Physical index statistical method for generating reservoir inundation range based on digital elevation model

Abstract

The invention discloses a physical index statistical method for generating a reservoir inundation range based on a digital elevation model. The method comprises the following steps: obtaining three-dimensional information data in a topographic map; obtaining an original digital elevation model by using the three-dimensional information data; performing section encryption on a local section interval in the original digital elevation model to obtain a local section encryption interval, and calculating a backwater section elevation corresponding to a backwater meter of the local section encryption interval; correcting the local section encryption interval by using the gradient data to obtain a corrected digital elevation model; and generating a design flood inundation line of each water level by using the corrected digital elevation model, obtaining each inundation water level and an inundation range of each flood standard, and then carrying out real object index statistics. According to the method, the topographic features of important ground features are fully considered, the drawing precision of different object submerging range lines is greatly improved, and the efficiency and precision of water conservancy and hydropower engineering construction land acquisition immigrant real object index statistics are remarkably improved.

Description

Technical Field

[0001] The present application belongs to the technical field of land acquisition and resettlement planning for water conservancy and hydropower engineering construction, and specifically relates to a statistical method for generating physical indicators of reservoir inundation range based on a digital elevation model. Background Art

[0002] According to the relevant specifications for land acquisition and resettlement for construction, different design flood standards for different objects result in the elevation of the reservoir flooding line not being a constantly changing value in different sections. The common statistical method for physical indicators of reservoir flooding is to manually judge and draw the flooding backwater line on the topographic map based on the backwater calculation results and sections of the design flood standards for different objects using CAD and other mapping software, and then judge and calculate the physical indicators of flooding impact by drawing the flooding backwater lines of different sections. There are also methods that generate DEM based on information such as contour lines and elevation points, directly partition DEM according to the design flood backwater section, extract the area below the flood backwater level as the backwater flooding area, and perform statistics on the flooded area and depth.

[0003] The existing methods mainly have the following problems: 1) Manually drawing the design flood backwater line for inundation treatment of different objects has large errors, is time-consuming and labor-intensive, and is difficult to control in terms of accuracy; 2) Manual statistics of physical indicators are inaccurate, and problems such as overlapping and missing spots occur during measurement; 3) Inundation lines are produced based on large-section cutting of DEM according to the design flood backwater results, without considering the terrain characteristics of important objects between large sections, resulting in poor accuracy of the produced inundation lines; 4) The statistical process is computationally cumbersome, the analysis time is long, and the efficiency is extremely low.

[0004] Therefore, there is an urgent need for a statistical method for physical indicators with high accuracy, comprehensive statistical results and high efficiency. Summary of the invention

[0005] In response to the above technical problems, the purpose of this application is to provide a method for generating physical indicators of reservoir inundation range based on digital elevation models. This method aims to quickly and accurately generate flood backwater lines of different design standards based on the importance of physical indicators affected by construction and land acquisition by interpolating backwater sections, and then count the types and quantities of physical indicators of different inundated objects under different reservoir water storage level schemes and different design floods. This method can greatly improve the efficiency and accuracy of drawing reservoir inundation range lines, reduce the input of manpower and material resources, solve the problem of errors and omissions when manually counting the number of physical indicator types, and also solve the problem of inaccurate drawing of inundation range lines in existing studies.

[0006] The technical solutions provided by this application are as follows:

[0007] In a first aspect, the present application provides a method for generating physical index statistics of reservoir flooding range based on a digital elevation model, comprising the following steps:

[0008] Obtain three-dimensional information data from topographic maps;

[0009] Using three-dimensional information data to obtain the original digital elevation model;

[0010] Densify the local section interval in the original digital elevation model to obtain the local section densification interval, and calculate the backwater section elevation corresponding to the backwater table of the local section densification interval;

[0011] The slope data is used to correct the local cross-section densification interval to obtain the corrected digital elevation model;

[0012] The modified digital elevation model is used to generate the design flood inundation lines for each water level, obtain the inundation range of each inundation water level and each flood standard, and then perform physical indicator statistics.

[0013] In a possible implementation, the three-dimensional information data includes three-dimensional point, line and surface data.

[0014] In a possible implementation, the method of obtaining the original digital elevation model using three-dimensional information data includes:

[0015] Convert three-dimensional information data into irregular triangulated network model;

[0016] The irregular triangulated network model is converted into a digital elevation model using bilinear interpolation.

[0017] In a possible implementation, the local cross-sectional area includes an area where the influencing objects are densely distributed;

[0018] The cross-section encryption method comprises:

[0019] Determine the two endpoints of the local section interval;

[0020] Determine the number of interpolation points;

[0021] Calculate the interval of interpolation points and interpolate according to the linear relationship of the cross section;

[0022] The interpolation point interval Δx = (x B -x A ) / (n+1);

[0023] The cross-sectional linear relationship is:

[0024] Endpoint A(x A ,y A ), endpoint B(x B ,y B ), x is the distance from the dam, y is the backwater section elevation corresponding to the backwater table, the subscript i represents the i-th point; n is the number of interpolated points.

[0025] In a possible implementation, the method of using slope data to correct the local cross-section densification interval to obtain a corrected digital elevation model includes:

[0026] Determine the distance L and slope α between the two points;

[0027] Calculate the vertical distance h; where h = L × tan (α);

[0028] Calculate the correction value using the following formula:

[0029]

[0030] Among them, H 修正 The latter indicates the corrected elevation value, H 修正 Before means the elevation value before correction;

[0031] The revised local section encrypted interval digital elevation model is used to partially replace the corresponding interval in the original digital elevation model to obtain a revised digital elevation model.

[0032] In a possible implementation, the method of using the modified digital elevation model to generate the design flood inundation line of each water level, obtaining the inundation range of each inundation water level and each flood standard, and then performing physical index statistics includes the following steps:

[0033] According to the design flood backwater results of each submerged object, the design flood inundation line of each submerged object is generated by using the revised digital elevation model and batch connected to form a topological surface to obtain the design flood inundation surface of each submerged object;

[0034] Based on the designed flood inundation surface of each inundated object, generate the expropriation lines for cultivated and garden land, forest land, grassland and other agricultural land, and resident migration lines with different inundation water level schemes and different designed flood standards;

[0035] The cultivated land acquisition line, forest land, grassland and other agricultural land acquisition line are respectively superimposed with the third national land survey vector data to obtain the second data information; and the resident migration line is superimposed with the housing vector data to obtain the third data information;

[0036] Based on the second data information, obtaining the physical indicators of land in different regions; based on the third data information, obtaining the physical indicators of housing building area in different regions;

[0037] Statistical summary generates a summary table of physical indicators by region.

[0038] In a second aspect, the present application provides a physical indicator statistical device for generating a reservoir flooding range based on a digital elevation model, including:

[0039] A data acquisition module, used to obtain three-dimensional information data in a topographic map;

[0040] A conversion module, used for obtaining an original digital elevation model using three-dimensional information data;

[0041] The encryption module is used to encrypt the local section interval in the original digital elevation model to obtain the local section encryption interval, and calculate the backwater section elevation corresponding to the backwater table of the local section encryption interval;

[0042] A correction module is used to correct the local section interval using the slope data to obtain a corrected digital elevation model;

[0043] The statistical module is used to generate the design flood inundation line of each water level using the revised digital elevation model, obtain the inundation range of each inundation water level and each flood standard, and then perform statistics on physical indicators.

[0044] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for generating physical indicator statistics of a reservoir inundation range based on a digital elevation model as described in the first aspect is implemented.

[0045] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for generating physical indicator statistics of a reservoir inundation range based on a digital elevation model as described in the first aspect.

[0046] In a fifth aspect, a computer program product includes a computer program, which, when executed by a processor, implements the method for generating physical indicator statistics of a reservoir inundation range based on a digital elevation model as described in the first aspect.

[0047] The beneficial effects of this application are as follows:

[0048] The method described in the present application can fully consider the topographic features of important landforms, determine the location and elevation of encrypted sections through interpolation, and greatly improve the drawing accuracy of the flooding range lines of different objects; utilize the spatial overlay and statistical summary of layers to significantly improve the efficiency and accuracy of the statistics of physical indicators of land acquisition and resettlement for water conservancy and hydropower project construction, which can greatly reduce the manpower input and avoid human influence when drawing the flooding backwater line. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is the work flow chart of the present invention.

[0050] Figure 2 The DEM result map is generated from the TIN model.

[0051] Figure 3 To densify the local section interval and calculate the backwater section elevation corresponding to the backwater table.

[0052] Figure 4 To modify the original digital elevation model of the local section interval using slope data.

[0053] Figure 5 The inundation range surfaces of different scenarios and different design floods generated for several cross-section DEMs.

[0054] Figure 6 The inundation range of different scenarios and designed floods is superimposed on the third national land survey data to quickly obtain the land patch area, land type and ownership unit of the inundated area.

[0055] Figure 7 The present invention provides a schematic structural diagram of a device for generating physical index statistics of a reservoir flooding range based on a digital elevation model.

[0056] Figure 8 This is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0057] The technical solution provided by the present application is further described in detail below through examples and in combination with the accompanying drawings. The content of the present application is not limited thereto.

[0058] See also Figure 1 , which is a statistical method for generating physical indicators of reservoir inundation range based on digital elevation model, includes the following steps:

[0059] S100, obtaining three-dimensional information data of a topographic map.

[0060] In a possible implementation, in S100, the three-dimensional information data includes three-dimensional point, line and surface data.

[0061] Furthermore, the three-dimensional point, line and surface data include contour lines and elevation points of land features, such as linear water systems and surface water systems with three-dimensional attributes and contour lines and elevation points of linear roads and surface roads with three-dimensional attributes.

[0062] S200, obtaining an original digital elevation model using the three-dimensional information data.

[0063] In a possible implementation, S200 includes the following steps:

[0064] S210, converting the three-dimensional data into an irregular triangulated network model (abbreviated as TIN);

[0065] S220, using bilinear interpolation method, converts the irregular triangulated network model into a digital elevation model (abbreviated as DEM).

[0066] In a possible implementation, the bilinear interpolation method is: given the three-dimensional coordinates of four adjacent points and the distance between the unknown point and the known point, the value of an unknown point on the plane is determined by taking a distance-weighted average of the values ​​of the four points. The details are as follows:

[0067] (1) Divide the plane into small rectangular areas. Four known points form a rectangle. Assume that the four known points are (x1, y1, z1), (x2, y1, z2), (x1, y2, z3), (x2, y2, z4), and the coordinates of the point to be found are (x, y);

[0068] (2) Linear interpolation in the x direction:

[0069] First, interpolate on the horizontal line y=y1 to obtain the interpolation result f(x,y1) at the point (x,y1).

[0070] The calculation formula is: f(x,y1)=(x2-x) / (x2-x1)*z1+(x-x1) / (x2-x1)*z2.

[0071] It should be noted that this step is to perform a weighted average of z1 and z2 based on the distance ratio from the point (x, y1) to (x1, y1) and (x2, y1).

[0072] Similarly, interpolation is performed on the horizontal line y=y2 to obtain the interpolation result f(x, y2) at the point (x, y2).

[0073] The calculation formula is: f(x,y2)=(x2-x) / (x2-x1)*z3+(x-x1) / (x2-x1)*z4.

[0074] (3) Perform linear interpolation in the y direction:

[0075] According to the distance ratio from point (x,y) to (x,y1) and (x,y2), f(x,y1) and f(x,y2) are weighted averaged to obtain the final interpolation result z at point (x,y).

[0076] The calculation formula is z = (y2-y) / (y2-y1)*f(x,y1)+(y-y1) / (y2-y1)*f(x,y2).

[0077] S300, performing section densification on the local section interval of the original digital elevation model to obtain the local section densification interval, and calculating the backwater section elevation corresponding to the backwater table of the local section densification interval.

[0078] In a possible implementation, in S300, the local cross-sectional area includes an area where the influencing objects are densely distributed.

[0079] It should be noted that the affected objects are important physical indicators flooded by the reservoir, including cultivated land, houses, etc.

[0080] In a possible implementation, in S300, the section encryption method includes:

[0081] Determine the two endpoints of the local section interval;

[0082] Determine the number of interpolation points;

[0083] Calculate the interval of interpolation points and interpolate according to the linear relationship of the cross section;

[0084] The interpolation point interval Δx = (x B -x A ) / (n+1);

[0085] The cross-sectional linear relationship is:

[0086] Endpoint A(x A ,y A ), endpoint B(x B ,y B ), x is the distance from the dam, y is the backwater section elevation corresponding to the backwater table, the subscript i represents the i-th point, i = 1, 2, ... n; n is the number of interpolated points.

[0087] Understandably, the DEM generated by contour lines and scattered points fails to fully reflect the elevation information of important objects affected by reservoir inundation in flat areas (such as farmland, houses, etc.), resulting in omissions in the statistics of physical indicators of immigrants, affecting the accuracy of physical statistics. Therefore, in order to improve the accuracy of statistics, it is necessary to plan and design large flood sections, compare the existing topographic map data, and select areas with more physical indicators and flatter terrain for cross-section encryption based on the terrain slope and the degree of change in the design flood backwater elevation, in the section intervals where important objects such as farmland and residential areas are densely distributed. Figure 3 As shown,

[0088] S400, using the slope data to correct the local section densification interval to obtain a corrected digital elevation model.

[0089] In a possible implementation, S400 includes the following sub-steps:

[0090] Determine the distance L and slope α between the two points;

[0091] Calculate the vertical distance h; where h = L × tan (α);

[0092] Calculate the correction value using the following formula:

[0093]

[0094] Among them, H 修正后 Indicates the corrected elevation value, H 修正前 Indicates the elevation value before correction;

[0095] The revised local section densification interval is used to partially replace the corresponding interval in the original digital elevation model to obtain a revised digital elevation model.

[0096] S500, using the modified digital elevation model to generate the design flood inundation line of each water level, obtain the inundation range of each inundation water level and each flood standard, and then conduct physical statistics.

[0097] In a possible implementation, S500 includes the following sub-steps:

[0098] According to the design flood backwater results of each submerged object, the design flood inundation line of each submerged object is generated by using the revised digital elevation model and batch connected to form a topological surface to obtain the design flood inundation surface of each submerged object;

[0099] Based on the designed flood inundation surface of each inundated object, generate the expropriation lines for cultivated and garden land, forest land, grassland and other agricultural land, and resident migration lines with different inundation water level schemes and different designed flood standards;

[0100] The cultivated land acquisition line, forest land, grassland and other agricultural land acquisition line are respectively superimposed with the third national land survey vector data to obtain the second data information; and the resident migration line is superimposed with the housing vector data to obtain the third data information;

[0101] Based on the second data information, obtaining the physical indicators of land in different regions; based on the third data information, obtaining the physical indicators of housing building area in different regions;

[0102] Statistical summary generates a summary table of physical indicators by region.

[0103] Furthermore, the submerged objects include cultivated land, gardens, forests, land, grasslands and other agricultural land.

[0104] Furthermore, the different flooding water level schemes refer to different normal water storage levels.

[0105] Furthermore, the flood standard is the flood recurrence period.

[0106] Furthermore, data overlay, analysis and statistics were completed using geographic information software (such as ArcGIS, QGIS and MapMatrix).

[0107] The following is an explanation with reference to specific embodiments.

[0108] Take the design of a normal water storage level of 977m for a hydropower station on a certain river as an example. Extract effective three-dimensional point, line and surface data, such as contour lines and elevation points, from the 1:2000 scale topographic map data on both sides of the river. Use geographic information software to convert the extracted data into an irregular triangulated network (TIN), and then convert it into a digital elevation model through the TIN model. Figure 2 shown.

[0109] Through the data fusion function of geographic information software, the existing "cultivated land", "garden land", "residential land" and other map spots are extracted and fused. By comparing the design flood backwater results table, it is found that the locations with large backwater elevation changes in cultivated land (once in 5 years) and residential migration lines (once in 20 years) are mainly concentrated between several sections W59-W106 corresponding to the tail of the reservoir area. Between these large sections, the sections where the above-mentioned important land features exist are selected for interpolation, such as Figure 3 As shown in the figure, the backwater section elevation corresponding to the backwater table at the encrypted section is calculated, such as the backwater section elevation of section 63-1 is 978.44m. The original DEM of the local section interval is corrected by superimposing the slope data, such as Figure 4 As shown in the figure, point A is raised to get point A', and point B is lowered to get point B'. Different design flood inundation lines are generated according to different planned section elevations, and topological surface construction is performed to obtain closed areas such as farmland inundation lines, resident migration inundation lines, and normal water storage levels with different design flood standards under different inundation water level schemes of the hydropower station, as shown in the figure below. Figure 5 shown.

[0110] The Overlay function of geographic information software is used to overlay the topological surface of cultivated garden land acquisition under different normal water storage level schemes with the land survey data, and quickly extract the land map layer with scheme number, flooding range, different land type names and area attributes. Then the statistical summary function is used to generate a summary table of land physical indicators by region and land type, such as Figure 6 .

[0111] The method described in this embodiment is simple and easy to operate, which greatly shortens the basic data acquisition cycle and improves the accuracy of data statistics, is conducive to the rapid decision-making and advancement of engineering projects, and at the same time provides solid data support for the comparison and selection of water conservancy and hydropower engineering schemes.

[0112] The physical indicator statistical device for generating a reservoir inundation range based on a digital elevation model provided by the present invention is described below. The physical indicator statistical device for generating a reservoir inundation range based on a digital elevation model described below and the physical indicator statistical method for generating a reservoir inundation range based on a digital elevation model described above can be referenced to each other.

[0113] Figure 7 is a schematic diagram of the structure of a device for generating physical index statistics of a reservoir flooding range based on a digital elevation model provided by an embodiment of the present invention, such as Figure 7 As shown, it includes: a data acquisition module 71, a conversion module 72, an encryption module 73, a correction module 74, and a statistical module 75, wherein:

[0114] A data acquisition module 71 is used to obtain three-dimensional information data in a topographic map;

[0115] A conversion module 72, for obtaining an original digital elevation model using the three-dimensional data;

[0116] The encryption module 73 is used to encrypt the local section interval in the original digital elevation model to obtain the encrypted local section interval, and calculate the backwater section elevation corresponding to the backwater table of the encrypted local section interval;

[0117] The correction module 74 is used to correct the local cross-section densification interval using the slope data to obtain a corrected digital elevation model;

[0118] The statistical module 75 is used to generate different design flood inundation lines using the modified digital elevation model, obtain the inundation water level and the inundation range of each flood standard, and then perform physical index statistics.

[0119] Figure 8 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 8 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute a physical indicator statistical method for generating a reservoir flooding range based on a digital elevation model.

[0120] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0121] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the statistical method of generating physical indicators of the reservoir inundation range based on the digital elevation model provided by the above-mentioned methods.

[0122] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the statistical method for generating physical indicators of reservoir inundation range based on a digital elevation model provided by the above-mentioned methods.

[0123] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0124] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0125] 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 make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A statistical method for generating physical indicators of reservoir inundation range based on a digital elevation model, characterized in that: The following steps are involved: Obtain three-dimensional information data from topographic maps; Using three-dimensional information data to obtain the original digital elevation model; Densify the local section interval in the original digital elevation model to obtain the local section densification interval, and calculate the backwater section elevation corresponding to the backwater table of the local section densification interval; The slope data is used to correct the local cross-section densification interval to obtain the corrected digital elevation model; The modified digital elevation model is used to generate the design flood inundation lines for each water level, obtain the inundation range of each inundation water level and each flood standard, and then perform physical indicator statistics.

2. The method for generating physical index statistics of reservoir flooding range based on digital elevation model according to claim 1 is characterized in that: The three-dimensional information data includes three-dimensional point, line and surface data.

3. The method for generating physical index statistics of reservoir flooding range based on digital elevation model according to claim 1 is characterized in that: The method for obtaining the original digital elevation model using three-dimensional information data comprises: Convert three-dimensional information data into irregular triangulated network model; The irregular triangulated network model is converted into a digital elevation model using bilinear interpolation.

4. The method for generating physical index statistics of reservoir flooding range based on digital elevation model according to claim 1 is characterized in that: The local cross-sectional interval includes an interval where the affected objects are densely distributed; The cross-section encryption method comprises: Determine the two endpoints of the local section interval; Determine the number of interpolation points; Calculate the interval of interpolation points and interpolate according to the linear relationship of the cross section; The interpolation point interval Δx = (x B -x A ) / (n+1); The cross-sectional linear relationship is: Endpoint A(x A ,y A ), endpoint B(x B ,y B ), x is the distance from the dam, y is the backwater section elevation corresponding to the backwater table, the subscript i represents the i-th point; n is the number of interpolated points.

5. The method for generating physical index statistics of reservoir flooding range based on digital elevation model according to claim 1 is characterized in that: The method of using slope data to correct the local cross-section densification interval to obtain a corrected digital elevation model includes: Determine the distance L and slope α between the two points; Calculate the vertical distance h; where h = L × tan (α); Calculate the correction value using the following formula: Among them, H 修正后 Indicates the corrected elevation value, H 修正前 Indicates the elevation value before correction; The revised local section densification interval is used to partially replace the corresponding interval in the original digital elevation model to obtain a revised digital elevation model.

6. The method for generating physical index statistics of reservoir flooding range based on digital elevation model according to claim 1 is characterized in that: The method of using the modified digital elevation model to generate the design flood inundation line of each water level, obtaining the inundation range of each inundation water level and each flood standard, and then performing physical index statistics includes the following steps: According to the design flood backwater results of each submerged object, the design flood inundation line of each submerged object is generated by using the revised digital elevation model and batch connected to form a topological surface to obtain the design flood inundation surface of each submerged object; Based on the designed flood inundation surface of each inundated object, generate the expropriation lines for cultivated and garden land, forest land, grassland and other agricultural land, and resident migration lines with different inundation water level schemes and different designed flood standards; The cultivated land acquisition line, forest land, grassland and other agricultural land acquisition line are respectively superimposed with the third national land survey vector data to obtain the second data information; and the resident migration line is superimposed with the housing vector data to obtain the third data information; Based on the second data information, obtaining the physical indicators of land in different regions; based on the third data information, obtaining the physical indicators of housing building area in different regions; Statistical summary generates a summary table of physical indicators by region.

7. A device for generating physical index statistics of reservoir flooding range based on a digital elevation model, characterized in that: include: A data acquisition module, used to obtain three-dimensional information data in a topographic map; A conversion module, used for obtaining an original digital elevation model using three-dimensional information data; The encryption module is used to encrypt the local section interval in the original digital elevation model to obtain the local section encryption interval, and calculate the backwater section elevation corresponding to the backwater table of the local section encryption interval; A correction module is used to correct the local section interval using the slope data to obtain a corrected digital elevation model; The statistical module is used to generate the design flood inundation line of each water level using the revised digital elevation model, obtain the inundation range of each inundation water level and each flood standard, and then perform statistics on physical indicators.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for generating physical indicator statistics of the reservoir flooding range based on the digital elevation model as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for generating physical indicator statistics of a reservoir flooding range based on a digital elevation model as described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for generating physical indicator statistics of a reservoir flooding range based on a digital elevation model as described in any one of claims 1 to 6 is implemented.

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