201 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 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 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 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 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 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 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 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.

The invention relates to the technical field of water and soil loss analysis, in particular to a water and soil loss analysis and detection method based on multi-source feature analysis, which comprises the following steps: acquiring three-dimensional point cloud data by continuously scanning the earth surface and the water surface of a target drainage basin, and registering, denoising and classifying continuous point clouds to obtain three-dimensional point cloud data; generating a water body point cloud mask and a ground surface point cloud mask; calculating water flow velocity and water flow based on the water body point cloud mask, judging a potential erosion area by combining water body turbidity characteristics, and performing time sequence aggregation; analyzing the multi-temporal elevation change based on the earth surface point cloud mask, inverting the soil erosion amount and identifying the erosion type, and calculating the staged erosion amount; and verifying and correcting the water flow parameters and the erosion information, and outputting an analysis result. Through continuous and overall point cloud data analysis, the integrity and consistency of water flow parameter and erosion area identification are improved, and the method is suitable for fine analysis and detection of drainage basin water and soil loss.

The present application relates to the technical field of storm flood disaster assessment, and specifically provides a storm flood disaster assessment method and system based on multi-scale precipitation data, which comprises the following steps: obtaining a digital elevation model of a target region, calculating a terrain curvature distribution field and an elevation mutation characteristic field, obtaining a terrain vertical gradient zone and arranging a multi-layer ground precipitation observation site group; generating a vertical weight factor according to the altitude distribution of the observation site, combining the radar beam direction with the terrain slope to generate a slope-shielding coefficient; fusing ground-based radar, satellite remote sensing and ground site data, generating a terrain-optimized precipitation field through the vertical weight factor and the slope-shielding coefficient; inputting the precipitation field into a terrain-coupled flood model, combining a water flow path network and a soil infiltration correction mechanism to deduce the spatial distribution of disasters. The present application solves the problem of observation distortion caused by terrain shielding and precipitation vertical differentiation in high mountain and canyon areas, and significantly improves the accuracy and reliability of storm flood disaster assessment.

The invention discloses an ice cover flow water and sediment parameter monitoring device and method, the monitoring device comprises a monitoring assembly penetrating into the ice cover and a driving assembly driving a monitoring rod to rotate, and a plurality of sensors are arranged in a monitoring cavity. The device is fixed on the ice cover layer and can perform continuous monitoring, the monitored data is diversified, the data obtained through multi-point and multiple monitoring is more comprehensive, the shaking of the monitoring rod can be reduced, and the damage of the sensor can be avoided; the monitoring method comprises the following steps: selecting a fixed point monitoring point position, selecting a lake water flow inlet, a central point and an outlet in the field, and selecting a water inlet, a water outlet and a central position of a water tank in a laboratory; determining winter monitoring interval time and type; arranging an in-situ monitoring platform; and carrying out data acquisition and processing. The monitoring device comprises a monitoring assembly penetrating into the ice cover and a driving assembly, and various sensors are arranged in the monitoring cavity.

The application discloses the technical field of soil and water loss protection devices and relates to a soil and water conservation device for reducing river sediment accumulation, which comprises a mounting seat and symmetrically arranged sand taking pool groups, the sand taking pool groups comprise sand storage pools and sand setting pools arranged in sequence, and conveying belts are arranged between the sand storage pools and the sand setting pools; an upwardly protruding and downwardly inclined drainage table towards the two side sand setting pools is fixedly arranged at the top of the mounting seat, a drainage groove downwards inclined towards the two side sand setting pools is arranged in the middle of the drainage table, the drainage groove is communicated with the sand setting pools, and the drainage table and the drainage groove are arranged in sequence according to the flowing direction of the river.

This invention discloses a DEM data correction method that takes into account the characteristics of surface runoff routes, belonging to the field of digital elevation model construction technology. It solves the problem that in some scenarios, region-based DEMs can no longer accurately simulate the surface runoff process, thus preventing DEMs from playing their due role in urban surface runoff simulation. The key technical points are that the method includes the following steps: S1, data preparation: acquiring DEM data of the analysis area and marking the outlet and boundary positions in the DEM raster; S2, marking the flow direction of the raster cell at the outlet location as 0, indicating that the water flow cell of that raster does not flow to other raster cells; S3, finding the raster cells adjacent to the outlet cell and calculating the flow direction of each raster cell according to the principle of maximizing elevation difference. The effect is that this invention covers the key technology of raster elevation value correction based on surface flow direction characteristics, which can improve the application value of DEM data in the field of hydrological analysis.

The utility model provides a kind of for along river's confluent system community reconstruction uses suspension type self-turning plate shunt device, belong to municipal drainage technical field.The device includes fixed in river's intercepting box, hinge in the self-control flap of box top opening, the confluent pipe and drain pipe connected with box, and the sludge discharge pipe of box bottom;Self-control flap bottom is connected with limit spring, can be opened according to water flow pressure / Close automatically;Confluent pipe receives confluent water, drain pipe is connected with inspection well and transports intercepting sewage, sludge discharge pipe cooperates sludge discharge valve and discharges sludge.The device is installed by suspension and adapts space limited scene, need not electric drive to realize sunny day / light rain / heavy rain working condition's accurate shunt, solve sludge blockage problem, with simple structure, installation is convenient, operating reliably Characteristics, can effectively improve along river's confluent system community's rain and sewage shunt effect, protect river water quality.

The invention discloses a binary structure small watershed division method and system based on surveying and mapping, and particularly relates to the field of watershed division. Basic data processing comprises the steps of collecting and preprocessing data such as terrain and remote sensing, establishing a basic database, converting vector contour line data into DEM and filling depression, generating a non-depression DEM, and then determining the water flow direction by adopting a D8 algorithm; calculating accumulated flow to generate a river network; converting a river channel into a vector runoff network, extracting a sub-basin range and drawing, determining a basin outlet by taking an underground river dew point or a karst spring as a dissolution reference and combining a main river channel of a large river, and constructing a complete association system; and finally, through hydrogeological survey, geophysical prospecting, drilling and water pumping tests, underground water system pipeline development conditions are determined, comprehensive survey, geophysical prospecting, drilling and water pumping test results are obtained, an underground water drainage basin boundary is accurately corrected, and an underground water drainage basin distribution diagram meeting actual conditions is formed by combining remote sensing images and an administrative map.

This invention discloses a method for constructing a natural deaerated river channel for travertine conservation, relating to the field of river channel construction technology. The method includes the following steps: S1, determining the water quality at the river's starting and ending points, and determining the target SIc index improvement based on water quality parameters; S2, conducting river topographic measurements, designing the river's direction and slope, ensuring the slope is no greater than 10°; S3, dividing the river into a rapid deaeration section (thin-layer flow section) and a normal deaeration section (thick-layer flow section) based on water quality parameters and design targets. This invention utilizes existing natural topographic conditions, controlling the river's slope, width, bed conditions, and micro-landforms such as waterfalls, to construct, renovate, or expand the river channel, forming a natural river with high carbon dioxide deaeration capacity within a given length. At the river outlet, a landscape water body with macroscopic travertine deposition capacity (SIc > 1) is formed. After the water body enters the conservation area in a dispersed flow, it can form a blue-green colored pool.

The invention relates to the technical field of mountain torrent monitoring, in particular to a mountain torrent disaster real-time monitoring method and system integrating radar and video. Comprising the following steps: respectively acquiring a water velocity signal and a mountain torrent region image sequence through radar equipment and video equipment, and aligning the frequency difference of acquired data through a timestamp calibration mechanism to form a multi-source data set with preliminarily aligned time and space; motion feature vectors and boundary contour features are extracted from the data set, filtering smoothing processing is carried out on the motion features, and noise is removed; correcting timestamp offset, ensuring data time unification, and associating motion features with boundary contour features through space mapping to generate a fusion feature map; calculating the corresponding relation between the water velocity and the boundary contour through the fusion feature map, generating a dynamic hydrological parameter distribution map, marking a high-risk disaster range, generating a comprehensive monitoring report, and determining the mountain torrent disaster state in real time. According to the invention, the real-time monitoring precision and early warning capability of mountain torrent disasters are effectively improved.