Calculation method and device for quickly estimating landslide object source depth

Abstract

The invention provides a calculation method and device for rapidly estimating the depth of a landslide object source, relates to the field of geological engineering, and aims to solve the problem that the depth of a landslide cannot be rapidly and accurately estimated in the related technology. The method comprises the following steps: acquiring a source area and a volume expansion coefficient of a target landslide, wherein the volume expansion coefficient is a parameter reflecting a relationship between a landslide source volume and a landslide accumulation body volume; according to the landslide type and the geological type of the target landslide, a landslide source depth algorithm corresponding to the target landslide is determined, and the landslide type comprises a linear sliding surface, an arc-shaped sliding surface and a wedge-shaped sliding surface; according to the source area, the volume loose coefficient and a landslide source depth algorithm, the source depth of the target landslide is calculated and obtained, and the source depth of the target landslide is the maximum depth in the normal direction of the landslide surface.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of geological engineering, and more specifically, to a calculation method and device for rapidly estimating the depth of landslide source. Background Art

[0002] Landslide refers to the natural phenomenon that soil or rock on a slope slides downward under the influence of external factors such as rain and earthquakes. The depth of a landslide is an important parameter for assessing the scale and potential hazards of a landslide. Related technologies use empirical values ​​of the depth of shallow landslides induced by earthquakes, or use limited New Zealand landslide data to obtain a relationship in which the depth of a landslide is proportional to the width of the landslide, to estimate the depth of a landslide. However, these methods ignore the shape of the sliding surface of the landslide and do not connect the theoretical shape of the landslide with the empirical formula of the landslide, resulting in an inability to quickly and accurately estimate the depth of a landslide. Summary of the invention

[0003] The embodiments of the present application provide a calculation method and device for quickly estimating the depth of landslide source, aiming to solve the problem in the related art that the depth of the landslide cannot be estimated quickly and accurately.

[0004] The first aspect of the embodiment of the present application provides a calculation method for quickly estimating the depth of landslide source, comprising: Obtaining the material source area and volume expansion coefficient of the target landslide, wherein the volume expansion coefficient is a parameter reflecting the relationship between the volume of the landslide material source and the volume of the landslide accumulation body; Determine the landslide source depth algorithm corresponding to the target landslide according to the landslide type and geological type of the target landslide, wherein the landslide types include: linear sliding surface, arc sliding surface, and wedge sliding surface; The material source depth of the target landslide is calculated according to the material source area, the volume expansion coefficient and the landslide material source depth algorithm. The material source depth of the target landslide is the maximum depth in the normal direction of the landslide slope surface.

[0005] In an optional implementation, the landslide source depth algorithm is calculated according to the following steps: According to different landslide types, a first algorithm for the relationship between the source area, source depth and source volume is obtained; A second algorithm for obtaining a relationship between the source volume and the accumulation volume; A third algorithm for obtaining the relationship between the volume of the accumulation body and the source area; The landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm.

[0006] In an optional implementation, the first algorithm for obtaining the relationship between the source area, source depth and source volume according to different landslide types includes: When the landslide type is a linear sliding surface, the first algorithm is: ; in, The source volume of the landslide representing a linear sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide; When the landslide type is an arc-shaped sliding surface, the first algorithm is obtained according to the volume formula of a sphere and an ellipsoid, and the first algorithm is: ; in, The source volume of the landslide representing the arc-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide; When the landslide type is a wedge-shaped sliding surface, the first algorithm is obtained according to the volume formula of a cone. The first algorithm is: ; in, The source volume of the landslide representing the wedge-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide.

[0007] In an optional implementation, the second algorithm for obtaining the relationship between the source volume and the accumulation volume includes: The second algorithm is: ; in, The source volume of the landslide representing all landslide types; It indicates the volume of the landslide accumulation; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0008] In an optional implementation, the third algorithm for obtaining the relationship between the volume of the deposit and the source area includes: The third algorithm is: ; in, Indicates the volume of the landslide accumulation; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; the first regression coefficient and the second regression coefficient are obtained by regression calculation based on data of multiple real landslide accumulation volumes and landslide source areas.

[0009] In an optional embodiment, the method further includes: By collecting data on the accumulation volume and material source area of ​​a plurality of real landslides, a third algorithm for the relationship between the accumulation volume and the material source area is obtained according to different geological types, wherein the geological types include rock landslide and soil landslide, and the third algorithm includes a first sub-algorithm and a second sub-algorithm; In the case where the geological type is rock landslide, the first sub-algorithm is: ; in, represents the accumulation volume of rock landslide; 0.2344 represents the first regression coefficient of rock landslide The value of is 0.2344; represents the source area of ​​the landslide; 1.41 represents the second regression coefficient of the rock landslide The value of is 1.41; When the geological type is soil landslide, the second sub-algorithm is: ; in, represents the accumulation volume of soil landslide; 0.2244 represents the first regression coefficient of soil landslide The value of is 0.2244; represents the source area of ​​the landslide; 1.262 represents the second regression coefficient of soil landslide The value of is 1.262.

[0010] In an optional implementation, the algorithm for calculating the landslide source depth according to the first algorithm, the second algorithm and the third algorithm includes: In the case where the landslide type is a linear sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; In the case where the landslide type is an arc-shaped sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; In the case where the landslide type is a wedge-shaped sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0011] In an optional implementation, the algorithm for calculating the landslide source depth according to the first algorithm, the second algorithm and the third algorithm includes: When the landslide type is a linear sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is an arc-shaped sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a wedge-shaped sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a linear sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is an arc-shaped sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a wedge-shaped sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0012] In an optional implementation manner, obtaining the source area and volume expansion coefficient of the target landslide includes: When the source volume and the accumulation volume of the target landslide are determined, the volume expansion coefficient of the target landslide is obtained according to the second algorithm; In the case where the source volume and the accumulation volume of the target landslide are uncertain, determining whether there is a scraper on the target landslide; In the case where there is no scraper on the target landslide, obtaining the volume expansion coefficient of the target landslide according to the first interval value; In the case where there is a scraper on the target landslide, the volume expansion coefficient of the target landslide is obtained according to the second interval value, and the values ​​in the first interval value are all smaller than the values ​​in the second interval value.

[0013] A second aspect of an embodiment of the present application provides a computing device for rapidly estimating the depth of landslide source, comprising: An acquisition module is used to acquire the material source area and volume expansion coefficient of the target landslide, wherein the volume expansion coefficient is a parameter reflecting the relationship between the volume of the landslide material source and the volume of the landslide accumulation body; A determination module, used to determine the landslide source depth algorithm corresponding to the target landslide according to the landslide type and geological type of the target landslide, wherein the landslide types include: linear sliding surface, arc sliding surface, and wedge sliding surface; The calculation module is used to calculate the material source depth of the target landslide according to the material source area, the volume expansion coefficient and the landslide material source depth algorithm. The material source depth of the target landslide is the maximum depth in the normal direction of the landslide slope surface.

[0014] In this embodiment, the source area and volume expansion coefficient of the target landslide are obtained, and the volume expansion coefficient is a parameter that reflects the relationship between the volume of the landslide source and the volume of the landslide accumulation body; according to the landslide type and geological type of the target landslide, the landslide source depth algorithm corresponding to the target landslide is determined, and the landslide types include: linear sliding surface, arc sliding surface, and wedge sliding surface; according to the source area, volume expansion coefficient and landslide source depth algorithm, the source depth of the target landslide is calculated, and the source depth of the target landslide is the maximum depth in the normal direction of the landslide surface. The landslide type determined by the geological type and sliding surface shape of the landslide is considered, and the volume expansion coefficient is introduced, which can more accurately estimate the source depth of the landslide, and is suitable for the estimation of the source depth of landslides with different rock and soil materials and different inducements; using simple algorithms and parameters, the depth of the landslide can be calculated more quickly, which helps to timely evaluate the potential hazards of the landslide. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0016] Figure 1 This is a schematic diagram of the depth of a landslide in the present application; Figure 2 It is a flowchart of the steps of a calculation method for quickly estimating the depth of landslide source proposed in an embodiment of the present application; Figure 3 It is a schematic diagram of a linear sliding surface of a calculation method for rapidly estimating the depth of landslide source proposed in an embodiment of the present application; Figure 4 It is a schematic diagram of an arc-shaped sliding surface of a calculation method for rapidly estimating the depth of landslide source proposed in an embodiment of the present application; Figure 5 A schematic diagram of a wedge-shaped sliding surface of a calculation method for rapidly estimating the depth of landslide source proposed in an embodiment of the present application; Figure 6 A schematic diagram of zoning of riprap landslide materials in a calculation method for rapidly estimating landslide source depth proposed in an embodiment of the present application. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] Reference Figure 1 , Figure 1 FIG. 1 is a flowchart of a method for rapidly estimating the depth of landslide source material proposed in an embodiment of the present application. Figure 1 As shown, the method includes the following steps S11 to S13: Step S11: obtaining the material source area and volume expansion coefficient of the target landslide, wherein the volume expansion coefficient is a parameter reflecting the relationship between the volume of the landslide material source and the volume of the landslide accumulation body.

[0019] The source area is the area occupied by the landslide body (i.e., landslide material, such as soil, rock, etc.) when the landslide occurs, which can be obtained through geological surveys, remote sensing technology, or geographic information systems. The landslide source volume is the volume of material contained in the landslide body before the landslide occurs; the accumulation volume refers to the volume formed by the accumulation of landslide materials due to collision, friction, rolling, etc. during the sliding process after the landslide occurs. The volume expansion coefficient is a parameter that describes the relationship between the landslide source volume and the accumulation volume. It reflects the volume expansion effect caused by collision, friction, rolling, etc. during the movement of landslide materials. The volume expansion coefficient is mainly obtained by statistics based on existing data.

[0020] Step S12: determining a landslide source depth algorithm corresponding to the target landslide according to the landslide type and geological type of the target landslide, wherein the landslide types include: a linear sliding surface, an arc sliding surface, and a wedge sliding surface.

[0021] The landslide source depth algorithms corresponding to different landslide types (straight sliding surface, arc sliding surface, wedge sliding surface) and different landslide geological types (soil, rock) are different. According to the landslide type and geological type of the target landslide, determine the landslide source depth algorithm corresponding to the target landslide. The landslide source depth algorithm is used to calculate the landslide source depth based on the source area and volume expansion coefficient. The source depth is the maximum depth in the normal direction of the landslide slope, see Figure 2 .

[0022] Furthermore, the landslide source depth algorithm is calculated according to the following steps: According to different landslide types, a first algorithm for the relationship between the source area, source depth and source volume is obtained; A second algorithm for obtaining a relationship between the source volume and the accumulation volume; A third algorithm for obtaining the relationship between the volume of the accumulation body and the source area; The landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm.

[0023] According to the shape of the landslide body of different landslide types, the first algorithm for the relationship between the source area, source depth and source volume of the landslide can be generalized. By introducing the source volume of the landslide into the volume expansion coefficient of the accumulation body, the second algorithm for the relationship between the accumulation body volume and the source area can be obtained. By introducing the empirical formula of the landslide source area and the accumulation body volume, the third algorithm for the relationship between the accumulation body volume and the source area can be obtained. Combining the first algorithm, the second algorithm and the third algorithm, the landslide source depth algorithm can be obtained. The landslide source depth algorithm is used to calculate the source depth of the landslide based on the source area and the volume expansion coefficient. By introducing the source volume of the landslide into the volume expansion coefficient of the accumulation body and connecting the theoretical shape of the landslide with the empirical formula of the landslide, the source depth can be solved as an unknown variable, making the calculation method of the landslide source depth simple, practical and accurate.

[0024] Furthermore, the first algorithm for obtaining the relationship between the source area, source depth and source volume according to different landslide types includes: When the landslide type is a linear sliding surface, the first algorithm is: ; in, The source volume of the landslide representing a linear sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide; When the landslide type is an arc-shaped sliding surface, the first algorithm is obtained according to the volume formula of a sphere and an ellipsoid, and the first algorithm is: ; in, The source volume of the landslide representing the arc-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide; When the landslide type is a wedge-shaped sliding surface, the first algorithm is obtained according to the volume formula of a cone. The first algorithm is: ; in, The source volume of the landslide representing the wedge-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide.

[0025] According to the shapes of different landslide surfaces, landslides are generalized into three types: linear sliding surface, arc sliding surface, and wedge sliding surface. Therefore, the landslide types include: linear sliding surface, arc sliding surface, and wedge sliding surface, see Figure 3 , Figure 4 , Figure 5 The formula between the source area, source depth and source volume, that is, the first algorithm can be generalized as: (1) (2) (3) in, The source volume of the landslide representing a linear sliding surface; The source volume of the landslide representing the arc-shaped sliding surface; The source volume of the landslide representing the wedge-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide. The source volume of the landslide with an arc-shaped sliding surface is mainly estimated based on the volume formula of a sphere and an ellipsoid; the source volume of the landslide with a wedge-shaped sliding surface is mainly estimated based on the volume formula of a cone.

[0026] Furthermore, the second algorithm for obtaining the relationship between the source volume and the accumulation volume includes: The second algorithm is: ; in, The source volume of the landslide representing all landslide types; Indicates the volume of the landslide accumulation; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0027] The volume expansion coefficient reflects the volume expansion effect of landslide materials due to collision, friction, rolling, etc. during movement. , then the source volume of the landslide can be calculated by the formula, that is, the second algorithm for the relationship between the source volume and the accumulation volume is: (4) in, The source volume of the landslide representing all landslide types; Indicates the volume of the landslide accumulation; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0028] Furthermore, the third algorithm for obtaining the relationship between the volume of the deposit and the source area includes: The third algorithm is: ; in, Indicates the volume of the landslide accumulation; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; the first regression coefficient and the second regression coefficient are obtained by regression calculation based on data of multiple real landslide accumulation volumes and landslide source areas.

[0029] There is a statistical relationship between the volume of the landslide accumulation and the source area. Through data collection and regression analysis, an empirical formula between the volume of the landslide accumulation and the source area can be fitted. That is, the third algorithm for the relationship between the volume of the landslide accumulation and the source area is: (5) in, Indicates the volume of the landslide accumulation; represents the first regression coefficient; Indicates the source area of ​​the landslide; Represents the second regression coefficient. The first regression coefficient and the second regression coefficient can be obtained by regression calculation based on a large amount of real landslide accumulation volume and landslide source area data. During the movement of the landslide, the source volume is magnified to varying degrees, and then used for regression, which will greatly reduce the correlation between the landslide volume, area, and depth. Therefore, the landslide volume in the landslide area and volume empirical formula used in this application is the landslide accumulation volume, not the landslide source volume.

[0030] Furthermore, the method further comprises: By collecting data on the accumulation volume and material source area of ​​a plurality of real landslides, a third algorithm for the relationship between the accumulation volume and the material source area is obtained according to different geological types, wherein the geological types include rock landslide and soil landslide, and the third algorithm includes a first sub-algorithm and a second sub-algorithm; In the case where the geological type is rock landslide, the first sub-algorithm is: ; in, represents the accumulation volume of rock landslide; 0.2344 represents the first regression coefficient of rock landslide The value of is 0.2344; represents the source area of ​​the landslide; 1.41 represents the second regression coefficient of the rock landslide The value of is 1.41; When the geological type is soil landslide, the second sub-algorithm is: ; in, represents the accumulation volume of soil landslide; 0.2244 represents the first regression coefficient of soil landslide The value of is 0.2244; represents the source area of ​​the landslide; 1.262 represents the second regression coefficient of soil landslide The value of is 1.262.

[0031] In formula (5), different geological types have corresponding first regression coefficients and the second regression coefficient The first regression coefficient of landslides of different geological types can be calculated by collecting a large amount of data on the volume of real landslide deposits and the source area of ​​landslides. and the second regression coefficient Specifically, for soil landslides, and are 0.2244 and 1.262 respectively; for rock landslides, and Therefore, the third algorithm may include a first sub-algorithm for rock landslides and a second sub-algorithm for soil landslides, and the first sub-algorithm and the second sub-algorithm are: (6) (7) in, It represents the volume of the accumulation of rock slide; It indicates the accumulation volume of soil landslide; Indicates the source area of ​​the landslide.

[0032] Furthermore, the algorithm for calculating the landslide source depth according to the first algorithm, the second algorithm and the third algorithm includes: In the case where the landslide type is a linear sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; In the case where the landslide type is an arc-shaped sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; In the case where the landslide type is a wedge-shaped sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0033] According to the combination of formulas (1), (2), (3), (4), (5), we can get the estimation formula of the landslide depth under different sliding surface combinations. Specifically, according to the combination of formulas (1), (4), (5), we can get the estimation formula of the landslide depth corresponding to the landslide with a straight sliding surface; according to the combination of formulas (2), (4), (5), we can get the estimation formula of the landslide depth corresponding to the landslide with an arc sliding surface; according to the combination of formulas (3), (4), (5), we can get the estimation formula of the landslide depth corresponding to the landslide with a wedge sliding surface. These landslide depth estimation formulas obtained under different landslide types are the landslide source depth algorithm. The landslide source depth algorithm is: Landslide with straight sliding surface: (8) Landslide with curved sliding surface: (9) Landslide with wedge-shaped sliding surface: (10) in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0034] Furthermore, the algorithm for calculating the landslide source depth according to the first algorithm, the second algorithm and the third algorithm includes: When the landslide type is a linear sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is an arc-shaped sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a wedge-shaped sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a linear sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is an arc-shaped sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a wedge-shaped sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0035] According to the combination of formulas (1), (2), (3), (4), and (5), the estimation formula for the depth of the landslide under different sliding surface combinations can be obtained. Based on formula (5), formula (6) for rock landslides and formula (7) for soil landslides can be further obtained for different geological types of landslides. Therefore, according to the combination of formulas (1), (2), (3), (4), (6), and (7), the estimation formula for the depth of the landslide under different sliding surface combinations and different rock and soil combinations can be obtained.

[0036] Specifically, according to the combination of formulas (1), (4) and (6), the formula for estimating the landslide depth corresponding to a rock landslide with a straight sliding surface can be obtained; according to the combination of formulas (2), (4) and (6), the formula for estimating the landslide depth corresponding to a rock landslide with an arc sliding surface can be obtained; according to the combination of formulas (3), (4) and (6), the formula for estimating the landslide depth corresponding to a rock landslide with a wedge sliding surface can be obtained.

[0037] According to the combination of formulas (1), (4) and (7), the formula for estimating the landslide depth corresponding to a soil landslide with a straight sliding surface can be obtained; according to the combination of formulas (2), (4) and (7), the formula for estimating the landslide depth corresponding to a soil landslide with an arc sliding surface can be obtained; according to the combination of formulas (3), (4) and (7), the formula for estimating the landslide depth corresponding to a soil landslide with a wedge sliding surface can be obtained.

[0038] The landslide depth estimation formulas obtained under these different landslide types and different geological types are the landslide source depth algorithm. The landslide source depth algorithm is: Rock slide with linear sliding surface: (11) Rock landslide with curved sliding surface: (12) Rock slide with wedge-shaped sliding surface: (13) Soil landslide with linear sliding surface: (14) Soil landslide with curved sliding surface: (15) Soil landslide with wedge-shaped sliding surface: (16) in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0039] Furthermore, the obtaining of the source area and volume expansion coefficient of the target landslide includes: When the source volume and the accumulation volume of the target landslide are determined, the volume expansion coefficient of the target landslide is obtained according to the second algorithm; In the case where the source volume and the accumulation volume of the target landslide are uncertain, determining whether there is a scraper on the target landslide; In the case where there is no scraper on the target landslide, obtaining the volume expansion coefficient of the target landslide according to the first interval value; In the case where there is a scraper on the target landslide, the volume expansion coefficient of the target landslide is obtained according to the second interval value, and the values ​​in the first interval value are all smaller than the values ​​in the second interval value.

[0040] When the source volume and accumulation volume of the target landslide are determined, the accurate value of the volume expansion coefficient can be calculated by the second algorithm, i.e., formula (4). When the source volume and accumulation volume of the target landslide are uncertain, it is determined whether there is a scraper on the target landslide. If there is no scraper on the target landslide, the volume expansion coefficient of the target landslide is obtained according to the first interval value; otherwise, the volume expansion coefficient of the target landslide is obtained according to the second interval value. Specifically, for ordinary landslides, the landslide movement path is not far and there is no long path scraper, the volume expansion coefficient The parameter value can be between 1.2 and 1.3 (the first interval value), such as the median value of 1.25; and for individual high-level, high-speed and long-distance landslides, the volume expansion coefficient parameter The value should be larger than that of ordinary landslides. For example, the source of riprap landslide is expanded by 1.78 times. The parameter is between 1.5 and 2.0 (the second interval value). The first interval value and the second interval value here are mainly obtained based on the statistics of the existing data. , needs to be determined according to the unique characteristics of each landslide. Parameter selection.

[0041] Step S13: Calculate the material source depth of the target landslide according to the material source area, the volume expansion coefficient and the landslide material source depth algorithm. The material source depth of the target landslide is the maximum depth in the normal direction of the landslide slope surface.

[0042] According to the source area of ​​the target landslide obtained in step S11 and volume expansion coefficient , and step S12 determines the landslide source depth algorithm corresponding to the target landslide according to the landslide type and geological type of the target landslide. For example, if the landslide type of the target landslide is an arc sliding surface and the geological type is a rock landslide, the corresponding landslide source depth algorithm can be determined. Formula (12) can be used to calculate the source depth of the target landslide. The calculated source depth of the target landslide is the maximum depth in the normal direction of the landslide surface.

[0043] In this embodiment, the source area and volume expansion coefficient of the target landslide are obtained, and the volume expansion coefficient is a parameter that reflects the relationship between the volume of the landslide source and the volume of the landslide accumulation body; according to the landslide type and geological type of the target landslide, the landslide source depth algorithm corresponding to the target landslide is determined, and the landslide types include: linear sliding surface, arc sliding surface, and wedge sliding surface; according to the source area, volume expansion coefficient and landslide source depth algorithm, the source depth of the target landslide is calculated, and the source depth of the target landslide is the maximum depth in the normal direction of the landslide surface. The landslide type determined by the geological type and sliding surface shape of the landslide is considered, and the volume expansion coefficient is introduced, which can more accurately estimate the source depth of the landslide, and is suitable for the estimation of the source depth of landslides with different rock and soil materials and different inducements; using simple algorithms and parameters, the depth of the landslide can be calculated more quickly, which helps to timely evaluate the potential hazards of the landslide.

[0044] For ease of understanding, the embodiments of the present disclosure are described through specific application scenarios.

[0045] like Figure 5 As shown in Figure 2, taking the riprap landslide as an example, its source area is 0.84 km 2 This landslide is quite special, with a landslide source volume of 3245×104 m 3 During the landslide movement, the materials at the front edge of the landslide were pushed and scraped, resulting in a landslide volume of 5771×104 m 3 (This volume is obtained by combining the drilling and the contour lines of the landslide area with an accuracy of 2 m). The depth of the landslide source investigated in the literature is 55 m. 3 ) and the volume of the accumulation body (5771×104 m 3 ) is determined, the volume expansion coefficient of the landslide can be calculated as 1.778 according to the second algorithm, i.e., formula (4). Since the landslide is a rock landslide with an arc-shaped sliding surface, the corresponding landslide source depth algorithm, i.e., formula (12), is used to estimate its source depth to be 53.01 m. The error of the estimated depth relative to the true depth is only -3.62%.

[0046] Taking the Baige landslide in Jinsha River as an example, the overall potential source area of ​​the landslide is 0.91 km 2 Based on the high-precision UAV DEM and the 3DAnalyst analysis tool, the first sliding volume of the Baige landslide was 3500×104 m 3 The second sliding volume is 160×104 m 3 The remaining volume of the trailing edge is about 395× 104 m 3 The source volume of the landslide is 4055×104m 3, the landslide depth in the literature is 80m. The volume of the accumulation body of the landslide is uncertain, and there is no long path scraping. Therefore, the volume expansion coefficient is obtained according to the first interval value (1.2~1.3), such as the volume expansion coefficient is 1.2 times; since the landslide is a rock landslide with an arc-shaped sliding surface, the corresponding landslide source depth algorithm, that is, formula (12), is used to estimate its source depth to be 80.12m, and the error of the estimated depth relative to the true depth is only 1.56%.

[0047] From the relative error results obtained in the above two examples, it can be seen that the calculation method for quickly estimating the landslide source depth proposed in this application can quickly and accurately calculate the landslide source depth through the landslide source depth algorithm after obtaining the landslide source area and volume expansion coefficient.

[0048] Based on the same inventive concept, an embodiment of the present application provides a computing device for rapidly estimating the depth of landslide source, the device comprising: An acquisition module, used to acquire the material source area and volume expansion coefficient of the target landslide, wherein the volume expansion coefficient is a parameter reflecting the relationship between the volume of the landslide material source and the volume of the landslide accumulation body; A determination module, used to determine the landslide source depth algorithm corresponding to the target landslide according to the landslide type and geological type of the target landslide, wherein the landslide types include: linear sliding surface, arc sliding surface, and wedge sliding surface; The calculation module is used to calculate the material source depth of the target landslide according to the material source area, the volume expansion coefficient and the landslide material source depth algorithm. The material source depth of the target landslide is the maximum depth in the normal direction of the landslide slope surface.

[0049] In an optional implementation, the determining module is specifically configured to: According to different landslide types, a first algorithm for the relationship between the source area, source depth and source volume is obtained; A second algorithm for obtaining the relationship between the source volume and the accumulation volume; A third algorithm for obtaining the relationship between the volume of the accumulation body and the source area; The landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm.

[0050] In an optional implementation, the determining module is specifically configured to: When the landslide type is a linear sliding surface, the first algorithm is: ; in, The source volume of the landslide representing a linear sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide; When the landslide type is an arc-shaped sliding surface, the first algorithm is obtained according to the volume formula of a sphere and an ellipsoid, and the first algorithm is: ; in, The source volume of the landslide representing the arc-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide; When the landslide type is a wedge-shaped sliding surface, the first algorithm is obtained according to the volume formula of a cone. The first algorithm is: ; in, The source volume of the landslide representing the wedge-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide.

[0051] In an optional implementation, the determining module is specifically configured to: The second algorithm is: ; in, The source volume of the landslide representing all landslide types; Indicates the volume of the landslide accumulation; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0052] In an optional implementation, the determining module is specifically configured to: The third algorithm is: ; in, Indicates the volume of the landslide accumulation; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; the first regression coefficient and the second regression coefficient are obtained by regression calculation based on data of multiple real landslide accumulation volumes and landslide source areas.

[0053] In an optional implementation, the determining module is specifically configured to: By collecting data on the accumulation volume and material source area of ​​a plurality of real landslides, a third algorithm for the relationship between the accumulation volume and the material source area is obtained according to different geological types, wherein the geological types include rock landslide and soil landslide, and the third algorithm includes a first sub-algorithm and a second sub-algorithm; In the case where the geological type is rock landslide, the first sub-algorithm is: ; in, represents the accumulation volume of rock landslide; 0.2344 represents the first regression coefficient of rock landslide The value of is 0.2344; represents the source area of ​​the landslide; 1.41 represents the second regression coefficient of the rock landslide The value of is 1.41; When the geological type is soil landslide, the second sub-algorithm is: ; in, represents the accumulation volume of soil landslide; 0.2244 represents the first regression coefficient of soil landslide The value of is 0.2244; represents the source area of ​​the landslide; 1.262 represents the second regression coefficient of soil landslide The value of is 1.262.

[0054] In an optional implementation, the determining module is specifically configured to: In the case where the landslide type is a linear sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; In the case where the landslide type is an arc-shaped sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; In the case where the landslide type is a wedge-shaped sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0055] In an optional implementation, the determining module is specifically configured to: When the landslide type is a linear sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is an arc-shaped sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a wedge-shaped sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a linear sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is an arc-shaped sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a wedge-shaped sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ; in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

[0056] In an optional implementation, the acquisition module is specifically used to: When the source volume and the accumulation volume of the target landslide are determined, the volume expansion coefficient of the target landslide is obtained according to the second algorithm; In the case where the source volume and the accumulation volume of the target landslide are uncertain, determining whether there is a scraper on the target landslide; In the case where there is no scraper on the target landslide, obtaining the volume expansion coefficient of the target landslide according to the first interval value; In the case where there is a scraper on the target landslide, the volume expansion coefficient of the target landslide is obtained according to the second interval value, and the values ​​in the first interval value are all smaller than the values ​​in the second interval value.

[0057] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0058] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present application may adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the embodiments of the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0059] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0060] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0061] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0062] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present application.

[0063] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0064] The above is a detailed introduction to a calculation method and device for quickly estimating the depth of landslide source provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for a person skilled in the art, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for quickly estimating the depth of landslide source, characterized in that: include: Obtaining the material source area and volume expansion coefficient of the target landslide, wherein the volume expansion coefficient is a parameter reflecting the relationship between the volume of the landslide material source and the volume of the landslide accumulation body; Determine the landslide source depth algorithm corresponding to the target landslide according to the landslide type and geological type of the target landslide, wherein the landslide types include: linear sliding surface, arc sliding surface, and wedge sliding surface; The material source depth of the target landslide is calculated according to the material source area, the volume expansion coefficient and the landslide material source depth algorithm. The material source depth of the target landslide is the maximum depth in the normal direction of the landslide slope surface.

2. The method for rapidly estimating the depth of landslide source according to claim 1, characterized in that: The landslide source depth algorithm is calculated according to the following steps: According to different landslide types, a first algorithm for the relationship between the source area, source depth and source volume is obtained; A second algorithm for obtaining a relationship between the source volume and the accumulation volume; A third algorithm for obtaining the relationship between the volume of the accumulation body and the source area; The landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm.

3. The calculation method for rapidly estimating the depth of landslide source according to claim 2 is characterized in that: The first algorithm for obtaining the relationship between the source area, source depth and source volume according to different landslide types includes: When the landslide type is a linear sliding surface, the first algorithm is: ； in, The source volume of the landslide representing a linear sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide; When the landslide type is an arc-shaped sliding surface, the first algorithm is obtained according to the volume formula of a sphere and an ellipsoid, and the first algorithm is: ； in, The source volume of the landslide representing the arc-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide; When the landslide type is a wedge-shaped sliding surface, the first algorithm is obtained according to the volume formula of a cone. The first algorithm is: ； in, The source volume of the landslide representing the wedge-shaped sliding surface; Indicates the source area of ​​the landslide; Indicates the source depth of the landslide.

4. The method for rapidly estimating the depth of landslide source according to claim 2, characterized in that: The second algorithm for obtaining the relationship between the source volume and the accumulation volume includes: The second algorithm is: ； in, The source volume of the landslide representing all landslide types; Indicates the volume of the landslide accumulation; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

5. The calculation method for rapidly estimating the depth of landslide source according to claim 2 is characterized in that: The third algorithm for obtaining the relationship between the volume of the deposit and the source area includes: The third algorithm is: ； in, Indicates the volume of the landslide accumulation; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; the first regression coefficient and the second regression coefficient are obtained by regression calculation based on data of multiple real landslide accumulation volumes and landslide source areas.

6. The calculation method for rapidly estimating the depth of landslide source according to claim 5 is characterized in that: The method further comprises: By collecting data on the accumulation volume and material source area of ​​a plurality of real landslides, a third algorithm for the relationship between the accumulation volume and the material source area is obtained according to different geological types, wherein the geological types include rock landslide and soil landslide, and the third algorithm includes a first sub-algorithm and a second sub-algorithm; In the case where the geological type is rock landslide, the first sub-algorithm is: ； in, represents the accumulation volume of rock landslide; 0.2344 represents the first regression coefficient of rock landslide The value of is 0.2344; represents the source area of ​​the landslide; 1.41 represents the second regression coefficient of the rock landslide The value of is 1.41; When the geological type is soil landslide, the second sub-algorithm is: ； in, represents the accumulation volume of soil landslide; 0.2244 represents the first regression coefficient of soil landslide The value of is 0.2244; represents the source area of ​​the landslide; 1.262 represents the second regression coefficient of soil landslide The value of is 1.

262.

7. The calculation method for rapidly estimating the depth of landslide source according to claim 2 is characterized in that: The algorithm for calculating the landslide source depth according to the first algorithm, the second algorithm and the third algorithm includes: In the case where the landslide type is a linear sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; In the case where the landslide type is an arc-shaped sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; In the case where the landslide type is a wedge-shaped sliding surface, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; represents the first regression coefficient; Indicates the source area of ​​the landslide; represents the second regression coefficient; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

8. The method for rapidly estimating the depth of landslide source according to claim 6 is characterized in that: The algorithm for calculating the landslide source depth according to the first algorithm, the second algorithm and the third algorithm includes: When the landslide type is a linear sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is an arc-shaped sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a wedge-shaped sliding surface and the geological type is a rock landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a linear sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is an arc-shaped sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; The volume expansion coefficient representing the volume of the landslide source material to the volume of the accumulation body; When the landslide type is a wedge-shaped sliding surface and the geological type is a soil landslide, the landslide source depth algorithm is calculated according to the first algorithm, the second algorithm and the third algorithm. The landslide source depth algorithm is: ； in, Indicates the source depth of the landslide; Indicates the source area of ​​the landslide; It represents the volume expansion coefficient from the source volume of the landslide to the accumulation volume.

9. The calculation method for rapidly estimating the depth of landslide source according to claim 4 is characterized in that: The method of obtaining the source area and volume expansion coefficient of the target landslide includes: When the source volume and the accumulation volume of the target landslide are determined, the volume expansion coefficient of the target landslide is obtained according to the second algorithm; In the case where the source volume and the accumulation volume of the target landslide are uncertain, determining whether there is a scraper on the target landslide; In the case where there is no scraper on the target landslide, obtaining the volume expansion coefficient of the target landslide according to the first interval value; In the case where there is a scraper on the target landslide, the volume expansion coefficient of the target landslide is obtained according to the second interval value, and the values ​​in the first interval value are all smaller than the values ​​in the second interval value.

10. A computing device for rapidly estimating the depth of landslide source, characterized in that: include: An acquisition module, used to acquire the material source area and volume expansion coefficient of the target landslide, wherein the volume expansion coefficient is a parameter reflecting the relationship between the volume of the landslide material source and the volume of the landslide accumulation body; A determination module, used to determine the landslide source depth algorithm corresponding to the target landslide according to the landslide type and geological type of the target landslide, wherein the landslide types include: linear sliding surface, arc sliding surface, and wedge sliding surface; The calculation module is used to calculate the material source depth of the target landslide according to the material source area, the volume expansion coefficient and the landslide material source depth algorithm. The material source depth of the target landslide is the maximum depth in the normal direction of the landslide slope surface.

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