17 results about "Surface ocean" patented technology

Disclosed in the present invention is a method for studying the interannual variability of marine heatwaves in the Southern Indian Ocean. The method includes: on the basis of acquired data, exploring the spatial distribution characteristics and linear variation trend characteristics of marine heatwaves in the Southern Indian Ocean; analyzing the relationship between the intensity of marine heatwaves in the Southern Indian Ocean and an El Niño-Southern Oscillation (ENSO) process; analyzing the spatial evolution of marine heatwaves and sea surface temperature anomalies in the Southern Indian Ocean during El Niño events; analyzing the energy contributions of the ocean and atmosphere to marine heatwave events during El Niño events, and exploring the physical mechanism of marine heatwaves in the Southern Indian Ocean; and determining whether marine heatwaves in the Southern Indian Ocean are affected by shortwave radiation and latent heat modulated by the ENSO process. The present invention discovers that during El Niño events, within a study area, low cloud cover decreases while high cloud cover increases, the mixed-layer depth reduces, and shortwave radiation penetrates the sea surface; moreover, northwesterly winds anomalously intensify while climatological southeasterly winds are suppressed, thereby reducing evaporation, decreasing latent heat energy loss, and thus promoting warming.

The invention discloses a wave information extraction method and system based on video monitoring, and relates to the technical field of data processing, and the method comprises the steps: collecting the video data of an ocean surface and the meteorological data of a corresponding space-time position; processing the video data and the meteorological data, and training a video feature encoder to enable the video feature encoder to learn a physical causal relationship between a wind field and a wave field; inputting video data into the trained video feature encoder, and extracting to obtain a video feature vector; processing the video feature vector to enhance space-time relevance, and injecting a physical prior embedded vector to obtain an enhanced feature vector; and reconstructing a continuous wave field based on the enhanced feature vector, and outputting physical quantities of wave height, wave direction and wave steep. According to the invention, large-range, high-temporal-spatial-resolution, low-cost, non-contact and long-term continuous wave monitoring can be realized.

This application relates to the field of computer graphics technology, and in particular to a marine visualization method and system for simulating ship motion. The method includes: generating an ocean height field based on a selected wave spectrum; acquiring viewpoint height and topographic information, and generating an ocean mesh model based on the viewpoint height, the topographic information, and the ocean height field; calculating ocean surface reflected light, ocean surface scattered light, and foam based on the ocean mesh model to obtain the ocean visualization result. This application can simulate ocean height fields and lighting effects under different sea conditions, and users can quickly adjust the simulation environment according to their needs. Visualizing marine elements can intuitively reflect changes in the marine environment, which is helpful for environmental monitoring and management. For example, visualization of data such as temperature and ocean currents can assist in scientific research and decision-making.

The invention relates to the technical field of ocean remote sensing and intelligent ocean monitoring, in particular to a sea surface ocean current inversion method and system fusing ground wave radar and GNSS reflection, and the method comprises the steps: obtaining ground wave radar radial flow and GNSS-R original data; aI-driven space-time interpolation is carried out on the ground wave radar data so as to restore missing; constructing a wind-wave-current coupled GNSS-R forward physical model to extract weak ocean current signals; taking a regional ocean model as a framework, dynamically distributing two types of observation weights according to a shore distance, and carrying out partition self-adaptive data assimilation by adopting ensemble Kalman filtering; and finally, a high-resolution seamlessly-connected two-dimensional ocean current field product is output. According to the method, the problems of discontinuous flow field, high data missing rate and difficulty in GNSS-R ocean current signal extraction in a coastal-ocean transition zone of a traditional method are solved, and physically consistent and high-precision business ocean current monitoring from a coastal area to an open sea area is realized.

The present invention provides a system and method for enhancing adhesion between microplastics and air bubbles. More specifically, the present invention relates to a system and method for enhancing adhesion between microplastics and air bubbles so that the maximum number of microplastics can be collected from aquatic environments. The pressure difference between the stern section (from the buttock stern to the bottom baseline) and the outflow and inflow of air bubbles maximizes collection efficiency. The collected phytoplankton are reintroduced to the ocean surface to enhance the conversion of carbon dioxide to oxygen as a means of mitigating global warming.

The invention discloses an ocean surface wave monitoring system based on a synthetic aperture radar, which relates to the technical field of ocean surface wave monitoring, and comprises the following steps: carrying out azimuth split view on single-view complex data, and generating a split view cross spectrum and an azimuth self spectrum; determining a frequency domain selection area according to the cross spectrum energy, and calculating azimuth antisymmetric phase skewness in the area; determining azimuth cut-off by the azimuth auto-spectrum, constructing an odd phase compensation operator, and performing phase correction on the split-view cross-spectrum; performing direction projection on the correction spectrum to obtain a dominant propagation direction, and determining a peak wave number according to a direction correlation weight; and the peak wavelength and the peak period are obtained by using linear dispersion relation conversion. According to the invention, the monitoring reliability and consistency under complex sea conditions can be improved.

The present application belongs to the technical field of remote sensing measurement of ocean surface current velocity, and in particular to a Lujia-2 SAR current velocity correction method based on Bragg orbital velocity, comprising the following steps: verifying the physical correctness of the orbital velocity mechanism relative to the phase velocity mechanism; and under the DopRIM framework, establishing a physically consistent sea wave error correction model; calibrating the parameters of the sea wave error correction model; applying the calibrated sea wave error correction model to Lujia-2 satellite along-track interferometric SAR observation data to calculate the radial surface current velocity and sea wave error of each resolution unit; comparing the output results with the matched reference true value to evaluate the effectiveness of the sea wave error correction model; comparing the sea wave error correction model with the KaDOP model, respectively, to statistically analyze the simulated sea wave error under different methods; visualizing the sea wave error simulation results, and quantitatively evaluating the improvement effect through in-situ observation data and KaDOP simulation results.

The invention relates to a parameter adjustment method for large-scale mooring buoy seaborne comparative measurement, which comprises the following steps: establishing connection with a data acquisition system of a target buoy in a wireless communication mode, acquiring an observation element type and a sampling frequency parameter of the target buoy, and adjusting the observation element type and the sampling frequency parameter of the target buoy based on the acquired parameter; performing observation parameter configuration on each sensor arranged in the comparison measurement device, synchronizing the comparison measurement device with a system clock of the target buoy, monitoring the drifting direction and speed of a water sail at the bottom of the comparison measurement device, and determining the drifting speed of the target buoy according to the collected wave observation data and the height-corrected wind speed and wind direction data. And calculating the flow velocity and the flow direction of the surface ocean current through a preset algorithm model.

The application discloses a beacon machine working method and a storage medium, and relates to the technical field of beacon machines.The method comprises the following steps: a beacon machine is arranged on a submersible device; a rechargeable battery continuously supplies power to a main control module through a power conversion module; when the submersible device is submerged into the sea, two detection probes are conducted through seawater, the main control module controls the power control module to be disconnected, and the communication board is in a power-off state; when the submersible device is floated to the surface of the sea, the two detection probes are disconnected, and the main control module controls the power control module to be conducted; the main control module controls the power conversion module to supply power to a positioning module and a communication module at a preset frequency, the positioning module is used for positioning the beacon machine, the position information of the beacon machine is obtained, and the position information is sent through the communication module; and the main control module updates the preset frequency according to the change of the position information multiple times.The beacon machine working method can reduce the power consumption of the beacon machine and improve the endurance.

A sea going instrument is used to measure the 234Th activity on settling particles in the ocean as an indicator of carbon sequestration as export from the surface ocean. The instrumentation can be adapted to multiple sampling platforms with the goal of providing high temporal resolution 234Th flux measurements at multiple locations and depths in the ocean. This proxy of mass flux is used to complement other in situ sensors to provide high resolution data for features such as Chlorophyll-a concentration (Chla), accessory pigments, and PIC normalized to mass flux.

A method and device for detecting high-resolution ocean surface physical state based on satellite-borne GNSS-R complex waveform data, the method comprising: acquiring complex waveform data; preprocessing the complex waveform data to obtain a complex waveform data sequence for detecting the ocean surface physical state, dividing the detection complex waveform data sequence into multiple complex waveform groups in chronological order, and determining the coherence coefficient between two consecutive complex waveforms in each complex waveform group; taking the complex waveform data sequence as a test set, selecting 20% of the data in the test set as a training set, determining the threshold value of the average coherence coefficient feature quantity according to the validation data and the training set using the histogram method, taking the threshold value of the average coherence coefficient feature quantity as the demarcation line for judging sea ice and seawater, and obtaining the surface physical state of the detection area determined by the multiple sampling points corresponding to each complex waveform group in the test set according to the threshold value and the average coherence coefficient of each complex waveform group in the test set.

The invention discloses a physical constraint enhanced and multi-factor driven satellite-borne GNSS-R sea surface ocean current velocity estimation combination model construction method. The method comprises the following steps: acquiring satellite-borne GNSS-R observation data and multi-source ocean environment parameter variable data; data quality control and variable parameter extraction and processing; the invention discloses a normalized bistatic radar scattering cross section physical empirical model construction method for spaceborne GNSS-R sea surface ocean current velocity estimation. A developed model simultaneously considers the comprehensive influence of multiple factors such as wind speed, ocean current, surge, rainfall, sea surface temperature and salinity on a normalized bistatic radar scattering cross section. Constructing a satellite-borne GNSS-R sea surface ocean current velocity estimation combination model, and selecting a Transform modulation diffusion algorithm to develop the ocean current velocity estimation combination model; and the performance of the combined model is verified by adopting OSCAR data. The problem of high-precision estimation of the multi-factor-driven satellite-borne GNSS-R sea surface ocean current speed is solved.

The invention belongs to the technical field of ocean surface flow velocity remote sensing measurement and satellite load design, and particularly relates to a load design optimization method for SAR measurement of ocean surface flow velocity, and the method comprises the following steps: constructing a representative sea condition set of a target sea area based on multi-year storm reanalysis data; calculating wave induction deviations under different observation geometries by using a Doppler wave deviation model; searching the optimal observation geometry with the minimum time average deviation of each space lattice point and the distribution thereof; constructing a deviation lower limit, a coverage rate and a geometric consistency task index based on the optimal result; selecting a typical observation corridor, and comparing and evaluating the deviation improvement effect of the optimal geometry and the reference geometry; and according to the indexes and the improvement effect, determining an SAR load incident angle band and a sight line pointing range which meet task requirements, and forming an optimization scheme and performing visual output. According to the method, the wave induction deviation is used as design preposed constraint, a quantitative basis is provided for load parameter selection, the ocean current inversion deviation is effectively reduced, and the observation precision is improved.

A portable oil skimmer includes a collection unit configured to collect spilled oil while floating on the surface of the ocean. The collection unit includes a main body configured to allow a first oil-skimming member to be rotatably mounted on the front end thereof, a second oil-skimming member to be rotatably mounted on the rear end thereof, and a pipe to be connected to the upper portion thereof so as to communicate with the interior thereof, a pair of buoyant bodies mounted on two side surfaces of the main body, with the main body interposed therebetween, and an oil pump disposed in the main body and configured to convey oil collected by the first oil-skimming member and the second oil-skimming member to the outside of the main body through the pipe.

The application discloses a sea surface wind speed prediction method, comprising the following steps: receiving GNSS-R data of a sea surface, and setting the GNSS-R data as first data; receiving measurement data of the sea surface by a spaceborne microwave scatterometer, and setting the measurement data as second data; inputting the first data and the second data into a sea surface wind speed prediction model to obtain a predicted sea surface wind speed value. The sea surface wind speed prediction model comprises a machine learning (ML) regression model, and the first data and the second data are subjected to inversion calculation and fusion through the ML regression model to obtain the predicted sea surface wind speed value.

This invention belongs to the field of ocean surface current velocity remote sensing measurement and satellite payload design technology. Specifically, it is a method for optimizing the design of SAR payloads for measuring sea surface current velocity, comprising the following steps: constructing a representative sea state set for the target sea area based on multi-year wind and wave reanalysis data; calculating wave-induced deviations under different observation geometries using a Doppler wave deviation model; searching for the optimal observation geometry and its distribution with the minimum time-averaged deviation for each spatial grid point; constructing task indicators such as deviation lower limit, coverage, and geometric consistency based on the optimal results; selecting typical observation corridors and comparing and evaluating the deviation improvement effects of the optimal geometry and the reference geometry; determining the SAR payload incident angle zone and line-of-sight pointing range that meet the task requirements based on the indicators and improvement effects, forming an optimized scheme and visualizing the output. This invention uses wave-induced deviation as a pre-design constraint, providing a quantitative basis for payload parameter selection, effectively reducing ocean current inversion deviations and improving observation accuracy.