633 results about "Erosion" patented technology

The invention provides a control node locating protecting method of undercutting channel segment water level lowering amplitude. The method comprises the steps that a lateral erosion zone and a deep erosion zone are divided; a target channel section is subjected to meshing, a plane two-dimension water flow mathematic model is established, parameter calibration and verification are carried out; a protection project is generalized to the plane two-dimension water flow mathematic model, the arranging zone and the width of the protecting project are determined; local gradient amplification and upstream water level amplification corresponding to each working condition are obtained, mesh sequences are analyzed respectively; key nodes or other nodes which have obvious influence are selected, for lateral erosion nodes, a hidden closure dam and a beach protection part are arranged on a river branch or a bottomland, and for deep erosion nodes, a bottom protecting band or a hidden closure dam are placed in a main groove. According to the method, nodes are divided into the lateral erosion nodes and the deep erosion nodes, protection part difference of the nodes in different types is provided, by comparing the efficiency of a local channel segment arranging protecting project, the positions of the nodes are accurately located, and the optimum efficiency of the protecting project is guaranteed powerfully.

The invention discloses a karst region water and soil loss monitoring method and system. According to the monitoring method, a water and soil loss risk prediction result of a target area is obtained based on a deployed acoustic sensor array, the acoustic sensor array is deployed at a key monitoring point of the target area to be monitored, and acoustic wave signals of the earth surface and underground environment are collected at the same time; acoustic wave signals detected by the acoustic sensor array are collected, and the acoustic wave signals are converted into frequency domain characteristic data; inputting the frequency domain feature data into a pre-trained acoustic mode recognition model, and recognizing acoustic features related to water and soil loss; based on an output result of the acoustic mode recognition model, judging the water and soil loss type, degree and development trend of the monitored area, and generating a water and soil loss risk prediction result; according to the invention, real-time and continuous monitoring of the water and soil loss process in the karst region is realized through an acoustic monitoring means, the monitoring precision and early warning timeliness are improved, and a scientific basis is provided for water and soil conservation management.

The invention relates to the technical field of flood discharge tunnel detection, and discloses a flood discharge tunnel automatic inspection and erosion defect intelligent detection method. The method comprises the following steps: acquiring structural state data in the flood discharge tunnel and performing standardization processing; dividing standard classification data according to preset hydrological working condition intervals, and extracting multi-modal sensing features of each interval to generate a working condition feature set; monitoring the switching frequency of the hydrological working condition interval, and activating a dynamic analysis strategy to identify an abnormal working condition interval when the switching frequency exceeds a preset threshold value; performing feature decoupling on the working condition feature set of the non-abnormal working condition interval according to the matching degree of the historical erosion stage feature and the current multi-mode sensing feature, and separating out an erosion feature subset; on the basis of coupling relevance of mechanical parameters and hydraulic parameters of the tunnel structure, parameter collaborative correction is carried out on the erosion feature subset; and finally, reversely tracing a potential defect source region along a defect evolution path by utilizing the corrected erosion feature subset, determining a repair priority and outputting a maintenance instruction.

The invention discloses a sulfuric acid erosion resistant self-repairing geopolymer system and a self-repairing method thereof, and relates to the technical field of composite materials and artificial intelligence. At least one self-repairing unit optimized for sulfuric acid erosion embedded within the geopolymer matrix; the in-situ multipoint pH sensing network is integrated in the geopolymer matrix and is used for monitoring spatio-temporal evolution data of a pH field in a sulfuric acid erosion process in real time; the edge calculation module is used for identifying a preliminary erosion indication according to the received spatio-temporal evolution data of the pH field; and the central AI decision module is used for evaluating an erosion state and predicting a development trend by utilizing an AI model optimized aiming at sulfuric acid erosion according to the identified preliminary erosion indication and the pH field spatio-temporal evolution data, and generating an optimal repair strategy to control the self-repair unit to perform self-repair. According to the invention, intelligent, active and refined protection and life management of the geopolymer in the sulfuric acid erosion process can be realized.

The invention provides a digital twin model correction method and system based on machine vision. The method comprises the steps that a comprehensive data set is constructed by collecting sounding data, tidal flow velocity data and unmanned aerial vehicle images, wave disturbance deviation and water surface reflection distortion are eliminated based on geometric feature matching, and a dynamic compensation coefficient is generated in combination with tidal parameters; after time deviation of sounding data is corrected, a dynamic incidence relation between terrain elevation and sediment migration rate is calculated, a digital twinborn model fusing sedimentary layer thickness distribution and tidal flow velocity driven erosion boundary prediction is established, and a visual terrain curved surface is generated; through reverse verification of real-time sediment accumulation characteristics and terrain curved surfaces, migration rate weight parameters are adjusted in a self-adaptive mode, and dynamic optimization of the model is achieved. High-precision dynamic coupling simulation of sea area terrain evolution and sediment migration is achieved, the real-time performance and reliability of island surface change prediction are improved, and coastal zone safety and economic collaborative decision making is supported.

The invention discloses a river sediment scouring and silting simulation method, and belongs to the technical field of hydraulic engineering and hydrological simulation. In order to solve the problem that it is difficult to accurately simulate the river sediment erosion and deposition evolution trend in the prior art, the method comprises the steps that on the basis of actually measured topographic data and channel chart data of a target river reach, a water-sediment coupling mathematical model is constructed by adopting a non-uniform sediment unbalance sediment transportation theory, and the model interacts with a water power module and a wave module in real time through an MCT coupler; actually measuring a flood and water and sediment series data calibration verification model; and obtaining future water and sediment process data predicted by a plurality of climate modes, inputting the future water and sediment process data into the verified model, dividing river reaches according to the characteristics such as riverbed gradient and river channel curvature, and calculating the erosion and deposition amount of each sub-river reach in the future 50 years. The method can simulate water flow and sediment movement of rivers, reservoirs and lakes, can be applied to the fields of riverway regulation planning, flood control and disaster reduction decision making, reasonable development and utilization of water resources and the like, and provides important data support and scientific basis for construction and management of water conservancy projects.

The invention belongs to the field of soil rock engineering, and provides a three-surface integrated geologic structure modeling method for a deep and large foundation pit in a river-adjacent region, which comprises the following steps: acquiring physical and mechanical parameters and hydrogeological information of the deep and large foundation pit in the river-adjacent region; dividing spatial distribution of different soil layers and rock stratums; describing the influence of water level time variation on the pore water pressure and subsurface erosion of the surrounding rock of the foundation pit through an unstable seepage equation; dividing a finite element or finite difference grid, and applying a dynamic water level and ground load boundary condition; gradually unloading and analyzing the evolution of an underground water flow field and a soil-rock deformation field in each excavation step, and enabling the water surface-ground-soil-rock surface coupling effect to penetrate through the whole excavation process; and numbering the support members, sequentially simulating local failures of the support members, recording the maximum horizontal displacement, the maximum vertical displacement or the change curve of the safety coefficient along with the number of the failure members after each failure of the foundation pit, quantifying the redundancy of the support system, and identifying key members. According to the scheme, the accuracy of the model is improved.

The invention discloses a device for monitoring the moisture content of soil at different depths and application of the device. The device comprises a main rod, a driving structure and a sensor, a cavity is formed in the main rod, a plurality of detection windows are formed in one side of the main rod, and the detection windows are sealed by elastic bodies; the driving structure comprises a driving belt, and the sensor is driven to be close to or far away from the detection window, so that the probe penetrates through the elastic body or retracts. According to the device for monitoring the moisture content of the soil at the different depths, the driving belt is used for driving the sensors to move in the radial direction of the main rod in series, so that the sensors penetrate through the elastic body arranged at the detection window to achieve moisture content detection, a gap between two times of detection can retract into the main rod, long-term erosion to the sensors is avoided, and the detection accuracy is improved. The service life of the sensor is obviously prolonged; the detection precision of the sensor is maintained; in addition, the driving mode of the driving belt avoids failure caused by entrainment of a small amount of soil particles, and the long-term stable monitoring capability of the device is further improved.

The invention discloses a high and cold arid region slope soil stability safety risk evaluation system and method, and relates to the technical field of slope engineering. The state of each side slope under multi-dimensional indexes such as freeze-thaw cycle frequency, dry-wet alternation index, wind erosion strength, shear strength, water content, porosity and fracture density is quantified, the feature similarity between any two side slopes is calculated, and then a side slope feature similarity matrix is formed. Based on the matrix, an unsupervised clustering algorithm (such as spectral clustering, similarity propagation and the like) can be adopted to divide a plurality of side slopes into similar subsets with structural characteristics similar to environmental response, and category attribution of risks is achieved. On the basis, structural variation analysis, historical instability statistics and central risk difference extraction are performed on similar slope samples, so that the internal instability tendency of the slope can be identified, and a risk prediction model suitable for the type of slope can be constructed through feature training.

The invention relates to the technical field of side slope erosion, and discloses a method for detecting the influence of salt crust on side slope erosion, which comprises the following steps: collecting soil data, salt crust data and physical crust data of a side slope to be detected, and constructing a side slope simulation device; constructing a rainfall erosion simulation device; the rainfall erosion simulation device is used for carrying out rainfall simulation on the slope simulation device, crust monitoring data in the rainfall simulation process are obtained, when the crust monitoring data reach physical crust data, recording points are set, the corresponding initial rainfall duration is obtained, runoff collection data are obtained after rainfall simulation is stopped, and the runoff collection data are stored in the slope simulation device. And determining an erosion modulus according to the runoff collection data, and establishing a correlation model of the influence of the salt crust on the slope erosion based on the erosion modulus. By comprehensively considering the influence of salt crust and physical crust on slope erosion, the erosion process of the slope under the actual rainfall condition can be simulated more accurately.

The invention relates to a sandy coast back shore ecological restoration multi-objective optimization method based on an NSGA-II algorithm, and the method comprises the following steps: S1, selecting a damaged sandy coast, carrying out the background investigation, and calculating a wave climbing value; s2, determining a vegetation arrangement range of the damaged sandy coast; s3, beach shoulder sand supplement of beach shoulder width is conducted on different areas of the damaged sandy coast, and sand dune sand supplement of an artificial sand dune is conducted; s4, calculating the wind erosion prevention efficiency and the wave erosion prevention efficiency of the dominant vegetation; s5, constructing a sandy coast back shore ecological restoration multi-objective optimization function and constraint conditions; s6, solving the multi-objective optimization function based on an NSGA-II algorithm to obtain an optimal vegetation configuration scheme set; s7, based on actual conditions, selecting an optimal vegetation configuration scheme for planting; and S8, detecting vegetation data after planting, and starting a reseeding program when the survival rate of vegetation is lower than a threshold value. Compared with the prior art, the method has the advantages that the fitness of the multi-power environment is improved, and then the windproof and wave-resistant effects are optimized.

The invention relates to the technical field of seepage deformation and hydrodynamic erosion, and discloses an accumulation body risk assessment method and system based on a seepage deformation mechanism, and the method comprises the steps: measuring the loss of particles in an accumulation body and the seepage flow change through a slip band seepage erosion test, and constructing a hydrodynamic erosion constitutive model; carrying out numerical simulation through a particle discrete element and computational fluid dynamics method, and establishing a numerical calculation model of the typical landslide accumulation body; and analyzing seepage deformation of the accumulation body under the action of the variable water head, and evaluating the stability of the accumulation body. The method can solve the problem of risk assessment and management of the landslide accumulation body under the action of dynamic hydrodynamic load, especially how to effectively assess the stability of the accumulation body and take protective measures in time under complex hydrogeological conditions, so as to ensure the engineering safety.

The invention discloses an underwater delta erosion and deposition evolution analysis method based on water depth data, and relates to the technical field of ocean engineering, the underwater delta erosion and deposition evolution analysis method comprises the following steps: collecting section actually measured water depth data, remote sensing data and hydrological data over the years of an underwater delta in a research area, and preprocessing to unify a coordinate system and an elevation datum; and establishing a water depth database of the underwater delta of the crossheading petals by utilizing the preprocessed actually measured water depth data, and covering all stages of the construction period and the discarding period. According to the method, multi-temporal remote sensing data and section actually-measured water depth data over the years are integrated, a space-time continuous database covering the whole period from the construction period to the discarding period is constructed, seven-parameter coordinate conversion and the Kriging interpolation technology are combined, a data missing area is effectively filled up, a continuous water depth surface with the spatial resolution smaller than or equal to 50 m is generated, and the method is suitable for large-scale popularization and application. Dynamic monitoring limitation caused by data faults in traditional research is broken through, erosion and deposition evolution analysis is changed from fragmented observation to systematic tracking, and data support is provided for accurate evaluation of seabed stability.

The invention relates to the field of pole tower pile foundation protection, and discloses a replaceable pole tower concrete pile foundation protection device which comprises a pole tower pile foundation embedded in underwater sludge; the foundation pit is arranged on the underwater sludge, the depth of the foundation pit reaches the middle position of the tower pile foundation base, and the foundation pit is filled with broken stones to form a broken stone hardcore; the mounting plates are arranged on the pole tower pile foundation; the protection plate is arranged on the mounting plate and is rotatably arranged on the mounting plate; and the protection plates can automatically rotate according to the strength and direction of water flow, and are matched with the anchoring effect of the inserting rods, so that the gravel hardcore is effectively stabilized, the gravel layer is prevented from being lost, and the stability and anti-scouring capacity of the pile foundation are further enhanced. Through the design of the clearing rod, sediments on the outer wall of the tower pile foundation can be regularly cleared away, unsmooth water flow or uneven scouring caused by sediment accumulation is avoided, and the situation that the service life of the pile foundation is shortened due to biological corrosion is prevented. And through the effective sliding and scraping effects of the removing rod, the corrosion influence of attachments on the pile foundation can be reduced, and smooth water flow is ensured.

The invention relates to the technical field of water conservancy and hydropower engineering, in particular to a subsurface erosion particle system mechanical property testing method based on physical state reproduction and dynamic expansion, which comprises the following steps: S1, subsurface erosion test and fine particle collection: filling a sample soil body by using a subsurface erosion tester, and carrying out a seepage action test; s2, lossless sampling and CT image acquisition: carrying out lossless sampling on the residual soil sample after the subsurface erosion test, and acquiring a CT scanning image of a particle system of the residual soil sample; s3, image processing and structural feature extraction: processing the CT scanning image, and extracting structural features; s4, establishing a numerical model: establishing the numerical model to simulate the mechanical properties of the soil body; and S5, three-axis simulation and mechanical property calculation: carrying out a three-axis simulation experiment on the numerical model. According to the invention, high-precision modeling and intelligent analysis of the microstructure and mechanical behavior of the subsurface erosion soil body are realized, and the test efficiency and the reliability of engineering application are remarkably improved.

The invention relates to the technical field of soil splash erosion, in particular to a soil splash erosion simulation analysis system which comprises a rainfall simulator for simulating rainfall with different intensities and different pH values; the wind simulator adjusts wind speed and wind direction; raindrop data are measured by raindrop characteristic measuring equipment; the splash erosion simulation equipment simulates the process that raindrops drop on target soil to cause splash erosion and generate splash erosion substances; the data acquisition equipment acquires the corresponding initial pH value and initial conductivity of the target soil before rainfall; collecting the target pH value, the target conductivity and the target denudation depth of the target soil after rainfall, and the average weight diameter and the total target splattering amount of the target splattering substance corresponding to the splattering substance; the electronic equipment determines and establishes a splash erosion prediction model based on the raindrop pH value, the raindrop data, the wind speed, the wind direction and the data acquired by the data acquisition equipment, and the soil splash erosion simulation analysis system capable of quantitatively analyzing soil splash erosion in real time is developed.

The invention relates to the technical field of ocean engineering and hydrological observation equipment, and discloses a self-powered hydrological detection device self-adaptive to seabed erosion and deposition changes, comprising a self-powered system comprising a vertical shaft eccentric helical blade, a rotor cross bar and a rotor vertical shaft, the bottom of the rotor vertical shaft is connected with a power generation module, and the bottom of the rotor vertical shaft is connected with a power supply module; the two rotor cross rods are sequentially arranged on the outer wall of the rotor vertical shaft from top to bottom, the outer walls of the three vertical shaft eccentric spiral blades are installed on the rotor cross rod triangles respectively, and the power generation module is electrically connected with an energy management unit. Through linkage control of the terrain adaptability system and the LSTM prediction model, on one hand, dynamic adjustment of the anchoring depth of the support can be achieved, and instrument displacement or burying is avoided; on the other hand, overall lifting and oblique movement of the device can be achieved, and equipment recovery and detection position conversion are facilitated; and meanwhile, an ocean current-temperature difference complementary power generation and intelligent energy storage system is adopted, so that five-year maintenance-free continuous power supply is realized.

The invention discloses a soil wind erosion measuring device and a soil wind erosion measuring method, relates to the technical field of wind erosion measurement, and provides the following technical scheme that the soil wind erosion measuring device comprises a supporting mechanism, a weighing mechanism, a measuring mechanism, a control mechanism and a scanning mechanism, the weighing mechanism, the measuring mechanism, the control mechanism and the scanning mechanism are all located on the supporting mechanism, the supporting mechanism comprises a first stand column, a second stand column, a third stand column and a fourth stand column, the outer surface wall of the first stand column is provided with a set of sand holes, and the outer surface wall of the second stand column is provided with a set of first supporting rings; the wind speed sensor, the wind direction sensor and the rainfall sensor are used in cooperation, intelligent linkage of environment perception and equipment operation is achieved, compared with traditional wind erosion monitoring equipment, the data acquisition dimension is upgraded to 4D from 2D, energy consumption is greatly reduced, and the wind erosion monitoring equipment is suitable for long-term unattended monitoring in the extreme environment.

The invention discloses a black soil erosion simulation system with rainfall runoff and snow melting confluence coupling effect. The system comprises a data acquisition system, a rainfall simulation system, a snow melting simulation system, a runoff collection and monitoring system, a black soil simulation area, a data processing and analysis system and a control system. The data acquisition module comprehensively collects various types of data of the black soil area; each simulation subsystem accurately simulates rainfall, snow melting and coupling processes; the runoff collecting and monitoring subsystem monitors runoff in real time; the black soil simulation area simulates the field condition; the data processing and analysis module deeply mines data, establishes a model and predicts a trend; and the control system realizes automatic accurate control. The whole system adopts a modular design and is convenient to maintain and upgrade. The operation, system flow, maintenance upgrading and application cases of each module are elaborated through a specific implementation mode, a powerful tool is provided for black soil erosion research, and a scientific basis is provided for making prevention and control measures.

The invention relates to a soil erosion amount dynamic monitoring method and system based on multi-source remote sensing data fusion. The method comprises the following steps: acquiring multi-source remote sensing data and auxiliary data, and performing geometric fine correction and atmospheric correction on an image based on high-resolution digital elevation data to obtain a data set with consistent space; performing inversion based on the data set to obtain a corrected terrain factor and a water and soil conservation measure factor; generating a time sequence rainfall erosivity factor and a time sequence vegetation coverage factor in combination with the multi-temporal satellite rainfall data; and calculating a preliminary soil erosion modulus in combination with the soil type map, and correcting by using multi-stage high-resolution digital elevation data to obtain a dynamic monitoring result of the soil erosion amount. By adopting the method, the problem of multi-source data fusion matching can be solved, and the factor inversion precision is improved, so that the accuracy of a dynamic monitoring result of the soil erosion amount is improved.

The invention discloses a numerical simulation method, device and equipment for ice rock collapse starting and a medium, relates to the technical field of fluid motion simulation, and provides an FDEM-SPH coupling framework. Through a CIE unit in the FDEM method, crack propagation and fracture processes in rock masses are accurately simulated, and after the CIE unit is completely fractured, the FDEM method simultaneously simulates various contact forms between two separated finite units, so that mutual movement and interaction between fractured rock masses can be accurately described; ice and snow melting and movement in the ice-water phase change process are simulated through the smoothed particle flow SPH, and meanwhile, the interaction between ice-water phase change and rock mass fracture movement can be quantified by calculating the contact force between virtual particles in the smoothed particle flow SPH and the surface of a finite element in the finite discrete element method FDEM; the interaction reflects the erosion and impact of the ice-water phase change on the rock mass in the whole process and the actual physical condition in the ice rock collapse starting process, so that the ice rock collapse change more fitting the real condition is described.

The invention discloses a freeze thawing-wind erosion-load coupled concrete damage test device and method, and relates to the technical field of concrete performance test devices. The freeze thawing-wind erosion-load coupled concrete damage test device comprises a test box, a sand blowing assembly and a temperature control assembly, the test box is provided with a test cavity, a press machine used for clamping a concrete block and applying a load is arranged on the test box, the sand blowing assembly comprises a sand blowing pipe used for conveying wind sand to the concrete block, and the temperature control assembly is arranged on the sand blowing pipe. The included angle between the axis of the sand blowing pipe and the axis of the air supply pipe is adjustable, and the temperature control assembly is used for adjusting the temperature in the test cavity. The freeze-thaw-wind erosion-load coupled concrete damage test device can simulate a complex concrete service environment under the coupling action of freeze-thaw cycle, wind sand erosion and axial load, and more accurately reflect the initial damage evolution of the service concrete and the durability degradation law of the concrete with initial damage; and the accuracy of experimental research is improved.

The invention relates to a solid-liquid mixture particle screening, grading and applying device, and belongs to the technical field of soil treatment. The device comprises a screening box body with an inlet and an outlet, multiple stages of screening mechanisms are sequentially arranged in the box body, and each stage comprises an inclined screening plate and a driving assembly; the sieve plate is linked with the swing connecting rod through the eccentric wheel to achieve digging, transporting and throwing actions, the sizes of meshes are gradually reduced to separate particles with different particle sizes, and oversize materials are conveyed to the independent applying and scattering openings through the corresponding screw rod bins. In the working process of the device, small particles preferentially improve the soil through bottom layer screening, and large particles enhance the wind and sand resistance through the surface application layer, so that the soil fertility improvement and sand stabilization effects are synchronously achieved. Through the optimal design of the swing path of the sieve plate and the precise material conveying of the screw bin, the problem that a solid-liquid mixture is difficult to layer and cover in desertification control is solved, the sorting efficiency and the spreading uniformity are improved, and the device has the characteristics of being compact in structure, reliable in driving and high in applicability, and is suitable for large-scale control of desertification and saline-alkali soil.

The invention discloses an abandoned mine oil storage chamber surrounding rock property evaluation method, and relates to the technical field of mineral engineering. The method comprises the following steps: acquiring damaged rock samples with different oil-water soaking times, and analyzing silicon element content change, surface particle characteristics, crack development and hole depth change of the damaged rock samples so as to determine internal structure erosion degree and surface topography characteristics; drawing a uniaxial compression stress-strain curve, a time-varying curve of acoustic emission ringing count rate and accumulated ringing count, a damaged rock sample RA-AF graph and a typical moment vertical displacement field graph, and obtaining acoustic emission characteristics and a surface displacement field of the damaged rock sample; calculating different energy values and drawing an energy evolution trend curve; and comprehensively evaluating the rock properties of the damaged rock sample under different oil-water soaking times according to the internal structure erosion degree, the surface topography characteristics, the acoustic emission characteristics and the energy evolution law. According to the invention, the multi-angle macro-micro characteristics of the surrounding rock of the abandoned mine oil storage chamber can be analyzed, and the comprehensive evaluation of the surrounding rock property is realized.

The invention relates to the technical field of drilling fluids, in particular to a preparation method of a plugging agent for shale and coal rock and a water-based drilling fluid, and aims to solve the problems that an existing plugging agent is poor in plugging effect on small cracks of shale and coal rock and poor in stability in a high-temperature environment. After the plugging agent for the shale and the coal rock is added into the water-based drilling fluid, the high-temperature-resistant nano polymer emulsion and the silane modified nano montmorillonite can enter small cracks of the shale and the coal rock to be mutually interwoven under the synergistic effect of the high-temperature-resistant nano polymer emulsion and the silane modified nano montmorillonite, so that a three-dimensional plugging network structure is jointly constructed, and the cracks are effectively plugged; the plugging agent can effectively prevent drilling fluid filtrate from invading the stratum, has excellent high-temperature resistance, is stable in structure in a high-temperature environment, can still keep good plugging performance under severe conditions of high temperature, high pressure, drilling fluid scouring and the like, and meets the high-temperature drilling requirements of deep shale gas and coal bed gas exploitation. And the safety and the efficiency of drilling operation can be improved.

The invention relates to the technical field of soil erosion gully information detection, and particularly provides a black land erosion gully identification method and system, electronic equipment and a storage medium. The multi-scale feature fusion network is mainly composed of a local feature extraction module, a global feature extraction module and a feature fusion module, the local feature extraction module is mainly used for extracting local texture features such as edges, widths and morphological changes, and the global feature extraction module is mainly used for extracting global structure features such as distribution, directions and adjacent relations; and layer-by-layer fusion transmission is carried out through a feature fusion module, different domain feature fusion is realized, and finally, a feature map is decoded and output. Compared with a traditional method, the method has the advantages that the segmentation precision and the extraction result continuity of the erosion gully are remarkably improved, and the defects of poor long gully extraction continuity, low short gully recognition accuracy and the like of the traditional method are overcome.

The invention provides a water and soil loss early warning method and device based on climate change, and relates to the technical field of machine learning, and the method comprises the steps: collecting the surface temperature data and freeze-thaw state data of a target region in real time, and determining the freeze-thaw cycle state of a surface active layer based on a set freeze-thaw state criterion; calculating the melt water runoff generation amount of the surface active layer based on the freeze-thaw cycle state, and calculating the comprehensive runoff yield by combining rainfall forecast data; dynamically calculating the unit surface scouring force based on the comprehensive runoff runoff yield, and judging whether the unit surface scouring force reaches an erosion starting state or not based on a soil instability limit shear threshold value under the freezing-thawing interface; and triggering water and soil loss early warning when the superposing effective melt water runoff volume of the earth surface freeze-thaw conversion state reaches a preset percentile and the earth surface unit scouring force exceeds a soil instability limit shear threshold value. According to the invention, early warning can be carried out according to climate change for water and soil loss in alpine regions.

The invention discloses a complex slope runoff simulation method based on multi-source data fusion. Comprising the following steps: fusing an unmanned aerial vehicle LiDAR, a ground penetrating radar and a remote sensing image, and considering physical coupling relationships such as vegetation root systems to generate a high-precision and physically consistent initial earth surface parameter field; the method comprises the following steps: identifying micro-topographic depression through a graph cutting algorithm and the like, and constructing a dynamically evolved slope overflow network based on a depression filling-overflow mechanism; establishing an overflow-scour-infiltration dynamic feedback regulation and control mechanism, wherein the scour intensity calculated according to overflow data is used for correcting the saturated hydraulic conductivity of the soil in real time, and corrected parameters are immediately fed back to an improved Green-Ampt infiltration model; through coupling solution of a multi-time scale algorithm, spatial and temporal distribution of slope runoff is output, and early warning and inversion of critical rainfall conditions can be triggered. The underlying surface dynamic feedback process can be simulated, the simulation reliability is improved, and technical support is provided for mountain torrent early warning.

The invention provides a quantitative risk assessment method and system for an ice rock collapse-river blockage-dam break flood disaster chain. The method comprises the following steps: acquiring an ice rock collapse risk grade index by adopting a BP neural network improved by an Adam optimizer; if the ice rock collapse occurs, correcting and calculating an ice rock collapse movement path based on a D8 algorithm in combination with a rock-soil friction coefficient, correcting the volume in real time through an erosion-accumulation dynamic balance model, and constructing a river blocking risk grade index in combination with the river entering volume and speed; the stability of the dam body is evaluated through a dynamic catchment area model and a Sigmoid function, and the dam break risk is calculated in combination with the ratio of the volume to the area; and if the dam break disaster does not occur in the barrier dam, integrating the ice rock collapse risk grade, the river blocking risk grade and the dam break risk grade index, and evaluating the comprehensive risk of the disaster chain. According to the method, disaster prediction of each stage is realized through neural network improvement, path optimization analysis and variance tracking change, and comprehensive risks are evaluated through multi-element coupling.

The invention provides a device for simulating soil erosion during seawall overtopping and a simulation method. A water flow passage is defined by the inner wall surface of a test pipeline, and a test piece inlet is communicated with the water flow passage; the water outlet end of the water supply device communicates with the upstream of the water flow channel. The test piece jacking device comprises a jacking mechanism, a detection piece and a control module, a test piece mounting position on the jacking mechanism is embedded in a guide cylinder connected with the test piece inlet, a test piece extends into water flow of the water flow passage along with movement of the test piece mounting position, and the distance from the top of the test piece to the bottom of the water flow passage is the upper limit height; the detection piece detects the height of the test piece in the water flow channel; the control module is used for controlling the jacking mechanism to drive the test piece mounting position to ascend when the detection piece detects that the height of the test piece reaching the bottom of the water flow passage reaches the lower limit height, so that the distance from the top of the test piece to the bottom of the water flow passage reaches the upper limit height again, soil body erosion during seawall overtopping is simulated, and soil body erosion characteristics are researched.