22 results about "Slope length" patented technology

The invention discloses a slope soil erosion prediction method, system, equipment and medium, and relates to the technical field of soil erosion, and the method comprises the following steps: taking slope soil with different grain composition as a research object, and carrying out a rainfall simulation experiment; constructing a production and construction project soil erosion prediction model according to the product of a subrainfall erosivity factor, a soil erodibility factor, a slope length factor, a slope factor and a slope surface area on the basis of the grain composition characteristic particle size; and predicting the soil erosion of the slope surface of the to-be-predicted production and construction project through the production and construction project soil erosion prediction model. According to the model disclosed by the invention, a direct quantitative relationship between the characteristic particle size and the erosion strength is established, so that an acquisition way of the soil erodibility factor is simplified, the dependence of the model on complex and expensive soil physical and chemical parameter analysis is greatly reduced, and the operability and the popularization efficiency of the model in a production field are greatly enhanced.

The invention discloses a quantitative calculation method of a soil erosion modulus background value, which comprises the following steps: S1, grading a rainfall erosion force factor and a soil erodibility factor in soil erosion factors according to unsupervised classification, and generating a contour map, S2, carrying out drainage basin analysis through DEM, calculating a slope length factor and a slope factor mean value according to a small drainage basin boundary, and calculating the background value of the soil erosion modulus according to the slope length factor and the slope factor mean value. S3, vegetation coverage and biological measure factors are measured and calculated according to a table look-up method and a linear interpolation method according to field investigation, and S4, water and soil conservation engineering measure factors and cultivation measure factors are measured and calculated according to land utilization, vegetation coverage and water and soil conservation measures of the field investigation and an assignment method. Corresponding soil erosion factor values can be rapidly matched according to areas where projects are located, adaptability is wide, and soil erosion modulus background values can be measured and calculated at any time according to conditions such as different areas and project types.

This invention discloses an artificial intelligence-based method for monitoring soil erosion risk. To address the problems of untimely identification of soil erosion risk, difficulty in quantifying disturbance information, and insufficient early warning accuracy within the responsibility area of ​​production and construction projects, this invention acquires high-resolution remote sensing images and divides the responsibility areas into prevention and control units. It utilizes a disturbance identification model to identify pixel-level engineering disturbances and extract disturbance features such as disturbance area ratio, disturbance morphology, and spatial relationship between disturbances and drainage channels. Combining rainfall, topography, soil, vegetation, and soil and water conservation measures data, it calculates key factors such as rainfall erosivity, vegetation cover management, slope length and gradient, soil erodibility, and measure factors. These factors are then substituted into a modified general soil loss equation to obtain baseline soil erosion. The baseline soil erosion, disturbance features, key factors, and rainfall forecast are input into a deep residual network model to obtain target soil erosion risk indicators. Finally, based on risk classification thresholds, the risk level of each prevention and control responsibility unit is output, achieving the technical effect of unit-scale soil erosion risk monitoring and early warning.

The invention discloses a tectonic stress factor-based landslide risk prediction method suitable for Sichuan-Tibet regions, and belongs to the technical field of geological disaster prevention and control. The method aims at solving the problem that traditional landslide prediction under strong tectonic stress and complex terrain in the Sichuan-Tibet region is insufficient in accuracy, and comprises the steps that data are collected and processed into DEM raster data, the DEM raster data are converted into point Shapefile data, and terrain point plane coordinates and elevation values are extracted to form a terrain dot matrix associated with global coordinates; calculating the slope length and gradient of the topographic point and the landslide center point, the tectonic stress of the topographic point and the topographic stress, and constructing a tectonic stress magnitude risk factor; determining an area stress field direction in a molecular area and obtaining an included angle of topographic points in a near-far fault area, and constructing a tectonic stress direction risk factor; and calculating the landslide risk of each topographic point, dividing extremely high to extremely low danger areas, and outputting a danger map of the calculation area. The method adapts to Sichuan-Tibet geological features, the prediction accuracy is improved, and a scientific basis is provided for Sichuan-Tibet area landslide prevention and control.

The application provides a soil erosion prediction method, and belongs to the technical field of soil erosion. The method comprises the following steps: obtaining a target data set corresponding to each grid, obtaining a rainfall erosion force factor, a soil erosion factor, a slope length and slope gradient factor, a vegetation coverage factor and a water and soil conservation factor of each grid based on the target data set; calculating the soil erosion amount of each grid by using a RUSLE model based on the above factors; correcting the soil erosion amount of each grid in two adjacent grids based on the geological features and environmental features between the two adjacent grids to obtain the corrected soil erosion amount of each grid; obtaining the predicted soil erosion amount of each grid based on the corrected soil erosion amount of each grid and the soil erosion amount in each period in history; and obtaining the predicted soil erosion amount of a target region based on the predicted soil erosion amount of each grid. The application can improve the prediction accuracy of the soil erosion amount in the target region.

The application discloses a full-slope erosion and sediment transport simulation method combining soil properties and land use, collects corresponding erosion and sediment transport basic data of full slopes of beam and valley slopes in a basin, including soil data, terrain data, land use data, vegetation data and water and sediment data; based on the erosion and sediment transport basic data, terrain conditions and land use type boundary conditions, the erosion environment type of the full slope is automatically distinguished, and the initial to-be-optimized parameters affecting the erosion are obtained based on the erosion environment type; the initial to-be-optimized parameters are updated based on the cuckoo search algorithm until the optimal parameters are obtained; the slope combination and slope length in the terrain conditions and the land use type and vegetation coverage combination in the land use type boundary conditions are changed, a plurality of different scenes are obtained, the full-slope sediment production and transport evolution process is simulated based on the different scenes and the optimal parameters, and the slope sediment transport rate under different conditions is obtained.

This invention relates to the field of ecological restoration technology, and in particular to a method for constructing a stepped slag retaining wall with vegetation habitat on a dipping slope in a mine. The method includes the following steps: investigating the attitude of the dipping slope strata, potential sliding surfaces, rock texture, strata thickness, slope length, and the integrity of the rock mass at the slope's surface, and adjusting the slag retaining wall construction plan based on the investigation results; slope pretreatment; setting up the slag retaining wall along the rock strata's direction; after the slag retaining wall is shaped, mixing plant seeds with a planting substrate and sowing them onto the surface of the slag retaining wall and in shallow trenches to construct a seed layer; and watering the rock surface for maintenance after the seed layer and the dipping slope slag retaining wall are constructed. This invention provides a systematic, long-term, ecological, and economical method for vegetation restoration, specifically addressing the unique geological conditions of dipping slopes prone to landslides (less than 65°). By constructing stepped slag retaining walls and employing gentle disturbance engineering measures, it achieves slope stability, drainage interception, water conservation, improvement of waste gravel soil, and vegetation restoration.

The present application provides a kind of coal mining subsidence area slope soil erosion intensity evaluation method, device, equipment and medium, belong to soil monitoring field, the method includes: obtaining coal seam goaf parameter;And the maximum subsidence value of corresponding subsidence area of coal seam goaf is calculated by pre-constructed elastic foundation beam model;Further, the subsidence value function is constructed by probability integration method, and the subsidence value function is derived to calculate the slope distribution of subsidence area slope;Based on slope distribution and subsidence area boundary, the slope length of subsidence area is obtained by curve fitting and integral calculation;Based on the slope area water depth, the density of water, the acceleration of gravity and the slope distribution, the slope length of subsidence area is integrated, and the slope water flow comprehensive shear stress is obtained;Based on the slope water flow comprehensive shear stress and the pre-determined soil parameters, the soil erosion rate of subsidence area slope is obtained;Further, the soil erosion intensity of subsidence area slope is evaluated, and the problem of inaccurate evaluation of soil erosion of coal mining subsidence area slope is solved.

The invention provides a soil erosion information management method and system, and relates to the technical field of soil erosion, and the method comprises the steps: firstly, arranging standard runoff plots with different gradients and unified slope length and tillage mode in a monitoring area, building a runoff critical relation equation and a runoff depth function, and obtaining localized comprehensive erosion potential parameters; the problems of poor local applicability and large prediction deviation of the model are solved; secondly, performing deviation correction on the forecast data, fusing the corrected forecast data with observation interpolation data to generate high-precision day-by-day meteorological data, and calculating a soil erosion intensity index to lay a data foundation for day-by-day dynamic simulation and early warning; and finally, according to a hydrological confluence unit of the natural slope, performing spatial superposition summation on erosion amounts of all catchment channels in the natural slope, and generating slope scale data. And data of all slopes in the area are accumulated to obtain the total area amount, so that the calculation result is more practical.

The application discloses a small watershed water and soil conservation monitoring method, comprising the following steps: based on a plurality of remote sensing images of a small watershed in a period, calculating and obtaining vegetation indexes, slope indexes, slope length indexes and humidity indexes; using a principal component analysis method to analyze the vegetation indexes, the slope indexes, the slope length indexes and the humidity indexes, obtaining a first principal component RSSWCI r ; processing the first principal component RSSWCI r , and obtaining a small watershed water and soil conservation remote sensing index RSSWCI; using the soil flowing out of a camera station in a period and the sum of the small watershed water and soil conservation remote sensing index RSSWCI to calculate and obtain a soil erosion modulus. The application has the advantages of less required measured data, low monitoring cost, fast realization of small watershed soil erosion monitoring and evaluation, time and space distribution of soil erosion results, convenience, high economic benefits, and overcoming of the defects of high cost, complicated operation, slow response and inflexibility of traditional small watershed water and soil loss monitoring methods.

The invention discloses a side slope frost heaving damage treatment method which comprises the following steps: measure I: embedding a plurality of heating pieces in a shallow soil body of a side slope at intervals in an array manner, and roughly extending the heating pieces along the normal direction of a slope surface; the heating piece is connected to a power supply for storing power by the solar panel; a temperature sensor is embedded in a shallow soil body of the side slope; and the controller is connected to the power supply and the temperature sensor, and is configured to send an instruction to the power supply to supply power to the heating element when the temperature sensor detects that the temperature of the soil body is reduced to a warning temperature within 0-3 DEG C, so that the heating element heats the shallow soil body of the slope. The second measure is that a plurality of drainage holes are formed in the bottom area of the side slope in the slope length direction at intervals; the drainage holes incline upwards and extend into a soil body of the side slope, and inner side orifices of the drainage holes extend into an infiltration interface of underground water; water converges into a drainage ditch arranged along the edge of the bottom of the slope from an outer hole opening of the drainage hole. According to the method, the slope frost heaving phenomenon can be treated more economically and efficiently.

The invention discloses a soil erosion simulation test device based on virtual slope length, and belongs to the technical field of soil erosion simulation. The device comprises a virtual slope length regulation and control system and an automatic sampling system, the virtual slope length regulation and control system comprises an overflow box arranged at the top end of a runoff groove body, a tipping bucket type rain gauge and an integrated control center, a slope adjusting support is arranged at the bottom of the runoff groove, a hydraulic lifting rod is arranged at the tail end of the slope adjusting support, and a water inlet is formed in the top of the overflow box. The water inlet is connected with a water pump, the water inlet amount is controlled through an electromagnetic valve, and the runoff groove is provided with an automatic monitoring structure. The dynamic overflow box is introduced to simulate soil erosion under different slope length conditions, meanwhile, the automatic sampling system is integrated to achieve continuous sampling, the limitation that a traditional device cannot dynamically simulate continuous slope length changes due to site space and cost restrictions and manual sampling efficiency is low is broken through, and the device can be popularized and used within a certain range.

The invention provides a coal mining subsidence area slope erosion intensity prediction method under freezing and thawing conditions, and belongs to the field of soil erosion prediction.The method comprises the steps that initial data of a coal mining area to be predicted are obtained, and the initial slope shape after subsidence is calculated; simulating dynamic changes of the soil temperature, the volume ice content and the water content along with time, and calculating a dynamic soil erodibility factor under the freezing and thawing action based on the freezing and thawing cycle times and the initial water content of the soil; calculating the runoff depth and the unit width flow based on the gradient and the slope length of the sunken slope surface, the dynamic soil erodibility factor and rainfall data; based on the dynamic soil erodibility factor, the runoff depth and the unit width flow, the soil critical anti-shearing force influenced by the volume ice content is introduced, and the slope soil erosion intensity is calculated. Therefore, the influence of natural excursion force and human activities is organically fused, various key factors of the special area are fully considered, and the blank of the method for predicting the slope scale soil erosion intensity of the special area is filled.

This invention relates to the field of environmental assessment technology, and provides a method, system, medium, and equipment for attributing soil erosion in plateau areas. The method includes: calculating the soil erosion rate of each computational unit within the study area based on multi-source geospatial data and using a soil erosion model; the soil erosion rate is the product of rainfall erosivity, soil erodibility, slope length and gradient, vegetation cover management, and soil and water conservation measures; using rainfall erosivity, soil erodibility, slope length and gradient, vegetation cover management, and / or soil and water conservation measures as key driving factors, and employing the logarithmic mean División index method to calculate the degree of control of these key driving factors on changes in the soil erosion rate; wherein, the degree of control is assigned a weighting coefficient for each computational unit during the calculation process, and the weighting coefficient is constructed based on the difference between each computational unit and a preset benchmark area. This method can accurately separate the independent contributions of each factor to erosion changes.

The application provides a kind of irrigation pipeline system layout method based on slope terrain, it is related to irrigation engineering technical field, the method of the application includes, the slope and slope length information of target side slope are acquired;According to the slope and slope length information, the site type of target side slope is determined based on the preset classification rule;According to the determined site type, the pipe layout mode suitable for target side slope is matched, and the pipe diameter parameter under the pipe layout mode is calculated and determined according to the irrigation water demand of target side slope, to form initial system layout scheme;According to initial system layout scheme, simulation based on multi-physical field coupling model is carried out, to verify the head loss condition under initial system layout scheme, based on the verification result, initial system layout scheme is adjusted, and the final system layout scheme for target side slope is generated.The application of the technical scheme of the application is beneficial to the smooth implementation of ecological restoration and vegetation restoration engineering.

This invention discloses an automatic method for generating the most unfavorable profile of a slope at risk of clustered shallow soil landslides, belonging to the field of geological disaster monitoring and safety early warning technology. This invention automatically extracts multi-dimensional terrain feature parameters along each extension line, including slope length, elevation difference, average slope, steepest slope near the slope, slope-wall distance, and cumulative length of steep slopes. Based on preset multi-parameter combination judgment rules, the risk level of each extension line is automatically determined. For each building, from its highest risk level lines, innovative rules such as a comprehensive slope aspect angle based on slope weighting are used to intelligently select a unique and most representative most unfavorable profile line. This invention achieves full-process automation from risk zone identification to the quantification and visualization of specific threat paths, possessing the advantages of high efficiency, accuracy, and batch processing capability, providing key technical support for early identification, investigation and evaluation, and monitoring and early warning of landslide disasters.

The present application relates to the technical field of water and soil conservation, and particularly relates to a soil water erosion conservation amount monitoring method, system and electronic device, the method comprising: calculating an actual water erosion modulus of a preset area according to a rainfall erosion factor, a soil erodibility factor, a slope factor, a slope length factor, a vegetation coverage factor and a water and soil conservation factor of the preset area; calculating a maximum water erosion modulus of the preset area according to a preset maximum vegetation coverage factor, the rainfall erosion factor, the soil erodibility factor, the slope factor, the slope length factor and the water and soil conservation factor of the preset area; and then calculating a soil water erosion conservation amount of the preset area. On the one hand, the method is applicable to small-scale and occasional soil water erosion conservation amounts, and on the other hand, the method can meet the monitoring of soil water erosion conservation amounts of large areas by using a UAV, and in particular, the method can conveniently and quickly monitor water and soil loss events in remote areas, thereby avoiding manual monitoring and improving efficiency.

The invention provides a coal mining subsidence area slope soil erosion intensity evaluation method, device and equipment and a medium, and belongs to the field of soil monitoring. The method comprises the steps that coal seam goaf parameters are obtained; the maximum subsidence value of a subsidence area corresponding to the coal seam goaf is calculated through a pre-constructed elastic foundation beam model; further constructing a subsidence value function through a probability integral method, and performing derivation on the subsidence value function to calculate gradient distribution of the subsidence area slope; based on the gradient distribution and the subsidence area boundary, the subsidence area slope length is obtained through curve fitting and integral calculation; based on the slope surface accumulated water depth, the water density, the gravitational acceleration and the gradient distribution, the slope length of the subsidence area is integrated, and slope surface water flow comprehensive shear stress is obtained; obtaining the soil erosion rate of the subsidence area slope based on the slope water flow comprehensive shear stress and predetermined soil parameters; the soil erosion intensity of the subsidence area slope is further evaluated, and the problem that the soil erosion of the coal mining subsidence area slope is not accurately evaluated is solved.

This invention discloses a method for synergistic regulation of slope erosion reduction and soil conservation micro-topography and surface runoff, relating to the fields of land consolidation and soil and water conservation. By introducing a graded processing of the slope gully erosion risk index and mapping it to a risk response intensity coefficient, and then dynamically generating corresponding recommended terrace spacing based on the critical slope length for different slope grades, a spacing design method that links spatial location perception with risk level is formed. This design overcomes the deficiency of traditional terrace settings where spacing is uniform and not differentiated by region. It can automatically adjust the terrace spacing according to different erosion intensity areas, reducing the erosion probability of high-risk slope sections while avoiding redundant operation costs on low-risk slope sections. A linkage mechanism between slope flow dispersion and adjustment coefficient is constructed to achieve dynamic correction of the recommended terrace spacing Dter. This mechanism further determines whether there is accumulation or splitting of water flow by identifying the degree of concentration or dispersion of slope runoff direction.

The invention discloses a method for renovating the slope surface of a side slope of a stone waste slag field. The method comprises the following steps: (1) pretreating the surface of the stone waste slag field; (2) carrying out longitudinal and transverse partitioning according to the slope length; (3) mixing a small part of stripped surface soil with deep stripped clay or loess, and then mixing 1 cubic meter of surface soil with 5 cubic meter of deep clay or loess; (4) after mixing, mixing the dry soil with the wheat straw or hulless oat straw, and uniformly mixing; (5) adding water into the mixture of the straws and the dry soil, and uniformly stirring the soil, the straws and the water to be muddy; (6) uniformly smearing the mixed mud on the surface of the stone slag field from top to bottom in the plots divided well, and building a surrounding ridge at the boundaries of the plots by using the mud and block stones; and (7) after the mud is dried, backfilling surface soil into the plot coated with the mud, and carrying out vegetation recovery after the surface soil is covered. According to the method, the surface soil covering of the waste slag field can be safe and stable, and conditions are created for later vegetation recovery.

The invention relates to the field of non-point source phosphorus pollution prediction, in particular to a non-point source phosphorus pollution prediction method based on a small watershed in a mountainous area. The scheme comprises the following steps: collecting basic geographic data, meteorological data and hydrology and water quality data of a small watershed of a target mountainous area, and performing watershed division and water system generation by using a digital elevation model; based on unmanned aerial vehicle multispectral soil key parameter inversion, a rainfall erosion force factor, a soil erodibility factor, a slope length factor, a vegetation coverage and management factor and a water and soil conservation measure factor are calculated by utilizing unmanned aerial vehicle remote sensing data, and the factors are multiplied to generate a watershed high-resolution soil erosion intensity distribution diagram. Meanwhile, a soil total phosphorus distribution diagram is generated, and an improved SWAT model is constructed; carrying out pollution load spatialization of Kriging interpolation on the basis of an improved SWAT model of completion calibration and verification; and finally, predicting the non-point source phosphorus pollution load in a future set scene. The method is suitable for non-point source phosphorus pollution prediction of the small watershed in the mountainous area.