembly secures one or more articles against flood water, storm surges, leaky roofs, sand, dust, rodents, insects, flames or any combination thereof.

The invention discloses a mangrove forest and submerged breakwater coupled ecological breakwater, and belongs to the field of coastal engineering. The mangrove forest and submerged breakwater coupledecological breakwater is characterized in that a traditional breakwater structure is innovatively coupled with a mangrove forest, a plurality of submerged breakwaters are periodically arranged at intervals, breakwater core stones, dimension stones, backfill soil and protective surfaces are sequentially laid in the breakwaters, and due to the existence of the submerged breakwaters, the vertical elevations of plants are changed in a staggered mode. The mangrove forest is composed of a tree crown, a tree stem and a tree root, the canopy with the most remarkable wave absorbing capacity is lifted,and therefore the effective wave absorbing water level is increased. Under the action of waves and tide, through the mode, the mangrove forest can generate more shearing layers, and the wave-absorbingand flow-resisting effects are enhanced; and the wave absorbing capacity of the submerged breakwater to surface waves can be enhanced through the mangrove forest, and the damage effect of extreme seaconditions such as storm surge on the submerged breakwater is weakened. The mangrove forest and the submerged breakwater are coupled, the occupied area is reduced, a win-win situation is achieved bycombining the wave absorbing characteristics of the mangrove forest and the submerged breakwater, meanwhile, environmental protection is achieved, and economic value and ecological significance are achieved at the same time.

The present invention proposes a storm surge warning tide level electronic identification column, the signal transmitter is installed in the tide gauge station, and the tide gauge station monitors the current tide level in real time, and sends the current tide level value to the signal receiver through the wireless network through the signal transmitter; The detector is installed on the control circuit board inside the column, and the decoding chip on the control circuit board converts the current tide level value received by the signal receiver into a digital signal and judges its corresponding alert level; the column shell is bottom-up There are multiple LED light bars, and each LED light bar corresponds to a tide level. When the corresponding warning tide level is reached, the warning lights of different colors are lit according to different levels. When the tide level value has not yet reached the alarm level, only the LED The light bar shows the virtual water level. The storm surge warning tide level electronic marking post of the present invention adopts a remote method to read the tide level value and the tide station name information of the nearest tide station, and the installation location of the marking post is not limited by the geographical location.

The invention discloses a water flow tracing real-time monitoring system and a speed measuring method. The water flow tracing real-time monitoring system comprises a water flow tracing ball, and the water flow tracing ball comprises a positioning module, a communication module, a control module, a power supply module and a spherical waterproof shell. The positioning module is used for regularly orirregularly obtaining the position and time data of the water flow tracing ball, the control module is used for caching the positioning data and the time data, the communication module is used for regularly or irregularly sending the positioning and time data to the cloud platform monitoring system, and the spherical waterproof shell floats on the water surface at a certain immersion ratio. The water flow tracing ball is low in manufacturing cost, long in endurance time, simple in speed measurement operation, high in automation degree and capable of better adapting to measurement of surface flow velocity and flow fields of extreme scenes such as embankments, flood peaks, bay flow fields, tidal zone boundaries and tidal flow boundaries of tidal rivers, bidirectional jet flow of entrance water channels, storm surge and the like and water areas with special terrains. The invention belongs to the technical field of hydrological data measurement.

The invention relates to a coastal zone inundation contour prediction method anddevice, equipment and a readable storage medium, and belongs to the technical field of storm surge early warning monitoring, and the method comprises the steps: obtaining a digital terrain model of a to-be-monitored coastal zone; obtaining a preset contour line according to the digital terrain model, and discretizing the preset contour line to obtain a plurality of discrete points; endowing each discrete point in the plurality of discrete points with a tide level value; respectively generating a normal path of eachdiscrete point on the digital terrain model; searching a first elevation point which is not less than the tide level value of the corresponding discrete point on a normal path of each discrete pointon the digital terrain model; and connecting all the searched elevation points to obtain a predicted submerging contour line of the coastal zone to be monitored. Two-dimensional analysis is reduced into one-dimensional analysis, only one-dimensional station network tide level data along the coastline is needed, and the calculated amount is small.

The invention provides a novel typhoon field mode for storm surge simulation, which comprises an air pressure formula, a gradient wind speed formula, a synthetic wind speed formula and a maximum windspeed radius formula of typhoon, and constructs a novel parameterized typhoon field mode for storm surge simulation so as to improve the accuracy of storm surge simulation and forecast. An air pressure formula is provided according to typhoon profile characteristics, sea surface resistance is considered to correct a gradient wind control equation, a novel gradient wind field formula is derived, and the relation between the maximum wind speed radius and center air pressure is determined, so that a novel typhoon field parameterization mode is provided, and a typhoon field calculation method in typhoon storm surge numerical simulation is improved. Typhoon profile data is adopted to verify the new mode, and compared with famous vine field high bridges and Holland modes, the result shows that the wind speed field precision provided by the typhoon field mode for typhoon storm surge forecasting is the highest.

The invention discloses an intelligent disaster prevention and reduction method for a marine ranch. The disaster prevention and reduction method comprises the following steps: firstly, collecting materials, investigating and collecting basic data, and collecting hydro-meteorological data and historical typical storm surge process and dike burst data; selecting an evaluation area according to the collected materials, performing area division on the range of the evaluation area, performing grade division on the risk and the vulnerability of the area, and calculating the area risk by multiplying the risk and the vulnerability; the method comprises the following steps: calculating a multi-disaster concurrent risk through a multi-disaster concurrent risk model, decomposing chain risk assessment into two multi-disaster concurrency by constructing a chain relation of a storm surge event chain, obtaining a connection probability by modifying a conditional probability iteration model, and obtaining a comprehensive risk according to the connection probability. According to the method, static risk assessment and dynamic risk assessment are performed on the marine ranching, so that more accurate risk assessment is provided, and accurate basis and reliable data are provided for disaster prevention and reduction.

The invention provides a storm surge simulation method based on WRF land cover data replacement. The storm surge simulation method comprises the following steps: S1, using ArcGIS for processing land cover data to be replaced; s2, processing land cover data in a preprocessing module in the WRF mode; s3, operating the WRF to obtain simulated wind field data; s4, establishing an SWAN wave model and an ADCIRC hydrodynamic model; s5, respectively providing the simulated wind field data after the replacement of the land cover data for the SWAN wave model and the ADCIRC hydrodynamic model; s6, inputting the wave radiation stress obtained by simulation of the SWAN model into an ADCIRC model; and S7, performing storm surge simulation by using the ADCIRC model. According to the invention, the WRF-SWAN-ADCIRC coupling model is comprehensively used, the method can be used for simulating the storm surge in the bay area of the sea mouth, outdated built-in land cover data in the WRF are replaced, andthe accuracy of storm surge simulation is improved.

The invention provides a storm surge flood early warning method based on a long-term and short-term memory network. The storm surge flood early warning method comprises the steps of obtaining historical data for normalization processing; inputting the data into a long-term and short-term memory network for iterative training to obtain a flood prediction model for predicting future water level change conditions; inputting the current storm event data into a flood prediction model to predict a water level change condition; and if the water level exceeds the preset warning line, starting a flood-fighting emergency plan, otherwise, predicting the position of an inland inundation point, and starting the inland inundation emergency plan. The invention further provides a storm surge early warningsystem. The storm surge and flood early warning method and system based on the long-term and short-term memory network have the advantages that a model for predicting storm surge water level changesis constructed based on a long-term and short-term memory network algorithm, derivative inland inundation disaster conditions are predicted based on an SWMM model when the water level does not exceeda flood boundary, and decision support is provided for early warning and disaster relief work.

The invention provides a storm tide level identification alarm station and an alarm lamp structure thereof. The alarm lamp structure comprises a center column, four sets of annular lamp holders, fourannular alarm lamps and four annular light-transmitting plates; the annular lamp holders are arranged at the exterior of the center column in a sleeving mode and fixed to the exterior of the center column; and the annular alarm lamps are fixed to the annular lamp holders along the circumferences of the annular lamp holders, the annular light-transmitting plates are fixed to the annular lamp holders and located outside the annular alarm lamps, and the four sets of annular alarm lamps and the four annular light-transmitting plates are in blue, yellow, orange and red from bottom to top in sequence. The storm tide level identification alarm station and the alarm lamp structure thereof have the beneficial effects that the four annular alarm lamps in different colors represent the correspondingdifferent degrees of disasters, the annular alarm lamps can visually warn people in an all direction mode by 360 degrees about seaside tide level information in time, surrounding people know about thedisasters in time and have a certain degree of judgment for the further conditions advantageously, personnel response in time advantageously, and necessary loss is reduced.

The invention discloses a high-pressure wave water tank device. The high-pressure wave water tank device comprises two civil engineering foundations arranged in a bilateral symmetry mode, a wave generation water tank, a wave generation piston, an I-shaped beam, a hydraulic rod and a hydraulic pump; the wave generation water tank is in dynamic sealing connection with the wave generation piston andis used for generating high-pressure conditions in the wave generation water tank and increasing the wave generation height; the wave generation piston is composed of a rigid iron plate and can realize simulation of a wave shape through rubber flexible connection; the bottom of the hydraulic rod is connected with the wave generation piston to control regular movement of two sides and the middle part of the wave generation piston; and the hydraulic pump is connected with a hydraulic pipeline of the hydraulic rod to control the lifting motion of the hydraulic rod so as to control the wave generation piston to form different regular waves. The device is small in size and simple in structure, can increase the wave generation height and simulate large storm surge, and can be used for researching the problems of sediment movement, seabed instability and the like under the action of waves.

The invention discloses storm tide wave height collecting equipment for an intelligent sea wall perception system. The storm tide wave height collecting equipment for the intelligent sea wall perception system comprises an outer shell, a water pressure sensor, a signal emitter, a weight-balancing block and a plurality of supporting feet; the water pressure sensor and the signal emitter are arranged in the outer shell; the supporting feet are vertically arranged on the bottom face of the outer shell; a cavity body sinking inwards towards the outer shell is arranged at the top end of the outer shell, and the water pressure is arranged in the cavity body; and the lower part of the outer shell is larger than the upper part of the outer shell. The storm tide wave height collecting equipment forthe intelligent sea wall perception system has the beneficial effects that storm tide wave height collecting equipment under a working state is arranged all over the seabed in a distributed mode, theweight-balancing blocks can enable the storm tide wave height collecting equipment to be attached to the seabed steady, and the supporting feet can make stable contact with the seabed; due to the fact that the lower part of the outer shell is larger than the upper part of the outer shell, side-direction ocean current can be resisted, the risk that the storm tide wave height collecting equipment is overturned by sea waves can be reduced, the wave height can be accurately measured during a storm tide period, and the reliability is high. The invention relates to sea wall engineering.

The invention provides a pipeline diameter determination method and an urban inland inundation early warning method and device, and relates to the technical field of urban inland inundation treatment.The method comprises the following steps: acquiring diffusion amount data in seawater; obtaining urban drainage system parameters and urban rainfall data; establishing a mapping relationship betweenthe pipeline diameter in the urban drainage system and the urban accumulated water depth according to the seawater internal overflow data, the urban rainfall data and the urban drainage system parameters; acquiring detection data of the urban accumulated water depth; and determining the diameter of the pipeline through a Markov decision process according to the mapping relationship between the diameter of the pipeline and the urban ponding depth and the detection data of the urban ponding depth. According to the method, the urban ponding depth is obtained through the seawater internal overflowdata and the urban rainfall data, then the urban ponding depth is compared with the detection data of the urban ponding depth, and the pipeline diameter is estimated through the Markov decision process, so the underground pipeline diameter can be estimated, and the modeling precision of storm surge flood simulation is improved.

The invention discloses a storm tide level observation station which comprises a tide gauge well, the tide gauge well is fixed to the side wall of a roadbed, a float type water level gauge is fixed in the tide gauge well, a plurality of metal bent plates are arranged on the inner wall of the tide gauge well at intervals and connected with the same photovoltaic panel, and a wind power generation device is fixed to the outer side of the tide gauge well. A spring ring is slidably arranged on the inner wall of the tide gauge well, the spring ring is connected with a connecting rope penetrating through the side wall of the tide gauge well, anti-collision assemblies are symmetrically arranged on the side, close to a water body, of the tide gauge well, each anti-collision assembly comprises anti-collision base bodies arranged at intervals, a sliding iron chain fixed to the water bottom face is inserted into each anti-collision base body in a penetrating mode, and the sliding iron chains are connected with the connecting rope. The floater type water level gauge is used for detecting water level changes, outer side protection is formed through the anti-collision assembly, meanwhile, the photovoltaic panel and the wind power generation device are used for continuously supplying power to electric equipment, and the device has the advantages of being long in service life, not prone to damage and accurate in detection result.

The invention discloses a k-means-based storm surge disaster key defensive area selection method. The method specifically comprises the following steps: S01, obtaining a storm surge assessment research result of a to-be-selected area as a data set; s02, selecting four groups of different element indexes including one group of independent judgment indexes and three groups of parallel judgment indexes in the data set as an initial class cluster center; s03, respectively carrying out single-attribute K-Means clustering analysis on the four indexes serving as the initial class cluster center; s04, performing spatial superposition according to single-attribute K-Means clustering analysis results of three groups of parallel judgment indexes in the four indexes of the initial class cluster center to obtain a potential key defensive area range; and S05, performing multi-attribute K-Means clustering on the data set according to the four indexes of the initial class cluster center to determine a key defensive area. According to the invention, K-Means clustering is effectively utilized to determine the key defensive area, and the technical problems that in the prior art, subjectivity is too high, scientificity is low, the method is affected by factors such as scientificity of analogy project index standard value setting and similarity between two projects, and the universality of the method is poor are solved.