A method including operating a vehicle in a medium. The vehicle is subject to advection due to movement of the medium. The method also includes measuring, using a navigation system, positions of a vehicle over time. The method also includes measuring, using a directional sensor, a course-through-medium over the time. The method also includes calculating, using the positions and the course-through-medium, a variation of a speed-over-ground of the vehicle over the time as a function of the course-through-medium over the time. The method also includes concurrently estimating, using the variation, 1) an average speed-through-medium for the vehicle over the time, and 2) an advection rate of the medium, and 3) an advection direction of the medium.

A measuring device for wave energy conversion performance of a comb-typed permeable breakwater with arcuate walls is provided. The measuring device includes four parts: the comb-type permeable breakwater with arcuate walls, a wave height measuring instrument and pressure sensor fixing and adjusting apparatus, a wave height measuring instrument data collecting and processing apparatus and a pressure sensor data collecting and processing apparatus. The comb-typed permeable breakwater includes combined arc-shaped caissons, partition plates, a back plate, a fixing bottom plate and fixing screws. The wave height measuring instrument data collecting and processing apparatus processes data collected by a wave height measuring instrument and outputs for display. The pressure sensor data collecting and processing apparatus analyzes data collected by a pressure sensor and outputs for display. The measuring device has a stable structure, convenient operation and high experimental accuracy.

A tidal information display device for a movable body includes a position measurement module configured to detect a position of the movable body, a geographical information selection module configured to determine geographic information to be displayed on a display screen based on the detected position, a tidal information module configured to receive and store tidal information based on the detected position, and a tidal information display module configured to generate display data for displaying a graphical user interface (GUI) at a predetermined position on the display screen. The GUI is configured for showing the tidal information including at least one of: a present height of a tide, a high tide time, a low tide time, and a position of the tide.

The present specification relates to image capture. More specifically, it relates to selective image capture for sensor carrying devices or floats deployed, for example, on the open sea. In one form, data is generated on the sensor carrying devices or floats by an on-board Inertial Measurement Unit (IMU) and is used to automatically predict the wave motion of the sea. These predictions are then used to determine an acceptable set of motion parameters that are used to trigger the on-board camera(s). The camera(s) then capture images. One consideration is that images captured at or near the peak of a wave crest with minimal pitch and roll will contain fewer obstructions (such as other waves). Such images provide a view further into the horizon to, for example, monitor maritime sea traffic and other phenomenon. Therefore, the likelihood of capturing interesting objects such as ships, boats, garbage, birds, . . . etc. is increased. These images may then be further processed and/or transmitted in a variety of manners.

In an array-type underwater apparatus for monitoring deformation of a reservoir landslide, an anchor is buried at an underwater monitoring point in a landslide mass, and a floating shell is configured to float on a water surface. A GPS sensor is configured to transmit and receive a GPS signal to obtain a real-time position of the floating shell, a water temperature sensor is used to obtain a water temperature-time relationship, and a gravity wave gauge is used to obtain a wave height-time relationship. An upper end of a pull cord is securely connected to the floating shell via a displacement compensation mechanism, and a lower end of the pull cord is securely connected to the anchor. The displacement compensation mechanism compensates for a displacement after the floating shell floats with a wave. An encoder-type displacement meter measures a real-time distance between the encoder-type displacement meter and the anchor.

Systems and methods for generating a phase-resolved ocean wave forecast with ensemble based data assimilation are disclosed. An example method includes receiving radar data corresponding to an ocean surface, and determining a surface elevation and a surface potential of a portion of the ocean surface. The example method also includes generating an ensemble of perturbed ocean surface data, and applying a phase-resolved nonlinear wave model to the ensemble of perturbed ocean surface data to generate a set of forecast ocean surface data. The example method also includes receiving a subsequent set of radar data corresponding to the ocean surface, and determining a subsequent surface elevation and surface potential of the portion of the ocean surface. The example method also includes combining, by applying an ensemble Kalman filter, the set of forecast ocean surface data with the subsequent surface elevation and surface potential to generate a phase-resolved ocean wave forecast.

The present disclosure provides for a device and system for aqueous wave measurement. The system may comprise at least one altimeter that may collect one or more measurements from a vertical orientation. The system may comprise at least one stabilization sensor that may interface with at least one positioning device. The stabilization sensor may, with fixed coordinates received from the positioning device, allow the drone to maintain a constant altitude above the variable, changing surface of water. The system may comprise one or more analytics that produce meaningful metrics from information received from the aqueous wave measurement device. The system may comprise at least one GUI that presents the analytics in an understandable way based on the expertise of a user viewing the analytics. The device may store collected measurements locally, or may transmit the measurements via at least one transmitting device, or both.

An observer measures a flow velocity of sea surface with beam, and a coastal wave height. A predictor predicts a next time state vector, from a state vector including flow velocity of each range cell of beam, a wave height difference between range cells, and a coastal wave height. First calculator calculates a prediction error covariance matrix from a smoothing error covariance matrix. Second calculator calculates a gain matrix using results obtained by the observer and the first calculator. Third calculator calculates a smoothing error covariance matrix using results by the observer, the second calculator, and the first calculator. The state vector is smoothed for each wave height difference, from results by the observer, the predictor, and the second calculator. The wave height of each range cell is calculated by adding the wave height and the wave height difference in toward-offshore direction, using the wave height difference smoothing.

The present disclosure relates to a method for measuring a water level by using a UAV and virtual water control points and a method for generating 3D water surface spatial information, and a UAV used therefor. According to an embodiment, an UAV for a water surface survey includes: a position measurement unit configured to receive a GPS signal and to obtain position information of the UAV; a distance measurement unit including a plurality of laser measurement devices configured to project lasers toward the water surface; and a controller configured to calculate a moving distance of the UAV, based on measurement values of the position measurement unit and the distance measurement unit.

A method including operating a vehicle in a medium. The vehicle is subject to advection due to movement of the medium. The method also includes measuring, using a navigation system, positions of a vehicle over time. The method also includes measuring, using a directional sensor, a course-through-medium over the time. The method also includes calculating, using the positions and the course-through-medium, a variation of a speed-over-ground of the vehicle over the time as a function of the course-through-medium over the time. The method also includes concurrently estimating, using the variation, 1) an average speed-through-medium for the vehicle over the time, and 2) an advection rate of the medium, and 3) an advection direction of the medium.