1978 results about "Water depth" patented technology

The invention discloses an uncontrolled multispectral remote sensing water depth inversion method and system, and belongs to the field of shallow sea water depth inversion methods. The method comprises the following steps: firstly, by calculating a depth invariant index of a target area, dividing the target area into a high substrate reflectivity type, a medium substrate reflectivity type and a low substrate reflectivity type; establishing corresponding high, medium and low substrate reflection spectrum sets according to the typical substrate type of the target area; and finally, based on a shallow water radiation transmission model, combining remote sensing reflectivity data of an adjacent optical deep water region, and establishing optimal matching between the simulated remote sensing reflectivity and the actual remote sensing reflectivity by matching a substrate reflection spectrum in a regional pixel-by-pixel manner, so as to obtain a continuous large-area bathymetric map of the target region. The method is suitable for water depth measurement without prior actual measurement of water depth in a multispectral remote sensing scene, solves the problem that a traditional water depth inversion algorithm does not fully consider complex substrate types and spectral variation, and provides a higher-precision method for shallow sea multispectral remote sensing uncontrolled water depth inversion.

The invention, which relates to the technical field of offshore wave simulation, discloses a wave hydrodynamic numerical simulation method for a sea area with a breakwater, comprising the following steps: S1, determining a target sea area, and collecting sea chart data and water depth topographic data of the target sea area; s2, determining a shoreline position of the target sea area, and establishing a water depth terrain database of the target sea area; s3, setting grid precision, and constructing a wave hydrodynamic two-dimensional model of the target sea area; s4, setting boundary conditions for driving the wave hydrodynamic two-dimensional model, and setting initial parameters; and S5, based on the wave hydrodynamic two-dimensional model constructed in the S3, performing numerical simulation on the target sea area by using a sub-grid method to obtain the characteristic wave height and periodic data of the target sea area. According to the method provided by the invention, the calculation efficiency can be ensured, the wave transmission characteristics of the open type oyster reef are considered, and the influence of open type oyster reef construction on the wave hydrodynamic environment field can be accurately simulated.

The invention discloses a lake terrain prediction method based on machine learning fused multi-source satellite data, and relates to the technical field of machine learning, and the method comprises the steps: extracting the optical features of a target lake from an optical satellite image; extracting water features of each water body pixel in the target lake from the SWOT satellite data; performing space-time alignment and fusion on the optical features and the water features to obtain a fusion feature vector; the actually measured water depth point of the real water depth is matched to the geographic position of the corresponding pixel, and then the real water depth and the fusion feature vector of the corresponding pixel form a training sample; selecting a machine learning model and initializing the structure or parameters of the machine learning model; training the initialized machine learning model by using the training sample; utilizing the trained machine learning model to predict the water depth value of the corresponding pixel according to the fusion characteristic vector of each water body pixel; and determining the terrain of the target lake according to each water depth value. According to the method, the terrain of a large-scale lake can be efficiently predicted at low cost.

The invention discloses an integrated measurement method and system for hydrological elements in a high-salinity and high-sand environment, and relates to the technical field of hydrological monitoring, and the method comprises the steps: correcting the theoretical signal receiving strength of each sonar through an established sound attenuation model, and then calculating an effective signal-to-noise ratio, thereby achieving the measurement of the underwater topography in the high-salinity and high-sand environment. According to the method, a dynamic weight fusion algorithm is adopted to perform data fusion on the water depth data of each sonar to obtain fused water depth data, and an inversion method based on residual error minimization is adopted to perform iterative optimization on model parameters, so that the accuracy is relatively high. When the water velocity and the flow rate are measured in the high-salt and high-sand environment, iterative decoupling is carried out based on the sediment particle motion comprehensive model to obtain the sediment particle velocity, then the water velocity is updated based on the measured apparent velocity and the difference value, and after the updated water velocity is converged, the flow rate is calculated. And the accurate water flow rate can be calculated by combining the flow cross section area. The measurement precision of the unmanned ship on the hydrological elements in the saline-alkali area can be improved.

The present disclosure provides a method for remote sensing blue-green wave band ratio logarithmic water depth retrieval of wavelet spline instantaneous tidal height correction, and belongs to the field of remote sensing water depth retrieval. Aiming at water depth retrieval precision reduced by blue-green light and a tidal height in a remote sensing water depth retrieval process, the model fully considers a linear correlation between an attenuation ratio of the blue-green light in water and a depth, the smoothness of the tidal height, and the characteristics of consistent convergence, first-order continuous derivation and second-order continuous derivation of the tidal height with time change, and constructs the method for remote sensing blue-green wave band ratio logarithmic water depth retrieval of wavelet spline instantaneous tidal height correction, and according to Molokai experiment verification, compared with an early model, the invention improves the remote sensing water depth retrieval precision.

The invention provides a large-scale water body underwater terrain inversion method and device and a medium, and the method comprises the steps: carrying out the partitioning of a to-be-inverted water body region, and obtaining a deep water region and a land-water conversion shallow water region; based on a spatial interpolation method, carrying out inversion on the land-water transformation shallow water area to obtain a land-water transformation shallow water area topographic image; a deepwater area water depth inversion model constructed based on the wave band reflectivity information and the underwater topographic elevation data performs inversion on the deepwater area to obtain a deepwater area underwater topographic image; and carrying out image splicing fusion on the land and water transformation shallow water region topographic image and the deep water region underwater topographic image to obtain the underwater topography of the water body to be inverted. In the face of a complex and changeable water body environment, a water body area to be inverted is divided into a deep water area and a land and water conversion shallow water area, and different and more targeted inversion methods can be adopted according to the characteristics of water bodies in different areas.

The invention discloses a multi-source data-combined pit-pond water depth calculation and storage capacity calculation method, which comprises the following steps of: acquiring actually measured water depth data, performing data preprocessing, and dividing the data into a training sample point set and a test sample point set; acquiring a multispectral remote sensing image of the reckoning area, and executing image preprocessing; unifying to the same coordinate system; fractal dimensions of each wave band and the combined wave band are calculated, and a water body region is segmented; establishing a mapping relation between the water depth values of the training sample points and the standardized multispectral apparent reflectance; establishing a water depth inversion model, and verifying the water depth inversion model by using the test sample point set; calculating discrete water depth points of the pit pond by using the optimal water depth inversion model; and establishing a minimum energy curved surface to obtain the water storage amount of a single pit pond, and accumulating to generate the total water storage amount. According to the method, actual measurement and remote sensing data are fused, the energy minimization water depth inversion model is constructed, accurate calculation of the water storage capacity of the pit pond is achieved, and the method has the advantages of being high in precision and high in applicability.

The invention relates to the technical field of exploration, and discloses a water depth inversion method and system based on a multispectral remote sensing image, which utilizes an independent verification sample set to carry out hierarchical precision evaluation, and analyzes model performance differences according to dimensions such as a water depth range and a substrate type. Error propagation of links such as atmospheric correction and water level correction is quantified through full-chain uncertainty analysis, an uncertainty quantification model of ensemble learning is constructed, and a pixel-level precision distribution diagram is generated. Therefore, according to the technical scheme, a closed-loop dynamic adaptation framework is formed by systematically integrating multi-temporal data dynamic modeling and an uncertainty quantification mechanism, a spatio-temporal variation compensation mechanism is embedded in the whole process from data acquisition to result verification, the interference of spatial-temporal heterogeneity of water optical characteristics on water depth inversion is effectively dealt with, and the accuracy of water depth inversion is improved. The problems of parameter mismatch and precision reduction of the water depth inversion model caused by dynamic change of optical characteristics of a coastal water body in seasonal and tidal scales are solved.

The invention relates to the technical field of channel monitoring, and discloses an unmanned aerial vehicle water depth monitoring method for channel inspection. The method comprises the following steps: deploying an unmanned aerial vehicle to a target channel area, initializing a carried sonar sensor, a camera and a positioning module, and planning a flight path to cover a to-be-detected point according to a preset algorithm; water depth and image data are collected in real time during flight, position information is obtained, multi-modal monitoring data are formed through space-time alignment, a water depth fusion model is input to generate a channel water depth distribution diagram, an abnormal area is recognized through an abnormal detection model, and finally the position and water depth data of the abnormal area are encrypted and transmitted to a ground control terminal. The method improves the efficiency and accuracy of channel water depth monitoring, can timely discover the abnormality, guarantees the safety and smoothness of the channel, and provides an effective technical means for channel management.

The invention discloses an urban flood prediction method based on a Bayesian convolutional neural network, and the method comprises the steps: collecting historical rainfall events of a research region, simulating different rainfall events through hydrodynamic simulation software, and obtaining the maximum submerging water depth; selecting characteristic variables influencing waterlogging water depth, wherein the characteristic variables comprise 10 rainfall characteristic variables and 10 spatial characteristic variables; considering uncertainty to construct a Bayesian convolutional neural network prediction model; training the model based on a loss function MAE; and inputting the data in the verification set into the trained model, and calculating the mean value of the output approximate posteriori distribution as the predicted value of the water depth. The method is proposed on the basis of calculating and analyzing the relationship between the characteristic variables and the target variables, effectively fusing different data and considering possible uncertainty sources, not only realizes the prediction of the size and range of the submerged water depth of the research area, but also quantifies the prediction uncertainty, so that the prediction accuracy is improved. And support is provided for real-time flood disaster management.

The invention relates to an AIS data-based port navigable water depth calculation method. The method comprises the following steps of: 1, preprocessing AIS data, namely cleaning and correcting wrong data in the AIS; a second step of structured grid subdivision: subdividing the AIS data into structured grids of a port area; step 3, navigable water depth reliability evaluation: evaluating the ship record reliability of the AIS points in each grid; and 4, calculating the navigable water depth, namely generating the navigable water depth through the immersion depth according to a ship reliability evaluation result. According to the method, the problems that the depth of a port area is difficult to measure, the cost is high and the timeliness is poor are solved, automatic calculation of the navigable water depth is realized, a reliable port navigable water depth calculation method based on AIS data is provided, and a process thought is provided for automatically extracting available information based on other big data.

The invention discloses a marine surveying and mapping method based on multi-beam sounding correction, and belongs to the technical field of marine surveying and mapping. The method comprises the following steps: acquiring sounding echo signals, sound wave propagation time delay data and temperature data through a multi-beam sonar array, an acoustic chromatography transceiving array and a laser Raman probe; and fusing the data to construct a dynamic refractive index field model, correcting sound ray refraction distortion by adopting an adaptive variable step size algorithm, carrying out weight allocation and data fusion on space-time adjacent beams to obtain high-confidence water depth, and generating an isobath topographic map. The problem of refraction distortion is solved through multi-source data fusion, the sound ray tracking step length is dynamically optimized, noise interference is suppressed through weighted fusion, and the precision and reliability of topographic surveying and mapping in complex environments such as a deep sea hydrothermal region are remarkably improved.

The invention relates to the technical field of marine surveying and mapping and submarine topography modeling, and discloses a submarine topography and landform construction method based on multi-source water depth data fusion, which comprises a multi-source data acquisition module, a data preprocessing module, a feature extraction module, a fusion algorithm matching module, a three-dimensional modeling module and an uncertainty evaluation module. A historical submarine topographic map is converted into grid data, namely, submarine topography is discretized into digital representation of regular grid units, water depths of other sources are converted into the grid data, the precision of the water depths of different sources is evaluated by adopting a superposition comparison method, and an error distribution model is established to reasonably correct and fuse the water depth data of various sources. The innovation of the method lies in that topographic feature parameters including the gradient, the curvature matrix and the bionic optimization algorithm are introduced, the defect that a single algorithm is preset in a traditional method is overcome, and the precision of coral reef and fault zone complex areas is improved.

The invention discloses a remote sensing shallow sea water depth inversion method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a satellite remote sensing image and actually measured water depth data of a to-be-measured area; performing correction preprocessing on the satellite remote sensing image to obtain spectral data; dividing the actually measured water depth data based on a preset proportion to obtain a training set and a test set; constructing a partial least squares regression model according to the training set and the spectral data of each wave band corresponding to the training set, predicting the spectral data, obtaining a prediction result, and performing prediction verification; when the prediction verification result does not meet the preset condition, the training set and the test set are divided again; the previous steps are cycled until the prediction verification result meets the preset condition; a support vector machine model is constructed through a parrot optimization algorithm based on the training set and the test set; and performing water depth inversion of the target area by using the support vector machine model. The method can accurately perform shallow sea water inversion, and can be widely applied to the technical field of data inversion.

The invention designs a linear heave compensation device based on a composite cylinder, belongs to the technical field of ocean engineering equipment, adopts a heave compensation scheme of a double-composite-cylinder structure comprising a heave compensation execution cylinder and an integrated control cylinder, and is provided with a plurality of functional cavities; the working gas cylinder group is communicated with a rod cavity of the heave compensation execution cylinder through the gas-liquid converter to provide passive compensation force for the heave compensation execution cylinder; oil is alternately supplied to inner cavities of the two composite cylinders in a control mode of direct driving of the two-way variable pump, and active compensation force is provided for the heave compensation execution cylinder; for an underwater high-pressure environment, deepwater pressure acts on a piston rod of the integrated control cylinder and a piston rod of the heave compensation execution cylinder at the same time, and the water depth compensation function is achieved through offset of internal pressure of the double cylinders. Multiple functions such as passive compensation, active compensation and water depth compensation are achieved, multiple working condition operations such as water, splash zone passing and landing can be continuously completed, the two-way variable pump is adopted to directly drive the compensation execution cylinder, the response speed and the control precision are improved, and the beneficial effects of being low in energy consumption, compact in structure, integrated in multiple functions and the like are achieved.

The invention discloses a method for estimating the storage capacity of water in a shielded pit-pond, and the method comprises the steps: extracting a pattern spot of a target pit-pond and determining the area of the pattern spot according to a remote sensing image of a target region, and determining the remote sensing extraction water surface area and the remote sensing extraction vegetation area of the target pit-pond; extracting a water surface area at least based on remote sensing, and determining the shielding degree of the target pond; according to the pattern spot area, the pond ridge area, the remote sensing extraction water surface area, the remote sensing extraction vegetation area and the shielding degree, the target pit pond water surface area is determined; extracting an outer edge line based on the pond ridge area; determining the water depth of the target pit pond according to the shielding degree; according to the water depth and the bottom surface range of the target pit pond, determining a pit pond bottom surface water depth model; constructing a pit-pond water depth model by taking the water depth of the outer edge line as zero and the pit-pond bottom surface water depth model as constraint conditions; based on the target pit-pond water surface area and the pit-pond water depth model, the pit-pond water storage amount is determined. According to the invention, the estimation precision of the storage volume of the sheltered pond water can be improved.

The invention relates to a sea area island remote sensing information change monitoring method and system, and relates to the technical field of remote sensing monitoring, and the method comprises the steps: obtaining a remote sensing image time sequence of a target sea area island, the remote sensing image time sequence comprises a plurality of remote sensing images, and each remote sensing image has an acquisition timestamp; collecting tide height information corresponding to the target sea area island at each collection timestamp, and water depth distribution information of the monitored sea area where the target sea area island is located; and performing correction processing on each remote sensing image according to the tidal height information and the water depth distribution information corresponding to each acquisition timestamp, and generating an island boundary contour change time sequence. The invention solves the problems that the traditional sea area island remote sensing monitoring adopts a single-moment image for analysis, the real coastline change and temporary boundary offset caused by tide cannot be distinguished, the boundary extraction precision is reduced due to shallow water area seabed reflection interference, the monitoring error is large, and the monitoring precision is low. The application precision requirements of sea area management, coastal zone protection and the like cannot be met.

The invention belongs to the technical field of ocean remote sensing, and discloses an ICESat-2 shallow sea sounding signal extraction method and system, and the method comprises the steps: carrying out the data preprocessing based on the obtained ICESat-2 sounding data; constructing an elliptical neighborhood direction adaptive model based on submarine topographic features, and determining the orientation of an elliptical neighborhood; constructing an elliptical neighborhood size adaptive model considering the depth change, and determining the size of an elliptical neighborhood; refraction correction and tide correction are carried out, and water depth correction of the seabed photon points is completed. Through the density clustering algorithm, accurate detection of the underwater topography of the shallow sea water area is realized, and a new analysis thought is provided for shallow sea water depth detection. The submarine photon point extraction problem caused by non-uniform point cloud density and weak connectivity of the photon counting laser radar ICESat-2 is solved, the sounding precision is remarkably improved, and the long-term requirements of the marine surveying and mapping field on the high-precision and low-cost sounding technology are met.

The invention belongs to the technical field of underwater vehicle testing, and particularly relates to a testing device for simulating an actual ocean service environment and a using method of the testing device. The experimental device comprises a box body, a bottom plate detachably installed on the box body, a plurality of simulation areas arranged on the bottom plate or the side wall of the box body, a wave making mechanism and a water depth pressure simulation mechanism installed on the side wall of the box body, a sea wind simulation mechanism installed on the box body, a first illumination module and a plurality of first visual capture modules. The wave making mechanism, the water depth pressure simulation mechanism and the sea wind simulation mechanism are arranged to form an ocean service environment, a plurality of simulation areas are arranged on the bottom plate or the side wall of the box body, and the height of the multiple three-dimensional lifting columns relative to the polygonal sinking surface is adjusted through the corresponding telescopic driving mechanisms to simulate the ocean seabed landform. Different working environments are provided for a test object, and the problems that in the prior art, due to the fact that the difference between the simulated marine environment and the actual environment is large, appearance optimization design cannot be carried out, and service performance cannot be comprehensively evaluated are solved.

The invention belongs to the technical field of water conservancy monitoring, and discloses a water conservancy water level monitoring device and method, and the method comprises the steps: a monitoring point arrangement module of a monitoring mechanism reasonably arranges the number and positions of monitoring points; the flow velocity monitoring module monitors the water velocity; the meteorological data acquisition module acquires meteorological data; the echo sounder emits sound waves, and the water depth is calculated according to the sound wave propagation time and the sound velocity in water; the pressure water level gauge, the laser water level gauge and the radar water level gauge monitor the water level of water conservancy. The echo data analysis module analyzes the echo data; the comprehensive analysis module comprehensively analyzes the water level; the predictive analysis module predicts a water level trend and potential risks. The water level of water conservancy is monitored through various water level gauges, cross validation and high precision are achieved, and the sediment deposition thickness is accurately calculated by analyzing echo data; the comprehensive analysis module comprehensively evaluates the water level; the prediction analysis module integrates various monitoring equipment data and meteorological data, and predicts the water level trend and potential risks.

The invention discloses a submarine topography super-resolution reconstruction method based on window displacement multi-source fusion, and aims to solve the problem of precision attenuation caused by absence of multi-beam truth value evaluation and resolution improvement of an existing neural network submarine topography reconstruction method. The method comprises the following steps of: obtaining gravity anomaly, gravity vertical gradient, vertical line deviation component, submarine topography background and ship survey water depth multi-source data of a target sea area; constructing a residual U-Net attention neural network model, and performing training by taking multi-source data extracted by a 11 * 11 window and position codes as input; moving the trained model sampling window in a staggered manner according to a target resolution step length; extracting data points in the window during movement and injecting position codes; and outputting a high-resolution water depth predicted value based on the position code and the window data. The reconstruction precision is improved by fusing physical quantities, the multi-resolution robustness is guaranteed by a window displacement mechanism, and the medium-frequency feature reconstruction capability is enhanced by a residual U-Net attention model.

The invention provides a hyperspectral water depth inversion method based on spectrum enhancement and a radiation transmission model. The method comprises the following steps: acquiring original hyperspectral data of a target area water body through a detector; performing noise reduction processing on the original hyperspectral data to obtain first hyperspectral data; performing spectral feature enhancement on the first hyperspectral data by adopting a spectral response function to obtain second hyperspectral data; carrying out radiation transfer calculation on the water body in the target area by adopting the water body radiation transfer model subjected to imaging observation geometric correction to obtain simulated hyperspectral data; and according to the second hyperspectral data and the simulated hyperspectral data, performing water depth inversion on the target area water body to obtain the water depth of the target area water body. According to the invention, the spectrum enhancement technology and the improved water body radiation transmission model are introduced, so that the precision and stability of hyperspectral water depth inversion are remarkably improved.

The invention discloses a bay environment simulation forecasting method and device, relates to the technical field of marine environment forecasting, and aims to solve the problem that in the prior art, forecasting precision and forecasting timeliness cannot be taken into account when environment simulation forecasting is carried out on a bay. The method comprises the following steps: based on coastline data, performing encryption processing on a target sub-region in a target gulf region by adopting a curve orthogonal grid, and generating a variable-resolution refined curve orthogonal grid from an inshore region to an open sea region; based on a refined curve orthogonal grid, according to a model simulation data format requirement, a variable-resolution grid file is manufactured and obtained; determining a model input file based on the water depth topographic data and the variable resolution grid file; and inputting the model input file into a preset three-dimensional oblique pressure ocean numerical model for calculation to obtain simulation forecast data. Therefore, the simulation precision requirements of different bay areas can be met, and the simulation calculation speed and the simulation calculation efficiency of the whole target bay area are ensured.

The invention discloses a method for rapidly optimizing the wave absorption performance of an underwater ecological submerged dike, and belongs to the technical field of ocean engineering, and the method comprises the following steps: taking an oyster reef as a research object, comprehensively considering marine environment factors and ecological submerged reef arrangement which influence the wave absorption performance of the ecological submerged reef, carrying out dimensionless processing, and determining seven independent variable parameters: relative water depth, water depth, water depth, water depth and water depth; the wave steep, the relative immersion depth of the oyster reefs, the relative length of the oyster reefs, the relative distance between the oyster reefs, the riverbed gradient and the number of the oyster reefs are determined. According to the method, nonlinear influences between all variable parameters are considered, a second-order optimal design model is suggested, an information matrix representing how changes of all factors affect variances and covariances of model parameters is calculated, and an optimal design scheme is obtained by maximizing eigenvalues of an inverse matrix. Compared with the traditional full-factor test design, the method has the advantages that the number of design groups is reduced on the premise of ensuring that the test combination is as comprehensive as possible, and the time of physical model experiment and numerical simulation calculation is greatly shortened.

The invention relates to the technical field of ship energy efficiency analysis, and particularly discloses a digital twinning-based bulk carrier EEDI pre-evaluation and design optimization method and device, and the method comprises the steps: carrying out the multi-source data collection, building a ship full life cycle database, building a high-precision digital twinborn body based on transfer learning calibration, coupling target port tide time series data, and carrying out the design optimization. The influence of dynamic water depth and water flow changes on a ship navigation strategy is simulated, the whole-course navigational speed is optimized to reduce the total oil consumption, a hull biological pollution bottom growth model is introduced into energy efficiency evaluation, the energy efficiency attenuation trend of the whole life cycle of the ship is predicted, and an operation EEDI index is generated through multi-physics coupling simulation. And multi-target collaborative optimization is carried out in combination with maneuverability safety evaluation, so that the problems that traditional EEDI evaluation is separated from actual operation conditions and neglects tidal window matching and hull energy efficiency attenuation are solved, and accurate prediction and collaborative optimization of the energy efficiency and safety of the whole life cycle of the ship from a design stage are realized.

The invention belongs to the technical field of dam settlement observation, and particularly relates to a dam deepwater area large deformation settlement observation device and method.The dam deepwater area large deformation settlement observation device comprises a main rod, and a floating assembly is arranged on the outer ring of the main rod; the floating assembly comprises a main body assembly and an additional assembly; and the bottom sinking assembly comprises a machine body assembly and a fixing assembly, and a detection assembly is arranged at the top of the machine body assembly. The overall length of the device can be adjusted according to the depth of a water area, the machine body assembly can rapidly sink into the water bottom, the machine body assembly can be rapidly fixed after sinking into the water bottom, energy can be supplied to the machine body assembly through an energy supply part of the additionally-installed assembly, the current water level is detected in real time, the applicability is improved, and the practicability is high. The water pressure of the current position of the machine body assembly can be detected in real time, the current water depth is speculated according to the water pressure, the surface of the detection assembly can be cleaned, and it is prevented that sludge accumulation affects normal use of the device.

The invention provides an ocean internal solitary wave amplitude lookup table inversion method and device, and the method comprises the steps: constructing an internal solitary wave multi-feature parameter lookup table under the condition that the ratio of the total water depth to the thickness of the upper layer and the thickness of the lower layer of the ocean is certain, and achieving the inversion of the amplitude of the internal solitary wave through the lookup table. The method comprises a lookup table construction step and an amplitude inversion step. According to the method, the satellite in-ocean solitary wave amplitude inversion is carried out in a lookup table mode, so that the calculation amount can be greatly reduced, the dependence of the satellite in-ocean solitary wave amplitude inversion technology on the ocean dynamics process is simplified, and the brightness and darkness distance information of the internal solitary wave SAR remote sensing image can be synchronously given through the lookup table; in addition, by means of the searching method, the precision of amplitude inversion of the large-amplitude internal solitary wave can be improved.

The invention discloses a method for estimating traffic operation efficiency and time economic loss of a waterlogged road section. The method comprises the following steps: establishing a waterlogged depth and distance relation model; according to the ponding depth of each point on the road section, calculating free flow vehicle speed and average vehicle speed before and after ponding; calculating passing time before and after ponding to obtain delay time generated by ponding of the road section; and according to the average delay time, the traffic flow, the number of passengers and the unit time value of each type of vehicles, estimating the total time economic loss of the ponding road section in unit time. According to the method, numerical calculation of the driving speed, the passing time and the delay time of the ponding road section can be realized, and a technical support is provided for evaluating the influence of ponding on road traffic operation efficiency and economic loss.

The invention provides a deep sea truss type semi-submersible breeding device, which comprises a centralized control buoyancy chamber, a breeding net cage floating body, a counterweight stand column, a mooring rope, a breeding net cage and a swing arm type floating body assembly, and is characterized in that the centralized control buoyancy chamber is arranged on the water surface, and equipment is arranged in a centralized manner, so that corrosion resistance, insulation, safety and controllability are ensured, and the overall stable load adjusting capability of the breeding net cage is controlled; the labor intensity of operators is reduced, uniform lifting of the culture net cage is accurately kept, the problem of inclination of the culture net cage is avoided, water temperature and oxygen content adjustment is achieved, meanwhile, damage of typhoon, red tide in summer and low temperature in winter to cultured organisms is avoided, the survival rate is increased, production and income are increased, and aquatic products capable of being cultured by the equipment can be increased by adjusting the water depth; the culture net cage can rise and dive to fully develop and utilize the deep sea, and a high-quality scheme is provided for wide culture groups to culture in the deep sea.

The invention relates to the field of ocean energy development and utilization, in particular to a tidal current energy array field site selection method based on a three-dimensional high-precision numerical model, which comprises the following steps: (1) a macroscopic site selection method; (2) a microscopic site selection method; (3) establishing a high-precision layered three-dimensional numerical model; (4) a tidal current energy resource refined evaluation method; analyzing a model calculation result, analyzing tidal current properties such as a large tide rising and falling moment, a small tide rising and falling moment, tidal current stability, energy flow density, theoretical reserve of tidal current energy resources, single-width energy flow flux and the like of a target sea area, and presenting an evaluation result through a visualization technology so as to guide a laying mode of a tidal current energy unit; compared with a traditional two-dimensional or simplified three-dimensional model, the evaluation precision is greatly improved. The tidal current characteristics at different water depths can be meticulously simulated, so that tidal current energy resource assessment is more comprehensive and accurate.