Geological disaster evaluation and treatment fund allocation method and device, and storage medium

Abstract

The application discloses a geological disaster evaluation and treatment fund distribution method and device and a storage medium, and comprises the following steps: S1, performing grid unit division according to basic data of a target region; S2, assigning values to each grid unit according to a susceptibility level, and obtaining a fuzzy danger level through a street-level average danger index and a fuzzy boundary; S3, drawing a fuzzy geological disaster level map, and marking a street-level fuzzy danger level, a CGCS2000 coordinate, a scale, and a data source; and S4, distributing treatment funds according to the fuzzy danger level. The technical scheme has the effects of retaining risk details and quantifying level errors.

Description

Technical Field

[0001] This invention belongs to the field of geological disaster risk assessment technology, specifically relating to a method and device for allocating funds for geological disaster assessment and mitigation, and a storage medium. Background Technology

[0002] In the current geological hazard assessment system, the susceptibility zoning maps (based on 1:50,000 / 1:10,000 scales) led by the Ministry of Natural Resources need to be converted into administrative district assessment maps by the emergency management department for use in allocating street-level governance funds. However, the existing conversion process has the following key problems: 1. Vague rating representation: Traditional ratings (extremely high / high / medium / low) only correspond to fixed index ranges (e.g., [0.5-1.5] is medium to low risk), and do not quantify the conversion error of "prone zoning map - administrative map", so decision-makers cannot identify the risk tolerance range of the rating boundaries; 2. Inaccurate allocation of funds: The existing method allocates funds based solely on traditional risk levels (e.g., only medium- and high-risk areas receive funding), resulting in administrative districts with one hotspot receiving no funding support, and administrative districts without hotspots being misclassified, leading to wasted funds. Furthermore, the proportion of funds allocated is poorly matched with the actual degree of disaster (e.g., the number of affected houses).

[0003] While existing technologies have standardized the evaluation process, they have not solved the problems of "quantifying conversion error" and "precise matching of funds." There is an urgent need for an evaluation and fund allocation method that can preserve risk details and quantify level errors. Summary of the Invention

[0004] To address the problems existing in the prior art, this invention provides a method and apparatus for allocating funds for geological disaster assessment and mitigation, as well as a storage medium.

[0005] To achieve the above objectives, the present invention provides the following solution: A method for allocating funds for geological hazard assessment and mitigation includes: Step S1: Divide the target area into grid cells based on the basic data. Step S2: Assign a value to the susceptibility level of each grid cell to obtain the fuzzy hazard level; Step S3: Draw a fuzzy geological hazard level map, and label the street-level fuzzy hazard level, CGCS2000 coordinates, scale, and data source; Step S4: Allocate governance funds according to the fuzzy hazard level.

[0006] Preferably, in step S1, the basic data for the target area includes: geological disaster susceptibility data, disaster-causing factor data, and administrative boundary data.

[0007] As a preferred option, in step S2, each grid cell is assigned a value according to its susceptibility level, and a fuzzy hazard level is obtained by using the street-level average hazard index and fuzzy boundaries.

[0008] This invention also provides a method for allocating funds for geological hazard assessment and mitigation, comprising: The first processing module is used to divide the target area into grid cells based on the basic data of the target area. The second processing module is used to assign a value to the susceptibility level of each grid cell to obtain a fuzzy hazard level; The third processing module is used to draw fuzzy geological hazard level maps and mark the street-level fuzzy hazard level, CGCS2000 coordinates, scale, and data source; The fourth processing module is used to allocate governance funds based on the fuzzy hazard level.

[0009] As a preferred option, the basic data for the target area includes: geological disaster susceptibility data: disaster-causing factor data, and administrative boundary data.

[0010] As a preferred option, the second processing module assigns a value to each grid cell according to its susceptibility level, and obtains a fuzzy hazard level through the street-level average hazard index and fuzzy boundaries.

[0011] The present invention also provides a storage medium storing a computer program, which executes a method for geological hazard assessment and allocation of remediation funds when running.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. Resolve the issue of high-risk information loss during the conversion from "Vulnerable Zoning Map" to "Administrative Region Map"; 2. Quantify the conversion error of geological hazard levels to achieve accurate characterization of hazard levels; 3. Construct a governance fund allocation model that matches the actual degree of disaster to avoid omissions and waste. Attached Figure Description

[0013] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a flowchart illustrating the geological disaster assessment and mitigation funding allocation method according to an embodiment of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0017] Example 1 like Figure 1 As shown, this invention provides a method for allocating funds for geological disaster assessment and mitigation, including: Step S1: Divide the target area into grid cells based on the basic data. Step S2: Assign a value to each grid cell according to its susceptibility level, and obtain the fuzzy hazard level through the street-level average hazard index and fuzzy boundary; Step S3: Draw a fuzzy geological hazard level map, and label the street-level fuzzy hazard level, CGCS2000 coordinates, scale, and data source; Step S4: Allocate governance funds according to the fuzzy hazard level.

[0018] As one embodiment of the present invention, in step S1, the basic data of the target area includes: geological disaster susceptibility data, disaster-causing factor data, and administrative boundary data; Furthermore, in step S1, the grid unit division is as follows: the general survey area adopts a 2×2km² standard grid, and the boundary is counted as 1 unit if it is less than 1 unit; the key survey area (towns / relocation sites) adopts a 0.5×0.5km² grid to ensure that the survey area is not less than 10km² for every 100km².

[0019] In one embodiment of the present invention, in step S2, the susceptibility level (low / low-medium / high-medium / high) of each grid cell is calculated and assigned values ​​according to Table 1. Table 1

[0020] Further, in step S2, the average risk index Hi of the administrative region is calculated: For the i-th street (secondary evaluation unit), count the total number N grid cells it contains. i and the number of grids g corresponding to each level. i1 (low risk), g i2 (Low to medium risk), g i3 (Medium-high risk), gi4 (High risk), calculated according to formula (1): (1) Among them, h im Assign a score to the m-th level of danger in administrative region i (e.g., low danger h). i1 =0, Low to Medium Risk i2 =1. Medium to high risk h i3 =2, High-risk h i3 =3); It represents the total number of level m hazardous grids in administrative region i.

[0021] Furthermore, determine the fuzzy boundary (lower boundary). Upper boundary ): Lower boundary α Hi Characterized by a level lower than the traditional H i The dangerous error, that is, within the administrative region, is below "H". i The number of grid cells corresponding to the danger level. Percentage of total grids The proportion is calculated according to formula (2): = / (2) upper boundary β Hi Characterized by a higher level than traditional H i The dangerous error, that is, within the administrative region, is higher than "H". i The proportion of grid cells corresponding to the danger level is calculated according to formula (3): = / (3) The final fuzzy danger is represented as (Hi, , ) .

[0022] Furthermore, construct fuzzy hazard levels. : Fuzzy hazard level representation is as follows = ( , , For example, “(Low-medium risk, 0.4, 0)” indicates that the traditional level is low-medium risk, with a lower boundary error of 0.4 and an upper boundary error of 0.

[0023] As one embodiment of the present invention, step S3 includes: Step S31: Create basic elements of the drawing: Base map: includes CGCS2000 coordinates, street administrative boundaries, water systems (level II and above), and inland lake boundaries; Rating labeling: Each street unit is labeled with a vague hazard level (e.g., " :(Medium-high risk, 0.3,0)”, where “7” is the street number; Auxiliary information: indicate the scale (1:50,000 for general survey areas, 1:10,000 for key survey areas), map source (e.g., report number from the Ministry of Natural Resources / Emergency Management Bureau), and data year.

[0024] Step S32, Drawing Verification: Comparing fuzzy grading maps with traditional grading maps, ensure that streets with a high-risk grid ratio of ≥5% are clearly marked with upper boundary errors in the fuzzy map (e.g., streets containing one high-risk point are marked). ≥0.2).

[0025] As one implementation of an embodiment of the present invention, step S4 includes: Step S41: Determine the capital allocation coefficient : Combining traditional hierarchies with fuzzy upper boundaries (The larger the upper boundary, the higher the risk error, and the more funds are needed), calculated according to formula (4): in, Assign values ​​to the traditional risk levels of streets (low risk = 1, low-to-medium risk = 2, medium-to-high risk = 3, high risk = 4). The highest level without funding support (generally considered low to medium risk). =2), where n is the total number of streets.

[0026] Step S42: Calculate the allocation amount: The total funding for this project comes from local government special funds.

[0027] Example 2 This invention also provides a geological disaster assessment and mitigation fund allocation device, comprising: The first processing module is used to divide the target area into grid cells based on the basic data of the target area. The second processing module is used to assign a value to the susceptibility level of each grid cell to obtain a fuzzy hazard level; The third processing module is used to draw fuzzy geological hazard level maps and mark the street-level fuzzy hazard level, CGCS2000 coordinates, scale, and data source; The fourth processing module is used to allocate governance funds based on the fuzzy hazard level.

[0028] As one embodiment of the present invention, the basic data of the target area includes: geological disaster susceptibility data, disaster-causing factor data, and administrative boundary data.

[0029] As one embodiment of the present invention, the second processing module assigns a value to each grid cell according to its susceptibility level, and obtains a fuzzy hazard level through the street-level average hazard index and fuzzy boundary.

[0030] Example 3 The present invention also provides a storage medium storing a computer program, which executes a method for geological hazard assessment and allocation of remediation funds when running.

[0031] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made to the technical solutions of the present invention by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for allocating funds for geological hazard assessment and mitigation, characterized in that, include: Step S1: Divide the target area into grid cells based on the basic data. Step S2: Assign a value to the susceptibility level of each grid cell to obtain the fuzzy hazard level; Step S3: Draw a fuzzy geological hazard level map, and label the street-level fuzzy hazard level, CGCS2000 coordinates, scale, and data source; Step S4: Allocate governance funds according to the fuzzy hazard level.

2. The method for allocating funds for geological disaster assessment and mitigation as described in claim 1, characterized in that, In step S1, the basic data for the target area includes: geological disaster susceptibility data: disaster-causing factor data, and administrative boundary data.

3. The method for allocating funds for geological disaster assessment and mitigation as described in claim 2, characterized in that, In step S2, each grid cell is assigned a value according to its susceptibility level, and a fuzzy hazard level is obtained by using the street-level average hazard index and fuzzy boundary.

4. A method for allocating funds for geological hazard assessment and mitigation, characterized in that, include: The first processing module is used to divide the target area into grid cells based on the basic data of the target area. The second processing module is used to assign a value to the susceptibility level of each grid cell to obtain a fuzzy hazard level; The third processing module is used to draw a fuzzy geological hazard level map and mark the street-level fuzzy hazard level, CGCS2000 coordinates, scale, and data source. The fourth processing module is used to allocate governance funds based on the fuzzy hazard level.

5. The geological disaster assessment and mitigation fund allocation device as described in claim 4, characterized in that, The basic data for the target area includes: geological disaster susceptibility data: disaster-causing factor data, and administrative boundary data.

6. The geological disaster assessment and mitigation fund allocation device as described in claim 5, characterized in that, The second processing module assigns a value to each grid cell according to its susceptibility level, and obtains a fuzzy hazard level through the street-level average hazard index and fuzzy boundaries.

7. A storage medium, characterized in that, The storage medium stores a computer program, which, when running, executes the geological hazard assessment and mitigation fund allocation method as described in any one of claims 1-3.

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