Calculation method and system for determining movement accumulation morphological parameters of rock slide slope

Abstract

The invention relates to the technical field of rock-soil detection, in particular to a calculation method and system for determining movement accumulation morphological parameters of a rock slide slope, and the method comprises the following steps: obtaining a rock slide slope sample and geological environment information of the rock slide slope sample, and carrying out a particle analysis test on the sample to obtain particle gradation information of the rock slide slope sample; based on geological environment information and grain composition information, constructing an assessment factor system of the movement accumulation of the rock slide slope; establishing an evaluation factor calculation model of the rock sliding slope movement accumulation to analyze the evaluation factor system, and obtaining an evaluation factor calculation result of the evaluation factor system; and constructing a morphological parameter analysis model of the movement accumulation of the rock slide slope according to an evaluation factor calculation result, and realizing calculation and analysis of the movement accumulation form of the rock slide slope through the morphological parameter analysis model. According to the method, morphological parameter analysis is obtained based on the assessment factor system of the rock slide motion accumulation and the morphological parameter calculation method, the calculation efficiency is improved, and meanwhile the accuracy of an analysis result is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of rock and soil detection, and in particular to a calculation method and system for determining movement accumulation morphological parameters of a rock slide. Background Art

[0002] A rubble slope is a gravel slope landform, belonging to the category of granular slope. It is a typical geological disaster developed in the periglacial zone of arid, semi-arid, high-cold and high-altitude areas. Its surface is covered with rock particles with relatively uniform particle sizes, and its height can reach tens or even hundreds of meters. Its shape is like a conical slope or a flat waterfall, winding along the road. The landform characteristics of a rubble slope are mainly steep at the top and gentle at the bottom, and it is linearly distributed along the traffic line in the form of a cone or cylinder. Rubble slopes mainly appear in high mountain and high-cold areas, earthquake-prone areas, and semi-arid and arid areas. They often roll down from the top of the slope, damage the road surface, and encroach on the roadbed. In extreme cases, rubble slopes can even completely block the road, causing traffic interruptions and serious traffic accidents.

[0003] However, there is a lack of research on the movement and deposition morphology of rock slides, and the understanding of its movement laws and deposition characteristics is very limited, which is far from meeting the actual needs of engineering construction and disaster prevention and control. Therefore, in-depth research on the movement and deposition morphology of rock slides is necessary, which is of great significance for improving disaster prevention and mitigation capabilities, ensuring traffic safety and promoting sustainable development. Summary of the invention

[0004] In view of the defects of the existing methods and the shortcomings of practical applications, a method for determining the movement and accumulation morphology of a tumblestone slope is proposed, which can quickly and accurately grasp the movement and accumulation morphological parameters of the tumblestone slope, laying the foundation for formulating disaster prevention and mitigation measures and environmental protection strategies. Based on this, not only can the engineering cost be reduced, but also the work efficiency can be improved, providing technical support for practical work in related fields. In the first aspect, the present invention provides a calculation method for determining the movement and accumulation morphological parameters of a tumblestone slope, the method comprising the following steps: obtaining a tumblestone slope sample and the geological environment information of the tumblestone slope sample, performing a particle analysis test on the tumblestone slope sample to obtain the particle grading information of the tumblestone slope sample; constructing an evaluation factor system for the movement and accumulation of a tumblestone slope based on the geological environment information and the particle grading information; establishing an evaluation factor calculation model for the movement and accumulation of a tumblestone slope, using the evaluation factor calculation model to analyze the evaluation factor system, and obtaining the evaluation factor calculation results of the evaluation factor system; constructing a morphological parameter analysis model for the movement and accumulation of a tumblestone slope based on the evaluation factor calculation results, and realizing the calculation and analysis of the movement and accumulation morphology of a tumblestone slope through the morphological parameter analysis model for the movement and accumulation of a tumblestone slope. The present invention establishes an evaluation factor calculation model using mathematical, physical or numerical simulation methods, and conducts quantitative analysis on the evaluation factor system, which has practical application value in determining the morphological parameters of the moving accumulation of a rock slide. It can not only improve the accuracy of the calculation results and reduce the economic cost, but also provide technical support for disaster prevention and mitigation, traffic safety and environmental protection.

[0005] Optionally, the evaluation factor system for the movement and accumulation of rubble slopes constructed based on the geological environment information and the particle grading information includes: selecting evaluation factors for the movement and accumulation of rubble slopes according to the geological environment information and the particle grading information, wherein the evaluation factors for the movement and accumulation of rubble slopes include the content of particle sizes of 10 to 40 mm in the particle grading of rubble slopes, the content ratio of particle sizes of 10 to 20 mm and 20 to 40 mm in the particle grading of rubble slopes, the content ratio of particle sizes of less than 10 mm and greater than 40 mm in the particle grading of rubble slopes, the terrain slope of the slippery movement area of ​​rubble slopes, the terrain slope of the rubble slope accumulation area, and the quality of potential sources of rubble slope disasters in the rubble slope source area. The present invention comprehensively considers geological environment information, particle grading information, and key evaluation factors to establish a more complete evaluation system, thereby improving the accuracy and feasibility of the prediction results of the movement and accumulation morphology of rubble slopes.

[0006] Optionally, the evaluation factor system for the movement and accumulation of the tumble slope based on the geological environment information and the particle grading information includes: constructing and obtaining the evaluation factor system for the movement and accumulation of the tumble slope based on the content of particle sizes of 10 to 40 mm in the particle grading of the tumble slope, the content ratio of particle sizes of 10 to 20 mm to 20 to 40 mm in the particle grading of the tumble slope, the content ratio of particle sizes less than 10 mm to greater than 40 mm in the particle grading of the tumble slope, the terrain slope of the tumble slope slippery movement area, the terrain slope of the tumble slope accumulation area, and the quality of potential sources of the tumble slope source area that cause tumble slope disasters. The present invention constructs an evaluation factor system based on key information such as the particle grading of the tumble slope, the terrain slope, and the quality of potential sources, which can improve prediction accuracy, optimize prevention and control measures, and promote scientific research and technological innovation.

[0007] Optionally, the establishment of the evaluation factor calculation model of the movement and accumulation of the tumble slope includes: setting a determination function of the particle gradation content of the tumble slope, a determination function of the terrain slope of the tumble movement area, a determination function of the terrain slope of the accumulation area, and a determination function of the quality of the potential material source; combining the particle gradation content determination function of the tumble slope, the terrain slope determination function of the tumble movement area, the terrain slope determination function of the accumulation area, and the quality determination function of the potential material source to obtain the evaluation factor calculation model of the movement and accumulation of the tumble slope. The present invention sets a specific determination function, systematizes and standardizes the calculation process of the evaluation factor, and further ensures the consistency and repeatability of the evaluation process.

[0008] Optionally, the gradation content determination function of the slitting stone slope satisfies the following relationship:

[0009] in, represents the i-th particle size distribution content of the slickrock slope, represents the quality of the i-th particle size distribution of the rubble slope, represents the total mass of the rock slide sample; The slope determination function of the slippery motion area terrain satisfies the following relationship:

[0010] in, Indicates the terrain slope of the rock slide area. Indicates the vertical height of the sliding area of ​​the rock slide. Indicates the horizontal distance of the sliding movement area of ​​the rock slide; The function for determining the terrain slope of the accumulation area satisfies the following relationship:

[0011] in, Indicates the terrain slope of the rock slide accumulation area, Indicates the vertical height of the rock slide accumulation area. Indicates the horizontal distance of the rock slide accumulation area; The potential source quality determination function satisfies the following relationship:

[0012] in, represents the potential source quality of the slitting slope source area that causes the slitting slope disaster, 2900 represents the average density of the source in the slitting slope source area, It represents the area of ​​strong and moderate weathering in the source area of ​​the sloping slope. Indicates the thickness of the strata in the strong to moderate weathering area of ​​the Liushipo source area.

[0013] The present invention calculates the values ​​of key evaluation factors such as the particle gradation content of the rubble slope, the terrain slope and the quality of potential material sources through mathematical formulas, so that the evaluation results are more objective and reliable.

[0014] Optionally, the use of the evaluation factor calculation model to analyze the evaluation factor system includes: obtaining the content of particle sizes of 10-40 mm in the gliding stone slope particle grading, the content ratio of particle sizes of 10-20 mm to 20-40 mm in the gliding stone slope particle grading, and the content ratio of particle sizes less than 10 mm to greater than 40 mm in the gliding stone slope particle grading through the gliding stone slope particle grading content determination function; obtaining the terrain slope of the gliding stone slope slippery movement area using the slippery movement area terrain slope determination function; obtaining the terrain slope of the gliding stone slope accumulation area based on the accumulation area terrain slope determination function; and obtaining the potential source quality of the gliding stone slope source area that causes the gliding stone slope disaster based on the potential source quality determination function. The evaluation factor calculation model of the present invention provides a unified calculation method for each evaluation factor, ensuring the consistency and comparability of the evaluation results.

[0015] Optionally, constructing a morphological parameter analysis model of the movement and accumulation of a rock slide slope according to the calculation results of the evaluation factors includes: the morphological parameter analysis model of the movement and accumulation of a rock slide slope satisfies the following relationship:

[0016] in, Indicates the maximum accumulation length of the rock slide. Indicates the maximum accumulation width of the gravel slope, Indicates the maximum accumulation height of the stone slope, It indicates the content of particle size of 10~40mm in the grading of Liushipo particles. It indicates the content ratio of 10~20mm to 20~40mm in the particle size distribution of the slippery slope. It indicates the content ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm in the grading of the slitting slope particles. Indicates the terrain slope of the rock slide area. Indicates the terrain slope of the rock slide accumulation area, It indicates the potential source quality of the rock slide source area that causes rock slide disasters.

[0017] The present invention predicts the maximum length, width and height of the movement accumulation of the rock slide through the morphological parameter analysis model, which is of great significance for assessing the impact range of the disaster and formulating prevention and control measures.

[0018] Optionally, the morphological parameter analysis model of the movement and accumulation of the stone slope is constructed based on the calculation results of the evaluation factors, and the calculation and analysis of the movement and accumulation morphology of the stone slope is realized through the morphological parameter analysis model of the movement and accumulation of the stone slope, including: quantitative change analysis of different morphological parameters based on the morphological parameter analysis model of the movement and accumulation of the stone slope, so as to obtain quantitative change analysis results of different morphological parameters. The morphological parameter analysis model of the present invention can also be combined with real-time monitoring data to dynamically monitor the movement and accumulation morphology of the stone slope, which is helpful to timely discover potential disaster risks, take preventive measures in advance, and reduce disaster losses.

[0019] Optionally, the morphological parameter analysis model based on the movement and accumulation of the stone slope performs quantitative change analysis on different morphological parameters to obtain quantitative change analysis results of different morphological parameters, including: performing quantitative change analysis on different morphological parameters based on the morphological parameter analysis model of the movement and accumulation of the stone slope and obtaining a quantitative change analysis formula for morphological parameters, wherein the quantitative change analysis formula for morphological parameters includes a maximum accumulation length calculation formula, a maximum accumulation width calculation formula and a maximum accumulation height calculation formula; The maximum stacking length calculation formula satisfies the following relationship:

[0020] The maximum stacking width calculation formula satisfies the following relationship:

[0021] The maximum stacking height calculation formula satisfies the following relationship:

[0022] in, Indicates the maximum accumulation length of the rock slide. Indicates the maximum accumulation width of the gravel slope, Indicates the maximum accumulation height of the stone slope, It indicates the content of particle size of 10~40mm in the grading of Liushipo particles. It indicates the content ratio of 10~20mm to 20~40mm in the particle size distribution of the slippery slope. It indicates the content ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm in the grading of the slitting slope particles. Indicates the terrain slope of the rock slide area. Indicates the terrain slope of the rock slide accumulation area, It indicates the potential source quality of the rock slide source area that causes rock slide disasters.

[0023] The invention predicts the maximum accumulation length, width and height of a rock slide based on given evaluation factors, improves the accuracy and reliability of the prediction results, and provides a reference for disaster risk assessment and prevention and control measure design.

[0024] In the second aspect, the present invention also provides a computing system for determining the morphological parameters of the movement and accumulation of a tumble stone slope, which can efficiently execute a computing method for determining the morphological parameters of the movement and accumulation of a tumble stone slope provided by the present invention, wherein the system includes an input device, a processor, an output device, and a memory, wherein the input device, the processor, the output device, and the memory are interconnected, the memory includes a computer-readable storage medium as described in the first aspect of the present invention, the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions. The computing system for determining the morphological parameters of the movement and accumulation of a tumble stone slope provided by the present invention has a compact structure, strong applicability, and greatly improves the operating efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 The flowchart of the calculation method for determining the morphological parameters of the rock slide movement accumulation of the present invention; Figure 2 The figure is a schematic diagram of the structure of the computing system for determining the morphological parameters of the movement and accumulation of a rock slide according to the present invention. DETAILED DESCRIPTION

[0026] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0027] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0028] See also Figure 1 In order to simplify the process of determining the motion accumulation morphological parameters of a tumble stone slope, save engineering costs and improve work efficiency, the method of the present invention can quickly determine the motion accumulation morphological parameters of a tumble stone slope and related information, provide support for the study of the motion accumulation morphology of a tumble stone slope, and thus effectively improve the pertinence and effectiveness of disaster prevention and mitigation measures. The present invention provides a calculation method for determining the motion accumulation morphological parameters of a tumble stone slope, and the above-mentioned calculation method for determining the motion accumulation morphological parameters of a tumble stone slope comprises the following steps: S1. Obtain the geological environment information of the gliding stone slope sample and the gliding stone slope sample, and conduct a particle analysis test on the gliding stone slope sample to obtain the particle gradation information of the gliding stone slope sample. The implementation steps and specific contents are as follows: 1. Obtaining samples of rock slides According to the geological survey data and the research objectives of the lithospheric slope movement and deposition morphology, representative lithospheric slope areas were selected as sampling sites, and factors such as geographical location, climatic conditions, and geological structure were considered to ensure that the sampling sites could reflect the overall characteristics of the lithospheric slope. After the sampling points were determined, sampling was carried out according to the predetermined depth and range. During the sample collection process, the integrity and representativeness of the samples needed to be maintained to avoid excessive disturbance or destruction of the lithospheric slope sample structure.

[0029] 2. Obtaining geological environment information of rock slide samples This embodiment conducts a detailed on-site survey of the sampling site, records the geological structure, topography, vegetation coverage and other information, observes the morphology, slope, thickness and other characteristics of the tumble stone slope, as well as the type and distribution of surrounding rocks and soil, and can also consult relevant geological survey reports and literature to understand the geological background and history of the sampling site. On the other hand, it is necessary to collect meteorological, hydrological and other environmental data of the sampling site, which is helpful to further analyze the influence of the geological environment on the formation and evolution of the tumble stone slope. Finally, the on-site survey and the collected geological data are comprehensively analyzed to obtain the geological environment information of the tumble stone slope samples, including but not limited to data such as geology, lithology, structural characteristics, climatic conditions, and the possible influence of related factors on the particle grading of the tumble stone slope.

[0030] 3. Conduct particle analysis tests on rock slide samples to obtain particle grading information Test equipment preparation stage: It is necessary to prepare test equipment for particle grading analysis, such as sieving instruments, balances, ovens, etc., to further ensure the accuracy and reliability of the test equipment, as well as the stability and suitability of the test environment.

[0031] Sample processing stage: The collected slickrock samples are dried to remove moisture and impurities. The samples can also be crushed or ground to obtain a suitable particle size range.

[0032] Screening test stage: Use a sieving instrument to screen the processed samples and divide the samples into different levels according to the particle size. At the same time, it is necessary to record the mass and quantity of particles at each level to calculate the particle grading curve. Then, integrate and analyze the relevant test data to obtain the particle grading information of the slitting slope samples, including but not limited to the average particle size, particle size distribution range, and the proportion of particles of different sizes.

[0033] In addition, the test results can be compared and analyzed with the geological environment information to verify the rationality and accuracy of the test data, and necessary corrections and adjustments can be made as needed to improve the reliability and accuracy of the particle grading information of the rubble slope samples.

[0034] Through the above steps, the rock slope samples and their geological environment information can be systematically obtained, and the particle gradation information can be obtained through the particle analysis test, providing reliable data support for subsequent research and analysis. Furthermore, the method for obtaining the information related to the rock slope in this embodiment is only an optional condition of the present invention. In one or some other embodiments, the method for obtaining the information related to the rock slope can be optimized and replaced according to the actual situation of the rock slope collection area and the test information collection requirements of the rock slope samples, so that the present invention can be applied to different rock slope disaster prediction and prevention work, further improving the practical utilization value of the method of the present invention.

[0035] S2. Construct an evaluation factor system for the movement and accumulation of rock slides based on geological environment information and particle grading information. The specific steps and implementation contents are as follows: In an optional embodiment, the assessment factors of the movement and accumulation of the tumble stone slope are screened out according to the geological environment information and the particle grading information. In the embodiment, the assessment factors of the movement and accumulation of the tumble stone slope mainly include the content of the particle size of 10-40 mm in the tumble stone slope particle grading, the content ratio of the particle size of 10-20 mm to 20-40 mm in the tumble stone slope particle grading, the content ratio of the particle size less than 10 mm to greater than 40 mm in the tumble stone slope particle grading, the terrain slope of the tumble stone slope slippery movement area, the terrain slope of the tumble stone slope accumulation area and the potential source quality of the tumble stone slope disaster caused by the tumble stone slope source area, and the specific contents are as follows: Based on the geological environment information and particle grading information, the key factors affecting the movement and accumulation of the rock slide were screened out, that is, the evaluation factors of the movement and accumulation of the rock slide were screened out.

[0036] Based on the above geological environment information and particle grading information, the particle grading characteristics of the tumble slope can be comprehensively analyzed. On this basis, special attention is paid to several key particle size intervals in the particle grading of the tumble slope: the content of particles between 10 and 40 mm, the content ratio of particles between 10 and 20 mm and between 20 and 40 mm, and the content ratio of particles less than 10 mm and greater than 40 mm. The above key particle size interval information is incorporated into the evaluation factor system of the movement and accumulation of the tumble slope, which becomes part of the basis for evaluating the movement characteristics and accumulation pattern of the tumble slope.

[0037] That is, the embodiment carefully analyzes the distribution of gravel slope particles in different particle size ranges, and uses the relevant distribution characteristics as important indicators for evaluating the movement and accumulation behavior of the gravel slope, especially the particle content in the particle size range of 10 to 40 mm, and the proportional relationship between smaller and larger particle sizes, which together constitute important evaluation parameters for evaluating the stability of the gravel slope and the potential disaster risk.

[0038] The terrain slope data of the gliding slope samples were obtained by analyzing the geological environment information. In this process, the terrain slopes of the sliding movement area and the accumulation area of ​​the gliding slope were measured using remote sensing image analysis technology. The above data were incorporated into the gliding slope movement and accumulation assessment system, which helped to gain a deeper understanding of the movement mechanism and accumulation characteristics of the gliding slope.

[0039] Furthermore, by integrating remote sensing image data in geological environment information and combining image analysis methods, the potential source quality of the catastrophic rock slide event that may be induced is estimated. The above estimation result, as one of the evaluation factors, is conducive to a comprehensive assessment of the potential risk of rock slide disasters and provides data support for the formulation of targeted prevention and control measures. The above process not only reflects the effective combination of geological environment information and remote sensing technology, but also reflects the application prospects of the method of the present invention in the field of geological disaster assessment and prevention.

[0040] In summary, in this embodiment, based on geological environment information, particle grading information and a variety of technical means, the key evaluation factors affecting the movement and accumulation of rock slides were successfully screened and determined, laying a solid foundation for subsequent research and prevention work.

[0041] Based on the content of particle sizes of 10-40mm in the particle grading of the gravel slope, the ratio of particle sizes of 10-20mm to 20-40mm in the particle grading of the gravel slope, the ratio of particle sizes less than 10mm to greater than 40mm in the particle grading of the gravel slope, the terrain slope of the slippery movement area of ​​the gravel slope, the terrain slope of the gravel slope accumulation area and the quality of potential source materials in the source area of ​​the gravel slope that lead to gravel slope disasters, a system of evaluation factors for the movement and accumulation of the gravel slope was constructed and obtained.

[0042] When constructing the evaluation system for the movement and accumulation of rock slides, multiple key factors were considered comprehensively. The above evaluation factors not only cover the characteristics of different particle size intervals of the rock slide particle grading, such as the specific content of 10-40mm particles, the proportional relationship between 10-20mm and 20-40mm particles, and the proportional distribution of particles smaller than 10mm and larger than 40mm, but also deeply analyze the terrain conditions of the rock slide, especially the terrain slope information of the sliding movement area and the accumulation area. In addition, special attention is paid to the potential source quality of the rock slide source area, and the relevant data plays an important role in the evaluation and risk prediction of rock slide disasters.

[0043] A comprehensive and detailed evaluation factor system is constructed by integrating the above evaluation factor information. The system can comprehensively reflect the movement and accumulation characteristics of the rock slide and provide strong data support for subsequent risk assessment and disaster prevention work. It is not only conducive to the understanding of the dynamic behavior of the rock slide, but also provides a scientific basis for the formulation of targeted prevention and control measures. The evaluation system for the movement and accumulation of the rock slide in the embodiment is shown in Table 1.

[0044] Table 1 Evaluation factor system of rock slide movement and accumulation

[0045] Based on the information in Table 1, it can be seen that the evaluation factor system for movement and accumulation of rock slides comprehensively considers the characteristics of different particle size intervals of rock slide particle grading, terrain conditions, and potential material quality, ensuring a comprehensive reflection of the movement and accumulation characteristics of the rock slides, which helps to more accurately grasp the dynamic behavior of the rock slides. At the same time, the integration of key evaluation factor information provides strong information support for subsequent risk assessment and disaster prevention and control work, which not only helps to deeply understand the movement mechanism of the rock slides, but also provides a scientific basis for the formulation of targeted prevention and control measures.

[0046] Furthermore, the construction steps and related methods of the evaluation factor system in the present embodiment are merely an optional condition of the present invention. In one or some other embodiments, the construction method of the evaluation factor system may be replaced according to the actual situation of the gravel slope and the information characteristics of the gravel slope. Different gravel slopes have different geographical locations, geological structures, and climatic conditions. Replacing the construction method of the evaluation factor system can ensure that the evaluation system can better adapt to different gravel slope environments, thereby improving the accuracy and effectiveness of the system evaluation results.

[0047] S3. Establish a calculation model for evaluation factors of the movement and accumulation of the rock slide slope, use the above evaluation factor calculation model to analyze the evaluation factor system, and obtain the evaluation factor calculation results of the evaluation factor system. The specific steps and implementation contents are as follows: Firstly, a calculation model for the evaluation factors of movement and accumulation of rock slides was established.

[0048] In this embodiment, a function for determining the particle gradation content of the tumble slope, a function for determining the terrain slope of the slippery movement area, a function for determining the terrain slope of the accumulation area, and a function for determining the quality of the potential material source are set; and a calculation model for the evaluation factor of the tumble slope movement accumulation is obtained by combining the function for determining the particle gradation content of the tumble slope, the function for determining the terrain slope of the slippery movement area, the function for determining the terrain slope of the accumulation area, and the function for determining the quality of the potential material source. The establishment process of the above-mentioned evaluation factor calculation model is realized by defining a series of functions, and the calculation functions of different evaluation factors together constitute the evaluation factor calculation model.

[0049] The proportion calculation method is used to determine the particle grading content of the calcareous slope. That is, the content of different particle gradings is obtained by dividing the mass of different particle gradings by the total mass of the calcareous slope sample. Based on this, the distribution ratio of particles of different particle sizes in the calcareous slope can be intuitively reflected.

[0050] The above-mentioned function for determining the particle grading content of the sluice slope satisfies the following relationship:

[0051] in, represents the i-th particle size distribution content of the slickrock slope, represents the quality of the i-th particle size distribution of the rubble slope, represents the total mass of the rock slide sample; The content of different particle gradations in the rubble slope is a ratio value, which can quantify the proportion of particles of different particle sizes in the overall particle composition of the rubble slope, and help to understand the distribution of particle gradations in the rubble slope and the relative abundance of particles of different particle sizes.

[0052] The quality of different particle gradations in the rubble slope can be obtained through particle analysis tests, that is, during the analysis test of the rubble slope samples, the quality of particles of different particle sizes is separated from the rubble slope samples. The above parameters are the basis for calculating the particle gradation content, which directly reflects the actual number of particles of different particle sizes.

[0053] The total mass of the slitting slope sample refers to the total mass of the slitting slope sample during the analytical test, not the mass specific to the particle grading. Therefore, in the determination function of the particle grading content of the slitting slope, It is a fixed value that represents the quality of the entire rock slide sample.

[0054] The inverse tangent function was used to calculate the terrain slope in the slippery movement area and the accumulation area. The terrain slope in the slippery movement area is determined by the inverse tangent value of the ratio of its vertical height to horizontal distance; while the terrain slope in the accumulation area should be calculated using the vertical height and horizontal distance of the accumulation area itself.

[0055] The above-mentioned function for determining the terrain slope in the slippery motion area satisfies the following relationship:

[0056] in, Indicates the terrain slope of the rock slide area. Indicates the vertical height of the sliding area of ​​the rock slide. Indicates the horizontal distance of the sliding movement area of ​​the rock slide; The terrain slope of the sliding movement area of ​​the rock slide is an angle value, which can be expressed in degrees or radians. It is used to describe the degree of inclination of the surface in the sliding movement area. This slope is one of the important factors affecting the movement characteristics of the rock slide and determines the acceleration and speed of the rock slide sliding down the slope.

[0057] The vertical height of the slippery motion area of ​​the rock slide is the vertical distance from the starting point or a reference point to the end point of the slippery motion area, which reflects the variation range of the slippery motion area in the vertical direction.

[0058] The horizontal distance of the slippery slope slippery movement area is the horizontal projection distance from the starting point to the end point of the slippery movement area, which together with the above-mentioned vertical height determines the inclination degree of the terrain slope.

[0059] The function for determining the terrain slope of the accumulation area satisfies the following relationship:

[0060] in, Indicates the terrain slope of the rock slide accumulation area, Indicates the vertical height of the rock slide accumulation area. Indicates the horizontal distance of the rock slide accumulation area; The topographic slope of the rockfall accumulation area can be used to describe the degree of surface inclination in the accumulation area. The above slope is of great significance for understanding the formation process of the accumulation area, the stability of the accumulation and the potential landslide risk.

[0061] The vertical height of the rock slide accumulation area is the vertical distance from the starting point of the accumulation area or a reference point to the end point. This parameter reflects the variation of the accumulation area in the vertical direction and is closely related to the accumulation mode and stability of the deposits.

[0062] The horizontal distance of the rock slide accumulation area is the horizontal projection distance from the starting point to the end point of the accumulation area. The horizontal distance and the vertical height together determine the inclination degree of the terrain slope of the accumulation area.

[0063] By analyzing the vertical height and horizontal distance between the sliding movement area and the accumulation area, and calculating the terrain slope of different areas based on the inverse tangent function, the terrain characteristic parameters of different areas can be obtained. The relevant parameters are of great reference significance for evaluating the stability of the rock slide slope, predicting potential landslide risks, and formulating prevention and control measures.

[0064] When estimating the quality of potential material sources, the area of ​​strong and moderate weathering in the source area of ​​the rock slide and the thickness of the strata were taken into account. Based on this, the quality of material sources that may cause rock slide disasters can be estimated more accurately.

[0065] The above potential source quality determination function satisfies the following relationship:

[0066] in, represents the potential source quality of the slitting slope source area that causes the slitting slope disaster, 2900 represents the average density of the source in the slitting slope source area, It represents the area of ​​strong and moderate weathering in the source area of ​​the sloping slope. Indicates the thickness of the strata in the strong to moderate weathering area of ​​the Liushipo source area.

[0067] The quality of potential sources in the debris flow slope source area that may cause debris flow slope disasters is crucial to assess the potential scale and impact range of debris flow slope disasters.

[0068] The area of ​​strong to moderate weathering in the Liushipo provenance is the area of ​​the region that has or is experiencing strong weathering in the provenance area, which in turn reflects the spatial distribution range of potential sources and is one of the important factors in estimating the quality of potential sources.

[0069] The stratigraphic thickness of the strongly to moderately weathered area in the Liushipo provenance area is the vertical distance from the surface to the bottom of the weathering layer, which in turn reflects the thickness of the potential source in the vertical direction and is also one of the key factors in estimating the quality of the potential source.

[0070] 2900 is the average density of the source area of ​​the slick slope, which can convert the area and thickness of the strong and moderate weathering area into the potential source mass, mainly based on geological surveys, laboratory tests or historical disaster data.

[0071] Based on the potential source mass determination function, an accurate potential source mass estimation value can be obtained, which has important reference value for predicting the potential scale and impact range of rock slide disasters, formulating prevention and control measures, and evaluating the prevention and control effects.

[0072] Then, the evaluation factor system is analyzed using the evaluation factor calculation model to obtain the evaluation factor calculation results of the evaluation factor system.

[0073] In the embodiment, the constructed evaluation factor calculation model is used to conduct an in-depth analysis of the evaluation factor system, and the calculation results of each evaluation factor are obtained accordingly.

[0074] In terms of particle grading, the proportion of particles with a diameter of 10-40 mm in the Liushipo was calculated using the Liushipo particle grading content determination function. At the same time, the proportion of particles with a diameter between 10-20 mm and 20-40 mm, as well as the proportion of particles with a diameter less than 10 mm and greater than 40 mm were obtained. The relevant information provides a detailed distribution of the Liushipo particle grading. That is, the content of particles with a diameter of 10-40 mm in the Liushipo particle grading, the content ratio of particles with a diameter of 10-20 mm to 20-40 mm in the Liushipo particle grading, and the content ratio of particles with a diameter less than 10 mm to particles with a diameter greater than 40 mm in the Liushipo particle grading are obtained through the above-mentioned Liushipo particle grading content determination function.

[0075] Next, the terrain slopes of the sliding movement area and the accumulation area of ​​the stone slope were calculated respectively using the terrain slope determination functions of the sliding movement area and the accumulation area. The relevant slope data are helpful to understand the terrain characteristics of the stone slope and predict its movement trend. That is, the terrain slope of the sliding movement area of ​​the stone slope is obtained by using the terrain slope determination function of the sliding movement area, and the terrain slope of the accumulation area of ​​the stone slope is obtained based on the terrain slope determination function of the accumulation area.

[0076] Finally, the potential source mass that may be released from the rock slide source area when a disaster occurs is estimated based on the potential source mass determination function. The above calculation results are important for assessing the potential hazards of rock slide disasters and formulating corresponding prevention and control measures, that is, the potential source mass of the rock slide source area that causes rock slide disasters is obtained based on the potential source mass determination function.

[0077] In summary, by using the evaluation factor calculation model, detailed data on the rock slide in terms of particle grading, movement accumulation terrain slope and potential source quality were obtained, that is, the calculation results of different factors in the evaluation factor system were obtained. The relevant data provided strong support for subsequent analysis and decision-making.

[0078] Furthermore, in the present embodiment, the analysis method and calculation function of the evaluation factor system are merely an optional condition of the present invention. In one or some other embodiments, the analysis method and calculation function of the evaluation factor system can be optimized according to the actual analysis requirements of the movement and accumulation of the rock slide and the actual situation of the evaluation factors. Different rock slides have different geological, topographical and climatic conditions. Optimizing the evaluation method and function can ensure that the present invention adapts to complex and changeable actual situations and improves the applicability and practicality of the method.

[0079] S4. Based on the calculation results of the evaluation factors, a morphological parameter analysis model of the movement and accumulation of the stone slope is constructed. The calculation and analysis of the movement and accumulation morphology of the stone slope is realized through the morphological parameter analysis model of the movement and accumulation of the stone slope. The specific steps and related contents are as follows: Firstly, the morphological parameter analysis model of rock slide movement deposition is constructed based on the calculation results of the evaluation factors.

[0080] A model for analyzing the morphological parameters of the movement and accumulation of the rock slide was constructed based on the calculation results of the evaluation factors, including the content of different particle size ranges in the rock slide particle grading, the terrain slope of the sliding movement area, the terrain slope of the accumulation area, and the potential provenance quality of the source area.

[0081] The core of the morphological parameter analysis model lies in analyzing the complex relationship between the evaluation factors and the morphological parameters of the movement and accumulation of the rock slide. The morphological parameters in the embodiment mainly include the maximum accumulation length, the maximum accumulation width and the maximum accumulation height. Furthermore, the morphological parameter analysis model can comprehensively consider the influence of multiple evaluation factors on the movement and accumulation morphology of the rock slide, and provide a powerful analysis tool for the prediction and prevention of rock slide disasters.

[0082] The above-mentioned morphological parameter analysis model of rock slide movement accumulation satisfies the following relationship: , in, Indicates the maximum accumulation length of the rock slide. Indicates the maximum accumulation width of the gravel slope, Indicates the maximum accumulation height of the stone slope, It indicates the content of particle size of 10~40mm in the grading of Liushipo particles. It indicates the content ratio of 10~20mm to 20~40mm in the particle size distribution of the slippery slope. It indicates the content ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm in the grading of the slitting slope particles. Indicates the terrain slope of the rock slide area. Indicates the terrain slope of the rock slide accumulation area, It indicates the potential source quality of the rock slide source area that causes rock slide disasters.

[0083] The morphological parameter analysis model of rock slide movement accumulation can comprehensively consider the impact of multiple key evaluation factors on the morphology of rock slide movement accumulation, thereby achieving accurate prediction of the maximum accumulation length, width and height, which helps to accurately assess the potential scale and impact range of rock slide disasters and provide a scientific basis for disaster prevention and control. At the same time, through model prediction, potential rock slide disaster risks can be discovered in a timely manner, and corresponding early warning and prevention measures can be taken, such as strengthening monitoring, evacuating personnel in advance, and setting up protective facilities, so as to effectively reduce the losses caused by disasters.

[0084] Then, based on the above-mentioned morphological parameter analysis model of the moving accumulation of the rubble slope, quantitative change analysis of different morphological parameters is carried out, that is, quantitative change analysis is carried out on the maximum accumulation length, maximum accumulation width and maximum accumulation height respectively.

[0085] Based on the morphological parameter analysis model of rock slide motion accumulation, quantitative change analysis of different morphological parameters is performed and morphological parameter quantitative change analysis formulas are obtained. The above morphological parameter quantitative change analysis formulas include maximum accumulation length calculation formula, maximum accumulation width calculation formula and maximum accumulation height calculation formula.

[0086] Based on the morphological parameter analysis model of the movement and accumulation of the gravel slope, and combining linear, logarithmic, exponential and power functions to conduct quantitative change analysis of different morphological parameters, the quantitative change relationship between the maximum accumulation length, maximum accumulation width and maximum accumulation height of the gravel slope and various evaluation factors (the content of different particle sizes in the particle grading of the gravel slope, terrain slope and material source quality) can be further refined and expressed.

[0087] In the embodiment, a quantitative change relationship model of different morphological parameters is constructed. The above model takes the morphological parameters of the movement accumulation of the rubble slope (maximum accumulation length, maximum accumulation width and maximum accumulation height) as dependent variables, and takes the key particle size content in the particle grading of the rubble slope, the terrain slope and the quality of the material source as independent variables.

[0088] Four mathematical models, namely linear, logarithmic, exponential and power function, are used to fit the relationship between relevant variables. The quantitative analysis contents of different mathematical models are as follows: The relationships among the four mathematical models of the morphological parameter analysis model are as follows: Linear Model:

[0089] Logarithmic Model:

[0090] Exponential Model:

[0091] Power function model:

[0092] Among them, a, b, c, d, e, f, and g are constants that can be fitted by experimental data. Through the above four quantitative change relationship models, the movement and deposition morphological parameters of the rock slide can be predicted more accurately, providing a scientific basis for disaster warning, risk assessment, and formulation of prevention and control strategies.

[0093] The quantitative relationship between the morphological parameters of the rubble slope movement and the particle size content, terrain slope and material source quality is further integrated. Please see Table 2 for details.

[0094] Table 2 Different quantitative relationship tables of morphological parameter analysis models

[0095] In this embodiment, in order to obtain the calculation results of the maximum stacking length, maximum stacking width and maximum stacking height of the rubble slope, a quantitative change analysis is performed based on the information in Table 2, the content of different particle sizes in the particle grading of the rubble slope, the terrain slope, and the potential source quality of the source area.

[0096] In the process of quantitative change analysis, various data will be carefully recorded and analyzed, including but not limited to the accumulation morphological parameters of the rock slide under different conditions. Subsequently, statistical theory and experimental comparative analysis methods will be used to process and analyze the relevant data to find the quantitative relationship between different factors and accumulation morphological parameters.

[0097] Then, from the four theoretical function models (linear, logarithmic, exponential and power function), the quantitative change analysis formula that best matches the experimental data is selected. The above formulas will be used as the final analysis models to describe the quantitative relationship between the maximum accumulation length, maximum accumulation width and maximum accumulation height of the gravel slope and various influencing factors, that is, to obtain the quantitative change analysis formulas of different morphological parameters.

[0098] In order to ensure the accuracy and reliability of the quantitative change analysis formula of different morphological parameters, the selected model will be further verified and optimized, including but not limited to using more experimental data to verify the model, and adjusting the model parameters according to actual needs, etc., so as to provide a more accurate and scientific basis for the prediction, evaluation and prevention of rock slide disasters. Furthermore, the above rock slide movement accumulation experiment and test results are summarized, as shown in Table 3.

[0099] Table 3 Information table of rock slide movement accumulation analysis test

[0100] In order to reveal the quantitative relationship between the maximum stacking length, maximum stacking width and maximum stacking height of the tumble slope and multiple influencing factors, the embodiment performs fitting processing on the test data in Table 3 based on the quantitative change relationship model in Table 2.

[0101] The influencing factors mainly include: the content of 10-40mm particle size in the particle grading of the gravel slope, the ratio of 10-20mm to 20-40mm particle size, the ratio of particle size less than 10mm to that greater than 40mm, the terrain slope of the sliding movement area, the terrain slope of the accumulation area, and the potential source quality of the source area.

[0102] A series of numerical results will be obtained by quantitative change analysis and fitting of the maximum accumulation length of the rock slide. The relevant numerical results of the maximum accumulation length of the rock slide can be found in Table 4.

[0103] Table 4 Quantitative change relationship table of the maximum accumulation length of the rock slide

[0104] Based on the information in Table 4, we can see that the linear model The value is 92.30%, indicating that the model can better explain the linear relationship between the independent variable and the dependent variable (maximum accumulation length of the rock slide slope); the exponential model The value is 93.47%, which is the highest fit among the four models, indicating that this model performs best in describing the relationship between these variables; the logarithmic model and the power function model The values ​​are 54.06% and 57.74% respectively, which are relatively low, indicating that the above two models are not as effective as the linear model and exponential model in fitting the data.

[0105] In practical applications, choose The model with a higher value is used as the final model, that is, as the quantitative change analysis formula of the maximum accumulation length of the rock slide, which can better predict and explain the relevant data. It can be seen from the value that the exponential model is the best choice to describe the relationship between the maximum accumulation length of the rock slide and the influencing factors. This formula not only has a high degree of fit, but also can better reflect the complex relationship between various factors. Therefore, the above maximum accumulation length calculation formula satisfies the following relationship:

[0106] in, Indicates the maximum accumulation length of the rock slide. It indicates the content of particle size of 10~40mm in the grading of Liushipo particles. It indicates the content ratio of 10~20mm to 20~40mm in the particle size distribution of the slippery slope. It indicates the content ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm in the grading of the slitting slope particles. Indicates the terrain slope of the rock slide area. Indicates the terrain slope of the rock slide accumulation area, It indicates the potential source quality of the rock slide source area that causes rock slide disasters.

[0107] Similarly, a series of numerical results will be obtained by quantitative change analysis and fitting of the maximum accumulation width of the rock slope. The relevant numerical results of the maximum accumulation width of the rock slope can be found in Table 5.

[0108] Table 5 Quantitative change relationship table of the maximum accumulation width of the rock slide

[0109] Based on the information in Table 5, we can see that the linear model and the exponential model The values ​​were 82.45% and 82.72%, respectively, showing a high degree of fit, indicating that the two models have a certain degree of accuracy in describing the relationship between the maximum accumulation width of the rock slide and various influencing factors.

[0110] Logarithmic model and power function model The values ​​are 68.87% and 68.94% respectively, which are relatively low, indicating that these two models are not as effective as the linear model and exponential model in describing this relationship.

[0111] From the parameters of the linear model and the exponential model, we can see that , , and It has a negative impact on the maximum accumulation width of the chute slope, that is, the increase of the above variables will lead to a decrease in the accumulation width; and It has a positive effect on the stacking width, that is, the increase of the relevant variable will lead to an increase in the stacking width. It can be seen that the exponential model and the linear model perform equally well in describing the relationship between the maximum accumulation width of the tumble slope and the influencing factors. However, considering that the exponential model has more advantages in dealing with nonlinear relationships, the maximum accumulation width calculation formula in the embodiment satisfies the following relationship:

[0112] in, Indicates the maximum accumulation width of the gravel slope, It indicates the content of particle size of 10~40mm in the grading of Liushipo particles. It indicates the content ratio of 10~20mm to 20~40mm in the particle size distribution of the slippery slope. It indicates the content ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm in the grading of the slitting slope particles. Indicates the terrain slope of the rock slide area. Indicates the terrain slope of the rock slide accumulation area, It indicates the potential source quality of the rock slide source area that causes rock slide disasters.

[0113] Similarly, quantitative change analysis and fitting of the maximum accumulation height of the rock slide slope will yield a series of numerical results. The relevant numerical results of the maximum accumulation height of the rock slide slope can be found in Table 6.

[0114] Table 6 Quantitative change relationship table of maximum accumulation height of rock slide slope

[0115] Based on the information in Table 6, we can see that the exponential model The value is 87.01%, which is the highest among the four models, indicating that the exponential model has a higher accuracy in describing the relationship between the maximum accumulation height of the rock slide and various influencing factors; the linear model has a higher The value is 82.08%, which is slightly lower than the exponential model but also shows a good fitting effect; the logarithmic model and power function model The values ​​are 73.52% and 75.34%, respectively, which are relatively low, indicating that these two models are not as effective as the linear model and exponential model in describing this relationship.

[0116] In the linear model, The coefficient of (content of particle size 10~40mm) is positive, indicating that As the value increases, the maximum accumulation height of the rock slide will increase; The coefficient of the content ratio of particle size 1020 mm to 2040 mm) is positive in all models, indicating that the stacking height may increase with the increase of this ratio; The coefficient of (the ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm) is positive in the linear model but negative in the exponential model, reflecting the complex effects of particles of different sizes on the accumulation height; the topographic slope ( and ) show some differences in the model, among which The coefficient for (slip zone terrain slope) is generally positive, indicating that steeper slopes may lead to higher accumulation; The coefficient of (topographic slope of the accumulation area) is usually negative, indicating that a gentler slope of the accumulation area may be conducive to the increase of accumulation height; The coefficient of (potential source mass in the source area) is positive or close to positive in all models, indicating that the maximum accumulation height of the rock slide will increase with the increase of source mass.

[0117] according to It can be seen that the exponential model is the best choice to describe the relationship between the maximum accumulation height of the rock slide and the influencing factors. This formula not only has a high degree of fit, but also can better reflect the complex relationship between the factors.

[0118] The above maximum stacking height calculation formula satisfies the following relationship:

[0119] in, Indicates the maximum accumulation height of the stone slope, It indicates the content of particle size of 10~40mm in the grading of Liushipo particles. It indicates the content ratio of 10~20mm to 20~40mm in the particle size distribution of the slippery slope. It indicates the content ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm in the grading of the slitting slope particles. Indicates the terrain slope of the rock slide area. Indicates the terrain slope of the rock slide accumulation area, It indicates the potential source quality of the rock slide source area that causes rock slide disasters.

[0120] Finally, the quantitative change analysis results of different morphological parameters can be obtained based on the quantitative change analysis formulas of different morphological parameters.

[0121] Combining the relevant data in Table 4, Table 5 and Table 6, it can be seen that after comparing the four quantitative change analysis fitting methods of linear model, logarithmic model, exponential model and power function model, it is found that the quantitative change relationship between the maximum accumulation length L, maximum accumulation width W and maximum accumulation height H of the rock slide slope obtained by exponential model fitting and the key parameters in the rock slide slope particle grading, the terrain slope of the sliding movement area, the terrain slope of the accumulation area and the potential source quality of the source area is The values ​​are the highest among the four models. Therefore, it can be determined that the exponential model is the optimal formula for quantitative change analysis of different morphological parameters.

[0122] Then the following quantitative change analysis formula for calculating the morphological parameters of the rock slide motion accumulation is obtained: The calculation formula for the maximum stacking length L is:

[0123] The calculation formula for the maximum stacking width W is:

[0124] The calculation formula for the maximum stacking height H is:

[0125] In an optional embodiment, the quantitative change analysis formula based on different morphological parameters can accurately derive the quantitative change analysis results of different morphological parameters. The maximum accumulation length, maximum accumulation width and maximum accumulation height of the stone slope obtained by calculation are 77.03 cm, 83.60 cm and 10.37 cm respectively. At the same time, the corresponding values ​​obtained by experimental measurement are 72.00 cm, 89.00 cm and 9.80 cm respectively. In contrast, the error rates between the calculated values ​​and the experimental measurement values ​​are 6.53%, 6.46% and 5.50% respectively, and all errors do not exceed 10%. Based on the above comparison results, it is further explained that the present invention can quickly and accurately determine the key motion accumulation morphological parameters such as the maximum accumulation length, maximum accumulation width and maximum accumulation height of the stone slope.

[0126] The present invention fills the gap in the research on the movement and accumulation morphology of stone slides, and provides technical support for quickly and accurately determining the movement and accumulation morphology characteristics of stone slides. It not only helps to better understand the movement laws of stone slides, but also provides strong technical support for the prevention and control of stone slide disasters.

[0127] The method of the present invention has the advantages and characteristics of being simple, fast, accurate and reliable. The process of determining the evaluation factors and the corresponding system is simple and easy, which saves engineering economic costs and improves the efficiency of parameter calculation. In the field of geological disaster prevention and mitigation and environmental protection, the present invention has high practical value and promotion value, and helps to improve the prediction and prevention and control capabilities of geological disasters.

[0128] See also Figure 2 In an optional embodiment, the present invention further provides a computing system for determining the morphological parameters of the accumulation of motion on a rocky slope. The computing system for determining the morphological parameters of the accumulation of motion on a rocky slope comprises a processor, an input device, an output device and a memory. The processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, and the computer program comprises program instructions. The processor is configured to call the program instructions and execute the specific steps of the computing method for determining the morphological parameters of the accumulation of motion on a rocky slope and the related embodiments provided by the present invention. The computing system for determining the morphological parameters of the accumulation of motion on a rocky slope of the present invention has a complete structure and is objective and stable.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A calculation method for determining the morphological parameters of the movement and accumulation of a rock slide, characterized in that: The steps include: Obtaining the slitting slope sample and the geological environment information of the slitting slope sample, and performing a particle analysis test on the slitting slope sample to obtain the particle gradation information of the slitting slope sample; Constructing an evaluation factor system for movement and accumulation of rock slides based on the geological environment information and the particle grading information; Establishing a calculation model for evaluation factors of rock slide movement accumulation, analyzing the evaluation factor system using the calculation model for evaluation factors, and obtaining calculation results of evaluation factors of the evaluation factor system; A morphological parameter analysis model of the movement and accumulation of the stone slope is constructed according to the calculation results of the evaluation factors, and the calculation and analysis of the movement and accumulation morphology of the stone slope is realized through the morphological parameter analysis model of the movement and accumulation of the stone slope.

2. The calculation method for determining the morphological parameters of the rock slide motion accumulation according to claim 1 is characterized in that: The evaluation factor system for the movement and accumulation of rock slides constructed based on the geological environment information and the particle gradation information includes: The assessment factors for the movement and accumulation of a rocky slope are screened out based on the geological environment information and the particle grading information. The assessment factors for the movement and accumulation of a rocky slope include the content of particle sizes of 10 to 40 mm in the rocky slope particle grading, the content ratio of particle sizes of 10 to 20 mm to 20 to 40 mm in the rocky slope particle grading, the content ratio of particle sizes less than 10 mm to greater than 40 mm in the rocky slope particle grading, the terrain slope of the rocky slope sliding movement area, the terrain slope of the rocky slope accumulation area and the quality of potential source materials in the rocky slope source area that may lead to rocky slope disasters.

3. The calculation method for determining the morphological parameters of the rock slide motion accumulation according to claim 2, characterized in that: The evaluation factor system for the movement and accumulation of rock slides constructed based on the geological environment information and the particle gradation information includes: Based on the content of particle sizes of 10-40mm in the particle grading of the calcite slope, the ratio of particle sizes of 10-20mm to 20-40mm in the particle grading of the calcite slope, the ratio of particle sizes less than 10mm to greater than 40mm in the particle grading of the calcite slope, the terrain slope of the slippery movement area of ​​the calcite slope, the terrain slope of the slippery slope accumulation area and the quality of potential source materials in the calcite slope source area that lead to calcite slope disasters, a system of evaluation factors for the movement and accumulation of the calcite slope is constructed and obtained.

4. The calculation method for determining the morphological parameters of the rock slide motion accumulation according to claim 1 is characterized in that: The calculation model for the evaluation factors of the movement and accumulation of the rock slide slope comprises: Set the function for determining the particle gradation content of the rock slide slope, the function for determining the terrain slope of the sliding movement area, the function for determining the terrain slope of the accumulation area and the function for determining the quality of the potential source; The calculation model of evaluation factors for movement and accumulation of a rock slope is obtained by combining the particle grading content determination function of the rock slope, the terrain slope determination function of the sliding movement area, the terrain slope determination function of the accumulation area and the potential material source quality determination function.

5. The calculation method for determining the morphological parameters of the rock slide motion deposition according to claim 4 is characterized in that: The function for determining the particle gradation content of the slitting slope satisfies the following relationship: ， in, represents the i-th particle size distribution content of the slitting slope, represents the quality of the i-th particle size distribution of the rubble slope, represents the total mass of the rock slide sample; The slope determination function of the slippery motion area terrain satisfies the following relationship: ， in, Indicates the terrain slope of the rock slide area. Indicates the vertical height of the sliding area of ​​the rock slide. Indicates the horizontal distance of the sliding movement area of ​​the rock slide; The function for determining the terrain slope of the accumulation area satisfies the following relationship: ， in, Indicates the terrain slope of the rock slide accumulation area, Indicates the vertical height of the rock slide accumulation area. Indicates the horizontal distance of the rock slide accumulation area; The potential source quality determination function satisfies the following relationship: ， in, represents the potential source quality of the slitting slope source area that causes the slitting slope disaster, 2900 represents the average density of the source in the slitting slope source area, It represents the area of ​​strong and moderate weathering in the source area of ​​the sloping slope. Indicates the thickness of the strata in the strong to moderate weathering area of ​​the Liushipo source area.

6. The calculation method for determining the morphological parameters of the rock slide motion accumulation according to claim 5 is characterized in that: The analyzing the evaluation factor system by using the evaluation factor calculation model includes: The content of the particle size of 10-40 mm in the Liushipo particle grading, the content ratio of the particle size of 10-20 mm to 20-40 mm in the Liushipo particle grading, and the content ratio of the particle size of less than 10 mm to greater than 40 mm in the Liushipo particle grading are obtained by the Liushipo particle grading content determination function; The terrain slope of the slippery slope is obtained by using the slippery slope terrain slope determination function; Obtaining the terrain slope of the rock slope accumulation area based on the accumulation area terrain slope determination function; The potential source quality of the rock slide source area that causes the rock slide disaster is obtained according to the potential source quality determination function.

7. The calculation method for determining the morphological parameters of the rock slide motion accumulation according to claim 1, characterized in that: The morphological parameter analysis model of the rock slide movement accumulation is constructed based on the calculation results of the evaluation factors, including: The morphological parameter analysis model of the rock slide movement accumulation satisfies the following relationship: ， in, Indicates the maximum accumulation length of the rock slide. Indicates the maximum accumulation width of the gravel slope, Indicates the maximum accumulation height of the stone slope, It indicates the content of particle size of 10~40mm in the grading of Liushipo particles. It indicates the content ratio of 10~20mm to 20~40mm in the particle size distribution of the slippery slope. It indicates the content ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm in the grading of the slitting slope particles. Indicates the terrain slope of the rock slide area. Indicates the terrain slope of the rock slide accumulation area, It indicates the potential source quality of the rock slide source area that causes rock slide disasters.

8. The calculation method for determining the morphological parameters of the rock slide motion accumulation according to claim 7 is characterized in that: The step of constructing a morphological parameter analysis model of the movement and accumulation of the stone slope according to the calculation results of the evaluation factors, and realizing the calculation and analysis of the movement and accumulation morphology of the stone slope by using the morphological parameter analysis model of the movement and accumulation of the stone slope includes: Based on the morphological parameter analysis model of the rock slide motion accumulation, quantitative change analysis of different morphological parameters is performed to obtain quantitative change analysis results of different morphological parameters.

9. The calculation method for determining the morphological parameters of the rock slide motion accumulation according to claim 8, characterized in that: The morphological parameter analysis model based on the rock slide motion accumulation performs quantitative change analysis on different morphological parameters to obtain quantitative change analysis results of different morphological parameters, including: Based on the morphological parameter analysis model of the rock slide motion accumulation, quantitative change analysis of different morphological parameters is performed to obtain a morphological parameter quantitative change analysis formula, wherein the morphological parameter quantitative change analysis formula includes a maximum accumulation length calculation formula, a maximum accumulation width calculation formula and a maximum accumulation height calculation formula; The maximum stacking length calculation formula satisfies the following relationship: ， The maximum stacking width calculation formula satisfies the following relationship: ， The maximum stacking height calculation formula satisfies the following relationship: ， in, Indicates the maximum accumulation length of the rock slide. Indicates the maximum accumulation width of the gravel slope, Indicates the maximum accumulation height of the stone slope, It indicates the content of particle size of 10~40mm in the grading of Liushipo particles. It indicates the content ratio of 10~20mm to 20~40mm in the particle size distribution of the slippery slope. It indicates the content ratio of particles with a diameter less than 10 mm to those with a diameter greater than 40 mm in the grading of the slitting slope particles. Indicates the terrain slope of the rock slide area. Indicates the terrain slope of the rock slide accumulation area, It indicates the potential source quality of the rock slide source area that causes rock slide disasters.

10. A computing system for determining the morphological parameters of a rock slide motion deposit, characterized in that: The system includes a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the calculation method for determining the morphological parameters of the motion accumulation of a rock slide as described in any one of claims 1 to 9.

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