76 results about "Sediment transport" patented technology

The invention discloses an indoor water tank sediment pushing characteristic acquisition system and method, the system mainly comprises a water tank main body, a buffer unit, a drainage adjusting unit, a sediment throwing device, an imaging unit, an adjustable support and a data processing unit, and according to the method, non-contact data acquisition is carried out through a high-definition camera and a three-dimensional terrain measuring instrument; automatic identification, parameter extraction and migration speed calculation of landforms such as sand waves are achieved, the sediment bed surface is not touched in the whole process, damage to the bed surface form caused by traditional contact type measurement is eliminated, and the authenticity and reliability of data are ensured. Meanwhile, the buffer design of the combination of the flow slowing plate and the multi-stage water baffle is adopted, the kinetic energy of water flow is effectively dissipated through the graded water outlet structure, the impact force of injected water flow is greatly reduced, the bed surface is prevented from being scoured in the initial water injection stage, and the stability of the initial test condition is powerfully protected.

The invention provides a watershed water right marketization configuration method and device under water-sediment coupling constraint, and the method comprises the steps: constructing a water-sediment coupling constraint model which comprises a plurality of constraint conditions, and the constraint conditions are used for constraining the sediment transportation and deposition conditions in a water transportation process; establishing a multi-target water right optimization configuration model based on the importance of various water consumption subjects in the drainage basin and a preset water right distribution strategy; solving the multi-objective water right optimal configuration model by adopting a multi-objective evolutionary algorithm and constraint conditions, and generating a candidate water right configuration solution set; selecting a feasible solution set from the candidate water right configuration solution set based on constraint conditions; scoring each solution in the feasible solution set, and sorting according to a scoring result; and obtaining an optimal water right configuration solution set based on a sorting result. According to the method, the safety and ecological requirements of a watershed water-sediment system can be guaranteed while the water right is reasonably distributed.

The invention relates to the technical field of data processing, and discloses a wind turbine generator optimization design method based on tidal current-wave-sediment coupling simulation. The method comprises the following steps: carrying out adaptive time step adjustment on marine environment data through a physical process intensity discrimination algorithm to obtain tidal current field, wave field and sediment transportation data; carrying out fluid-solid coupling calculation on the structural parameters of the wind turbine generator to obtain structural vibration response and ocean load distribution data, and predicting pile foundation scouring depth distribution; carrying out time-varying coefficient correction on the pile foundation bearing capacity parameters to obtain dynamic bearing capacity evaluation data; inputting a multi-objective optimization algorithm to obtain a Pareto optimal solution set; and obtaining a wind turbine generator optimization design scheme through engineering feasibility verification and screening. The technical problems that in existing offshore wind turbine generator design, tidal current-wave-sediment coupling simulation space-time scales are not matched, the pile foundation scouring prediction precision is insufficient, bearing capacity evaluation lacks time-varying characteristic consideration, and the multi-target optimization design capacity is insufficient are solved.

The invention discloses an estuary sediment transport simulation method considering environmental factor coupling, and belongs to the technical field of offshore marine deposition dynamics, and the method comprises the steps: processing the geographic data of a target sea area, constructing a non-structural computational grid region of the target sea area, and generating an initial terrain field; for a target sea area, setting boundary conditions and an initial field, and constructing a three-dimensional hydrodynamic numerical model; performing systematic verification and parameter calibration on the three-dimensional hydrodynamic numerical model in S2 by adopting multi-source observation data; based on the three-dimensional hydrodynamic force numerical model verified in S3, constructing a three-dimensional hydrodynamic force-sediment coupling numerical model considering environmental factor driving; and performing systematic verification and parameter calibration on the three-dimensional hydrodynamic force-sediment coupling numerical model in the step S4 by adopting multi-source observation data. According to the method, the real-time dynamic coupling relation between the environmental factors and the sediment settling velocity is established by modifying the sediment settling velocity equation, the flocculation effect of the estuary high-concentration fine-particle sediment is represented, and the accuracy of suspended sediment concentration simulation is improved.

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

The invention relates to the field of seabed sediment classification mapping, and provides a seabed sediment classification mapping method based on shallow stratum profile data, which comprises the following steps: acquiring sensor data of a target seabed, including multi-beam topographic data, side-scan image data, seismic data and shallow stratum profile data; multi-dimensional acoustic-terrain-seismic features are constructed, acoustic feature matching is carried out on multi-beam terrain data and side-scan image data, seismic data are introduced, and an extended hierarchical model is constructed; constructing a preliminary submarine topography model diagram by using a spatial interpolation algorithm, repairing a preliminary missing region by using a generative adversarial network, generating a complete submarine topography model diagram, embedding multi-dimensional acoustic-topography-seismic features, and predicting a sediment migration trend; and generating a seabed substrate classification planar graph and a three-dimensional geological profile map, and performing seabed substrate classification mapping in combination with a sediment migration trend. According to the invention, the resolution and integrity of the submarine topography model can be significantly improved, and the dynamic classification map reflecting the current and future patterns is generated.

This invention belongs to the field of coastal engineering and ecological restoration technology. It discloses a method for optimizing the design of beach ecological restoration trenches based on hydrodynamic simulation. The method includes: collecting beach hydrological datasets, topographic datasets, and ecological datasets, and preprocessing them. The hydrological dataset includes wave data, tidal current data, storm surge data, and sediment transport data. The topographic dataset includes shoreline slope, beach elevation, underwater topography data, and sediment source storage data. The ecological dataset includes tidal flat vegetation distribution, benthic organism density, ecologically sensitive area range, and water environment quality data. This invention, through the coupled processing of hydrological, topographic, and ecological multi-source datasets, obtains hydraulic reference values ​​and topographic adaptation values ​​for the trench, directly reflecting the regional dynamic conditions and the degree of topographic adaptation, significantly reducing the workload of manual calculation and trial and error.

The invention discloses a suspended sediment transportation and reservoir desilting system, and relates to the technical field of hydraulic engineering, the system comprises an acoustic control array module used for forming an acoustic potential well in water above a reservoir bottom sludge layer to capture sediment particle groups in the reservoir bottom sludge layer; the sediment gathering and collecting module is used for collecting sediment particle groups and gathering the sediment particle groups at a sediment gathering target point to form slurry; the control unit is used for generating an acoustic potential well moving path based on the acoustic control array module position information, the reservoir bottom terrain and the sediment collection target point, and is used for controlling emission parameters of the acoustic control array module based on the acoustic potential well and the movement state of the sediment particle population and the concentration of the sediment particle population; according to the invention, non-contact, directional and collaborative transportation of sediment particle groups can be realized, and the sediment particle groups are orderly guided to a collection point, so that low-energy-consumption, low-disturbance, high-efficiency and intelligent dredging operation is realized.

The invention provides a wide valley U-shaped channel mountain torrent debris flow prevention and control method based on a mountain torrent sediment transport rule, and the method comprises the steps: determining a formation region, a circulation region and an accumulation region of a large watershed debris flow channel, and determining debris flow channel parameters; determining the characteristics of the mud mark section; calculating debris flow characteristic parameters; a target bedrock section is selected, and the design height of a target dam body is calculated according to section characteristics of the target bedrock section, debris flow channel parameters, mud mark section characteristics and debris flow characteristic parameters; according to the method, an open type grating dam is arranged at a section where flood is often encountered, rolling type earth and rockfill dams are arranged at other positions of the section, and design construction is carried out according to a target design specification and the design height of a target dam body, so that the problem that when debris flow occurs, an existing prevention and treatment project loses efficacy due to deposition of silt carried by long-term erosion of mountain torrents is solved; and the service life of the prevention and treatment project in the drainage basin is greatly prolonged, and the expected effect can be achieved when debris flow occurs.

The utility model discloses a mold temperature controller circulation water tank structure, which comprises a water tank main body and a water tank main body top cover, the lower part of the water tank main body is of a semicircular structure, and a delivery pipe is arranged at the bottom of the outer side of the water tank main body along the length direction of the water tank main body; the contact position of the conveying pipe and the water tank body is of an open structure and forms a precipitation opening, a conveying auger is installed on the inner side of the conveying pipe, and a second motor is installed at one end of the conveying pipe. When the water tank is used, water sediments can enter the conveying pipe through the sediment opening, the sediments attached to the inner wall of the water tank body can be cleaned down through rotation of the cleaning scraper driven by the first motor and collected into the conveying pipe, and the sediment opening can be sealed by the cleaning scraper before the second motor drives the conveying auger to convey the sediments. And the water body cannot enter the conveying pipe or is prevented from entering the conveying pipe, so that water body waste during sediment conveying is reduced.

This invention proposes an early warning system and method for the impact of ecological submerged breakwaters on nearshore seabed morphology under tsunami wave action. The system includes: a feature extraction module that collects water pressure data inside and outside the breakwater and establishes a high-energy potential difference time window; a potential energy analysis module that retrieves data within the high-energy potential difference time window and performs differential analysis of the vertical gradient to generate the permeability per unit volume of the seabed surface; an erosion analysis module that obtains the loss coefficient and corrects the static critical initiation shear stress to establish a time-evolving erosion resistance threshold sequence; a concealment identification module that identifies concealed scour zones; and a graded early warning module that quantifies and accumulates the surplus characteristics of shear strength in concealed scour zones using sediment transport rates to obtain morphological loss characteristics, performs stability assessment of the breakwater support structure, and triggers graded collapse early warning. This invention achieves the identification and dynamic early warning of concealed scour risks under low flow velocity backgrounds by quantifying soil weakening caused by seepage.

The application provides a method, device and equipment for determining sediment connectivity, which comprises the following steps: obtaining effective concentration areas of each grid unit affected by land use in a target basin; obtaining weight factors and slope gradients of each grid unit; obtaining runoff flow velocity factors of each grid unit, and the concentration path lengths of each grid unit to the nearest river or the nearest deposition area; and determining a sediment connectivity index of the target basin according to the effective concentration areas, the weight factors, the slope gradients, the runoff flow velocity factors and the concentration path lengths. The effective concentration areas are introduced in the uphill component, which can reflect the influence of the land use type, boundary, quantity and position of the uphill on the uphill concentration area. The runoff flow velocity factors are introduced in the downhill component, which enhances the description and response capability of the sediment transport process. Therefore, the present scheme has a clearer physical meaning than other existing algorithms, and can more comprehensively and sensitively represent the erosion and sediment production influence of the land use change of the basin.

The present application relates to the technical field of river dredging treatment, and relates to a river sludge treatment method based on dynamic simulation and optimized decision, obtains and processes historical and real-time multi-dimensional environmental data of a river to be treated and an influence area thereof, constructs a watershed process simulation system capable of simulating river water dynamics, sediment transport, pollutant migration and transformation and ecological response process, parameterizes definition of decision variables constituting a river treatment scheme, formal definition and setting of a multi-objective optimization problem, adopts a multi-objective optimization engine, embeds the watershed process simulation system as a core evaluation module into an optimization iteration loop, implements an optimized scheme, and continuously monitors environmental state changes during and after implementation, the present application can accurately predict long-term and short-term effects of different treatment schemes in terms of water dynamics, sediment, pollutant migration and transformation and ecological response, and solves the problem of sludge comprehensive treatment.

The present disclosure relates to the technical field of watershed water and sediment regulation, and provides a method and device for predicting a watershed sediment transport ratio. The method comprises: obtaining a slope sediment yield parameter and a runoff parameter of a target watershed; calculating a target slope sediment yield according to the slope sediment yield parameter; calculating a target runoff according to the runoff parameter; and introducing the target slope sediment yield and the target runoff into a preset sediment transport ratio prediction model to predict a target sediment transport ratio. The present disclosure can greatly improve the application range and prediction accuracy of the prediction of the watershed sediment transport ratio.

The application discloses a silt treatment control method based on multi-stage filtration, which comprises the following steps: collecting multi-source sensing data of key nodes in an integrated facility in real time, and constructing a feature vector representing the current siltation state of the facility; inputting the feature vector as a boundary condition into a preset water-sediment transport coupling model, simulating and predicting the spatio-temporal evolution trend of the flow field structure and silt deposition in the facility in the future period, and outputting the prediction results including the filter pressure difference and the siltation thickness; inputting the prediction results and the current feature vector into a reinforcement learning decision engine after splicing, and outputting an optimal sand flushing instruction set that maximizes the cumulative reward; and issuing the optimal sand flushing instruction set to a programmable logic controller, and driving an actuator to complete the work in time sequence by the programmable logic controller. Thus, the rapid forward-looking prediction and adaptive sand flushing regulation of the siltation risk of the multi-stage filtration facility under the condition of high-sediment water flow are realized.

A parameter continuous creep SWAT time-varying water and sediment simulation method, system and medium, the method comprises the following steps: constructing a SWAT database for land use scenarios before and after the yield calibration parameter set; 24 types of parameters are divided into continuous creep and fixed parameters, and an expression is embedded in the main loop of the SWAT source code; update parameter execution boundary, change rate, rollback control; output runoff and sediment results. Based on the transition matrix, the HRU land class transition path and intensity are identified, and the HRU differentiated creep coefficient and slope-river transmission lag factor are determined by combining slope, distance from river, confluence, hydrological connectivity and area; in the update, the runoff, surface erosion and sediment transport parameter coupling are established, and the water conservation, sediment transport continuity, peak suppression and abnormal rollback are executed. The present application embeds the transfer heterogeneous response and channel transmission into dynamic simulation, reduces the risk of parameter mutation, sediment shock and non-physical combination, and improves the continuity, stability and physical reasonableness in the gradual change period.

The present application relates to the field of dam safety monitoring, and relates to a kind of dam multidimensional safety monitoring method based on during flood peak.The method includes according to the water level time series data of each area of dam body, calculates water level rise rate;Extract peak inflow, combined with flood peak retention time and water level rise rate, obtain hydraulic influence coefficient;According to the time series data of each area silt content and inflow time series data, calculate sediment transport rate, combined with silt median particle size, obtain the influence coefficient of incoming sediment;Extract water head fluctuation main frequency and fluctuation amplitude, combined with dam real-time natural frequency and incoming sediment influence coefficient, obtain fluctuation influence coefficient;According to hydraulic influence coefficient and fluctuation influence coefficient, obtain flood peak dynamic influence coefficient;According to the real-time monitoring stress of each area and corresponding design bearing stress, obtain foundation safety margin, combined with flood peak dynamic influence coefficient, obtain actual safety margin;According to the change rate of actual safety margin of each area at continuous multiple time, judge whether to generate early warning information.

The invention discloses a sediment transportation prediction data processing method and system based on bidirectional distribution characteristics, and relates to the technical field of data processing, and the method comprises the steps: obtaining a first riverway interval, a second riverway interval and a third riverway interval, and obtaining a riverway direction data sequence and a depth direction data sequence; obtaining a first longitudinal trend index, a second longitudinal trend index and a third longitudinal trend index, and obtaining a first vertical trend index, a second vertical trend index and a third vertical trend index; obtaining a longitudinal variation coefficient, obtaining a vertical variation coefficient, and obtaining a total variation index; if the total variation index is smaller than a preset threshold value, the distance between the to-be-predicted area and the sediment inlet is obtained, river channel direction prediction data of the to-be-predicted area is obtained, and depth direction prediction data of the to-be-predicted area is obtained. The method has the advantages of stability discrimination, quantification of the transport rule and dynamic association verification.

The invention relates to the technical field of hydrological sediment monitoring, and discloses a sediment content calculation method, which comprises the following steps: acquiring a single-point flow velocity vector, a single-point original sediment content and a total water depth of a measuring point; constructing a non-constant inertia index combining the flow velocity change rate and the single-point flow velocity modulus; determining a dynamic lag time window by using a non-constant inertia index and acquiring a reference sand content; calculating a vertical density gradient and a gradient Richardson number by using the reference sand content, and determining a turbulence suppression factor; respectively correcting a vertical flow velocity distribution function and a sand content distribution function by using a turbulence suppression factor and a non-constant inertia index, and constructing a vertical flow velocity distribution data column and a sand content distribution data column through iterative calculation; and integrating to obtain the single-width sediment transport modulus. According to the method, sediment response lag is corrected by introducing a non-constant inertia index and a dynamic lag time window, the damping effect of density stratification on turbulent flow is quantified by using a turbulent flow suppression factor, and the full-water deep-water sediment structure under the non-constant flow condition is accurately inverted by using single-point data.

The invention discloses a modeling method for dynamic deposition simulation and artificial intelligence fusion of meandering river point dam configuration, and belongs to the field of petroleum and natural gas development, and the modeling method comprises the following specific steps: I, collecting and preprocessing multiple types of data of a corresponding research area, simulating the distribution of a flow velocity field and a water depth field of an ancient river, and establishing a state conversion rule; according to the method, synchronous response of water flow movement and sediment migration can be achieved, the point dam side accumulation body forming process is accurately captured, the reasonability of configuration prediction is improved, and the method is suitable for point dam configuration accurate modeling in the complex sedimentary environment; meanwhile, accurate conversion from coarse resolution to high resolution can be realized, the description precision of the model is greatly improved, the geological loyalty and prediction capability of the model are remarkably improved, and a more scientific and comprehensive basis is provided for risk assessment and optimization decision of a development scheme.

The invention discloses a reservoir density flow on-way evolution calculation method based on an effective suspension work theory. The method comprises the following steps: 1, calculating a reservoir density flow submergence point; 2, reservoir density current submerging characteristic calculation; 3, reservoir density flow on-way evolution simulation; and 4, carrying out reservoir density flow evolution processing and visual display. The method has the advantages that the effective suspension work is used for judging sedimentation or suspension of suspended sediment in the density current, and the critical effective suspension work is used as a judgment condition for the balance state of the density current; the evolution process of the flow velocity, the sand content and the density flow layer thickness from generation of the reservoir density flow to the front of the dam is rapidly and efficiently calculated by combining density flow submerging judgment conditions, a density flow submerging characteristic calculation formula, a density flow self-similarity theory, a density flow accumulation depth control equation and an effective suspension work theory; and support is provided for ultra-long-distance sediment transportation of density flow. Meanwhile, after upstream water and sand conditions and dam discharge flow are input, the density flow velocity, the sand content on-way change process and the warehouse-out sand content can be obtained.

The invention relates to the technical field of underwater sediment conveying control, in particular to an online concentration feedback type pump speed control method and system for high-concentration sediment conveying, and the method comprises the steps that S1, monitoring data of a target pump body are obtained; s2, acquiring carrier attitude water and correcting monitoring data; s3, the target pump speed is obtained based on the coupling control model; and S4, control data of the target pump body are obtained based on the target pump speed. The system comprises a monitoring module, a correction module, an analysis module and a control module. Through attitude data correction and a concentration-power-pressure difference coupling control model, the problem of low pump speed control precision caused by sediment concentration fluctuation is solved.

The invention belongs to the technical field of water conservancy projects, provides a dam site comparison and selection method fused with dam break scenario simulation, and aims to solve the problems that traditional dam site comparison and selection depend on static parameters and neglect extreme dam break risks and multi-dimensional disaster influences. The method comprises the following steps: obtaining multi-source geographic space data of a watershed, and primarily screening candidate dam sites; a three-dimensional geomechanical model is constructed and coupled with a fluid dynamic equation, and the dam break flood routing and sediment transportation process is simulated; quantifying a population evacuation time threshold value, infrastructure inundation loss and an ecological damage index; and combining the engineering cost and the power generation income, constructing a comprehensive risk income scoring model by adopting an entropy weight method, and sorting and preferably selecting the first three dam sites. The system correspondingly realizes the modularization function. According to the method, through fusion of dynamic simulation and multi-objective decision, scientificity, disaster resistance toughness and ecological economy collaboration of dam site comparison and selection are remarkably improved, and quantifiable and reusable technical support is provided for hydraulic engineering toughness planning.

The present application relates to the technical field of marine environment monitoring, in particular to a sediment transport intelligent monitoring system for offshore wind farms, comprising: a seabed base module, a sea level buoy module and an optical-electric composite cable connecting the two, the bottom of the buoy module is provided with a sensor cabin with built-in multiple sensors and counterweights, and the base and the buoy module are both equipped with acoustic Doppler current profiler, turbidity sensors and other detection components. The buoy module contains independent watertight compartments, photovoltaic power supply and control components, can identify the sediment transport state through eigenvector analysis and Mahalanobis distance clustering algorithm, intelligently switch three monitoring modes of normal, event triggering and decay tracking, and dynamically adjust the sampling frequency. The system realizes three-dimensional monitoring of the whole process of sediment "suspension-transportation-settlement" and real-time data transmission, solves the limitations of traditional seabed monitoring, takes into account the monitoring accuracy and energy efficiency, and provides reliable support for the safe operation and maintenance of wind farms.

The application discloses a suspended sediment transport and reservoir dredging system, and relates to the technical field of hydraulic engineering.The system comprises an acoustic control array module, a sediment collection module and a control unit.The acoustic control array module is used for forming an acoustic potential well in water above a reservoir bottom silt layer to capture a sediment particle group in the reservoir bottom silt layer; the sediment collection module is used for collecting the sediment particle group to gather at a sediment collection target point to form a slurry; and the control unit is used for generating an acoustic potential well moving path based on position information of the acoustic control array module, a reservoir bottom topography and the sediment collection target point, and for controlling emission parameters of the acoustic control array module based on a motion state of the acoustic potential well and the sediment particle group and a concentration of the sediment particle group.The application can realize non-contact, directional and cooperative transport of the sediment particle group, orderly guide the sediment particle group to a collection point, and realize low-energy-consumption, low-disturbance, high-efficiency and intelligent dredging operation.

The application discloses a method for monitoring the effect of marine ecological restoration in an estuary and sea area based on multi-period remote sensing, and relates to the technical field of marine ecological restoration, which comprises the following steps: obtaining multi-period satellite and unmanned aerial vehicle remote sensing images before and after the implementation of a restoration project, and constructing a long-time sequence standardized remote sensing data set; interpreting the multi-period remote sensing images to generate multi-period ecological element data; inputting the multi-period ecological element data into an intelligent simulation model for water and sediment transport and topographic evolution, simulating the water and sediment transport and topographic evolution law in different restoration stages, and evaluating the implementation efficiency of the project; constructing an ecological network topology graph with each ecological patch in the restoration area as a node, using a graph neural network to learn the spatio-temporal characteristics and predict the state evolution of the multi-period ecological indicators, and generating a dynamic change curve of a comprehensive index of the restoration effect; and triggering a graded early warning when the comprehensive index deviates from a preset restoration target track. The application realizes quantitative monitoring and dynamic early warning of the effect of marine ecological restoration in an estuary and sea area.

The application discloses a kind of based on two-way distribution feature's silt transport prediction data processing method and system, it is related to data processing technical field, method includes obtaining first river channel interval, second river channel interval and third river channel interval, obtain river channel direction data sequence and depth direction data sequence;First longitudinal trend index, second longitudinal trend index and third longitudinal trend index are obtained, first vertical trend index, second vertical trend index and third vertical trend index are obtained;Obtain longitudinal variation coefficient, obtain vertical variation coefficient, obtain total variation index;If total variation index is less than preset threshold, the distance between the region to be predicted and silt entrance is obtained, the river channel direction prediction data of the region to be predicted is obtained, the depth direction prediction data of the region to be predicted is obtained.The application has the advantages of stability discrimination, quantization transport law and dynamic correlation verification.

This invention discloses a method for predicting the risk of landslides based on connectivity and a geographic detector. It employs a discretization approach to transform the comprehensive soil erosion index and influencing factors into characteristic parameters of categorical variables. Multicollinearity analysis is performed on all characteristic parameters to filter out those exhibiting collinearity. The geographic detector is used to calculate the explanatory power of each characteristic parameter for landslide risk in the target area and the frequency of landslide occurrence at sample points within different grids. The product of the explanatory power and frequency of landslide occurrence for different characteristic parameters within each grid is accumulated to obtain a spatial distribution map of landslide risk prediction for the target area. The beneficial effects of this invention are: by combining soil erosion and sediment transport potential, and using a geographic detector to analyze the explanatory power of each characteristic parameter for landslide occurrence, highly accurate landslide risk assessment results are obtained.

The present application provides a kind of based on unmanned aerial vehicle image's coast erosion monitoring method, belong to coast erosion monitoring technical field, the present application is by in the space and time reference control network of coastal zone monitoring region layout, adopts overall adjustment strategy to simultaneously enter unified coordinate system with multiple time phase image and is registered, utilizes octree space index organization point cloud data and extracts standard coast line position in combination with tide level-coast line response model, changes feature of coast line form is identified by persistence topological analysis, adopts hogge decomposition to reveal erosion driving force direction, topographic feature is input embedded into sediment transport physical constraint, and artificial intelligence prediction model outputs erosion rate field, based on the voxel grid method, calculates erosion volume and according to the erosion response adjustment function value dynamic adjustment sediment discharge flux correction coefficient, establishes multi-dimensional early warning index system to realize risk grade discrimination, solves the technical problem that multiple time phase coast erosion monitoring data registration accumulates large error and leads to the low precision of erosion change amount calculation.

The application discloses a kind of silt dam dam system space optimization intelligent simulation method based on high-resolution image, it is related to silt dam system planning technical field, including the geographic registration after the multiple high-resolution remote sensing images of target river basin, extract three-dimensional terrain information, generate surface deformation elevation difference grid through pixel level difference operation, extract the measured sediment discharge of each sub-basin, and combine with the rainfall data corresponding to different time, construct the sediment transport ratio model of each sub-basin, generate the actual sediment yield contribution intensity spatial distribution diagram of target river basin, it is used as input, in the spatial range of target river basin, with dam system overall service life maximization as target intelligent simulation optimization is carried out, at least including dam site coordinates and dam height dam system space layout parameter is solved, provide a kind of can analyze the dynamic process of river basin sediment yield and siltation, realize river basin sediment yield contribution intensity fine mapping, and can carry out system level optimization to dam system.The method.