867 results about "River bed" patented technology

The invention provides a riverbed evolution prediction method based on multi-source data fusion, and belongs to the technical field of hydrological resource monitoring. The method comprises the following steps: acquiring and fusing multi-source data by using different devices, performing data preprocessing to form unified three-dimensional grid data, and then generating a multi-scale feature map based on a designed feature extraction network; based on the designed multi-channel convolutional neural network, learning and extracting features on multiple channels at the same time, and performing hierarchical expression and fusion on different information sources; and finally, based on the designed time sequence regression network, extracting a complex dependency relationship in the time sequence through a double-layer LSTM structure, learning residual error information through an adaptive residual error correction module to improve prediction precision, and obtaining a final prediction result. The method shows relatively high applicability and robustness in a complex river channel environment, and can cope with various river bed form changes caused by natural factors and human activities through multi-source data fusion and an innovative feature extraction and regression method.

Disclosed in the present invention is a bridge scour curved surface morphological feature reconstruction method based on three-dimensional sonar point clouds, comprising the following steps: collecting point cloud data of a three-dimensional morphology of an underwater riverbed terrain near a bridge foundation, and acquiring original point cloud data of a complete morphology of an underwater riverbed; performing denoising and ball pivoting reconstruction preprocessing on the collected original point cloud data to complete preliminary reconstruction of point clouds; on the basis of the point cloud data having undergone preliminary reconstruction, performing point cloud binarization-based scour morphology recognition on the basis of a computer vision principle, calculating scour pit element classification values of all the point clouds, and recognizing scour pit point clouds; on the basis of the recognized scour pit point clouds, using a K-means clustering algorithm for clustering, and calculating the maximum depth of each pier scour pit; and on the basis of the obtained scour pit element classification values of all the point clouds, providing a curved surface reconstruction method based on scour recognition to perform high-precision curved surface reconstruction on the scour pits. The present invention can achieve high-precision scour pit morphology reconstruction.

The invention provides a flood scouring damage simulation method for a shallow foundation bridge, which comprises the following steps: S1, riverbed scouring characteristics are analyzed, and data needing to be extracted comprise scouring depth, a pier peripheral flow field and a scouring pit form; s2, establishing a structure model; s3, adopting a point cloud reverse engineering technology and a fluid-solid coupling technology to transmit foundation soil contact and water flow load into the structure model; s4, structural damage analysis under the combined action of the flood and the loaded vehicle; and S5, obtaining a structural safety evaluation conclusion of the bridge under the combined action of flood scouring and heavy vehicle load through simulation and data analysis. The device has the advantages that the scouring effect of flood on the shallow foundation is accurately simulated, the combined action of foundation void and vehicle eccentric load is accurately simulated, multi-physical field coupling among water flow, soil, heavy vehicles and a bridge structure is achieved, simulation is convenient, accurate and rapid, and the cost benefit is high.

The invention relates to the technical field of mountainous river fish habitat habitat restoration, and relates to a mountainous river fish habitat restoration method based on numerical simulation optimization, comprising: acquiring habitat data of a mountainous river fish habitat, and performing preliminary ecological restoration measures on the mountainous river fish habitat; constructing a numerical simulation model to predict the erosion and deposition evolution result of the fish habitat in the mountain river after the preliminary ecological restoration in a set period, and identifying an area of which the erosion and deposition evolution degree meets a preset threshold value in the set period; and carrying out riverbed substrate transformation on the identified area based on the target fish, evaluating the habitat improvement effect under the combined action of the preliminary ecological restoration measure and the riverbed substrate transformation through a habitat suitability model, and completing the restoration of the fish habitat in the mountain river based on the evaluation result. According to the method, dredging, spur dike and substrate transformation are combined, and numerical simulation optimization is combined, so that the effectiveness, continuity and scientificity of restoration of the fish habitat in the mountain river are improved.

The invention provides a dynamic change monitoring method and system based on a multi-temporal river channel image, and relates to the technical field of image monitoring, and the method comprises the steps: obtaining a multi-temporal multispectral remote sensing image and an unmanned plane oblique photogrammetry image; identifying a riverway water body boundary and constructing a water area mask; dense point cloud data are generated and cut; generating a balanced riverbed point cloud through density compensation sampling and local curvature constraint; constructing a terrain model to generate a section sequence; calculating hydrodynamic correlation strength to construct an evolution propagation sequence; and recursively calculating the erosion and deposition change rate and performing early warning. According to the invention, high-precision monitoring and early warning of river form changes are realized.

The invention provides a freezing circle watershed hydrological prediction method and system based on multi-source data fusion, and relates to the technical field of hydrological monitoring and sediment monitoring, and the method comprises the steps: obtaining a vibration signal of the interaction of a water flow and a riverbed and meteorological data in a region, and carrying out the preprocessing; the preprocessed meteorological data and vibration signals are input into a multi-source data fusion model, sequential feature extraction is conducted on the meteorological data and the vibration signals through a multi-layer perceptron in the multi-source data fusion model, the extracted sequential features are fused through a gating circulation unit, and multi-source data fusion features are obtained; and carrying out empirical mode decomposition and Hilbert spectrum analysis on the preprocessed vibration signal to obtain a plurality of signal characteristics such as instantaneous frequency and instantaneous amplitude of the vibration signal, inputting the signal characteristics and the multi-source data fusion characteristics into a hydrological parameter prediction model, and outputting corresponding predicted values of the water flow velocity, the flow and the sediment transport capacity.

The invention belongs to the technical field of bridge safety evaluation, and particularly discloses a method and a system for evaluating local scouring of a bridge pile foundation based on a flow velocity strain rate. A calculation model of a local scouring pit form and a maximum scouring depth of a river-sea crossing bridge pile foundation is established, and a Reynolds stress tensor is converted into a flow velocity strain rate scalar; the method comprises the following steps: providing an erosion-deposition model, analyzing an erosion-deposition rate, establishing a scouring depth relationship, utilizing a sediment transportation model of grid unit storage parameters, simulating dynamic response of a water-sediment mixture, and triggering sediment sliding and updating a riverbed terrain when the dip angle of a scouring pit is at a supercritical slope by virtue of a slump model. All the models cooperate to achieve efficient simulation of local scouring of the pile foundation. According to the method, the form evolution and the maximum scouring depth of the local scouring pit of the single pile and the pile group can be efficiently and accurately calculated, and support is provided for bridge pile foundation design and anti-scouring structure optimization.

The invention discloses a double-row steel sheet pile cofferdam construction method, which comprises the following steps of: before construction, measuring the original riverbed elevation of a cofferdam piling area, organizing steel pipes to enter a site according to a cross-section diagram and a construction sequence of a cofferdam, timely removing and recording if stone blocks and the like at the river bottom are measured in the measurement process, and before construction, checking and maintaining all mechanical equipment, so that the construction efficiency is improved. After entering the field, the steel pipes are stacked according to specifications, varieties and classifications, before pile conveying, the models and the number of the steel pipes used during construction are determined, and the steel pipes are arranged strictly according to the designed section. Compared with a construction scheme of adopting a Larsen steel sheet pile cofferdam and a temporary construction platform, the construction cost, the rental cost, the earthwork transportation cost, the earthwork compaction cost, the earthwork filling excavation filling cost and the like of temporary facilities can be saved, building construction is carried out in a water area needing a large area, the construction period is long, and the construction cost is low. The method is more economical and reasonable when being used for constructing structures in water under the conditions of high water level and the like.

The invention discloses a river sediment scouring and silting simulation method, and belongs to the technical field of hydraulic engineering and hydrological simulation. In order to solve the problem that it is difficult to accurately simulate the river sediment erosion and deposition evolution trend in the prior art, the method comprises the steps that on the basis of actually measured topographic data and channel chart data of a target river reach, a water-sediment coupling mathematical model is constructed by adopting a non-uniform sediment unbalance sediment transportation theory, and the model interacts with a water power module and a wave module in real time through an MCT coupler; actually measuring a flood and water and sediment series data calibration verification model; and obtaining future water and sediment process data predicted by a plurality of climate modes, inputting the future water and sediment process data into the verified model, dividing river reaches according to the characteristics such as riverbed gradient and river channel curvature, and calculating the erosion and deposition amount of each sub-river reach in the future 50 years. The method can simulate water flow and sediment movement of rivers, reservoirs and lakes, can be applied to the fields of riverway regulation planning, flood control and disaster reduction decision making, reasonable development and utilization of water resources and the like, and provides important data support and scientific basis for construction and management of water conservancy projects.

The invention discloses a channel flow velocity measurement error compensation method based on multi-source fusion, and the method comprises the following steps: S1, synchronously collecting flow velocity, position, attitude and environment data, including ADCP radial flow velocity, GNSS position / speed and IMU attitude angular velocity, through a multi-source sensor, aligning multi-source data based on a time synchronization mechanism, and achieving microsecond time synchronization based on PPS time service; according to the method, RTK high-precision positioning and ADCP bottom tracking data are integrated, the water surface elevation and the water bottom distance are inversed in real time, and the actual water depth and the riverbed erosion and deposition rate are dynamically calculated; edge calculation, motion compensation and external compass correction technologies are fused, the flow velocity and flow direction measurement precision is improved, and platform motion and attitude interference is eliminated; multi-source data local fusion processing and real-time generation of a flow velocity thermodynamic diagram and a water level change curve are realized, remote transmission and visualization are supported, and comprehensive and accurate hydrological data support is provided for maritime affair intelligent supervision, navigation safety early warning and digital channel construction.

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 belongs to the technical field of hydraulic structure engineering, and relates to a dam foundation curtain anti-seepage performance evaluation method and system under the action of seepage corrosion, and the method comprises the steps: drawing a hydropower station dam engineering riverbed cross section geometric model, and carrying out the mesh generation of the geometric model to obtain a calculation model; constructing a dam foundation anti-seepage curtain corrosion degradation analysis initial model; coupling a seepage field, a calcium ion transport field and a corrosion field in the dam foundation anti-seepage curtain corrosion degradation analysis initial model by utilizing the calculation model to obtain a permeability coefficient, porosity and a diffusion coefficient; updating parameters to obtain a dam foundation anti-seepage curtain corrosion degradation analysis updating model; whether the permeability coefficient, the porosity and the diffusion coefficient converge or not is judged, and if yes, the anti-seepage curtain structure calcium ion concentration, the solid-phase calcium concentration and the water head corresponding to the parameters are output; evaluating the anti-seepage performance of the dam foundation curtain; and otherwise, carrying out coupling solution on the analysis updating model by utilizing a calculation model. The technical problem of inaccurate calculation results in the prior art is solved.

The invention relates to the technical field of flood early warning, and discloses a drainage basin flood early warning method based on regional data, which comprises the following steps: acquiring rainfall duration of a set region, and calculating a riverbed convergence rate of the set region as an auxiliary function to be fused into a preset BP neural network so as to construct a river reach runoff risk early warning model and output a river reach runoff risk level; the sediment inflow mode and the sediment content of a set area are obtained, the potential sediment risk of the river reach is determined, and the water and sediment risk of the river reach is further determined in combination with the rainfall and the sediment content; and taking actually monitored rainfall and forecast rainfall as driving data, obtaining a predicted water level through the distributed hydrological model, and issuing early warning in the set area in combination with the river reach water and sediment risk. According to the method, the river reach runoff risk early warning model is constructed, the sediment risk level identification mode is determined in combination with the sediment inflow mode, the sediment content and the actual rainfall, the water and sediment disaster risk assessment early warning method considering the sediment effect is provided, and the effectiveness and reliability of flood disaster prevention and control are improved.

The invention relates to the technical field of automatic acquisition, in particular to an automatic riverbed material acquisition control system and method based on Beidou navigation. The method comprises the following steps: acquiring a Beidou satellite multi-dimensional data set; performing original data preprocessing on the Beidou satellite multi-dimensional data set to obtain a Beidou multi-dimensional standard data set; performing multi-source data fusion based on the Beidou multi-dimensional standard data set to obtain riverbed multi-source fusion data; generating a riverbed sampling decision by using the riverbed multi-source fusion data; therefore, through comprehensive application of multi-source data fusion, path optimization and automatic data evaluation, the problems of incomplete data, unreasonable sampling path and low report generation efficiency in the traditional riverbed data sampling process are solved, and the riverbed data acquisition precision, efficiency and intelligent level are improved.

The invention relates to the technical field of river flow regulation and control, and discloses a river flow self-adaptive regulation and control system which comprises a hydrological parameter acquisition module, a water flow characteristic analysis module, a section stability analysis module, a multi-source fusion judgment module, a regulation and control parameter generation module and an additional riverbed coupling analysis and dynamic feedback execution module. The hydrological parameter acquisition module acquires parameters to judge a flow unbalance risk and triggers subsequent analysis; the water flow characteristic analysis module extracts turbulence parameters to evaluate water flow uniformity; the section stability analysis module extracts morphological parameters to predict the erosion and deposition trend; the multi-source fusion judgment module fuses the data to generate a regulation and control signal; the regulation and control parameter generation module generates regulation and control parameters according to the matching strategy; a riverbed coupling analysis module monitors a main stream and riverbed coordination correction fusion index; and the dynamic feedback execution module adjusts the acquisition period and feeds back to form a closed loop. The system realizes the real-time monitoring, risk assessment and self-adaptive regulation and control of the river flow, and improves the scientificity and accuracy of regulation and control.

The invention discloses a bed load sediment transport rate measurement method based on multi-layer sediment acoustic signal attenuation correction of a Doppler velocity profiler, which comprises the following steps: sampling sediment on the surface of a riverbed in an overtopping area of a to-be-measured river reach, and measuring sediment gradation to obtain the median particle size of the bed sediment; obtaining flow measurement data, and extracting ship speed data from the flow measurement data; calculating a riverbed movement speed according to the ship speed data; filtering the riverbed movement speed data, and calculating a characteristic value of the filtered riverbed movement speed data; respectively calculating the vertical projection area ratio of bed load according to the filtered riverbed movement speed data characteristic values; calculating a dimensionless sediment particle size according to the median particle size of the bed sand; calculating the thickness of a bed load layer according to the dimensionless sediment particle size; calculating the volume concentration of the bed load according to the vertical projection area ratio of the bed load and the thickness of the bed load layer; calculating a multi-layer sediment sound signal attenuation correction coefficient according to the bed load volume concentration; and calculating the bed load sediment transport rate according to the multi-layer sediment sound signal attenuation correction coefficient. The bed load sediment transport rate can be accurately and effectively measured.

The invention discloses an estuary region ship lock hydrodynamic simulation method and system, and relates to the field of numerical simulation, and the method comprises the steps: obtaining estuary region ship lock data; hydrological data are collected; according to estuary area ship lock data and hydrological data, a hydrodynamic model based on an Euler-Lagrange circulation model is constructed, and the hydrodynamic model comprises a bottom friction resistance coefficient # imgabs0 # describing the influence of riverbed roughness on water flow movement; utilizing the hydrodynamic model to obtain the simulated flow velocity of the estuary region ship lock through numerical solution; using an ensemble Kalman filtering algorithm, comparing the simulated flow velocity with the actually measured flow velocity, and performing optimization training on the bottom friction resistance coefficient # imgabs1 # to obtain an optimal bottom friction resistance coefficient # imgabs2 #; the optimal bottom friction resistance coefficient # imgabs3 # is used as input, the hydrodynamic model is used for simulating the hydrodynamic process of the estuary region ship lock, and the water flow field change process of the estuary region ship lock is obtained. Aiming at the problem that in the prior art, the bottom friction resistance coefficient cannot dynamically adapt to the complex estuary environment, accurate simulation of the complex hydrodynamic environment of the ship lock in the estuary area is achieved.

The invention provides a water network reconstruction method based on forest water function combination. The method comprises the following steps: identifying water system features and constructing a topological structure; carrying out multi-dimensional forest stand attribute fusion and evaluation; optimizing a water network model based on a circuit theory; the regulation and storage function of the water network is simulated through multiple paths; and constructing a water forest habitat. According to the method, a water system network topological structure is established by adopting a spectrogram convolutional network, a forest-water interaction model is constructed by fusing multi-dimensional forest stand attributes and a circuit theory, a hydrological process is simulated, a riverbed form is adjusted, a water flow dynamic state can be simulated in various situations, the regulation and storage efficiency of a water network under different paths can be evaluated, and a water system layout and a hydrological analysis result are combined to obtain a high-performance water system. The landform transformation is implemented, the problems of water-green space splitting, fragile ecological function, single greening landscape and the like are solved, the effective river network regulation and storage space of green forest land which is green at ordinary times and is water in disaster is increased, the water forest ecological landscape is built, and important tools and strategies are provided for realizing forest-water compounding and improving city toughness.

The invention discloses a riverway dredging method which comprises the following steps: dynamically scanning a riverway along a spiral propulsion path, and obtaining riverbed topographic data and sediment thickness in real time; a three-dimensional riverbed model is established based on the riverbed topographic data, and a core dredging area, a transition maintenance area and an ecological reserve area are divided in the three-dimensional riverbed model according to the sediment thickness; the core dredging area is divided into a surface layer, a middle layer and a bottom layer in the vertical direction, and a differentiated dredging process is executed; carrying out mud-water separation treatment on the dredged material, purifying the separated water, and reinjecting the purified water into the river channel; prefabricated ecological concrete modules are laid on the surface of a dredged riverbed, diversion trenches and biological nests are formed, and the biological nests are filled with polylactic acid / straw composite fiber felts containing local submerged plant seeds. Through spiral scanning, three-dimensional modeling and intelligent partitioning, integration of monitoring, planning, construction and repairing is achieved, accurate dredging is implemented, and the dredging efficiency is improved.

The utility model provides an ecological restoration device for a river channel, which belongs to the technical field of ecological restoration and comprises a support. The first connecting seat is fixedly connected to the lower end of the bracket; the second connecting seat is fixedly connected to the upper end of the bracket; the first rotating rod is rotationally connected to the first connecting seat, and a first chain wheel is fixedly connected to the first rotating rod; the second rotating rod is rotationally connected to the second connecting base, the scraping plate driven by the motor is used for desilting work, the device can efficiently remove sludge and floating objects in a river channel, through the design of the scraping plate and the operation mode of the device, it can be ensured that a riverbed is thoroughly cleaned, meanwhile, interference to the water body and riverbed ecology is reduced, and the water quality is improved. Therefore, the river channel can be kept unblocked, the water quality can be improved, and a healthy living environment can be provided for aquatic organisms.

The invention belongs to the technical field of safety protection of bridge pier foundations, particularly discloses a fabricated protection device for local scouring of a bridge pier foundation and a self-sinking construction method, and aims to solve the problems of insufficient stability, high mounting difficulty, poor long-term adaptability and the like of protection measures in the prior art. The protection device comprises an assembly type protection ring, a concrete ball and a flow limiting vertical ring protrusion. The fabricated retainer is formed by splicing a plurality of retainer units, a transverse U-shaped groove is formed in the inner side of the fabricated retainer and used for limiting and assembling the concrete ball, and self-sinking of the device is achieved through rolling contact of the concrete ball and the outer wall of the pier. The flow limiting vertical ring is fixed to the upper surface of the protective ring in a protruding mode and used for limiting the water flow vortex range. The construction method comprises the steps of early-stage preparation, gravel backfilling, device installation, self-sinking installation, installation inspection and the like. The device is simple in structure and convenient to install, does not need underwater operation, can automatically adjust the position along with the change of a riverbed, keeps long-term effective protection capability, and is suitable for scouring protection of a pier foundation of a built river-crossing bridge.

The invention relates to the technical field of water pollution diffusion prediction, and particularly provides a sewage pollution diffusion prediction method and system, and the method comprises the steps: obtaining river bed topographic feature information, real-time hydrological data and sewage discharge information of a river basin; the river basin is divided into a plurality of river reaches according to the river bed topographic feature information, and then local hydrodynamic parameters corresponding to the river reaches are obtained according to the river bed topographic feature information and the real-time hydrological data; for each river reach, acquiring sediment dynamic characteristics according to the river bed topographic feature information and the local hydrodynamic parameters, and then determining sediment adsorption parameters and sediment release parameters according to the sediment dynamic characteristics; according to the sediment adsorption parameters, the sediment release parameters, the real-time hydrological data and the sewage discharge information, pollution diffusion prediction is carried out to obtain a diffusion prediction result; the method can effectively solve the problem of inaccurate prediction caused by the fact that sediment adsorption parameters and sediment release parameters cannot dynamically reflect hydrological condition changes.

The invention relates to the technical field of bridge pier scour monitoring, discloses an air-water-shore cooperative overwater float type bridge pier scour monitoring system, and belongs to the technical field of bridge safety monitoring. According to the system, an integrated framework is formed by a buoy platform, a shore-based cooperative monitoring station and a cloud monitoring platform. The buoy platform is fixed to a pier through a mooring lead, the underwater sonar module of the buoy platform can scan the terrain of a riverbed at multiple angles, and the overwater module integrates high-precision positioning and video monitoring. The shore-based station is provided with a laser scanner and a high-definition camera to monitor the overwater structure and the macroscopic environment of the pier. The cloud platform serves as a control center, converges the multi-source data of the buoys and the shore stations through a communication network, carries out time sequence correlation and fusion analysis, and dynamically evaluates the scour pit development and the bridge pier structure state. According to the invention, the limitation of a single monitoring mode is broken through, collaborative acquisition and intelligent fusion of air, water and shore data are realized, the comprehensiveness, accuracy and early warning capability of monitoring are remarkably improved, and reliable guarantee is provided for safe operation of bridges.

The invention provides a river sediment physical habitat evolution identification method, device and system and a medium. The method comprises the following steps: acquiring a multi-temporal remote sensing image and hydrological data (flow Q, water level Zw and slope S), screening and other hydrological condition image pairs; extracting a water surface range, and calculating the average width B of the main groove; deducing the average water depth h by using a Manning formula, and calculating the riverbed elevation zbed by combining the Zw; the difference value delta zbed of zbed in different periods is calculated, and the substrate state is judged according to the difference value delta zbed and a threshold value epsilon; and performing segment processing along the center line to output a spatial distribution result. On-site measurement is not needed by relying on conventional data, and consumption is reduced; water level interference is eliminated through equal hydrological condition matching, and comparability is ensured; water depth inversion and differential analysis directly reflect scour deposition and quantitatively reveal rules; long-distance automatic processing improves space-time coverage capability and precision, and provides a basis for river regulation, ecological restoration and drainage basin management.

Disclosed in the present invention is a bridge scouring single-phase flow calculation method based on a physical information neural network. The method comprises the following steps: selecting a training sample and a prediction sample, and obtaining corresponding coordinate data; using the coordinate data of the training sample as input and feeding same into a first neural network for training, outputting a sediment elevation change, and calculating a corresponding riverbed elevation; using the corresponding riverbed elevation as part of input and feeding same into a second neural network for training, and outputting corresponding flow field parameters; after training errors of the two networks are converged, obtaining two trained concatenated neural networks; inputting the coordinate data of the prediction sample into the trained first neural network, performing forward calculation to output a corresponding sediment elevation change, and calculating a corresponding riverbed elevation; and using the riverbed elevation of the prediction sample and randomly extracted points within a certain range above the riverbed elevation as input of the trained second neural network, and performing forward calculation to output corresponding flow field parameters. The present invention has wide applicability.

The invention discloses a hydrological flow and speed measurement method, which relates to the technical field of hydrological measurement and comprises the following steps: selecting a dynamic anchor point in a target speed measurement area, and carrying out anchor point hovering on an unmanned aerial vehicle according to the dynamic anchor point; the unmanned aerial vehicle collects surrounding images of the unmanned aerial vehicle to obtain obstacle data, and a motion route is generated in real time; the unmanned aerial vehicle performs video acquisition on the target velocity measurement area to generate a three-waveband water surface video, and analyzes the three-waveband water surface video to generate an initial velocity distribution diagram; the unmanned aerial vehicle collects riverbed data and water surface fluctuation data of the target flow measurement area, and according to the riverbed data, a riverbed terrain is obtained, and water depth data and a section average flow velocity are obtained; and constructing a three-dimensional water flow model, collecting a movement track of the buoy group and gyroscope data, correcting the three-dimensional water flow model, and outputting a hydrological flow and velocity measurement result. The method has the effects of improving the measurement precision of flow measurement and speed measurement and improving the flexibility and universality when facing a complex water area.

The invention discloses a plane and vertical combination-based Tesla valve tidal river network hydrodynamic reconstruction method, which comprises the following steps of: 1, designing a main seawater upstream channel in a tidal river network into a Tesla valve structural form on the form of a river plane; secondly, in the vertical direction of the river channel, a Tesla valve-like structure is adopted, and a directional flow guide structure is arranged at the position close to a riverbed, so that when the water flow flows towards the ocean, the flow line is smooth, and when the water flow traces upwards from the ocean to the river channel, the water flow resistance is increased; structures similar to Tesla valves are installed at the inflow and upstream positions between the ocean and the river channel, movable assemblies such as gates are not used, salty tide upstream is effectively inhibited, meanwhile, water connectivity is not blocked, the influence on fish migration and ecosystem connectivity is small, and the method is suitable for large-scale popularization and application. High-concentration salt-containing water at the bottom is more effectively blocked, and one-way flow of water and pollutant discharge in a riverway of a tidal river network area are promoted.

When the water level detection device is used, the base is fixed on a riverbed, the density of the graduated scale is smaller than that of a water body, so that the graduated scale can be automatically in a vertical state in the calm water body, the graduated scale can be scratched through the first through hole in the downward moving process of the floating body, and the graduated scale can be scratched through the second through hole in the upward moving process of the floating body. When the water level needs to be determined, the graduated scale can be scratched through the second through hole, so that numerical values on the graduated scale are clearer and not easy to misread, the measuring result can be more accurate by matching with the floating body which is not easy to be influenced by water surface fluctuation, and the scale value of the graduated scale corresponding to the floating body can be observed through the camera device when the water level needs to be determined; as the graduated scale is composed of a plurality of detachable rod pieces, the number of the rod pieces can be adjusted, so that the length and the measuring range of the graduated scale are adjusted, and the graduated scale is convenient to carry after being detached; in general, the water level detection device is larger in measurement range and more accurate in measurement result, and the graduated scale is convenient to carry and can be automatically in a vertical state in a calm water body.

The invention discloses a bed load particle movement velocity measurement method based on Doppler flow velocity profiler sound wave scattering correction. The method comprises the following steps: selecting a measurement river reach, sampling silt on the surface of a riverbed on a floodplain of an unsubmerged area, screening the sampled silt, and calculating the median particle size of the bed sand of the river reach according to the screening result; a measurement area is selected, an ADCP and a matched unmanned ship carrying DGPS are used for constant-speed cruise type flow measurement, and flow measurement data are obtained; calculating a riverbed movement speed according to the ship speed data; filtering the riverbed movement speed data, and calculating a characteristic value of the filtered riverbed movement speed data; respectively calculating a bed load vertical projection area ratio and a bed load scattering correction coefficient according to the filtered riverbed movement speed data characteristic value; and calculating the movement speed of the bed load according to the vertical projection area ratio of the bed load and the scattering correction coefficient of the bed load. According to the invention, the difficulty that the Doppler flow velocity profiler cannot be directly used to measure the accurate movement velocity of the bed load at present is overcome.

The utility model provides a stilling pool tail sill structure based on an arc and a reverse slope and a stilling pool, belongs to the technical field of water conservancy and hydropower engineering, and aims to avoid frequent maintenance of the stilling pool due to accumulation of large-particle bed loads and easiness in damage of a tail sill. The first tail ridge section and the second tail ridge section are connected in sequence; wherein the first tail ridge section is used for being connected with a stilling pool bottom plate section, and compared with the first tail ridge section, the stilling pool bottom plate section is closer to the water flow inlet; wherein the water flow bearing surface of the stilling pool bottom plate section is a flat surface, the water flow bearing surface of the first tail sill section is an arc surface which is sunken towards one side deviating from the water flow bearing surface, and the water flow bearing surface of the second tail sill section is an inclined surface which is sequentially raised in the direction from the water flow inlet to the outflow river channel. The height of the highest position of the second tail ridge section is smaller than or equal to the height of the riverbed surface of the outflow river channel.