7 results about "Slope length" patented technology

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 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.

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.

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.

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 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.