Devices, systems and methods for real-time wave monitoring are described. One example system for real-time monitoring of wave conditions includes a plurality of buoys, wherein each of the plurality of buoys comprises a sensor array configured to continuously monitor one or more characteristics of the wave conditions, a transceiver configured to transmit, to a remote server, information corresponding to the one or more characteristics of the wave conditions over a wireless communication channel, and a tether that physically couples the buoy to an anchor, wherein the information from each of the plurality of buoys is combined with a user preference to provide a user with a message regarding the wave conditions in response to a user request, and wherein a duration between the user request and transmission of the information from each of the plurality of buoys is less than a predetermined value.

An apparatus and a method are provided for detecting one or more objects under a surface of a water body. The method includes transmitting one or more ultrasonic waves into the water body according to a transmit beam pattern. The method further includes determining a bottom characteristic of a bottom of the water body and dynamically adjusting the transmit beam pattern, based on the bottom characteristic of the water body.

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.

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.

The disclosure provides a marine transportation platforms guarantee-oriented analysis and prediction method for a three-dimensional temperature and salinity field, including: based on multi-source marine environmental data, analyzing the spatiotemporal distribution characteristics of marine dynamic environmental elements, and studying the characteristics of the temperature-salinity relation; on the basis of analysis of the spatiotemporal characteristics and study of the characteristics of the temperature-salinity relation, establishing a statistical prediction model of marine environmental dynamic elements by a spatiotemporal empirical orthogonal function method; based on the observation data of temperature and salinity obtained by the marine transportation platform, correcting a marine environment forecast field around the marine transportation platform by using a realtime analysis technology of a marine environment field; and adjusting the salinity using a temperature-salinity relation curve after the temperature and salinity are forecasted, so as to keep the temperature-salinity relation as close as possible to its climatic characteristics. The disclosure makes up for the shortcomings of the traditional numerical prediction method that the period of prediction validity of marine dynamic environmental elements is short due to meteorologically driven timeliness restrictions, and the prediction process of the disclosure does not require a high-performance computing platform and occupies less computing resource.

The disclosure provides a marine transportation platforms guarantee-oriented analysis and prediction method for a three-dimensional temperature and salinity field, including: based on multi-source marine environmental data, analyzing the spatiotemporal distribution characteristics of marine dynamic environmental elements, and studying the characteristics of the temperature-salinity relation; on the basis of analysis of the spatiotemporal characteristics and study of the characteristics of the temperature-salinity relation, establishing a statistical prediction model of marine environmental dynamic elements by a spatiotemporal empirical orthogonal function method; based on the observation data of temperature and salinity obtained by the marine transportation platform, correcting a marine environment forecast field around the marine transportation platform by using a realtime analysis technology of a marine environment field; and adjusting the salinity using a temperature-salinity relation curve after the temperature and salinity are forecasted, so as to keep the temperature-salinity relation as close as possible to its climatic characteristics. The disclosure makes up for the shortcomings of the traditional numerical prediction method that the period of prediction validity of marine dynamic environmental elements is short due to meteorologically driven timeliness restrictions, and the prediction process of the disclosure does not require a high-performance computing platform and occupies less computing resource.

An ecological restoration method for a lake wetland against effects of water level rise in a dry season includes: collecting basic data of a lake; determining wetland phytoremediation species of the lake; determining characteristic water levels of the lake under a baseline scenario and under different water level rise scenarios; determining a restoration range based on wetland types corresponding to different characteristic water levels; selecting an experimental restoration area from the restoration range, and performing ecological restoration; and monitoring a plant community state and waterbird biodiversity, judging whether the restoration reaches a preset goal, and adjusting the method if the restoration does not reach the preset goal. According to the method, the effects of water level rise in the dry season on wetland habitat, biodiversity, ecosystem services and the like can be relieved to the greatest extent, so that an ecological restoration effect of the lake wetland is improved.

Through discrimination of the scattered signal polarization state, a lidar system measures a distance through semi-transparent media by the reception of single or multiple scattered signals from a scattered medium. Combined and overlapped single or multiple scattered light signals from the medium can be separated by exploiting varying polarization characteristics. This removes the traditional laser and detector pulse width limitations that determine the system's operational bandwidth, translating relative depth measurements into the conditions of two surface timing measurements and achieving sub-pulse width resolution.

An autonomous underwater seismic wave generation system includes a housing, and an autonomous navigation system, a propulsion system and a seismic wave generator, each connected to the housing. The autonomous navigation system can navigate the autonomous underwater seismic wave generation system to subsea locations including a location on a seabed. The propulsion system can drive the autonomous underwater seismic wave generation system to the location on the seabed. The seismic wave generator can couple to the location on the seabed to generate seismic waves at the location on the seabed.

Disclosed is a seepage meter device, which is capable of detecting groundwater seepage fluxes to surface water bodies in a variety of aquatic environments. The device comprises a seepage meter body and an electronics component.