719 results about "River bed" patented technology

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 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 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 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 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 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 hydro-junction ecological flow regulation and control system based on digital twinning, and relates to the technical field of intelligent ecological regulation and control. The system obtains digital elevation data DEM, geometric contour images and coupling power data of a riverbed and a wetland through multi-beam sonar, unmanned aerial vehicle remote sensing and a sensor group; and synchronization and preprocessing are realized in the twinborn simulation model to form a flow evolution data set and a water-sediment power data set. And constructing a dynamic connectivity driving force index Dcl based on the flow evolution data set to carry out flow driving force evaluation, constructing a comprehensive connectivity judgment index Eco to carry out ecological connectivity evaluation under the condition of sufficient driving force, and executing a corresponding regulation and control instruction according to an evaluation result. And dynamic adjustment of hub ex-warehouse flow and long-term maintenance of wetland ecological connectivity are realized. According to the system, real-time monitoring, evaluation and regulation of digital twin driving can be realized under a complex water and sediment power condition, and the guarantee capability of a hydro-junction to a wetland ecosystem is improved.

The invention relates to a spiral conveying type river channel desilting device and a self-adaptive sludge collecting method, and relates to the technical field of river channel desilting, and the spiral conveying type river channel desilting device comprises a spiral conveyor assembly, a collecting opening assembly, a filter screen assembly and a discharging assembly. The device has the effect of avoiding blockage during dredging, the spiral conveyor assembly comprises a spiral shaft, a first driving motor and other assemblies, the first driving motor can drive the spiral shaft to rotate to move and transport sludge, the collecting opening assembly comprises a collecting opening body, a spring adjusting mechanism and other assemblies, and the spring adjusting mechanism is connected to the inner bottom end of the collecting opening body. The spring adjusting mechanism can automatically adjust the opening angle of the collecting opening body according to the thickness of river bottom sludge, and the riverbed is prevented from being damaged due to excessive digging; the filter screen assembly can filter the sludge and isolate solid impurities in the sludge, and the rear end of the collecting opening body is connected with the discharging assembly, so that the solid impurities can be discharged in time, and the sludge is prevented from being blocked and the dredging effect is prevented from being influenced.

The invention discloses a method for calculating leakage flux of a disjointed river, which relates to the field of hydrogeology, and comprises the following steps of: constructing a coupling model integrating river water level, sediment seepage control equation and unsaturated zone seepage under sediment according to the characteristics of riverbed sediment of the disjointed river; according to the method, a suspended waterlogged zone is found to exist under a riverbed, a suspended waterlogged zone migration equation is analyzed by utilizing a coupling equation, the leakage flux of the disjoint river at different moments is invented according to the suspended waterlogged zone equation, and the leakage calculation problem of the disjoint river under the condition of different river water depths can be accurately calculated by the method. The method overcomes the problem of poor precision of leakage estimation by using the upstream and downstream section river flow difference at present, and enriches and develops the theory and method of river bed leakage dynamics.

The invention discloses a cross section water depth continuous measurement method and system based on millimeter waves, and relates to the technical field of hydrographic measurement. According to the invention, through a millimeter wave radar array and a multiple-input-multiple-output antenna, a frequency modulation continuous wave signal is transmitted and a mixed echo signal is received; extracting time-frequency characteristics by using wavelet transform and short-time Fourier transform, and classifying reflection peaks in combination with a Gaussian mixture model; calculating the thickness of an ice layer, the thickness of an air interlayer and an initial water level based on the delay inequality, and dynamically correcting an error through adaptive Kalman filtering; a dynamic focusing algorithm is adopted to synthesize water surface and riverbed reflection signals, and a sand content compensation and flow velocity correction model is introduced to optimize water depth and riverbed elevation inversion; the three-dimensional interpolation weight is optimized through an ant population algorithm, and a high-precision cross section continuous water depth distribution diagram is generated; according to the invention, the problems of poor penetrability, weak anti-interference capability and low continuous water depth precision are solved, and full-section dynamic monitoring of the ice layer thickness, the water level, the water depth and the riverbed form is realized.

The invention discloses a water conservancy project riverway sampling device, and belongs to the technical field of sampling devices.The water conservancy project riverway sampling device comprises a semicircular cylinder, a reset mechanism is connected between the semicircular cylinder and an inner cylinder, and a driving mechanism is installed at the front end of the semicircular cylinder; the top end of the second rod is rotationally connected with a linkage mechanism, and the front ends of the two second blocks are rotationally connected with unlocking mechanisms. Efficient intelligent sampling is achieved through cooperative work of multiple mechanisms, automatic reset positioning of the inner cylinder and the semicircular cylinder is achieved through a torsional spring in the reset mechanism, and it is ensured that the structure of the device is stable before sampling; the design of a motor and a trapezoidal convex block in the driving mechanism is matched with the clutch function of a sleeve, so that the device can freely sink along with gravity, and the precise recovery of the motor can be realized; through transmission of a sliding rod in the linkage mechanism, a riverbed contact force is converted into a mechanical unlocking action, and the inner cylinder is triggered to automatically reset to complete sampling and seal a sample.

The invention provides a riverway safety monitoring method and system, and relates to the technical field of riverway flow monitoring, and the method comprises the steps: obtaining riverbed elevation distribution data of a target monitoring section area, dividing the target monitoring section area into a plurality of flow measurement subareas, obtaining the section parameters of each flow measurement subarea, and determining the flow measurement subareas; a radar flow velocity sensor for collecting river water flow velocity data is arranged in each flow measurement subarea, and a radar water level sensor for measuring first river water level data is arranged in any flow measurement subarea; constructing a hydrodynamic model, and inputting river water flow velocity data to obtain average flow velocity data of the corresponding flow measurement partitions; calculating second river water level data of the remaining flow measurement subareas according to the first river water level data and the riverbed elevation distribution data, calculating instantaneous flow and accumulated flow according to the section parameters, the first river water level data, the second river water level data and the average flow velocity data, and sending out an alarm signal when the accumulated flow exceeds a preset flow threshold. The accuracy of the monitoring result can be improved.

The invention relates to the technical field of river flow monitoring, and discloses a river flow control method and system based on image measurement. The method comprises the following steps: setting a space calibration point through a range finder, establishing a coordinate system, collecting a river image and carrying out geometric correction, calculating a water surface flow velocity by using an optical flow algorithm, calculating a sectional area by combining a water level and riverbed data, calculating an instantaneous flow rate after converting the surface flow rate into a vertical average flow rate, and generating control information according to an ecological flow rate condition. And controlling the opening degree of the water gate, the angle of the guide plate and the submerged adjusting dam according to the control information. According to the method, continuous and accurate measurement and calculation of the monitored section flow are realized based on an image acquisition means, a control mechanism linked with an ecological water demand threshold value is established, and the measurement process is ensured to be completed under a non-contact and remote control condition, so that the method is used for automation, intellectualization and ecological adaptability of water flow control of a dam.

The invention provides a wetland flagship species habitat restoration method based on corridor construction. Belongs to the technical field of wetland ecological engineering. The method specifically comprises the following steps: 1, site selection of a restoration area and comparative background investigation; 2, riverbed stair transformation and local micro-landform construction; 3, seasonal hydrological regulation and vegetation directional assembly; 4, food source organism allocation and bionic nest site building; and 5, corridor coverage type management and control and sustainability evaluation are carried out. The method is clear in principle and high in operability, the ecological corridor between the natural wetland plaques can be effectively constructed through the degraded wetland, targeted supply of food source biological resources is achieved, the construction thought conforms to the close-to-nature restoration concept, and no engineering potential safety hazards or risks disturbing health of ecological systems of natural habitats of wetland flagship species exist.

The present invention discloses a bridge scour single-phase flow calculation method based on a physical information neural network, comprising the following steps: selecting training samples and prediction samples to obtain corresponding coordinate data; inputting the training sample coordinate data into a first neural network for training, outputting the sediment elevation change, and calculating the corresponding riverbed elevation; inputting the corresponding riverbed elevation into a second neural network for training as partial input, and outputting the corresponding flow field parameters; after the training errors of both networks converge, obtaining two trained neural networks in series; inputting the prediction sample coordinate data into the trained first neural network, forward calculating and outputting the corresponding sediment elevation change, and calculating the corresponding riverbed elevation; and inputting the predicted sample riverbed elevation and a randomly selected point within a certain range above the riverbed elevation into the trained second neural network, and forward calculating and outputting the corresponding flow field parameters. The present invention has wide applicability.

The invention relates to the technical field of asphalt concrete core wall rock-fill dam construction, in particular to a joint structure of a concrete diaphragm wall and a core wall base and a construction method of the joint structure. The joint structure comprises an anti-seepage wall assembly, a first core wall base and a second core wall base, the bottom of the anti-seepage wall assembly is poured on bedrock, the first core wall base is arranged at the turning position of a bank slope base and a riverbed base and poured on the bedrock, the end of the anti-seepage wall assembly extends into the first core wall base, and the second core wall base is arranged at the top of the anti-seepage wall assembly; a first contact surface, a second contact surface and a third contact surface are arranged between the diaphragm wall assembly and the first core wall base, the first contact surface, the second contact surface and the third contact surface respectively correspond to three adjacent side walls of the diaphragm wall assembly, and protective layers are arranged in the first contact surface, the second contact surface and the third contact surface; a water stop assembly is arranged at the joint of the second core wall base and the anti-seepage wall assembly; the anti-seepage performance of the asphalt concrete core wall rock-fill dam is improved.

The invention discloses a river water flow measuring device, and relates to the technical field of river water flow measurement, the river water flow measuring device comprises a measuring support frame, the measuring support frame is provided with a folding assembly and a pushing assembly, the folding assembly is provided with a moving assembly and a carrying plate, and the pushing assembly is used for pushing the carrying plate to move towards a riverbed. The measuring support frame is provided with a take-up assembly, the take-up assembly is provided with a measuring device used for measuring river water flow, the moving assembly can drive the take-up assembly to move transversely, and one-key switching from a transportation state to a measuring state is achieved by arranging a foldable folding assembly and an automatic unfolding mechanism. After the controller sends out an instruction, the pushing assembly drives the sliding frame to automatically rotate and unfold, the carrying plate synchronously stretches out and stably makes contact with a riverbed, the whole unfolding process can be completed without manual intervention, the deployment efficiency and operation convenience of the equipment are remarkably improved, and the rapid laying requirements under various topographic conditions are met.