387 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 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 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 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 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 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 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 relates to a self-repairing flow state solidified soil reinforced retaining wall for slope toe reinforcement and a construction method, and the retaining wall comprises a wall body which is formed by self-repairing flow state solidified soil in a cast-in-place mode and is provided with extension sections on the two sides, and drainage holes are formed in the extension sections; the foundation is arranged on the foundation and used for supporting the wall body; the reinforcement system is composed of multiple layers of geogrids and embedded in the wall body in a layered mode, one end of each layer of geogrid is anchored in the wall body, and the other end of each layer of geogrid extends backwards and is anchored in the backfill area; when the retaining wall has micro-cracks due to uneven settlement of a soft foundation, the high-alkali environment at the cracks can immediately trigger the alkali-sensitive self-repairing microcapsules to be broken, the released repairing material can generate gel in situ to seal the cracks, the mechanism converts traditional passive damage into active repairing, crack development is effectively restrained, an erosion channel is blocked, and the service life of the retaining wall is prolonged. Therefore, the long-term durability of the retaining wall is obviously improved.

The invention discloses a design method for anti-erosion tunnel parameters. The design method comprises the steps that tunnel environment information and a tunnel safety index range are acquired; determining a catastrophe risk of the tunnel based on the tunnel environment information; determining a tunnel structure parameter range based on the catastrophe risk of the tunnel; determining tunnel structure parameters based on the tunnel structure parameter range; determining tunnel safety indexes based on the tunnel structure parameters; and determining or adjusting tunnel structure parameters based on a comparison result of the tunnel safety index and the tunnel safety index range. According to the design method of the anti-erosion tunnel parameters, blindness and randomness of composite corrosion and erosion surrounding rock tunnel structure parameter values are avoided, the tunnel rigidity and durability are effectively guaranteed, and the later tunnel structure degradation risk is reduced.

The invention provides a decision-making method and system for the influence of water and sand linkage above a slope on the erosion amount below the slope. The system comprises an experiment control unit, an REE element layout unit, a dynamic monitoring network unit and a data acquisition and analysis unit. The experiment control unit comprises a parameterization experiment design module and a process sample dynamic sampling module, and the REE element laying unit comprises a layering marking module and a tracer agent selection and stability control module; the method not only objectively describes the temporal and spatial change rule of relative erosion amounts of different parts of the slope in the erosion occurrence process, but also can continuously analyze the influence of water and sand coming from the upper part of a certain section of the slope on the erosion process below, thereby dynamically judging and measuring the slope sediment source and analyzing the influence of water and sand linkage above on the erosion process below. The purpose of monitoring the sediment source and the soil erosion amount of different terrain parts is achieved.

The invention discloses a plateau structure active area debris flow development characteristic and disaster-causing mode identification method and system, and relates to the technical field of debris flow prevention and control engineering, and the method comprises the steps: S10, determining the development characteristic parameters of the plateau structure active area debris flow based on remote sensing and field investigation; s20, determining a debris flow formation mechanism, and calculating a debris flow influence range; and S30, analyzing the relationship between the debris flow influence range and the position of the potential influence area so as to judge the debris flow disaster-causing mode. According to the method, on the basis of obtaining the basic parameters of the debris flow, the development characteristics are identified, then the scale of the debris flow is calculated, the debris flow disaster-causing modes are determined, and the selectable debris flow disaster-causing modes comprise impact disaster-causing modes, silting disaster-causing modes and erosion disaster-causing modes. The method has a good effect of judging the debris flow disaster-causing mode of the plateau structure active area, can identify the disaster-causing mode of the glacier and glacier lake debris flow in the plateau area, and fills the blank in the debris flow disaster-causing mode identification technology.

The invention relates to a coastal zone sediment erosion pore scale flow field observation system and observation method. The observation system comprises a wave-flow water tank, a sediment accumulation body arranged in the wave-flow water tank and PIV equipment used for observing the internal flow field and the pore size of sediment. A wave making plate and a wave dissipating plate opposite to the wave making plate are arranged in the wave flow water tank, experimental fluid used for simulating waves is arranged between the wave making plate and the wave dissipating plate, and a wave height meter floats on the experimental fluid; the sediment accumulation body is formed by accumulation of transparent solid particles with the same refractive index as the experimental fluid; the PIV equipment comprises a laser light source and a camera, the laser light source is focused on the sediment accumulation body, and the camera directly faces the sediment accumulation body and is used for collecting images. Compared with the prior art, a clearer sediment pore internal flow field image is obtained through the combination of the refractive index matching technology and the image particle velocity measurement method, so that effective observation of the pore scale flow field eroded by the sediment in the coastal zone is realized.

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

The invention discloses a method for manufacturing a simulated earthen ruins rammed earth test wall based on original diseases, and relates to the field of earthen ruins protection and restoration. The method comprises the following steps: step 1, determining earthen archaeological site diseases to be researched and preparing materials; 2, mold assembling and disease marking are carried out; 3, layered ramming is conducted; step 4, crack disease processing; step 5, performing undercutting disease processing; 6, weathering disease processing; step 7, processing rain erosion diseases; and step 8, northwest environment simulation. The earthen archaeological site rammed earth wall is manufactured by integrating multiple disease collaborative simulation technologies of fissure, undermining, weathering and rain erosion, meanwhile, adaptability design of a strong wind erosion area, a strong sunshine area and a strong salinization area is made for northwest arid areas, and the method has the core advantages of disease reproduction authenticity, standardized grading, environment adaptability and the like; a scientific and reasonable technical means is provided for earthen archaeological site protection engineering, and a reliable test piece is provided for research and development of a protection technology.

The invention discloses a meteorological risk analysis early warning system based on meteorological data, and relates to the technical field of meteorological perception early warning, the meteorological data and structure operation data of an area where a power transmission tower is located are collected, wind direction abrupt change feature recognition is carried out to obtain a wind direction abrupt change rate V theta, a sand and dust invasion change index Esant is constructed, and the wind direction abrupt change rate V theta is obtained; the method comprises the following steps: performing sand-dust invasion state evaluation on a sand-dust invasion judgment threshold Ethresh, performing sand-dust impact response analysis when the sand-dust invasion judgment threshold Ethresh is evaluated as a sand-dust impact period, constructing an instantaneous shear wind pressure stress sigma sh, further obtaining a foundation erosion response coefficient Rfd in combination with a sand-dust invasion change index Esant, and performing coupling modeling on the instantaneous shear wind pressure stress sigma sh and the foundation erosion response coefficient Rfd to obtain a foundation erosion response coefficient Rfd. And the structural fatigue rate PLfat is obtained to evaluate the structural safety state of the power transmission tower, so that the response sensitivity of the early warning system to high-frequency sand and dust disturbance is improved, and safe and stable operation of power transmission facilities under extreme weather conditions is ensured.

The invention discloses a reservoir capacity prediction method considering underlying surface change conditions, and aims to solve the problems that the prediction value of an existing scheme is too large, deviation exists between the estimated reservoir capacity and the actual reservoir capacity, the functions of flood control, water supply, irrigation and the like of a reservoir are affected, and the economic benefits of the reservoir are directly affected. The method comprises the following steps: acquiring actually measured water and sediment series data of a reservoir in historical periods, analyzing the reservoir water and sediment change trend, determining reservoir runoff and reservoir sediment abrupt change points in combination with underlying surface factor changes, dividing different stages of reservoir sediment change, and calculating soil erosion amounts of drainage basins above the reservoir in different stages. And converting the reservoir sand amount in the early stage into the reservoir sand amount under the current underlying surface condition by using the conversion coefficient, estimating the reservoir sand amount in the planning level year or the design level year, and analyzing the reservoir capacity curve in the future. The reservoir capacity prediction method achieves the effects of more accurately predicting the reservoir capacity, exerting the reservoir function, improving the reservoir benefit and avoiding the waste of engineering investment.

The invention relates to the technical field of water and soil loss identification, and discloses a water and soil loss disturbance pattern spot identification method, device and equipment and a storage medium, and the method comprises the steps: taking any two stages of remote sensing images as research objects, marking a land type change region between the two stages of remote sensing images through an image processing method, and carrying out the cutting; reducing the size of pictures in a sample data set, training a plurality of deep learning change detection models by using a training set in the sample data set, and evaluating a training result through an F1 score, an accuracy rate, a recall rate, a cross-union ratio and an accuracy rate to obtain an optimal change detection model and a corresponding model weight parameter; remote sensing images of any two periods in other periods are processed through the optimal change detection model, the land type change area of the whole research area is recognized, the supervision efficiency and accuracy of the land type change area are effectively improved, and efficient and reliable technical support is provided for water and soil loss disturbance recognition.

The invention discloses an indoor test device and a test method for simulating soil-structure interface seepage erosion, and belongs to the field of hydraulic structure and interface seepage damage simulation. The device comprises a seepage chamber, a structural interface module, a test soil body, a graduated scale, a pressure measuring pipe, a particle filter sieve, a drainage funnel, a water receiving container, a weighing device, a water supply tank, a water storage tank 19, a variable-height bracket and a water pump. The device adopts a double-outlet design to respectively measure the seepage flow at the soil body and the interface, and is matched with the four pressure measuring pipes to monitor the water pressure change at different positions in real time, so that the interface seepage characteristics can be accurately obtained, and the test error is effectively reduced. The three side faces of the seepage chamber are covered with the flexible rubber films and coated with vaseline, it is ensured that the seepage channel is only formed in the preset structural face, interference of the boundary effect on the test result is avoided, and the test precision is improved.

The application provides a local surge-induced adjacent reef seabed topography evolution model test device and test method, and the device comprises a soil box, a soil layer, a runner, a handle, a support, a fixing ring, a hose, an adjusting pipe, a pore pressure gauge, a displacement gauge and a partition plate. A constant pressure water head is set at one end to simulate a far-field water pressure, a hose fixed on the runner periodically rises and falls at the other end, a periodic surge pressure is formed in the soil layer on the right side of the partition plate, and the local scouring and far-field pressure seepage migration effects of the local surge on the adjacent reef seabed are simulated. The pore pressure gauge is used to determine the pore pressure change of the stratum to analyze the local scouring force and the far-field stratum seepage force change of the adjacent reef seabed, and the displacement gauge is used to determine the stratum displacement to analyze the local scouring deformation and the far-field pressure seepage migration law of the adjacent reef seabed. The influence of the local surge cycle, amplitude and pressure sudden increase point position on the surface morphology of the adjacent reef seabed is researched, and analysis basis is provided for the adjacent reef seabed topography evolution, far-sea island reef construction and erosion protection.

The invention relates to the technical field of regional soil erosion, in particular to an erosion gully density rapid estimation method and related equipment, after remote sensing image data of a target region is obtained, the region is divided into different types of prediction units according to landform unit characteristics, and influence factor data is extracted from each unit. And then inputting the data into a pre-trained target prediction model to obtain an erosion gully density prediction value corresponding to each prediction unit. And finally, based on the erosion gully density prediction values of all the prediction units, drawing an erosion gully density spatial distribution diagram of the target area.

The invention discloses a method for estimating the soil loss amount in a karst region, and the method comprises the steps: determining a negative exponential function relation between a rock exposure rate and the soil loss amount based on field in-situ observation; according to the negative exponential function relation, stony desertification factors used for quantifying the inhibition effect of rock exposure on soil erosion are constructed; introducing the stony desertification factor as a multiplicative factor into an RUSLE model, and establishing an RUSLE-D model; and obtaining each RUSLE factor data and rock exposure rate data of the target area, inputting the RUSLE-D model, and calculating the soil erosion amount of the target area. According to the invention, the accuracy and practicability of model estimation and prediction are improved.

The invention provides a mining ground fracture erosion prediction method, device and equipment under a freeze-thaw condition, and belongs to the field of geological research, and the method comprises the steps: obtaining the related data of a target mining ground fracture; calculating a frost heaving stress field and a mining-induced tensile stress field based on the related data, and performing superposition to obtain a total tensile stress field; when the total tensile stress field is greater than the tensile strength of the soil, calculating the coupling damage degree; based on the coupling damage degree, the effective cohesion and the effective internal friction angle of the soil are determined, and then the critical starting shear stress of the crack and the average flow velocity of the scouring critical state are determined; based on the critical starting shear stress and the average flow velocity, total energy consumed for erosion and collapse of the soil body in unit area is determined, and actual water flow power is calculated; and calculating the ratio of the total energy to the actual water flow power to obtain a physical index of the anti-erosion comprehensive capability of the soil so as to judge the erosion risk state of the soil crack. Therefore, space-time prediction and accurate early warning of the erosion risk can be realized.

The invention relates to the technical field of slope ecological monitoring, in particular to an intelligent monitoring system and method for the ecological environment of a rock slope of a highway in a cold region. According to the method, the high-precision digital elevation model is efficiently generated through an unmanned aerial vehicle remote sensing and ground measurement fusion technology, and a reliable basis is provided for analysis; based on a freeze-thaw attenuation coefficient fitted in a laboratory, the cohesive force and the internal friction angle of the rock mass are dynamically corrected, and the accuracy of stability analysis of the slope in the cold region is improved; the geological safety coefficient, the vegetation index and the soil erosion index are fused and weighted, a unified ecological risk evaluation model is constructed, integrated and intelligent comprehensive monitoring and risk evaluation are carried out on the slope geological stability and the ecological environment condition, and decision-making assistance is provided for the cold region slope ecological environment.

The invention belongs to the technical field of oil and gas development and exploitation engineering in the petroleum and natural gas development industry, and particularly relates to a method for predicting and evaluating the volume and structural instability of an erosion hole in an annular gravel layer of a gravel-packed well. The limit deficit rate of the annular gravel packing layer is accurately estimated; based on the dynamic characteristics of the production fluid, simulating and predicting the void ratio of the erosion hole of the gravel layer under the given production time; according to the predicted void rate, geometric parameters of the erosion holes are further deduced, a gravel layer structure instability evaluation method is provided, the instability critical condition and the safety coefficient of the gravel layer structure instability evaluation method are judged, and quantitative analysis and instability risk grading judgment of the stability of the annular gravel layer are achieved.

The invention discloses an arid region soil wind erosion prevention and control vegetation optimal configuration system, and relates to the technical field of arid region ecological restoration and soil wind erosion prevention and control. The system comprises the following components: a plant organ wind erosion rate determination module, a vegetation wear resistance database module, a wind erosion strength partitioning module, a vegetation gradient configuration execution module and a dynamic monitoring and feedback module. According to the invention, through the wind erosion and abrasion intensity partitioning module, the wind speed, the sand grain density, the terrain, the altitude and the seasonal dynamic change factors are comprehensively considered, an improved wind erosion intensity index algorithm is adopted, the region is accurately divided into strong, medium and weak abrasion regions, and the accurate partitioning provides a scientific basis for the subsequent vegetation configuration, so that the vegetation configuration can adapt to local conditions, and the vegetation configuration efficiency is improved. The vegetation gradient configuration execution module configures plants with corresponding wear-resistant grades according to regions with different abrasion strengths, and meanwhile, the vegetation gradient configuration execution module reasonably configures single-species or multi-species mixed vegetation based on a wear-resistant matching degree algorithm and a species complementarity algorithm.

The present application provides a kind of wind erosion sand transport rate vegetation correction factor dynamic optimization method, introduce the inherent cementation index of soil inorganic / organic carbon ratio, by quantifying carbon ratio influence coefficient, the inherent influence of soil carbon component structure on soil aggregate stability, sand critical condition is integrated into vegetation correction system, so that vegetation correction process is no longer separated from soil base attribute, substantially improve the physical mechanism rationality of wind erosion model. Meanwhile, through remote sensing per-pixel modeling and multi-factor spatial overlay operation, realize the dynamic adjustment of each pixel vegetation correction factor with the difference of soil carbon structure, vegetation coverage, vegetation type, solve the distortion problem caused by the parameter uniformization and staticization of traditional model.

This application relates to a method, apparatus, and equipment for soil erosion analysis. A pre-set model is trained by comprehensively considering soil erosion driving factor data, spatial structure characteristics, and soil erosion modulus data of the sample area. During training, the spatial autocorrelation of the prediction residuals of the soil erosion prediction model is ensured to meet a pre-set non-significant condition, thereby overcoming the problem of existing machine learning models neglecting spatial characteristics. In the prediction stage, the trained model is used in conjunction with the soil erosion driving factor data and spatial structure characteristics of the target prediction area to obtain accurate soil erosion modulus data, thus obtaining reliable soil erosion analysis information.

The application discloses a dangerous rock mass deterioration multifunctional test device and method, and through the setting of a self-weight stress loading frame and a detachable rock deterioration experiment cabin, deep coupling of mechanical load and environmental erosion is realized, technical defects of mutual disconnection of a stress field and an environmental field in traditional tests are solved from the root, the whole process of rock samples from deterioration evolution to final mechanical failure does not need to experience secondary transportation and repeated installation, a crack initiation and evolution mechanism under the guidance of a stress field is effectively restored, and therefore, the accuracy of experimental data in characterization of real damage laws of dangerous rock mass is remarkably improved.