370 results about "River section" patented technology

The invention provides an intelligent management method for natural resource engineering data, and relates to the technical field of data processing, and the method comprises the steps: inputting a time-space coupling model into real-time weather forecast data, simulating water distribution schemes under different rainfall scenes, automatically recognizing a river reach position of which the ecological flow is lower than a design threshold value, and carrying out the calculation of the river reach position. In combination with a historical water replenishing strategy case library, generating a multi-objective optimization scheduling scheme including a water replenishing time sequence, a water replenishing path and a water replenishing amount; three monitoring points are arranged at a downstream section of an ecological protection area, a flood control section and a canal head of an irrigation area in a drainage basin, and ecological flow, flood control section water level and canal water level data are monitored in real time respectively; and dynamically correcting the water supplementing time sequence, the water supplementing path and the water supplementing amount in the multi-objective optimization scheduling scheme to obtain a corrected scheduling scheme. According to the method, refinement and toughness of drainage basin water resource management can be improved.

The invention provides a river pollutant traceability method and a river pollutant traceability system. The method comprises the following steps: constructing a potential pollution source feature fingerprint database fused with an LSTM time sequence feature extraction model, carrying out abnormal water quality fingerprint identification on a monitored river reach, if identification is abnormal, collecting an upstream water sample, detecting to obtain a water quality fingerprint, comparing the water quality fingerprint with the abnormal water quality fingerprint, determining a target river reach according to a comparison result, and determining the target river reach according to the comparison result. The method comprises the following steps: sampling all enterprises of a target river reach in real time, comparing detection result data with detection result data of an abnormal water sample, determining potential pollution sources according to a comparison result, determining high-matching candidate sources from the potential pollution sources by utilizing an LSTM (Long Short Term Memory) time sequence feature extraction model, carrying out space transition verification on the high-matching candidate sources, and carrying out space transition verification on the high-matching candidate sources. And determining the pollution source according to the verification result. According to the method, the accuracy, efficiency and result reliability of tracing the river pollutants can be effectively improved, and the scenes of multi-source pollution, intermittent emission and the like of complex rivers can be effectively handled.

The invention relates to an intelligent regulation and control system for multi-phase conversion of water quality of a gate-controlled river reach, in particular to the field of water treatment, and realizes accurate dynamic perception of the multi-phase conversion process of the water quality of the gate-controlled river reach by constructing a high-fidelity digital twinborn body and fusing a real-time data assimilation technology; by means of a time-space diagram neural network agent model based on an attention mechanism, the system can predict a complex time-space pattern of pollutant concentration field and phase evolution under different regulation and control strategies in an ultra-fast manner; on the basis, a multi-agent reinforcement learning algorithm is adopted to automatically generate a globally optimal gate group coordinated regulation scheme, and multiple targets of water quality improvement, ecological protection, engineering operation and the like are effectively coordinated; and finally, a theoretical strategy is reliably converted into a physical action through rolling optimization and a closed-loop execution mechanism, and adaptive adjustment can be performed according to environmental feedback, so that the emergency response speed of sudden water pollution events, the scientificity of regulation and control decision and the intelligent level of water quality management of the whole river network are comprehensively improved.

The invention belongs to the field of water resources and water ecological protection, and aims to provide a water resource collaborative configuration reservoir ecological flow checking and scheduling method, so as to scientifically and reasonably check the ecological flow target, realize coordinated management of reservoir water supply, ecological protection and agricultural irrigation, and effectively improve the comprehensive utilization efficiency of the water resources. According to the technical scheme, the method comprises the steps of 1, analyzing and determining a downstream influence river reach of a reservoir project, investigating the distribution condition of ecological protection objects in the downstream influence river reach, and further analyzing ecological protection requirements; 2, calculating ecological flow targets step by step according to ecological protection requirements of various protection objects in the reservoir project influence river reach; 3, carrying out multi-functional reservoir water resource collaborative configuration, and comprehensively determining a reservoir ecological flow target; and 4, optimal scheduling of the ecological flow of the multifunctional reservoir. On the basis of the water resource collaborative configuration result of the multifunctional reservoir, the ecological flow scheduling rule of the multifunctional reservoir is perfected by formulating a coordination degree mechanism of ecological, living, industrial, agricultural and other industries.

The invention discloses a DEM-based reservoir flood control dispatching temporary submerging area rapid generation method and device, and relates to the field of hydraulic and hydro-power engineering temporary submerging area definition. The method comprises the following steps: dividing a river channel higher than a reservoir inundation area into a plurality of units by obtaining or generating a reservoir reach DEM, a river channel section line, a normal water storage level inundation area range and water return meters under different working conditions; calculating the water level of each unit grid by adopting an inverse distance weighting method in an interpolation manner, and comparing with the DEM elevation to determine the grid meeting the condition; and merging the units after boundary tracking and smoothing, and erasing a normal water storage level submerging area to obtain a temporary submerging area. The method solves the problems that an existing method is long in time consumption and insufficient in precision, gives consideration to efficiency and precision, and provides reliable support for flood control dispatching decision making, submerging loss evaluation and the like.

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

The present invention belongs to the ecological field and provides a reservoir ecological regulation method that meets the requirements of fish spawning occurrence and fish egg density, including: obtaining the natural reproduction characteristic information and habitat information of fish species that produce drifting eggs in the regulated target river section, and determining the regulated target fish species; obtaining the first key habitat information required when the spawning occurrence probability of all fish species that produce drifting eggs and the regulated target fish species is not less than a first preset threshold; obtaining the second key habitat information required when the fish egg density of all fish species that produce drifting eggs and the regulated target fish species is not less than a second preset threshold; determining a reservoir ecological regulation plan according to the first key habitat information and the second key habitat information of the river section; and carrying out reservoir ecological regulation according to the reservoir ecological regulation plan. Through the above technical solution, the adverse impact of reservoir regulation operation on the spawning of fish species that produce drifting eggs can be alleviated, which is beneficial to promoting the restoration of fish resources and the protection of biodiversity.

The invention discloses a hydrological flow monitoring method and a hydrological flow monitoring system based on a dynamic topology adaptive technology. The hydrological flow monitoring method comprises the following steps: performing hydrological flow monitoring in real time by adopting a trained online flow measurement model; the method comprises the following steps: firstly, acquiring actually measured hydrological element data in the same period of an online flow measurement data sequence, and establishing a river section hydrological element information base; then based on edge computing gateway equipment, flow velocity analysis is carried out by adopting a dynamic topology adaptive technology, parameter calibration is carried out on an online flow measurement model, and the average flow of a test section is calculated; performing comparative measurement analysis and precision evaluation on the flow online monitoring result based on the edge computing gateway equipment; and finally, outputting the finally trained online flow measurement model. According to the method, the applicability of the online flow measurement equipment under different hydraulic conditions and water flow characteristics can be further explored, and a key technical support is provided for application of flood control early warning and other aging sensitive scenes and construction of a cloud-side-end collaborative distributed hydrological monitoring network.

The invention relates to the technical field of non-point source pollution decision, and discloses a non-point source pollution simulation method and a non-point source pollution intelligent interaction method based on an agent, and the simulation method comprises the steps: extracting land and river attribute data of a target region, and constructing a nitrogen emission coefficient database; associating the land attribute type with a nitrogen emission coefficient library, calculating the plot emission amount through a reference area correction model nitrogen emission coefficient, converting the plot emission amount into emission amount grid data, and generating a nitrogen emission distribution map; converting the emission raster data into point data, calculating each pollution point and a river reach influence area, and constructing a river directed graph network; calculating a river reach absorption coefficient by adopting an exponential decay model, and calculating a pollution load transmission quantity and a river reach absorption quantity step by step along a river digraph network topology through breadth-first search by combining the river reach absorption coefficient based on the digraph network; the total consumption amount of the influence river reach of each pollution point is accumulated, the net discharge load distribution diagram and the consumption amount distribution diagram are generated, the calculation process is high in real-time performance, and the method is suitable for various application scenes.

The invention discloses a method for evaluating the stability of a river ecosystem based on the proportion of generalization species and specialized species. The invention relates to the technical field of river ecosystem stability evaluation, and solves the problem that an existing evaluation method is insufficient in sensitivity to dynamic response of river system stability. The method comprises the following steps: respectively setting sampling points at different river reaches according to actual conditions of a river, collecting benthic microorganism samples on gravels, sand and bottom mud of a target river reach, and measuring environmental indexes of each sampling point; performing high-throughput sequencing on benthic microorganism samples, and identifying generalization species and specialization species by combining the Levins ecological niche width; the method comprises the following steps: identifying and quantifying generalization species and specialized species of benthic microorganisms, determining a threshold relationship between the proportion of the generalization species and the specialized species and the river ecosystem stability, and constructing a river ecosystem stability evaluation system based on the proportion of the generalization species and the specialized species. The stability evaluation of the water ecosystem is realized; and the basin comprehensive management and the ecosystem construction are promoted.

The invention relates to the field of water conservancy and hydropower engineering construction land acquisition and physical index investigation, in particular to a method and a system for quickly generating a mountainous area riverway type reservoir inundation area based on a high-precision DEM (Digital Elevation Model), and aims to solve the problems of poor reservoir inundation area generation precision, long time consumption and large personal error in the prior art. The method comprises the following steps: acquiring or generating a reservoir reach DEM, a river section line and a water return meter, and preprocessing; expanding section lines to divide river channel units; calculating a grid water level based on inverse distance weighting interpolation, and comparing the grid water level with DEM elevation to determine a submerged area grid; and generating a closed surface domain through boundary tracking and smoothing processing, and combining to obtain a whole submerged region. The method gives consideration to efficiency and precision, supports second-level dynamic generation of multiple schemes, improves analysis precision and efficiency, is suitable for mountainous river type reservoirs, and provides data support for scheme comparison and selection and object investigation.

The invention relates to the technical field of river channel model construction, and provides a river channel model generation method and system and a medium, and the method comprises the steps: obtaining a remote sensing image and satellite height measurement data of a target river channel, extracting a river channel thalweg line based on the image, extracting feature points from a waterline, and giving an elevation value in combination with the height measurement data; dividing the river channel into independent interpolation areas on the left side and the right side by taking the thalweg as a boundary, and setting a direction attenuation coefficient and a distance attenuation coefficient according to the characteristics of the river reach; generating direction control points along the thalweg according to the minimum width of the dry-season river channel, calculating the local direction angle of each river section, and combining the direction angle, direction attenuation and distance attenuation coefficients to construct a weighting function; spatial interpolation is carried out on the feature points on the left side and the right side through the function, double-side digital elevation models are generated respectively, finally, a complete river channel model is obtained through splicing, and refined expression of the river channel terrain is achieved. According to the method, the precision and physical rationality of complex river channel terrain modeling can be improved.

A shore-based automatic measurement and refined calculation method for river flow includes: performing adaptive segmented terrain fitting based on measured underwater and onshore topographic data of a river section to obtain a river section topographic polynomial group; real-time monitoring of the current river water level, determining the location of the river's land-water boundary and water depth in combination with the river section topographic polynomial group, and measuring the river surface velocity at fixed distances using a rotating velocity-measuring radar with an automated control device; converting the corresponding average velocity using the relationship between the open channel surface velocity and the cross-sectional average velocity, performing adaptive segmented fitting to obtain a river section average velocity polynomial group; dividing the river surface into several sections using vertical lines, and calculating the river depth at the vertical lines and the area between adjacent vertical lines in each section; calculating the average velocity of the centerline of each vertical line using a river section average velocity formula group, and calculating the river section flow by multiplying and summing the areas of each section with the average velocity. This invention has important practical value for real-time, online shore-based river flow measurement under complex water conditions.

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.

A method and device for determining a flood-diversion strategy of a flood storage and detention basin based on a balanced perspective is provided. The method includes determining excess flood peaks and excess flood amounts of middle and downstream main streams in a preset time period after scheduling and enabling of a reservoir group in each river section. A correlation map between a flood-diversion amount and a flood-diversion water-level reduction value under each set flood-diversion parameter combination is then constructed. Enabling priorities and flood-diversion volumes for all flood storage and detention basins in all river sections are determined. A cumulative flood-diversion volume of each flood storage and detention basin is also determined. A flood storage and detention basin-enabling knowledge map is constructed and a plurality of flood-diversion plans are determined. A flood-diversion plan from the plurality of flood-diversion plans is then selected as a target plan to allow flood diversion.

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 provides a basin sediment budget calculation method, which comprises the following steps of: arranging various types of collected basic data of a target basin into a grid form, carrying out uniform space registration, and dividing the various types of basic data based on a small basin boundary serving as a space unit of sediment budget calculation; for each small watershed, respectively calculating gravitational erosion, debris flow erosion, channel erosion and slope erosion to obtain spatial and temporal distribution of various erosion amounts and the total erosion amount in the target watershed; respectively calculating the sediment yield and the deposition rate of the small watershed scale aiming at the four types of erosion; on the basis of the calculated sediment production, the sediment transport amount of the small watershed suspended load in the main river water system is calculated section by section according to the upstream and downstream relation of the convergence river position of each small watershed in the target watershed, and distribution of the sediment transport amount of the suspended load in the flowing direction of the main river water system is obtained in combination with sand digging, reservoir sedimentation and the input amount and the output amount of the suspended load in the river reach. According to the method, the sediment space-time distribution in the basin erosion and basin sand-producing river sediment transportation multi-physical process can be comprehensively quantified.

The invention provides a method for correcting and counting the natural breeding scale of fishes laying drifting eggs. The method comprises the following steps: collecting basic data of a target river section; collecting roes and fries of fishes laying drifting roes day by day at the lower boundary of the target river section, obtaining the number of early resources every day, sampling time, and collecting flow velocity and flow data near a net opening; through indoor culture and biological identification, the egg and fry development time of the fishes laying the drifting eggs is determined; based on the collected basic data, a target river section non-constant flow mathematical model is constructed, and model parameters are verified; according to the non-constant flow mathematical model, determining the specific section position of each fish laying the drifting eggs during egg laying; and calculating the flow corresponding to the section where the fishes laying the drifting eggs lay eggs and the flow velocity of the fishes drifting to the monitoring section from the downstream, and counting and calculating the overall spawning scale condition of the target river section during the monitoring period by adopting a spawning scale statistical method of the fishes laying the drifting eggs. And the natural breeding scale condition of the fishes in the target river section can be reflected more truly.

This invention discloses a method, device, medium, and product for determining flood diversion strategies for flood storage and detention areas based on a balance perspective, relating to the field of flood diversion management technology. The method includes: determining the excess flood peak and excess flood volume of the middle and lower reaches of the main stream in each river section after the operation of the reservoir group scheduling in a preset period; constructing a correlation graph between the flood diversion volume and the reduction value of the flood diversion flood level under each set combination of flood diversion parameters; determining the utilization priority and flood diversion volume of all flood storage and detention areas in all river sections; determining the cumulative flood diversion volume of each flood storage and detention area according to the order of utilization priority; constructing a knowledge graph of flood storage and detention area utilization based on the correlation graph and each cumulative flood diversion volume, and determining multiple flood diversion schemes; and selecting one flood diversion scheme as the target scheme from among the flood diversion schemes based on the objective function and constraints to achieve flood diversion. This method can support the timely and appropriate scheduling and utilization of flood storage and detention areas, meet the rapid decision-making needs of key indicators for the utilization of flood storage and detention areas, and reduce flood disaster losses.

The invention relates to the technical field of urban hydrological simulation and flood forecasting, and particularly discloses a comprehensive unit line improvement method applicable to an urbanized region, which comprises the following steps: S1, constructing an urban rainstorm runoff model, and simulating the flow process of a drainage basin outlet section under rainstorm in different recurrence periods; s2, calculating the flow process of the drainage basin outlet section under the same design rainstorm, and reconstructing and converting the flow process into a centralized flow process; s3, distributing the centralized flow process into sub-flows of a water outlet and a river channel section; s4, on the basis of the actual maximum drainage capacity of the drainage port, storage and drainage response correction is carried out on the sub-flow process of the drainage port, and a time sequence flow process considering drainage capacity constraint is formed; s5, calculating the segmented delay of the propagation time lag to the corrected flow, and obtaining an improved total flow process; the improved urban rainstorm basin outlet flow simulation is realized by performing space-time reconstruction, space distribution, drainage capacity constraint correction and propagation time delay delay on the flow process.

The invention discloses a video recognition-based man-machine cooperative processing method for ditches and rivers in an urban area, and relates to the field of video recognition or understanding, and the method comprises the steps: constructing a data collection and analysis closed loop covering the whole periods before, during and after heavy rainfall: collecting images before and after treatment through an unmanned aerial vehicle and a camera before rainfall, generating a treatment operation influence map for quantitatively evaluating the treatment effect; in rainfall, the fixed camera is used for continuously monitoring the water level and the flow velocity; after rainfall, images are collected again, and the abnormal river reach is recognized. According to the method, camera data is taken as a boundary condition, a hydrological model is driven to perform inversion in combination with a governance influence map, missing heavy rainfall process data is deduced, and finally, accurate attribution of abnormal reasons is realized, and a differentiated governance scheme is generated. According to the method, the problem of monitoring data missing in severe weather is effectively solved, and quantitative evaluation of the treatment effect and scientific diagnosis of the abnormal cause of the river channel are realized.

The invention relates to the technical field of river ice condition early warning, and discloses an ice plug prediction method based on fusion of a physical model and machine learning, and the method comprises the steps: obtaining and preprocessing the monitoring data of a to-be-predicted river reach; carrying out parallel calculation on a physical risk index based on a physical mechanism and a machine learning prediction probability based on data driving; performing weighted fusion on the index and the probability to obtain a basic risk index; then, performing multi-stage correction on the basic risk index based on the critical jamming condition and the river channel curvature to obtain a final risk index; and finally, determining and outputting an ice plug risk grade according to a preset threshold value. The mechanism definition of a physical model is combined with the ability of a machine learning model to capture a complex nonlinear relationship. By introducing critical jamming condition correction and river channel geometric feature reinforcement, the reliability of the prediction method under extreme working conditions is ensured, the applicability and prediction precision of the model to different river channel conditions are enhanced, and the comprehensive accuracy of a prediction result is improved.

The invention belongs to the technical field of tunnels, and particularly relates to a treatment method for a building door tunnel penetrating a karst underground river reach, which comprises the following steps: step 1, multi-source geophysical prospecting fusion investigation: aiming at the tunnel karst underground river reach and the range of 500m around the tunnel karst underground river reach; the method comprises the following steps of: delineating a karst abnormal area by adopting semi-aviation transient electromagnetism; screening a strong corrosion area by adopting a depression analysis method; verifying parameters of the abnormal area through surface drilling and coring; identifying surface hydrology, lithology and seepage data characteristics through unmanned aerial vehicle-mounted high-resolution multispectral and thermal infrared cooperative remote sensing; karst water dynamic conditions including underground water flow velocity, flow direction and permeability coefficient, corrosion evolution characteristics including cavern forming time and expansion rate, and key physical and mechanical parameters including cavern filler porosity, permeability coefficient, surrounding rock integrity coefficient, uniaxial compressive strength, elastic modulus and Poisson's ratio are obtained. According to the treatment method for the building door tunnel to penetrate through the karst underground river section, the karst space characteristics are clearly presented through the arrangement of the treatment method for the building door tunnel to penetrate through the karst underground river section.

The present disclosure relates to the technical field of model construction, and provides a river water dynamics model construction method based on multi-source remote sensing, which comprises the following steps: acquiring a river remote sensing image to obtain a water edge line, acquiring water level data by means of an altimeter satellite, and giving an elevation value to a water edge line corresponding point according to the water edge line and the water level data; for a straight river section, a value is taken according to a specific rule, and for a curved river section, the value is determined according to linear fitting of multiple elevation measuring point values on a river section; based on the elevation values of the water edge lines of the straight and curved river sections, a river terrain digital raster model is further constructed by interpolation along the water edge line, the river water dynamics model is constructed by using the river terrain digital raster model, the simulation effect of the water dynamics model is determined by comparing the water level consistency or the water surface vector form consistency, and the calibration and verification of the river water dynamics model are realized. The present disclosure realizes accurate simulation of the river water dynamics process. The present disclosure can reduce the cost of model parameter acquisition.

The invention discloses an index method for fitting a complex water level and flow relationship of a river channel section in a middle and downstream region of a drainage basin, and the method comprises the following steps: collecting long-time sequence data of a target river channel section, and carrying out the preprocessing of the long-time sequence data; calculating the change rate of water level to time and the change rate of flow to time; based on a one-dimensional river hydrodynamic model, solving a flow velocity v and a water depth h through a Saint-Venant equation set, and calculating a Froude number Fr; the water level Z, the change rate dZ / dt of the water level to the time, the change rate dQ / dt of the flow to the time and the Froude number Fr serve as four input neurons of the neural network, and the flow Q serves as an output neuron; setting a hidden layer activation function, the number of neurons, a learning rate and a momentum factor parameter, and training a neural network through a back propagation algorithm; the trained neural network is used for simulating the flow of the target section, and a complex water level flow relation curve is output; the simulation precision is greatly improved.

The invention belongs to the technical field of river reach feature recognition, and particularly relates to a river reach morphological feature recognition method based on remote sensing. Through multi-source remote sensing data fusion analysis, accurate recognition and dynamic monitoring of river channel morphological characteristics are achieved, scientificity and efficiency of river channel treatment are improved, refined data support is provided for river channel ecological restoration and management through river reach classification and construction of a morphological module, and the river channel ecological restoration and management method is suitable for river channel ecological restoration and management. In this way, the intelligent and datamation requirements of river regulation decision making are supported, meanwhile, effective prediction of the river form evolution trend is achieved through time sequence analysis of the repair node and the current node, verification and evaluation of the confidence degree are conducted after the prediction result is output, and therefore the reliability and applicability of the prediction result are ensured, and the prediction efficiency is improved. The prediction result can provide corresponding data support for a river regulation project, the river form change trend can be pre-judged in advance, and a scientific basis is provided for flood control and disaster reduction and water resource management.

The invention provides a river gallery habitat quality evaluation method and device and a storage medium. The method comprises the steps of obtaining a river static scoring system; constructing a river gallery seasonal dynamic change boundary model; locking a gallery boundary in a critical period of the key species, and delimiting a dynamic gallery boundary adjusted along with natural hydrological fluctuation in a non-critical period of the key species; obtaining the influence of each scale buffer area on the river ecological environment and the habitat quality change characteristics of the buffer area, and dividing the river reach in different buffer areas into different quality subareas according to the habitat quality; determining repair measures corresponding to different quality partitions; identifying the historical optimal habitat quality of the river gallery; and obtaining the habitat quality of different quality partitions after corresponding restoration measures, comparing the habitat quality with the historical optimal habitat quality to obtain a restoration effect result, and obtaining the change trend of the habitat quality through spatial superposition. By adopting the evaluation method provided by the invention, the evaluation result is closely associated with the ecological restoration practice, and the ecological restoration of the river gallery can be scientifically guided.

The application discloses a kind of automatically generated river section and feature extraction method, comprising: by specified numerical value, along the river center line / longitudinal axis line generation point, and point is set to number along river direction, and adjacent line recursive generation center line is given to these line number;According to the order of numbering, traverse point, and make perpendicular to its adjacent line;Generation perpendicular segment and the intersection of adjacent line, and these intersection points are given the numbering value consistent with point;With intersection point along the direction of existing perpendicular segment, continue to make perpendicular to its adjacent line;Respectively, the intersection of perpendicular segment and adjacent line is solved, and these intersection points are given the numbering consistent with the starting point of perpendicular segment;Until perpendicular segment reaches river boundary;According to center line number and the intersection point number of generated perpendicular segment, line segment is generated, and automatic section establishment is completed;Information extraction point is generated by the generated section line;Extract section two / three-dimensional grid data information.The application realizes the automatic section generation and attribute extraction of river with relatively severe width and curvature variation.

The invention provides a river topography modeling method and device. The method comprises the following steps: acquiring section measurement data of each actually measured cross section in a target river; determining coordinate information of measurement points of all actually measured cross sections based on the section measurement data; performing cubic spline resampling on the actually measured cross section based on the coordinate information of the measurement points according to a preset number of sampling points to obtain coordinates of resampling points; performing linear interpolation on the adjacent actually-measured cross sections according to the coordinates of the re-sampling points in the river channel direction of the target river channel to obtain encrypted river channel cross sections and encrypted section data; and constructing a river channel model based on the encrypted cross section of the river channel and the encrypted section data. By means of cubic spline resampling and linear interpolation, terrain details are reserved, data requirements are reduced, cross section terrain data are supplemented, accurate supplement of the cross section of the river channel is achieved by means of the distance and gradient change between the cross section to be supplemented and the known sampling elevation cross section of the river channel, and therefore the model precision is improved.