347 results about "Streamflow" patented technology

The invention relates to the technical field of water level surveying devices, and discloses a hydrogeological multi-layer underground water level surveying device and a surveying method.The hydrogeological multi-layer underground water level surveying device comprises a support and a water sampling barrel, the support is provided with a winding mechanism, and the winding mechanism is used for adjusting the sampling height of the water sampling barrel; the upper part of one side of the water sample sampling barrel is communicated with a liquid inlet pipe, and the bottom of the water sample sampling barrel is fixedly connected with a balancing weight. In the sampling process, large-particle impurities in water are blocked through the filter screen, the impact force of water flow can be converted into the rotating force of the blades, the rotating shaft and the scraping rod, the function of automatically cleaning the impurities in the sampling process is achieved, and the rope winding condition caused by uncontrollable winding position is prevented through the adjusting mechanism; the dustproof mechanism prevents dust and stones from falling into the hydrological hole to affect sampling of a water sample in the surveying process, and the highest water level in the hydrological hole can be accurately known through the water level monitoring mechanism.

The invention discloses a flood inundation calculation method and device suitable for a humid mountainous area and a medium, and the method comprises the steps: S1, carrying out the sub-basin division of a target region, and setting a model calculation range; s2, on the basis of a three-water-source Xinanjiang model framework, a lumped hydrological model of each sub-basin is constructed, through hydrological similarity analysis and confluence unit line calculation of each sub-basin, hydrological model production and confluence parameters are calibrated, and the calibrated model parameters are transplanted to each sub-basin; s3, on the basis of an alternative implicit ADI algorithm, a two-dimensional hydrodynamic model is constructed, the roughness value of the model is optimized, and the roughness value is used for calibrating model parameters of the two-dimensional hydrodynamic model; and S4, coupling the three-water-source Xinanjiang model with the two-dimensional hydrodynamic model, and carrying out flooding calculation in the whole process of runoff production, confluence, evolution and overflow. According to the invention, evolution and overflow of flood in a complex terrain can be accurately simulated, and the flood inundation range, depth and water flow states at different moments can be accurately calculated.

The invention discloses a river water surface two-dimensional flow field reconstruction method based on effective tracer detection and tracking, and the method comprises the steps: carrying out the distortion correction of an original video image sequence, and setting an ROI region according to the water level detection river water surface range; the method comprises the following steps: collecting a multi-scene floating object data set, screening floating objects with high relative brightness and clear outlines in different scenes, and training a YOLO model to detect the floating objects on the surface of a river; using an OCSORT matching tracking method to track adjacent frames of targets to obtain a trajectory, and filtering according to the length, angle and variance of the trajectory to obtain a stable trajectory; according to the method, object information obtained through target detection is utilized, according to the area, the area change rate and the length-width ratio of a floating object on an image, the following performance and stability of the floating object are evaluated, a track fusion weight is calculated, and the influence of unreliable floating objects is reduced; and gridding the river surface area after orthographic correction, and for a grid with a plurality of tracks, calculating the average flow velocity of the grid according to the confidence coefficient of each track to obtain a gridding two-dimensional flow velocity vector field. The method can accurately identify the floating object which meets the requirements of visibility, following performance and stability on the river surface as an effective water flow tracer, and is suitable for measuring the flow velocity of the river surface in complex scenes such as night, storm, flare, shadow and the like.

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 water ecological health monitoring method and a river water ecological health monitoring system, relates to the technical field of ecological health monitoring, and aims to solve the problem that a traditional water quality monitoring method mainly depends on water sample collection and laboratory analysis, and judges the water quality by measuring indexes such as dissolved oxygen, pH value, ammonia nitrogen, total phosphorus, heavy metal and dissolved organic matters in water; the river runoff is calculated from the precipitation and the drainage basin area, and the monitoring points are set in combination with the environmental information, so that an accurate data basis can be provided for subsequent water quality health assessment. The water quality condition is predicted by utilizing the water flow speed and the pollution point discharge amount and then compared with an actual monitoring result, so that potential problems can be found in time and a monitoring strategy can be optimized.

The invention provides an urban road ponding monitoring and drainage system. The urban road ponding monitoring and drainage system comprises a monitoring module which collects ponding depth, water velocity, rainfall intensity and field image data in real time; the initialization configuration module sets parameters such as an accumulated water depth threshold value; the data transmission module encrypts and transmits data to the central control module; the model algorithm optimization module constructs a three-dimensional ponding diffusion model and outputs a predicted ponding depth and an optimized drainage strategy; the central control module generates a drainage pump rotating speed instruction and the like; the drainage execution module dynamically adjusts drainage pump power and a drainage path; the self-checking and fault-tolerant module calculates a health index of drainage equipment and switches redundant equipment; the early warning module sends risk level information; and the interaction module displays information such as a real-time accumulated water thermodynamic diagram. The urban road drainage efficiency can be improved, the water accumulation risk is reduced, and smooth urban traffic and public travel safety are guaranteed.

The invention discloses a river water pollution real-time tracing method, which comprises the following steps: obtaining a pollution source position of a river basin, obtaining a pollutant type discharged by a pollution source, and obtaining pollutant particle parameters and pollutant types; obtaining a river connection relation of the river basin, and confirming an input flow and an output flow of pollutants; based on the output flow of the pollutants, the pollutant type of the river basin is obtained, and the input flow of the pollutants is obtained; obtaining a theoretical pollutant level based on the theoretical water flow velocity and pollutant particle parameters of the river basin; based on the actually measured pollutant concentration and the actually measured water flow velocity, acquiring an actually measured pollutant level; and obtaining the pollutant source based on the actually measured pollutant level and the theoretical pollutant level. The problems of difficulty in real-time detection and insufficient traceability precision in a water pollution analysis method based on sampling in the prior art are solved. The traceability speed and precision are fully improved, and various hydrological conditions in rivers can be handled.

The invention discloses a simulation-optimization method for a pollution site groundwater pumping-injection-treatment pollution remediation system based on a multiform evolution search normal form. The method comprises the following steps: constructing a groundwater flow model and a pollutant solute transport model; the method comprises the following steps: determining a management objective function and constraint conditions of hydraulic control of an underground water pollution range, establishing an underground water pollutant treatment model, optimizing underground water pumping and injection treatment of a pollution site by adopting BLMFO, solving the problem of interdependence between an upper-layer global target and a lower-layer local target through nested optimization, and constructing an auxiliary task by utilizing MFO; state variables are updated through the groundwater flow model and the pollutant solute transport model, a management objective function value of the groundwater pollutant treatment model is calculated, and whether constraint conditions are met or not is judged; meanwhile, decision variables are selected by optimizing the groundwater pollutant treatment model, and state variables are updated by returning to the groundwater flow model and the pollutant solute transport model.

The invention relates to the technical field of environment monitoring, in particular to an underground water monitoring and early warning method and system based on multi-source data fusion, and the method comprises the following steps: obtaining water quality, flow velocity, temperature and pH value data, adjusting the collection frequency, verifying the state of a sensor, forming a water quality and geologic feature data set, analyzing rainfall, air temperature, permeability and water flow dynamic state, and obtaining a water quality and geologic feature data set. And generating a seepage trend, identifying a pollutant diffusion path, range and main path, evaluating a diffusion rate and influence, and generating a pollution diffusion early warning level in combination with permeability and risk standards. According to the invention, through fusion analysis of multi-source data, determination of the correlation between an underground water flowing mode and water quality change, timely capturing of the influence of meteorological change on underground water, accurate evaluation of pollutant diffusion path, rate and influence range, improvement of timeliness and accuracy of pollution early warning, and improvement of monitoring response speed through automatic data processing. And timely and accurate decision support is provided for groundwater resource management and pollution control.

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 belongs to the technical field of water pollution prevention and control, and particularly discloses a method for simulating and predicting underground water pollution of a karst area with multiple media. The method comprises the following steps: carrying out a water pumping experiment, geophysical exploration and a field tracing experiment, and determining the connectivity of a fault and a karst pipeline, the water flow velocity, the average water flow velocity of the pipeline, the connectivity of the pipeline and a branch structure; constructing a matrix three-dimensional unsteady-state groundwater flow equation, and determining the area and duration of a pollution source, a characteristic pollution factor and a leakage concentration; hydrogeological parameter calibration is carried out based on the groundwater unified measurement water level; taking the weighted variance of the monitored water level, the spring flow and the spring solute concentration as a calibration objective function; the fixed supply coefficient is converted into supply intensity, and the long observation hole water level fluctuation condition, spring flow and the concentration of pollution factors in spring water are predicted on the basis of unsteady flow simulation. The karst spring and water quality evolution can be accurately predicted, and a decision basis can be provided for protection and restoration of underground water resources in the karst area.

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 relates to the technical field of pollution tracing, in particular to an underground water pollution tracing method and system based on sewage pipeline data, and the method comprises the steps: obtaining the water flow and mineral dissolution content of a monitoring well; acquiring all suspected downstream monitoring wells of each monitoring well; analyzing the fluctuation similarity of the water flow and combining with the mineral dissolution content to obtain a plurality of monitoring wells contained in each underground river reach; the intersection condition of the underground river reach is analyzed to obtain a plurality of tide suspected communication points and a plurality of marked wells thereof; the high water flow date of each marked well of each tide suspected communication point is obtained; judging the independence of the trend of the mineral dissolution content to obtain a plurality of tidal well channels and communicated river reaches thereof; and connecting an underground river section for pollution tracing. The invention aims to solve the influence of unclear upstream and downstream of an underground river and well channels existing between different underground river reaches on traceability, and realizes accurate groundwater pollution traceability.

A fault zone underground water migration dynamic monitoring method comprises the following steps: step 1, acquiring geological information, rock stratum physical and mechanical properties and fault zone morphological characteristics of a to-be-monitored area; 2, drilling holes in the periphery of a fault zone and a tunnel construction area, arranging a fault groundwater data acquisition device, acquiring hydrological data in real time, establishing a three-dimensional visual platform by utilizing detected geological and hydrological information, and monitoring the hydrological information in real time; 3, according to the geological parameters obtained through detection, a fine numerical simulation model is established through numerical analysis software; 4, the monitoring center judges the water flow state and the early warning level through three data values, namely the safety threshold value S, the limit threshold value W and the measured value A. The invention further provides a fault underground water data acquisition device. Based on the Internet of Things technology, underground water flow velocity, flow, water level and other characteristics of a fault zone are collected in real time, a model is established, the collection frequency is dynamically adjusted, and an early warning mechanism is established according to a numerical simulation result.

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 provides a radar flowmeter with environment compensation and a compensation method, and relates to the technical field of measurement, the radar flowmeter comprises an environment compensation module and a monitoring module; the environment compensation module is arranged on the upper shell and is used for monitoring rainfall and wind speed; the monitoring module is arranged on the lower shell and used for monitoring the water level and the flow. The upper shell and the lower shell are fastened through bolts. The compensation method comprises the steps of obtaining a rainfall signal and a humidity value; judging whether the current environment is rainfall or local dripping based on the rainfall signal and the humidity value; and when it is judged that rainfall exists, the section flow of the river channel is dynamically compensated. According to the radar flowmeter with the environment compensation function and the compensation method, high-precision and real-time water flow monitoring can still be achieved under the complex weather conditions such as rainfall and strong wind, and the radar flowmeter with the environment compensation function and the compensation method have remarkable technical advantages and application prospects.

The utility model discloses a multi-parameter water quality monitoring device which comprises a circular bottom plate, a plurality of transverse rods are fixedly connected to the side face of the circular bottom plate, one end of each transverse rod is fixedly connected with a floating ring, a circular shell is fixedly installed on the upper surface of the circular bottom plate through screws, and a supporting plate is fixedly connected to the inner wall of the circular shell. And one side of the support plate is fixedly connected with a detection cylinder. A floating ring and a water suction pump are arranged, the floating ring provides buoyancy to enable the device to float on the water surface, a sampling pipe is inserted into a river and moves along with water flow, in the moving process, an extraction pipe extracts river water for analysis and detection at set intervals, the device floats all around, monitoring sites are different, and the purpose of random monitoring is achieved. Meanwhile, river water in different environment sites can be detected, the detection result is more accurate, workers do not need to carry out routine sampling on different river basins of the river, and more time and labor are saved.

The invention discloses a flood flow early warning method, a controller, a storage medium and a program product, and relates to the field of hydrological monitoring and disaster early warning. By adopting the technical scheme, after an emergency flow meter emits a first frequency modulation continuous wave to the water surface at the current position, the controller receives a first signal reflected by the water surface and analyzes the spectrum characteristic of the first signal; therefore, the stratified flow phenomenon of the water body is effectively identified. After the emergency flow velocity meter emits a second frequency modulation continuous wave to the water surface at the current position, the controller receives a second signal reflected by the water surface, determines the surface flow velocity and the subsurface flow velocity through the first signal, the second signal and a preset flow velocity calculation formula, and calculates the comprehensive flow velocity by combining the water flow layering coefficient; and finally, flow calculation is performed according to the section coefficient and the actually measured water level. According to the multi-level flow velocity measurement and analysis method, the accuracy of flood flow calculation is remarkably improved, when the instantaneous flow exceeds the preset flow threshold value, early warning is given out in time, and important support is provided for flood prevention and flood fighting.

The invention relates to the technical field of water quality monitoring, and discloses a discharge outlet tracing method and system based on water quality monitoring, and the method comprises the steps: dividing a to-be-detected water area into an upstream region, a midstream region and a downstream region according to the flowing direction, respectively collecting water quality monitoring data, and taking the region with the abnormal water quality monitoring data as a first discharge region; taking an upstream water area of the first discharge area as a second discharge area, and determining a final discharge area according to the water quality monitoring data of each sampling point in the first discharge area and the second discharge area; according to the water body parameters of the final discharge area, the sampling point spacing and the sampling frequency are determined, the sampling point spacing is adjusted in combination with the environmental parameters, and the sampling frequency is adjusted according to the pollutant concentration change at different time; and generating a concentration change curve of pollutants along with the water flow direction according to the water quality monitoring data of the finally adjusted sampling points, and determining the specific position of a discharge outlet. According to the invention, accurate discharge port positioning is realized.

The invention relates to the technical field of risk evaluation index systems, in particular to a concrete dam flood risk evaluation index system construction method. The method comprises the following steps: carrying out flow velocity gradient analysis on river channel data of an upstream area of an earth dam to obtain river channel rainy season flow velocity gradient data; performing water depth increment rate calculation on the flow and flow velocity gradient data in the rainy season of the riverway, and performing stratified pressure water flow impact simulation calculation among different water depths to obtain stratified pressure water flow impact data; performing fatigue limit load strength estimation on the concrete dam structure design data according to the layered pressure water flow impact data to obtain fatigue limit load strength estimation data; performing flood risk level prediction on the fatigue limit load intensity estimation data to obtain flood risk level data; and carrying out risk evaluation system construction on the flood risk level data to obtain a flood risk evaluation system. According to the method, the risk evaluation index system technology is optimized, so that the risk evaluation index system technology is more perfect.

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 belongs to the technical field of water conservancy projects, and particularly relates to an analysis method and device based on branch manifold hydrographic characteristics. The method comprises the following steps: step 1, establishing a water flow model; 2, discretizing an equation set of the model; step 3, carrying out mesh generation on the model, and encrypting a mesh near a tributary junction; 4, water flow model verification is carried out, so that calculation parameters are obtained; and 5, applying the two-dimensional water flow model conforming to simulation precision to simulation calculation of actual engineering, analyzing the influence of factors in two aspects of tributary flood convergence and hub flood diversion on channel water flow conditions, and analyzing navigation conditions to obtain reasonable ranges of longitudinal flow velocity and transverse flow velocity in the channel. By deeply analyzing the water flow characteristics of the tributary junction, the processes of water flow dynamic, sediment movement, riverbed evolution and the like of a river system can be more comprehensively known.

The invention relates to the technical field of water environment detection, in particular to a sampling device based on arid region water environment detection, which comprises a sampler, a protection unit is mounted on the lower side of the sampler, and a side suction unit is mounted on the protection unit. A plurality of elastic bottom-touching-preventing rods are adopted to support the sampling barrel, the water inlet pipe is prevented from being too close to a river bottom sediment layer, meanwhile, the water inlet pipe arranged laterally is adopted to extract a water sample in a side suction mode, disturbance of water flow to river bottom sediment is reduced, and the lower portion of the water inlet pipe is protected through an impurity blocking set; by means of the multi-stage device for preventing silt from being synchronously extracted, the normal sampling flow speed is maintained, meanwhile, it is avoided that too many impurities such as alkaline substances exist in a sampled water sample, and detection of the water body is affected, and the water body sampling detection accuracy is effectively improved. The inner cavity of the sampling barrel is divided into the two independent sampling cavities through the isolation plate, and the two piston extracting pieces are matched for extracting in sequence, so that independent collection of two water bodies with different depths can be completed through single-time lowering.

The invention discloses an arid region river flow deposition process simulation device and method, the device comprises an experiment water tank, a river simulation assembly, a first water tank and a second water tank, the experiment water tank is provided with an upstream end and a downstream end in the length direction, and the downstream end is provided with at least one water outlet; the riverway simulation assembly is arranged in the experimental water tank and comprises a first simulation layer and a second simulation layer which are sequentially arranged in a stacked mode in the vertical direction, the first simulation layer is formed by laying at least one of multiple first filling sediments with different components and / or thicknesses, and a channel with an upward notch is formed in the middle of the first simulation layer; the channel is provided with a water inlet close to the upstream end and a water outlet close to the downstream end, and the second simulation layer is formed by laying at least one of a plurality of second filling sediments with different components and / or thicknesses; the first water tank is connected with a water inlet of the channel; the second water tank is connected with a water outlet of the experimental water tank; therefore, the accuracy and repeatability of the experiment are improved, and the application range is expanded.

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.