249 results about "Streamflow" patented technology

The invention discloses a river flow missing data reconstruction method, which comprises the following steps of S1, constructing a river network topological structure, and quantifying hydraulic correlation; s2, spatio-temporal feature fusion and multi-source information extraction; s3, performing multi-task cooperative flow reconstruction and confidence coefficient prediction; s4, dynamic weighting and result correction of meteorological factors; and S5, performing anomaly detection and model dynamic updating. According to the method, a river flow missing data reconstruction method is set, the steps are mutually fused and used, and topology-aware space-time diagram convolution is performed: a river network topology structure is encoded into a weighted adjacency matrix for the first time, space correlation features are extracted through a diagram convolution network, and the problem that a traditional method ignores hydraulic connection is solved; a multi-task collaborative learning mechanism: synchronously outputting a flow reconstruction value and confidence, combining topological smooth constraints, and realizing reconstruction reliability quantification while ensuring precision; and meteorological dynamic weighted correction: dynamically adjusting the node weight based on the real-time rainfall intensity, and accurately adapting to the nonlinear response of the water flow in the heavy rainfall period.

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 is suitable for the technical field of hydrographic survey, and provides a river and channel water flow velocity measurement method based on video recognition and CFD simulation, and the method comprises the steps: S1, completing data collection and constructing a data set, S2, building a three-dimensional water flow model of a target river or channel, S3, generating a vertical flow velocity distribution model, S4, carrying out the image preprocessing of an obtained video stream, and S5, carrying out the calculation of a vertical flow velocity distribution model. S5, performing target detection on the preprocessed image and calculating an area of the flow velocity, S6, performing optical flow calculation on the extracted specific area and calculating the surface velocity, S7, establishing a distribution relationship between the surface velocity and the vertical velocity, and S8, calculating the real flow velocity of the river channel according to the surface velocity and the vertical velocity distribution. According to the method, the relation between the cross section vertical flow velocity obtained through simulation and the surface flow velocity obtained through calculation of the optical flow method is established, the real flow velocity is finally obtained, multi-source fusion of data is achieved, and the calculation accuracy and the flow velocity measurement precision are remarkably improved.

The invention provides a hydraulic engineering water level monitoring method and system based on artificial intelligence. Meteorological parameters and soil humidity parameters of a cross-basin reservoir group and water level measurement parameters generated by magnetic levitation displacement induction are obtained, dynamic change rules of the parameters are analyzed, and a correlation strength coefficient reflecting the hydraulic interaction between reservoirs is calculated. And the coefficient and a water level measurement parameter are jointly coded, and a cross-reservoir dynamic association map is constructed. And synchronously acquiring real-time water level signals of each reservoir, matching the real-time water level signals with a preset fluctuation feature library, and identifying a water level abnormal interval related to the water flow path node. And in combination with a mapping relationship between the dynamic association map and the abnormal fluctuation interval, determining a water level imbalance risk level, and generating regulation and control instructions including flood discharge path optimization and water storage capacity adjustment according to the water level imbalance risk level. According to the technical scheme, the water level monitoring efficiency and accuracy of the water conservancy project can be improved.

The invention discloses a flood process runoff monitoring method coupled with satellite remote sensing and hydrodynamics. The flood process runoff monitoring method comprises the following steps that unmanned aerial vehicle complete river topography measurement is carried out; river upstream and downstream section hydraulic parameters are obtained; constructing a digital river channel section; batch extraction of satellite remote sensing water surface width; flow calculation parameters are obtained based on the digital river section and the water surface width data; performing remote sensing inversion on the roughness of the complete riverway; and section flow monitoring and historical data inversion. A section of complete river channel is determined as a basic research unit, flow calculation precision is remarkably improved through multi-section synchronous monitoring in combination with river channel slope and roughness change dynamically captured in real time, the flowing process of water flow in the complete river channel is finely described, and the flow calculation precision is improved. The method provides long-sequence and high-reliability flow data for parameter calibration and result verification of a hydrological model, is particularly suitable for describing the flow condition when flood comes, and enables the flow condition to be closer to reality.

The invention discloses a river water level detection method, and relates to the technical field of computer processing, and the method comprises the following steps: S01, presetting a distributed pressure sensor array in each target collection region to obtain underwater pressure data k and real-time water flow data v of a plurality of target collection regions of a river to be detected; s02, establishing a dynamic pressure water level model based on the water flow direction pressure conduction quantity estimation of the plurality of target acquisition areas in combination with real-time water flow velocity and wave period parameters; s03, performing signal attenuation compensation on the underwater pressure data according to the dynamic pressure water level model to obtain initial water level data; s04, multi-source data fusion calibration is carried out on the preliminary water level data, a river water level detection result is generated, and the result comprises a wave height frequency spectrum and a water level change curve after peak elimination correction; and S05, generating a wave energy spectral density map according to the calibrated water level data, performing real-time comparison according to the wave energy spectral density map and a preset threshold value, and performing result return according to a comparison structure. The small-wave-height short-period wave measurement precision and the water level detection reliability are remarkably improved, the intelligent flood prevention early warning and dynamic adjusting capacity is achieved, and it is guaranteed that data collection is accurate and consistent.

The invention discloses a rainstorm ground waterlogging prediction method, device, equipment and product, and relates to the technical field of urban waterlogging prediction.The rainstorm ground waterlogging prediction method comprises the steps that ephemeris and ground observation station data are obtained, the atmospheric moisture delay amount and the high-altitude water vapor conversion factor are calculated respectively, the historical water vapor content is calculated, and the future atmospheric precipitable water amount is predicted; rainfall time distribution data are obtained through rainstorm intensity decomposition; calculating the rainwater overflow amount of the catchment area in combination with the water discharge amount time distribution data of the urban drainage pipe network; and iterative calculation is carried out by using a digital elevation model grid to obtain the waterlogging depth, and waterlogging early warning information is sent out. By constraining the total rainfall amount, the rainfall amount can be effectively constrained by predicting the precipitable water amount based on the satellite ephemeris; the underground pipe network drainage is restrained, and a water flow condition in a pipe channel is simulated by adopting an SWMM model; and finally, the waterlogging accumulated water volume is calculated, constraint verification is carried out on each link of urban waterlogging, and relatively high precision and relatively long timeliness are ensured.

The invention discloses an intelligent cableway ADCP flow measurement method, system and device and a medium. The method comprises the following steps that measurement parameters are obtained; wherein the measurement parameters comprise the initial water flow velocity, the propagation velocity of the measurement sound waves in the sand-containing water body and the volume sand content; inputting the initial water flow velocity and the volume sand content into a preset first flow measurement model to obtain a first water flow velocity; inputting the propagation velocity and the volume sand content into a preset second flow measurement model to obtain a second water flow velocity; obtaining a difference value between the first water flow speed measurement and the second water flow speed measurement, and judging whether the difference value is smaller than a preset threshold value or not; if yes, outputting the average value of the first water flow velocity and the second water flow velocity as the final water flow velocity; if not, the credibility of the first water flow velocity measurement and the credibility of the second water flow velocity measurement are obtained respectively, the first water flow velocity measurement or the second water flow velocity measurement with the high credibility is output as the final water flow velocity measurement, and the method and the device have the advantages of being reliable in data and improving the measurement precision.

The invention discloses a feature point identification method of a river hydrodynamic condition. The method comprises the following steps: S1, hydrological data collection; s2, dividing flow levels and simulating a flow field of each flow level; s3, arranging alternative control sections; s4, determining a target control section; and S5, constructing a correlation function to determine a target feature point. According to the method, historical hydrological and geographic data of a to-be-monitored river reach are utilized, hydraulic engineering simulation software is combined, a target control section is selected and determined by calculating section similarity indexes, relevancy values of all nodes in the target control section are calculated and selected through a constructed relevancy function, and the flow velocity of the nodes is combined; determining alternative feature points, and finally rejecting points influencing navigation, namely target feature points; the identified feature points are optimal monitoring points for arranging the river flow velocity monitoring device, a scientific basis is provided for reasonably arranging flow velocity monitoring points, only the water flow velocity of a limited number of feature points can be monitored, and the hydrodynamic change condition of the whole river can be mastered.

The invention relates to a long water tank mobile surface flow field measurement method, which comprises the following steps: utilizing a river channel local scouring experiment model, the model is a water tank, and the middle part of the water tank is provided with a vertical support rod for simulating a building component; a constant-speed motion traction camera device is built above a water tank, so that a mobile camera moves at a constant speed at a certain inclination angle, meanwhile, water flow in the water tank is shot, and a water flow surface flow field is obtained through calculation according to a shooting result. The method comprises the following steps: performing perspective transformation processing on an obtained image to obtain a continuous front view image, identifying checkerboard control points to position each frame of corrected image, and cutting a tracer particle image by using coordinates of intelligent identification side wall control points. After surface tracer particles are extracted through a morphological method, flow field splicing is carried out on instantaneous flow fields at different moments to obtain a surface flow field in a large range, the problems that traditional fixed flow field measurement is low in precision and small in range are effectively solved, and an effective technical means is provided for hydraulic structure research and water body monitoring.

The invention discloses a real-time simulation and prediction system for river water flow based on digital twinning, and the system comprises the following modules: a multi-source data synchronous collection module which is used for constructing a core hydrological data flow; the data preprocessing module is used for outputting a core driving data stream; the hydrodynamic digital twinning construction module is used for establishing a water level difference driven twinning model; the real-time simulation and assimilation calibration module is used for performing real-time calculation by taking the core driving data flow as a boundary condition and outputting a real-time simulation twin body; the intelligent rolling prediction module is used for generating a multi-section prediction sequence by utilizing an improved Seq2Seq-Attention model based on the real-time simulated twinborn body and the core driving data stream; and the visualization and early warning output module is used for presenting the prediction result and triggering early warning. According to the method, a physical mechanism and a data model are fused, and through dynamic calibration and self-adaptive prediction, the precision, the stability and the prediction period of river flow prediction are remarkably improved.

The invention relates to the technical field of image processing, in particular to an online calibration method and system for hydrological flow data, and solves the technical problem of low flow calculation precision caused by rough window segmentation and illumination interference in the prior art. The method comprises the following steps: collecting a water surface video in a river water flow process, and setting a velocity measurement line area in the water surface video along a water flow direction; according to the gray level distribution of the velocity measurement line area, carrying out illumination state judgment, and according to a judgment result, carrying out image restoration on an illumination abnormal area in the water surface video to obtain a restored water surface video; constructing a space-time image for the repaired water surface video, performing corner detection, clustering corners to divide a plurality of windows, and constructing a window weight for each window; and weighting the texture angle of each window according to the window weight of each window to obtain a weighted texture angle, and calculating hydrological flow data according to the weighted texture angle.

The invention discloses a river flood control influence analysis method based on a graph neural network, and the method comprises the following steps: S1, collecting terrain, hydrology, weather and water flow data, and constructing a graph structure model; s2, generating node and edge features, and forming a graph model; s3, inputting the graph model to a Laplacian network, and generating graph feature representation; s4, combining real-time data updating features, and constructing a dynamic graph model; s5, executing neighborhood sampling, and constructing a local subgraph; s6, inputting an attention mechanism, and generating an attention graph representation; s7, inputting a graph generation module, simulating a flood situation, and generating an expansion graph structure; and S8, training the dynamic graph model, and outputting a flood range, a risk level and flood control measures. According to the invention, graph modeling and reasoning integration of flood control analysis is realized.

The invention discloses a cold region water and sediment function connectivity quantification method. The method comprises the following steps of S1, obtaining basic raster data of a research region and performing preprocessing; s2, determining sources and catchment conditions of rivers in the drainage basin, and performing catchment and sediment transport unit identification on a GEE platform; s3, a D-Infinity (DINF) algorithm is applied to determine the flow direction of watershed water flow, an upslope drainage threshold value is defined, and the contribution area of the unit is obtained based on iterative calculation of the flow direction of watershed water flow and the upslope drainage threshold value; s4, writing the weighting factor of each unit and calculating the component factor of each unit; s5, calculating an uphill component and a downhill component of each catchment and sediment transport unit, and sequentially performing iteration and quantitative calculation in combination with the S3 to obtain high-resolution cold region water and sediment function connectivity raster data of the whole drainage basin; the method breaks through the current situation that the method is not suitable for large-area cold region drainage basin calculation, can analyze the response of thermal erosion to the scale of the cold region drainage basin, can also clarify the complex cold region water and sediment cascade process, and is of great significance to cold region ecological protection and landscape evolution research.

The invention relates to the technical field of rainstorm and flood disaster assessment, and particularly provides a rainstorm and flood disaster assessment method and system based on multi-scale rainfall data, and the method comprises the steps: obtaining a digital elevation model of a target region, calculating a terrain curvature distribution field and an elevation mutation characteristic field, a terrain vertical gradient zone is obtained, and multiple layers of ground precipitation observation station point groups are arranged; generating a vertical weight factor according to observation station altitude distribution, and combining a radar beam direction and a terrain slope to generate a slope direction shielding coefficient; fusing ground-based radar, satellite remote sensing and ground station data, and generating a terrain optimization precipitation field through a vertical weight factor and a slope shielding coefficient; and inputting the precipitation field into the terrain coupling flood model, and deducing disaster space distribution in combination with a water flow path network and a soil infiltration correction mechanism. According to the method, the problem of observation distortion caused by terrain shielding and rainfall vertical differentiation in alpine and valley areas is solved, and the precision and reliability of rainstorm flood disaster assessment are remarkably improved.

The present invention relates to the technical field of thermal power plant wastewater treatment, and in particular to a trash interception apparatus for thermal power plant wastewater treatment. The apparatus comprises a water drainage channel, a barrier mechanism arranged on the water drainage channel, and a sediment collection and holding mechanism arranged on the water drainage channel and on one side of the barrier mechanism. The barrier mechanism comprises a slant trough arranged on the water drainage channel, a built-in rod arranged on the slant trough, a bottom net and a top net that are arranged on the built-in rod, a floating plate arranged on the top net, and an interception assembly arranged at the tail end of the floating plate. The arrangement of the barrier mechanism can effectively cope with water flows at different height in the water drainage channel. The arrangement of the slant trough can effectively cope with water surfaces at different height and can effectively filter out floating matters in the water drainage channel. As the flow rate in the water drainage channel increases, the height of water surface is relatively increased and the position of the built-in rod in the slant trough rises relatively, and vice versa, so that continuous collection of floating debris on the water surface is enabled.

The invention relates to the technical field of hydrographic survey, in particular to a riverway water flow calculation method, which comprises the following steps: acquiring topographic data, hydrological data and roughness data, and constructing a one-dimensional riverway hydrodynamic numerical model; the one-dimensional river channel hydrodynamic numerical model is based on a discontinuous finite element method and a Runge-Kutta time discrete shallow water equation set, and a numerical flux is solved by combining an essential oscillation-free ENO slope limiter and an HLL Riemann solver; aiming at the confluence situation of tributaries in different intervals, the interval flow is calculated by utilizing an iterative method, including initially assuming that the tributary flow is zero, simulating non-tributary outflow by using a one-dimensional river hydrodynamic numerical model, determining the difference between the simulated non-tributary outflow and actual site flow measurement, and adjusting the tributary flow; and iteration is repeated until the error between the simulated outlet flow and the actual outlet flow reaches the preset precision. By constructing a one-dimensional river water power numerical model based on a Runge-Kutta time discrete shallow water equation set, high-precision simulation of river water flow calculation under the condition of branch flow convergence in different intervals is realized.

The invention discloses a tunnel mud burst and water burst intelligent early warning method and system based on multi-modal data, relates to the technical field of tunnel engineering safety monitoring, and solves the problems that in the prior art, the early warning precision is low, the false alarm rate is high, and prevention and control measures are difficult to dynamically match risk positions. According to the technical scheme, the method is characterized in that geological and hydrological multi-modal data are fused to construct a three-dimensional geological and water flow model, and a space-time registration engine is adopted to eliminate positioning errors and guarantee data timeliness; dynamically calculating an inrush risk value in combination with a construction disturbance factor, and quantifying a disaster chain triggering mechanism; according to the risk grade and the space coordinate, automatically mapping a grading prevention and control instruction to realize accurate resource allocation; and the lithology identification rule and the permeability coefficient calculation model are optimized in real time through an event feedback mechanism so as to improve the model precision. The effects that the false alarm rate is remarkably reduced through global accurate early warning, the response speed is increased through dynamic cooperation of prevention and control measures and risks, and construction safety is guaranteed are achieved.

This invention belongs to the field of flash flood and debris flow disaster prevention and mitigation, and provides a method for simulating flash flood and debris flow processes based on rheological evolution characteristics. The method includes the following steps: establishing a generalized numerical model of the target channel; using a CFD-DEM coupled model to simulate the transport process of sediment particles in the generalized numerical model under the action of water flow or debris flow slurry; and, based on the semi-empirical relationship between the drag coefficient and Reynolds number of sediment particles carried by flash floods and debris flows, derived in this invention, realizing real-time adjustment of rheological parameters during the simulated flash flood and debris flow transport process through the bidirectional coupling mechanism of the CFD-DEM coupled model. This invention's method can more realistically simulate the spatial distribution of sediment particles during flash flood and debris flow transport, increasing the accuracy of flash flood and debris flow process simulation, and solving the problem that existing technologies struggle to simulate the rheological evolution phenomenon of flash floods and debris flows caused by changes in volumetric sediment content.

The application discloses a kind of automatic realization small watershed mountain torrent flood flow and inundation prediction method, including steps: step S1, the parameters of the preset basin are obtained, including grid water flow direction, grid slope, basin river network, river network width;Step S2, the CN value and K value of each grid in the preset basin are obtained;Step S3, the flow and confluence of each grid in the preset basin are calculated;Step S4, a mountain torrent inundation model based on the open source model LISFLOOD-FP is constructed;Step S5, the basin flow prediction value and flood inundation range are automatically calculated and output by the mountain torrent inundation model.The present application can realize the automatic real-time prediction from rainfall to flow prediction to inundation range.

The present invention discloses a device and method for simulating the water flow and sedimentation process in a river channel in an arid area. The simulation device comprises an experimental water flume, a river channel simulation component, a first water tank, and a second water tank. At least one drainage outlet is provided at the downstream end of the experimental water flume. The river channel simulation component is arranged in the experimental water flume, and comprises a first simulation layer and a second simulation layer stacked in sequence in an up-down direction. The first simulation layer is paved with finely crushed walnut shells and has a channel with a water inlet near the upstream end and a water outlet near the downstream end. The second simulation layer is paved with gravel. The first water tank is filled with water and is connected to the water inlet of the channel through an inlet pipe. Part of the water flowing into the channel flows to the downstream end, and the other part seeps into the second simulation layer. The second water tank is connected to the drainage outlet of the experimental water flume through the outlet pipe. In this way, the process of the width and depth of a river channel in an arid area decreasing as it moves downstream can be simulated.

The invention discloses a drainage basin water pollution tracing method and system, a terminal and a medium, and relates to the technical field of water pollution tracing. According to the main technical scheme, a water velocity prediction model is constructed; the pollutant concentration in the drainage basin is obtained in real time; when the pollutant concentration at the current sampling moment is greater than the pollutant concentration at the previous sampling moment; collecting the water level height at the current moment; inputting the current water level height into a water velocity prediction model to obtain the current water velocity; constructing a potential pollution source area according to the water flow speed at the current moment, the previous sampling moment, the current sampling moment and the position of the monitoring point; and according to the pollutant list information and the pollutant concentration at the current moment, identifying the pollution source. Therefore, migration path deviation caused by use of a constant flow rate can be obviously reduced, and the accuracy of a traceability result can be improved. Meanwhile, the purposes of quickly responding only at the initial stage of a pollution event, facilitating emergency disposal, reducing continuous full-time simulation and saving computing resources are expected to be achieved.

The application provides a method for determining inflow hydrograph of urban stormwater inlet, which is in line with actual urban runoff conditions and can effectively reduce the error of calculation results. The urban area is divided into multiple sub-regions according to the road network, and the net rainfall is discharged from the stormwater inlet, and the single stormwater inlet in the sub-region is calculated respectively; the urban surface runoff is calculated by using the comprehensive runoff coefficient method, and the runoff coefficient not greater than 1 is used to represent the runoff after the rainfall is intercepted and lost on the ground; for the rainfall in the small urban area, the ground water flow is in the form of slope flow and shallow concentrated flow; the catchment time is the sum of the two, the slope flow with a flow line not greater than 90m is calculated by using the Manning dynamics method to calculate the surface runoff flow time; after the slope flow stops flowing for 90m, the shallow concentrated flow with a water depth greater than 3cm appears at this time, and the stormwater inlet design flow inflow calculation formula is: Q = F * (P - S) / (T + 90) wherein Q is the stormwater inlet inflow, L / min; F is the average catchment area controlled by each stormwater inlet, m 2 .

The present invention relates to the technical field of river section flow field distribution, and specifically to a method for determining river section flow field distribution and an unmanned aerial vehicle (UAV) device. The method includes obtaining the location information of the UAV device based on a positioning component; obtaining the continuous wave signal sent by the ultrasonic radar component and the reflected wave signal corresponding to the received continuous wave signal; determining the surface flow velocity at a preset position in the preset river section corresponding to the location information based on the continuous wave signal and the reflected wave signal; obtaining the laser radar signal emitted by the laser radar component and the target reflected radar signal corresponding to the received laser radar signal; determining the calculated riverbed topography at the preset position in the preset river section corresponding to the location information based on the laser radar signal and the target reflected radar signal; and determining the three-dimensional flow field distribution corresponding to the preset river section based on the surface flow velocity and the calculated riverbed topography corresponding to each preset position. The method has low labor costs and high efficiency, and does not require manual measurement of data such as water flow velocity and water level corresponding to each position in the preset river section.

The present invention discloses a river channel hydrological characteristic area measuring device, which relates to the field of river channel area measurement technology. The device comprises a mobile platform, a counterweight block is fixedly installed on the top wall of the mobile platform, an L-shaped movable frame is fixedly installed on the top wall of the counterweight block, a main controller is fixedly installed on the bottom of the left side wall of the L-shaped movable frame, and a pressure measurement assembly is installed on the top of the left side wall of the L-shaped movable frame. The device measures the hydrological characteristic area of ​​the river channel, and when measuring the hydrological characteristics of the river channel, when measuring the water depth of the river channel, the problem of measurement result deviation caused by the influence of water flow factors will not be caused by the mutual cooperation of various components in the mobile measurement assembly. At the same time, the water entry position of the lifting measuring cylinder can be adjusted. With the cooperation of the flow meter, the water depth and flow velocity of the river can be measured, and the cross-sectional area of ​​the river water can be obtained by calculation. The overall measurement range is large and the measurement results are accurate.

The application discloses a kind of slot wall collapse simulation device, including box, water inlet hole plate, water outlet hole plate, cover plate, air connection water inlet pipe, displacement sensor;Multiple pore water pressure sensors;Cover plate is installed above first area, and is used to close the top of first area;Air connection water inlet pipe is communicated with first area inside;Multiple pore water pressure sensors are placed in the inside of soil sample in second area;Displacement sensor is installed in simulation tank.The device can simulate the migration of water flow in soil sample under different groundwater depths by pressurization, and then cause the process of soil sample collapse;It can test the stability of soil layer conditions in construction area under the action of groundwater, quantitatively evaluate the porosity and water erosion resistance of soil sample;At the same time, it can also approximately infer the depth of possible hole wall collapse, for engineering construction reference, to judge whether soil sample reinforcement is needed and propose appropriate soil sample reinforcement method, reduce the impact of hole wall collapse on project progress.

The utility model relates to the technical field of water conservancy construction, in particular to a cut-off device for water conservancy construction, which comprises a trapezoidal cut-off plate, the cut-off plate is fixed in a river channel and used for cutting off water flow in the river channel, and the top of the cut-off plate is fixedly connected with a top support. The two ends of the top support are fixed to the shores of the two sides of a river channel, and a plurality of drainage channels are evenly formed in the intercepting plate. According to the water drainage device, the water drainage channels are matched with rotation of the adjusting mechanisms in the water drainage channels, the water drainage amount is controlled, during water drainage, the water flow pressure can be dispersed to the adjusting plates, the water flow pressure can be reduced, and the water drainage efficiency is improved. The impact force of the water flow on the adjusting plate is borne by matching with meshing of the driving toothed plate and the adjusting gear and meshing locking of the locking toothed plate on the driving toothed plate, and the situation that the service life of the power equipment is affected due to the fact that the power equipment is subjected to overlarge load during water drainage is avoided.

The present application relates to the technical field of hydrology prediction, and more particularly to a hydrological flow prediction method based on physical enhancement and machine learning. The method comprises the following steps: obtaining hydrological monitoring data of a target basin; setting a backwater toppling threshold and calculating a backwater toppling factor according to the backwater toppling threshold; evaluating the blocking effect based on the backwater toppling factor and recording the water flow blocking characteristics; calculating the target section flow according to the hydrological monitoring data; performing time lag processing based on the target section flow to generate multi-order lag characteristics; constructing a water flow motion inertia feature set using the multi-order lag characteristics; and inputting the water flow motion inertia feature set and the water flow blocking characteristics into a pre-constructed learning regression model to establish a water level-flow nonlinear mapping relationship. The present application can effectively enhance the adaptive prediction capability for complex hydrological phenomena such as water flow inertia propagation, time delay and backwater blocking based on the hydrology prediction technology, and improve the flow prediction accuracy in the flood process and the backwater influence area.

The invention discloses a dam break flood emergency monitoring method and system, and particularly relates to the technical field of flood monitoring. The method comprises the following steps: acquiring real-time topographic change data and hydrological data of a breach and a downstream area at the initial stage of dam break flood, and constructing initial dynamic evolution data of a dam break flood flow channel; the nonlinear bifurcation position of the flood flow channel is identified through a topology analysis method, and nonlinear bifurcation topology feature data is formed; spatial distribution of a sediment accumulation area and an erosion area in the flood flow channel is analyzed based on coupling of sediment migration, and an abnormal bifurcation path of the flood flow channel is determined; acquiring water flow velocity, water level height and sediment concentration data on the abnormal path in real time, and generating abnormal path real-time monitoring data; analyzing a flood diffusion trend according to the abnormal path real-time monitoring data, and generating an emergency response early warning instruction; according to the invention, the monitoring accuracy and the emergency disposal capability of dam break flood disasters are improved.

The application discloses a surveying-based binary structure small watershed division method and system, and particularly relates to the field of watershed division. Basic data processing of the application includes collecting and preprocessing topography, remote sensing and other data, establishing a basic database, converting vector contour line data into DEM and filling in depressions, generating a non-depression DEM, determining water flow direction by using a D8 algorithm, calculating cumulative flow, and generating a river network. The river channel is converted into a vector runoff network, the sub-watershed range is extracted and mapped, the outcrop point of underground river or karst spring is taken as a corrosion reference, the watershed outlet is determined in combination with the main river channel of a large river, and a complete correlation system is constructed. Finally, the development of the underground water system pipeline is determined through hydrogeological investigation, geophysical prospecting, drilling and pumping test, the results of comprehensive investigation, geophysical prospecting, drilling and pumping test are comprehensively considered to accurately correct the boundary of the underground water system, and the underground water system distribution map conforming to the actual conditions is formed in combination with remote sensing images and administrative division maps.