235 results about "River section" patented technology

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 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 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 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 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 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 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 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 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.

The invention discloses a river ecological environment quality evaluation and degradation diagnosis method, and relates to the technical field of ecological environment. Comprising the steps of establishing a river ecological environment quality evaluation system; arranging river ecological environment quality monitoring points, determining monitoring frequency and monitoring time, and collecting monitoring point data; analyzing and processing the collected monitoring point data; the river ecological environment quality is evaluated according to the analyzed and processed data, and an evaluation result is obtained; according to the evaluation result, identifying an ecological environment quality degradation river reach, performing diagnostic analysis on the ecological environment quality degradation river reach, identifying a pressure source causing ecological environment quality degradation, and obtaining a diagnostic result; and generating a river ecological restoration and protection management scheme according to the diagnosis result. According to the method, physical, chemical and biological multi-dimensional indexes are integrated, the river ecological environment quality can be objectively evaluated, the degeneration reason of the river ecological environment can be diagnosed, and a scientific basis is provided for river ecological protection, restoration and management.

The invention relates to the technical field of electronics, and discloses an urban river pollutant traceability method and device, electronic equipment, a medium and a product. The method comprises the steps that when it is monitored that target pollutants of any target monitoring section exceed the standard, the target monitoring section serves as an end point; reversely simulating an upstream diffusion path of the target pollutants by using a pre-constructed mechanism and data hybrid model to obtain theoretical concentrations of the target pollutants in a plurality of upstream river sections; determining at least one traceable river reach in the plurality of upstream river reaches based on the theoretical concentration of the target pollutants; pollution characteristic data of a water body in the traceable river reach is obtained; performing similarity calculation on the pollution characteristic data and characteristic data of a plurality of pollution sources in a pre-constructed pollution source characteristic knowledge graph to obtain a similarity value between the pollution characteristic data and each pollution source; and determining at least one target pollution source in the plurality of pollution sources based on the similarity value, thereby realizing dual precision of qualitative and quantitative analysis of the pollution sources, and greatly improving the tracing efficiency.

The invention discloses a GIS-based river network water conservancy object upstream and downstream determination method. The method comprises the following steps: preprocessing river vector data to obtain river network vector data; constructing a river network directed graph by using the river network vector data and the hydraulic supervision object vector data; respectively calculating a static OD cost matrix and a dynamic OD cost matrix according to the edge weight of the river network directed graph; when the weight cost is smaller than infinity, if the flow direction from the starting point to the target point is consistent with the river reach, the target point is downstream relative to the starting point, and if the flow direction from the target point to the starting point is opposite to the river reach, the starting point is upstream relative to the target point. According to the method, the directed graph is constructed according to the river network vector data, the static and dynamic OD cost matrixes are calculated, the upstream and downstream relation between the starting point object and the target point object is calculated, and the efficiency and accuracy of data processing of the hydraulic supervision objects distributed in the river network are improved. The invention further discloses a device for implementing the method, electronic equipment and a storage medium.

The invention provides an agricultural drainage basin pollution tracing method and system, a storage medium and electronic equipment. The method comprises the following steps: acquiring to-be-tested sample data of different river cross sections in a target drainage basin; the data of the sample to be detected is compared with a constructed pollution source comparison database, and the pollution source comparison database comprises molecular matrix data and isotope ratio data of pollution sources in a target drainage basin; performing preliminary screening based on to-be-detected sample data in combination with special molecular formulas in different pollution source molecular matrixes to determine a target pollution source in the to-be-detected sample data; and calculating the relative contribution degree of the target pollution source to the river section to-be-tested sample according to the pollution source feature group to obtain a traceability proportion so as to generate a traceability report. According to the method, the pollution source can be traced more accurately, the influence of hydrological factors on pollution source emission is comprehensively considered, the space-time adaptability and accuracy of the traceability result are enhanced, and the method has higher resolution and accuracy and a wider application range.

The embodiment of the invention provides a riverside and lakeside zone remote sensing monitoring method and product. The riverside and lakeside zone remote sensing monitoring method comprises the following steps: acquiring historical medium-resolution remote sensing image data and historical high-resolution remote sensing image data; extracting an end member spectrum of a typical ground feature from the historical medium-resolution remote sensing image data; correcting the end member spectrum according to the high-resolution remote sensing image data and eliminating shadow or cloud interference to obtain a target end member spectrum matrix; performing pixel unmixing on the to-be-decomposed medium-resolution remote sensing image data according to the target end member spectrum matrix to obtain a pixel unmixing result; determining a water level amplitude variation area according to the pixel unmixing result and the flooding frequency; determining a coastal zone monitoring range according to the water level amplitude variation area; inputting image data corresponding to the monitoring range of the coastal zone into a wavelet transform U-Net deep convolutional neural network model to obtain a land utilization classification result of the coastal zone; and quantifying the ecological bank zone ratio result of each river reach according to the land utilization classification result of the coastal zone.

This invention discloses a method, system, equipment, and storage medium for determining ecological flow based on the suitable living area of ​​aquatic organisms. The method includes: dividing the river into high-water, normal, and low-water years; determining ecological protection targets for high-water, normal, and low-water years based on the suitable living conditions of dominant aquatic organism populations in the river channel; calculating the size of the suitable living area of ​​dominant aquatic organism populations in the river section under different water levels or wetted perimeters based on the ecological protection targets and hydraulic formulas; plotting the change curve of the suitable living area of ​​dominant aquatic organism populations in the river section under different water levels; and determining the river ecological flow in combination with the ecological protection targets for high-water, normal, and low-water years. This invention uses the suitable living area of ​​dominant aquatic organism populations in the river section as a label to deduce the river ecological flow target. Compared with previous methods, this method more fully considers the suitable living space of dominant aquatic organism populations in the river channel, and the determined ecological flow target is more suitable for the survival of aquatic organisms in the river channel.

The application discloses a kind of RCBAM model construction methods of river flow remote sensing inversion, which comprises the following steps:1) collecting remote sensing image data;2) high-precision DEM production;3) river center line acquisition;4) river width and slope acquisition;5) river section shape extraction;6) flow area calculation;7) river flow estimation.The application obtains the section shape of river channel based on high-precision digital elevation model DEM, combines the instantaneous water surface information obtained from remote sensing image, dynamically calculates the river section area, effectively solves the problem that the flow area in the traditional BAM flow model relies on empirical formula to obtain, realizes the river flow estimation considering the shape characteristics of river channel, and can realize efficient and accurate river flow remote sensing inversion.

The invention discloses an embankment gushing risk evaluation method based on an embankment gushing formation mode, and the method comprises the steps: constructing the formation mode of the embankment gushing risk through employing the outboard flood occurrence probability as a triggering premise, employing a riverbed instability coefficient as a disaster-causing factor, and employing the stability degree of an embankment as a resistance capability; according to the calculation method for obtaining the embankment gushing risk according to the evaluation model, the embankment gushing risk can be quantitatively analyzed and calculated, the embankment gushing risk point can be effectively recognized, the weak river reach of the embankment can be defended in a targeted mode, passive water safety incident handling is changed into active water safety risk prevention and control, and the method is the key for guaranteeing the flood control safety of the river channel. And the method is universal for safety protection of other river dikes in the world, and has popularization significance.

The application discloses a kind of fish suitable flow habitat spatio-temporal distribution calculation method and system, through basic data collection pre-processing, target fish life history and reservoir scheduling spatio-temporal matching, cascade reservoir dynamic backwater length calculation, habitat suitability determination of dehydration river section, spatial superposition between cascades, habitat time dimension accounting and spatio-temporal matrix construction, planning scheme compliance verification and the like steps, realize the spatio-temporal dynamic accurate delineation of the habitat of native fish suitable flow after cascade development.The application fully considers the water level fluctuation and backwater dynamic change of reservoir within a year, the differentiated habitat needs of different life history stages of target native fish, solves the industry pain points of traditional method such as insufficient accuracy, disconnection with protection target and lack of time dimension evaluation, and can provide scientific and accurate technical support for basin hydropower development layout optimization, ecological protection measure formulation and planning scheme environmental impact assessment comparison.

The present application relates to the field of pollution control of rivers flowing into the sea, and provides a cross-regional pollution collaborative control and scheduling system for rivers flowing into the sea. The system collects water quality indexes at fixed river sections at uniform time intervals in multiple administrative regions along the rivers flowing into the sea, and constructs water quality time series data sets for the corresponding river sections. Based on the characteristics of water quality changes, pollution change river sections are identified, and cross-regional transmission paths for the transmission of pollution changes to downstream are constructed according to the actual flow direction of the river. The system deduces the pollution changes step by step along the transmission path, and corrects the water quality change state in combination with the river section response parameters to obtain the deduced water quality state corresponding to the downstream river section. By comparing the deduced water quality state with the control threshold of the downstream river section, a collaborative control and scheduling request is generated, and after the scheduling is executed, the water quality time series data set of the affected river section is reconstructed, and the river section response parameters are updated, thereby forming a closed-loop scheduling process for cross-regional pollution control.

The present application belongs to the technical field of river section feature recognition, and particularly relates to a river section morphological feature recognition method based on remote sensing. The present application realizes accurate recognition and dynamic monitoring of river morphological features through multi-source remote sensing data fusion analysis, improves the scientificity and efficiency of river management, and provides fine data support for river ecological restoration and management through the construction of river section classification and morphological modules, thereby supporting the intelligentization and dataization needs of river management decisions. Meanwhile, through time sequence analysis of the repair node and the current node, the effective prediction of the river morphological evolution trend is realized, and after the prediction result is output, the confidence is also checked and evaluated, thereby ensuring the reliability and applicability of the prediction result, so that the prediction result can provide corresponding data support for river regulation engineering, can predict the river morphological change trend in advance, and also provides a scientific basis for flood control and disaster reduction and water resource management.

The application discloses a kind of method, system, equipment and storage medium suitable for ecological optimization scheduling of "artificial flood peak" of reservoir, belong to reservoir ecological scheduling technical field, this method first collects target river section basic environmental data and target fish spawning related information, constructs and verifies one-dimensional water power, water temperature model;Again, combine spawning information and model to determine spawning ground position and normalize data, calculate spawning scale and distribution characteristics;Subsequently, set spawning scale threshold, extract suitable water temperature, hydrological index and ecological scheduling time window of fish spawning by machine learning model;In window period, monitor and judge scheduling start condition, combined with forecast information of trunk stream and branch stream, to utilize branch stream hydrology water temperature condition, satisfy multiple spawning ground index as target to develop and execute scheduling scheme;Finally, the aforementioned method is used to calculate spawning scale during scheduling period, and the implementation effect of scheduling is evaluated.The application improves the accuracy of scheduling index and the feasibility of scheme, making the spawning scale statistics and effect evaluation more practical.

The invention provides a reservoir flood prevention water level early warning method and system and a storage medium, and relates to the technical field of flood prevention water level early warning. Setting a dam judgment rule, selecting historical dam forming data and historical dam breach data from historical data based on the rule, constructing and training a dam breach prediction model based on the data, and obtaining predicted dam breach data through the dam breach prediction model; acquiring water level data and section data of each main branch at the inlet of the reservoir, and determining a dam breaking water level of each main branch at the inlet of the reservoir by combining the current dam existence time and the predicted dam breaking data; and acquiring water level data of the reservoir, combining the water level data of each main branch at the inlet of the reservoir and the dam breaking water level to finish flood prevention grading early warning of the reservoir, and sending out a corresponding early warning signal.

The present application relates to the planning and design field of ecological dam engineering, and aims to provide a kind of calculation method suitable for mountainous river cascade ecological dam arrangement spacing;To retain the hydrodynamic conditions and ecological environment of mountainous river to the greatest extent, the calculation method also has the characteristics of simple method and wide applicability.The technical scheme is a kind of calculation method suitable for mountainous river cascade ecological dam arrangement spacing, comprising the following steps: step one, obtaining relevant data and analysis.Step two, calculate the backwater submerged spacing.Step three, calculate the spacing between the backwater end and the upstream dam.Step four, determine the dam spacing.

The application provides a cross-section terrain-based riverbed elevation spatio-temporal evolution trend prediction method, which comprises the following steps: obtaining a plurality of first riverbed elevation parameters, first distance parameters and second distance parameters of a plurality of cross-sections in a target river section; each cross-section comprises at least one preset observation point; determining a second riverbed elevation parameter of each cross-section under a target water level parameter according to the first riverbed elevation parameter, the second distance parameter and the first distance parameter; the target water level parameter is a water level parameter of a characteristic water level of the cross-section; determining a target model of the target river section based on the second riverbed elevation parameter; and predicting the cross-section according to the target model to obtain a target riverbed elevation parameter of the cross-section, which can integrate discrete observation data into a unified index representing the overall state of the cross-section, provide a standard input for a prediction model, and thus improve the prediction accuracy of the average riverbed elevation state.