1464 results about "Water depth" patented technology

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 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 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 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 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 discloses a method for simulating the dam break flood process of an earth and rockfill dam containing upstream and downstream reservoir areas and application, DEM data is adopted as a calculation structure grid, breach evolution is achieved by updating the DEM data, and related formulas are established by considering factors such as seepage in the breach evolution. Iteration of each time step length is realized by adopting a mode of directly updating and calculating a grid DEM, a dam body area grid participates in model calculation, driving water depth and flow velocity values of breach evolution adopt corresponding water depth and flow velocity values obtained by directly calculating the last time step length at the breach, and changes of reservoir area water quantity are reflected through reservoir area water depth in each time step length. According to the method, the breach scouring and the upstream and downstream hydrodynamic processes are fully considered, the simulation precision and the calculation efficiency are improved, and powerful support can be provided for dam break prediction and emergency rescue.

The invention provides an ICESat-2 turbid water area sounding correction and water depth inversion method based on optical characteristics of a water body. The method comprises the following steps: S1, obtaining photon data and an optical remote sensing image of a near-shore turbid water research area, and carrying out preprocessing operation on the data; s2, performing spectral sensitivity analysis by acquiring an ICESat-2 photon error value and combining optical characteristics of a water body; s3, constructing an ICESat-2 turbid water area sounding compensation model based on water optical characteristics, and selecting the model preferentially according to evaluation indexes; s4, synthesizing a multi-temporal image, and realizing model adaptive adjustment of different space weight distribution based on the spectral sensitivity difference of the turbid water area; s5, constructing an ICESat-2 and remote sensing image joint inversion water depth model based on turbidity partitioning; s6, spatial interpolation is carried out on a water depth inversion result, residual noise and adjacent pixel differences possibly occurring in the image are suppressed, and continuous water depth is obtained; according to the invention, large-range water depth inversion without field actual measurement work can be realized.

The invention belongs to the technical field of ocean geotechnical engineering, and discloses full-strain range soil body strength characteristic testing equipment and a testing method for simulating a deep sea temperature and pressure environment. The system comprises an integrated probe, a stepping motor, a linear module, a hollow probe rod, a torsion module, a loading platform, a sample box, a water depth simulation system and a temperature control system. The hydraulic source and the temperature controller are used for simulating the deep sea low-temperature and high-pressure environment, the simulation effect is good, soil sample visualization is achieved, static sounding and vane shear tests are combined by designing the integrated probe, the soil permeability coefficient, the consolidation coefficient, the undrained shear strength and the sensitivity are measured, the precision and the efficiency of soil parameter analysis are improved, and the method is suitable for popularization and application. And data complementation, efficiency optimization and precision improvement are realized.

The invention provides an arrangement method of a steel fishway structure capable of automatically pulling and stretching along with water level changes. The arrangement method comprises the steps that the water level difference of an inlet and an outlet of a fishway is monitored in real time; the buoyancy driving assembly is triggered according to the water level difference to drive the steel fishway subsections to move along the rails; calculating the telescopic length based on the water level difference and the fishway base length to ensure that the gradient is within the design range; the track motor is controlled to adjust the cable-stayed angles and gaps of the fishway sections; the gradient error is corrected in real time through the tilt angle sensor; the distribution density and the opening-closing angle of the guide plates are dynamically adjusted according to the flow speed and the water depth, and vortex is inhibited; the water temperature change is monitored, the thermal deformation compensation amount is calculated, and deformation is absorbed through the elastic sealing assembly. The fish passing rate can be increased, the adaptability and stability of the structure are enhanced, and the device is suitable for complex hydrological environments.

The invention provides sampling equipment for water quality monitoring, and relates to the technical field of monitoring sampling, the sampling equipment comprises a control pipe with a middle pipe coaxially arranged, a control groove is formed in the control pipe, two groups of tail sections and head sections which are coaxially arranged are mounted in the control groove, and a gap is formed between each group of head section and tail section; a piston disc is slidably mounted in the control groove, a synchronous rod is coaxially mounted on the piston disc, two through grooves are formed in the piston disc, and the through grooves and the head section are coaxially arranged. The sampling efficiency is improved due to the design, and the problem that sampling at different depths can be completed by lowering traditional equipment for multiple times is solved.

The invention relates to an internal solitary wave identification and amplitude inversion method in mode data based on machine learning, and belongs to the technical field of ocean observation. In combination with a Mask-RCNN and a variational auto-encoder, firstly, sea surface height data is preprocessed and imaged, texture features are extracted through a local binary pattern algorithm, a labeled data set is constructed, model training is performed, and internal solitary wave stripes and positions thereof are identified from the labeled data set; through extraction and processing of temperature field data, the temperature field at the water depth is inversed by using a variational auto-encoder; and extracting the amplitude of the internal solitary wave in the temperature field based on the internal wave identification result. According to the method, large-scale and refined ocean mode data can be efficiently and accurately processed, and the efficiency and accuracy of data processing are remarkably improved. The method has a wide application prospect, and especially in marine disaster early warning, marine scientific research and internal wave mechanics research, the automatic identification and amplitude extraction capability of internal waves can be greatly improved.

The invention relates to the technical field of data processing, and provides a resistance line-associated underwater bench blasting numerical simulation error correction method, which is characterized in that land and underwater measured data are matched through the same resistance line and similar material parameters, and the resistance line and the water depth are used as basic input of an error prediction model; a reference basis is provided for error correction of subsequent numerical simulation; calculating a target result in combination with a prediction error after initial simulation, comparing a simulation result with the target result during iterative simulation to generate an iterative error, and analyzing and determining sensitivity coefficients of different error classifications in a resistance line and the iterative error so as to adjust material parameters to reduce an invalid iterative process; simulation results are processed according to stress areas in a zoning mode through an equidistant slicing method, adjustment precision is verified in combination with the root rate and the damage area, and the reliability of the simulation results is improved; and meanwhile, parameter data passing verification are input into a back propagation neural network, a correction parameter mapping library is constructed, and the design efficiency of an underwater blasting scheme is improved.

The invention discloses an underwater delta erosion and deposition evolution analysis method based on water depth data, and relates to the technical field of ocean engineering, the underwater delta erosion and deposition evolution analysis method comprises the following steps: collecting section actually measured water depth data, remote sensing data and hydrological data over the years of an underwater delta in a research area, and preprocessing to unify a coordinate system and an elevation datum; and establishing a water depth database of the underwater delta of the crossheading petals by utilizing the preprocessed actually measured water depth data, and covering all stages of the construction period and the discarding period. According to the method, multi-temporal remote sensing data and section actually-measured water depth data over the years are integrated, a space-time continuous database covering the whole period from the construction period to the discarding period is constructed, seven-parameter coordinate conversion and the Kriging interpolation technology are combined, a data missing area is effectively filled up, a continuous water depth surface with the spatial resolution smaller than or equal to 50 m is generated, and the method is suitable for large-scale popularization and application. Dynamic monitoring limitation caused by data faults in traditional research is broken through, erosion and deposition evolution analysis is changed from fragmented observation to systematic tracking, and data support is provided for accurate evaluation of seabed stability.

The invention provides a method for improving flood inundation simulation precision based on fusion of VGI data and optimization of DEM, and the method comprises the steps: selecting HEC-RAS as a flood inundation simulation model, and inputting data including DEM data, river flow data, precipitation data and land coverage type data; according to a Manning coefficient range table provided by the land coverage database, setting corresponding Manning coefficients for different coverage types, and preliminarily setting the Manning coefficients as the median of each coverage type; the Manning coefficient setting is iteratively adjusted by comparing the difference between the simulation result and the actual water depth data; establishing a relation chain between the extracted water depth information and the submerged simulated water depth; height measurement data of a land observation satellite is combined with the COPDEM to estimate a residual error between the COPDEM at a water depth point position and a real elevation, and a conversion relation is established between extracted water depth and simulated water depth of a relatively optimized DEM according to an elevation difference value between the DEM and the COPDEM. Based on the technical scheme of the invention, the simulation precision is obviously improved, the VGI data is successfully combined with the optimized DEM, and the accurate correction of the Manning coefficient is realized.

The invention discloses a riverway water quality detection device, and relates to the field of water quality detection, the riverway water quality detection device comprises a support and a base fixedly installed at the upper end of the support, the base is provided with an air pump, the air pump is communicated with a floating box through an air inlet pipe I, the floating box is installed on the support in an up-down sliding manner, and the floating box is fixedly connected with water quality detection equipment; a deflation valve is installed at the upper end of the buoyancy tank, and a first drainage valve is installed at the lower end of the buoyancy tank. The riverway water quality detection device has the beneficial effects that the water depth position of the water quality detection device is adjusted by changing the underwater buoyancy of the buoyancy box, and a conventional lifting mechanism such as a transmission belt or a screw is not adopted to adjust the height, so that the riverway water quality detection device is not influenced by an underwater complex environment, and normal underwater lifting of the riverway water quality detection device is not influenced even if garbage is wound; the reliability and the stability of the riverway water quality detection device are greatly improved, and the failure rate is low.

The invention discloses a method for evaluating the dynamic suitability of a fish habitat, which considers the characteristic that habitat habitat factors such as annual non-constant water depth, flow velocity and water temperature of a river have dynamic changes, and evaluates the dynamic suitability of the fish habitat according to a dynamic response curve of fish habitat suitability to habitat factor changes. Calculating the suitability of each region in the river and the change process of the weighted available area in the year, on this basis, counting the suitable days of each region in the river in the fish spawning stage, calculating the time satisfaction coefficient in the suitability interval and the duration days of the suitable time, and describing the change curve of the dynamic suitability total area in the year. According to the calculation method, the adaptability of the fish spawning stage to the river in the whole year can be more reasonably evaluated, so that the operation of ecological scheduling is more scientifically guided.