Mining area ecological geological environment bearing capacity evaluation method, device, equipment and medium

Abstract

The invention discloses a mining area ecological geological environment bearing capacity evaluation method and device, equipment and a medium, and relates to the field of ecological geological environment bearing capacity. The method comprises the following steps: establishing an ecological geological environment index system of a mining area; the ecological geological environment index system comprises a criterion layer and an index layer. The criterion layer comprises a geological environment subsystem, an ecological environment subsystem and a social economic environment subsystem. Obtaining the numerical value of each index factor in the index layer of the research mining area; determining the weight of each index factor in the index layer corresponding to the geological environment subsystem by adopting a random forest method; determining the weight of each index factor in the index layer corresponding to the ecological environment subsystem by adopting a CRITIC method; determining the weight of each index factor in the index layer corresponding to the social economic environment subsystem by adopting a variable coefficient method; and determining the ecological geological environment bearing capacity of the research mining area according to the numerical value and the weight of each index factor of the research mining area. According to the method, the applicability and accuracy of ecological geological environment bearing capacity evaluation can be improved.

Description

Technical Field

[0001] The present application relates to the field of ecological geological environment carrying capacity, and in particular to a method, device, equipment and medium for evaluating the ecological geological environment carrying capacity of a mining area. Background Art

[0002] The geological environment and the ecosystem together form a complete system, called the "ecological geological system", which constitutes the "ecological geological environment" relative to the human subject. The carrying capacity of the ecological geological environment refers to the ability to maintain the function of the ecological geological environment system in a specific period and specific area, under the established environmental goals, without changing the ecological structure and geological environment system, so that it can withstand the maximum impact and change of human activities and external forces, and ensure the sustainable development of the ecological geological environment system function.

[0003] The ecological geological environment carrying capacity system is an integration of the carrying capacity of the three subsystems of geological environment, ecological environment and socio-economic environment. Since the 1990s, Cross M et al. have proposed a new idea for environmental quality evaluation based on the natural unit classification system. In the 21st century, the evaluation method based on indicators has been widely used because of its simplicity, speed and strong interpretability. These studies have enriched the theory and methods of carrying capacity research. However, due to the large differences in the natural, social and economic conditions of each study area, the evaluation indicators are difficult to quantify, resulting in the low applicability of the results. There is no unified standard for weight determination, especially the lack of research on mining areas. For example, the hierarchical analysis method is prone to inaccurate indicator weights due to its strong subjectivity, complex consistency tests and insufficient information redundancy processing. Therefore, it is necessary to select more reasonable model methods for each subsystem for research. Summary of the invention

[0004] The purpose of this application is to provide a method, device, equipment and medium for evaluating the ecological geological environment carrying capacity of a mining area, which can improve the applicability and accuracy of the ecological geological environment carrying capacity evaluation.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In the first aspect, the present application provides a method for evaluating the ecological geological environment carrying capacity of a mining area, including: establishing an ecological geological environment indicator system for a mining area; the ecological geological environment indicator system includes a criterion layer and an indicator layer, and the criterion layer includes a geological environment subsystem, an ecological environment subsystem and a socio-economic environment subsystem; obtaining the numerical value of each indicator factor in the indicator layer of the study mining area; using the random forest method to determine the weight of each indicator factor in the indicator layer corresponding to the geological environment subsystem; using the CRITIC method to determine the weight of each indicator factor in the indicator layer corresponding to the ecological environment subsystem; using the coefficient of variation method to determine the weight of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem; and determining the ecological geological environment carrying capacity of the study mining area based on the numerical value and weight of each indicator factor in the indicator layer of the study mining area.

[0007] In the second aspect, the present application provides a mining area ecological geological environment carrying capacity evaluation device, including: an indicator system establishment module, an indicator value acquisition module, a first weight determination module, a second weight determination module, a third weight determination module and a comprehensive evaluation module.

[0008] The indicator system establishment module is used to establish the ecological geological environment indicator system of the mining area; the ecological geological environment indicator system includes a criterion layer and an indicator layer, and the criterion layer includes a geological environment subsystem, an ecological environment subsystem and a socio-economic environment subsystem. The indicator value acquisition module is used to obtain the numerical value of each indicator factor in the indicator layer of the study mining area. The first weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the geological environment subsystem using the random forest method. The second weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the ecological environment subsystem using the CRITIC method. The third weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem using the coefficient of variation method. The comprehensive evaluation module is used to determine the ecological geological environment carrying capacity of the study mining area according to the numerical value and weight of each indicator factor in the indicator layer of the study mining area.

[0009] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned method for evaluating the ecological and geological environment carrying capacity of a mining area.

[0010] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for evaluating the ecological and geological environment carrying capacity of a mining area.

[0011] According to the specific embodiments provided in this application, this application has the following technical effects:

[0012] The present application provides a method, device, equipment and medium for evaluating the ecological geological environment carrying capacity of a mining area. In view of the large differences in natural, social and economic conditions of various mining areas, a unified ecological geological environment indicator system is established. The indicator system includes three aspects: geological environment, ecological environment sub-system and socio-economic environment. The indicator system can be applied to various mining areas, thereby improving the applicability of ecological geological environment carrying capacity evaluation. Moreover, the random forest method can effectively handle the complex nonlinear relationship between geological environment indicator factors due to its low dependence on data. When calculating weights, the CRITIC method takes into account both the volatility of the data and the correlation between ecological environment indicator factors, thereby weakening the influence of highly correlated indicators and reducing information redundancy, thereby improving the reliability of indicator weights. Due to the large differences in indicator factors of the socio-economic environment subsystem, the coefficient of variation method can more accurately reflect the relative importance of each indicator factor, thereby ensuring the rationality of weight distribution. The comprehensive application of the random forest method, the CRITIC method and the coefficient of variation method improves the accuracy of ecological geological environment carrying capacity evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments 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 creative work.

[0014] Figure 1 A schematic diagram of a process for evaluating the ecological geological environment carrying capacity of a mining area provided in one embodiment of the present application;

[0015] Figure 2 A schematic diagram of an eco-geological environment indicator system provided for another embodiment of the present application;

[0016] Figure 3 A schematic diagram of the distribution of ecological geological environment carrying capacity of a mining area provided in another embodiment of the present application;

[0017] Figure 4 A schematic diagram of the obstacle degree of the ecological geological environment carrying capacity index factor of a mining area provided in another embodiment of the present application;

[0018] Figure 5 A schematic diagram of the coupling of the ecological geological environment carrying capacity and mineral resources of a mining area provided in one embodiment of the present application;

[0019] Figure 6 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0020] 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 only 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.

[0021] In order to make the above-mentioned objects, features and advantages of the present application more obvious and understandable, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0022] The research areas of ecological geological environmental carrying capacity usually select nature reserves, wetlands, urban areas and agricultural areas, etc. These areas have their own characteristics and are of great significance to the protection and sustainable development of the ecological environment. The evaluation of ecological geological environmental carrying capacity for mining areas is relatively lacking. Mining areas have a special research value because of the huge impact of mining activities on the geological and ecological environment. Ecological restoration, pollution control and land reclamation in mining areas have become the focus of research. The research results of mining areas have important guiding significance for actual ecological restoration and environmental management, and are helpful to formulate scientific mining area environmental protection and restoration plans and promote the sustainable development of mining areas. The evaluation of ecological geological environmental carrying capacity for mining areas not only enriches the research framework of ecological geological environmental carrying capacity in theory, but also provides practical solutions in practice. It has important research value and application prospects.

[0023] In view of this, this application conducts a comprehensive assessment of the ecological and geological environment of the mining area based on a variety of calculation models, providing a scientific reference for environmental protection and sustainable development of the mining area.

[0024] In an exemplary embodiment, Figure 1 As shown, a method for evaluating the ecological geological environment carrying capacity of a mining area is provided, comprising the following steps 101 to 106. Among them:

[0025] Step 101: Establishing an eco-geological environment indicator system for a mining area; the eco-geological environment indicator system includes a criterion layer and an indicator layer, and the criterion layer includes a geological environment subsystem, an ecological environment subsystem, and a socio-economic environment subsystem.

[0026] Step 102: Obtain the value of each indicator factor in the indicator layer of the research mining area.

[0027] Step 103: Use the random forest method to determine the weight of each indicator factor in the indicator layer corresponding to the geological environment subsystem.

[0028] Step 104: Use the CRITIC method to determine the weight of each indicator factor in the indicator layer corresponding to the ecological environment subsystem.

[0029] Step 105: Use the coefficient of variation method to determine the weight of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem.

[0030] Step 106: Determine the ecological geological environment carrying capacity of the research mining area according to the value and weight of each indicator factor in the indicator layer of the research mining area.

[0031] By implementing the above steps 101 to 106, the weight of each indicator is determined by comprehensively using the random forest method, the CRITIC method and the coefficient of variation method, so as to achieve a scientific, systematic and comprehensive evaluation of the ecological geological environment carrying capacity of the mining area.

[0032] In another exemplary embodiment of the present application, an eco-geological environment indicator system based on geological environment, ecological environment, and socio-economic environment is established, with a total of 21 indicators, such as Figure 2 The selection of these indicators refers to the research results of predecessors, and comprehensively considers the comprehensive principle, dominant principle, scientific and regional principle, objectivity principle, combination of qualitative and quantitative principle and inheritance principle, so as to ensure that the evaluation indicators can comprehensively, scientifically and objectively reflect the regional carrying capacity.

[0033] In one example, the indicator factors in the indicator layer corresponding to the geological environment subsystem include elevation, slope, surface cut degree, soil erodibility factor, fault distance, stratum lithology, seismic peak acceleration and geological disaster susceptibility.

[0034] In another example, the indicator factors in the indicator layer corresponding to the ecological environment subsystem include mining buffer zone, river buffer zone, average annual precipitation, average annual temperature, average annual evapotranspiration, water conservation, vegetation coverage and enhanced vegetation index (EVI).

[0035] In another example, the indicator factors in the indicator layer corresponding to the socio-economic environment subsystem include population density, GDP density, proportion of cultivated land area, proportion of built-up area and road buffer zone.

[0036] In another exemplary embodiment of the present application, in the geological environment subsystem, a random forest model (RF) is used to determine the weight of each indicator. Random forest is a combined deep learning method that combines regression tree, random selection and bagging algorithm, and has the advantage of processing nonlinear problems. This method has low requirements for operation data and can quantitatively provide the contribution rate and importance of the explanatory variable to the explained variable, thereby determining its weight. The specific steps are: use SPSSPRO software for data processing. Each factor is divided into five levels by natural break classification method or classification method by category.

[0037] In another exemplary embodiment of the present application, in the ecological environment subsystem, the CRITIC method is used to calculate the weight of each indicator. The CRITIC method determines the weight by comparing the strength and conflict indicators. The strength is expressed by the standard deviation, and the conflict is expressed by the correlation coefficient. The specific formula is as follows:

[0038]

[0039] Where: R kj Represents the correlation coefficient between the kth feature and the jth feature.

[0040]

[0041] Where: S j represents the inter-class standard deviation of the j-th feature, then the normalized weight of the j-th feature obtained by the CRITIC method is:

[0042]

[0043] The CRITIC method eliminates the influence of some highly correlated indicators, reduces the information overlap between indicators, and is conducive to obtaining more credible evaluation results.

[0044] In another exemplary embodiment of the present application, in the socio-economic environment subsystem, the coefficient of variation method is used to determine the weight of each indicator. The coefficient of variation method calculates the standard deviation and the average value of each indicator to obtain the coefficient of variation. The specific formula is as follows:

[0045]

[0046] Where σ i is the standard deviation of the ith indicator; is the average value of the i-th indicator; V i is the coefficient of variation of the i-th indicator; I i is the standard value of the ith indicator; W i is the weight of indicator i.

[0047] When the gap between the current value of each indicator and the target value is large, it means that it is difficult to achieve the target value for the indicator and a larger weight should be given; otherwise, a smaller weight should be given.

[0048] In another exemplary embodiment of the present application, after the weights are determined, the carrying capacity of each subsystem is comprehensively evaluated. The carrying capacity of the ecological environment subsystem is calculated using the TOPSIS method, and the specific steps are as follows:

[0049] 1. Calculate the distance Q between the i-th evaluation area and the optimal unit of each indicator i + , and the distance Q from the worst uniti - The formula is as follows:

[0050]

[0051] Q i + is the distance between the ith evaluation area and the optimal unit; Q i - is the distance between the ith evaluation area and the worst unit; W j is the weight of the jth indicator factor; k ij is the jth index factor value of the i-th evaluation area; k j max is the maximum score of the jth indicator factor; k j min is the minimum score of the jth index factor; the index factor can be called an evaluation index or a decision index.

[0052] 2. Calculate the closeness, the formula is as follows:

[0053]

[0054] T i This is the ecological carrying capacity score. The closer it is to 1, the stronger the ecological carrying capacity.

[0055] The carrying capacity of the geological environment subsystem and the socio-economic environment subsystem is evaluated using the weighted accumulation method.

[0056] SPSSPRO software was used for weight calculation and barrier calculation, and ArcGIS software was used for carrying capacity calculation.

[0057] In another exemplary embodiment of the present application, the above step 106 can be replaced by the following steps 201 to 205:

[0058] Step 201: Calculate the bearing capacity of the geological environment subsystem using a weighted accumulation method according to the weights and values ​​of the indicator factors in the indicator layer corresponding to the geological environment subsystem.

[0059] Step 202: Calculate the carrying capacity of the ecological environment subsystem using the TOPSIS method according to the weights and values ​​of the indicator factors in the indicator layer corresponding to the ecological environment subsystem.

[0060] Step 203: Calculate the carrying capacity of the socio-economic environment subsystem using the weighted accumulation method according to the weights and values ​​of the indicator factors in the indicator layer corresponding to the socio-economic environment subsystem.

[0061] Step 204: using the entropy weight method to determine the weight of the geological environment subsystem, the weight of the ecological environment subsystem, and the weight of the socio-economic environment subsystem in the criterion layer.

[0062] Step 205: According to the carrying capacity and weight of the geological environment subsystem, the carrying capacity and weight of the ecological environment subsystem, and the carrying capacity and weight of the socio-economic environment subsystem, the ecological geological environment carrying capacity of the research mining area is determined according to the formula Z=T1×W1+T2×W2+T3×W3.

[0063] Where Z is the ecological geological environment carrying capacity of the studied mining area, T1 is the carrying capacity of the geological environment subsystem, W1 is the weight of the geological environment subsystem, T2 is the carrying capacity of the ecological environment subsystem, W2 is the weight of the ecological environment subsystem, T3 is the carrying capacity of the socio-economic environment subsystem, and W3 is the weight of the socio-economic environment subsystem.

[0064] After comprehensively evaluating the carrying capacity of the ecological geological environment, the coupled mining sites are analyzed, and based on their carrying capacity levels, further assessments are made on the ability to sustain resource development and the necessity of ecological restoration.

[0065] In another exemplary embodiment of the present application, in order to identify the main factors affecting the ecological geological environment carrying capacity, after the above step 106, the method may further include the following steps 301 to 302. Among them:

[0066] Step 301: Calculate the obstacle degree of each indicator factor in the indicator layer using the obstacle degree model.

[0067] Step 302: The indicator factor with an obstacle degree greater than or equal to a preset threshold is taken as the main factor affecting the ecological geological environment carrying capacity.

[0068] The obstacle degree model calculates the obstacle degree of each indicator through the contribution and deviation of the factors. The specific formula is as follows:

[0069]

[0070] I j =1-x j ;

[0071]

[0072] In the formula, F j is the contribution of the j-th index factor, w j is the weight of the j-th indicator factor under the criterion layer, is the weight of the criterion layer to which the j-th indicator factor belongs, I j is the deviation of the jth index factor, x j is the normalized positive value of the j-th index factor, Pj is the obstacle degree of the j-th index factor.

[0073] After obtaining the main factors that affect the carrying capacity of the ecological geological environment, corresponding protection measures and suggestions can be proposed for these main factors.

[0074] This application provides a scientific, systematic and comprehensive ecological geological environment carrying capacity evaluation method by comprehensively considering the indicators of the three subsystems of geological environment, ecological environment and socio-economic environment, and combining multiple weight calculation and carrying capacity assessment methods. It is particularly suitable for the carrying capacity assessment of mining environment.

[0075] Taking a mining area rich in lithium and gold mines as an example, the ecological geological environment indicator system and indicator weights are shown in Table 1.

[0076] Table 1 Ecological geological environment indicator system and indicator weights

[0077]

[0078] The distribution results of the ecological geological environment carrying capacity of a mining area are as follows: Figure 3 shown.

[0079] The results of the ecological geological environment carrying capacity obstacle factor of a mining area are as follows: Figure 4 shown.

[0080] The distribution results of the comprehensive evaluation of the location of mining points and the carrying capacity of the ecological geological environment in a mining area are as follows: Figure 5 shown.

[0081] This application establishes an evaluation index system based on geological environment, ecological environment, and socio-economic environment. The random forest method, CRITIC method, and coefficient of variation method are used to determine the index weights, comprehensively evaluate the ecological geological environment carrying capacity, and use the obstacle model to evaluate the index factors to identify the main factors affecting the ecological geological environment carrying capacity. At the same time, the present invention is targeted and helps to scientifically plan and manage natural resources, promote regional sustainable development, prevent and mitigate ecological disasters, and ensure the harmonious coexistence of human society and the natural environment.

[0082] The random forest method can effectively handle the complex nonlinear relationship of geological environment indicator factors due to its low dependence on data, and provide feature importance analysis. This method has strong robustness and is insensitive to noise and outliers, so it performs well in geological environment indicator data processing. When calculating weights, the CRITIC method takes into account the volatility of the data and combines the correlation between ecological environment indicator factors, weakens the influence of highly correlated indicators, reduces information redundancy, and thus improves the reliability of indicator weights. For the socio-economic environment subsystem, due to the large differences in its indicator factors, the coefficient of variation method can more accurately reflect the relative importance of each indicator and ensure the rationality of weight distribution. The comprehensive application of these methods has improved the scientificity and accuracy of the evaluation of ecological geological environment carrying capacity.

[0083] Based on the same inventive concept, the embodiment of the present application also provides a mining area ecological geological environment carrying capacity evaluation device for implementing the mining area ecological geological environment carrying capacity evaluation method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more mining area ecological geological environment carrying capacity evaluation device embodiments provided below can refer to the limitations of the mining area ecological geological environment carrying capacity evaluation method above, and will not be repeated here.

[0084] In an exemplary embodiment, a mining area ecological geological environment carrying capacity evaluation device is provided, which includes: an indicator system establishment module, an indicator value acquisition module, a first weight determination module, a second weight determination module, a third weight determination module and a comprehensive evaluation module.

[0085] The indicator system establishment module is used to establish the ecological geological environment indicator system of the mining area; the ecological geological environment indicator system includes a criterion layer and an indicator layer, and the criterion layer includes a geological environment subsystem, an ecological environment subsystem and a socio-economic environment subsystem. The indicator value acquisition module is used to obtain the numerical value of each indicator factor in the indicator layer of the study mining area. The first weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the geological environment subsystem using the random forest method. The second weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the ecological environment subsystem using the CRITIC method. The third weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem using the coefficient of variation method. The comprehensive evaluation module is used to determine the ecological geological environment carrying capacity of the study mining area according to the numerical value and weight of each indicator factor in the indicator layer of the study mining area.

[0086] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 6As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the ecological geological environment carrying capacity of the research mining area. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for evaluating the ecological geological environment carrying capacity of a mining area is implemented.

[0087] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0088] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0089] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0090] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0091] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0092] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0093] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for evaluating the ecological geological environment carrying capacity of a mining area, characterized in that: include: Establishing an ecological geological environment indicator system for the mining area; the ecological geological environment indicator system includes a criterion layer and an indicator layer, and the criterion layer includes a geological environment subsystem, an ecological environment subsystem, and a socio-economic environment subsystem; Obtaining the values ​​of each indicator factor in the indicator layer of the research mining area; The random forest method is used to determine the weight of each indicator factor in the indicator layer corresponding to the geological environment subsystem; The CRITIC method is used to determine the weight of each indicator factor in the indicator layer corresponding to the ecological environment subsystem; The coefficient of variation method is used to determine the weight of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem; The ecological geological environment carrying capacity of the research mining area is determined based on the value and weight of each indicator factor in the indicator layer of the research mining area.

2. The method for evaluating the ecological geological environment carrying capacity of a mining area according to claim 1, characterized in that: The index factors in the index layer corresponding to the geological environment subsystem include elevation, slope, surface cut degree, soil erodibility factor, fault distance, stratum lithology, seismic peak acceleration and geological disaster susceptibility.

3. The method for evaluating the ecological geological environment carrying capacity of a mining area according to claim 1, characterized in that: The indicator factors in the indicator layer corresponding to the ecological environment subsystem include mining buffer zone, river buffer zone, average annual precipitation, average annual temperature, average annual evapotranspiration, water conservation, vegetation coverage and enhanced vegetation index.

4. The method for evaluating the ecological geological environment carrying capacity of a mining area according to claim 1, characterized in that: The indicator factors in the indicator layer corresponding to the socio-economic environment subsystem include population density, GDP density, proportion of cultivated land area, proportion of built-up area and road buffer zone.

5. The method for evaluating the ecological geological environment carrying capacity of a mining area according to claim 1, characterized in that: According to the values ​​and weights of each indicator factor in the indicator layer of the research mining area, the ecological geological environment carrying capacity of the research mining area is determined, including: According to the weights and values ​​of each indicator factor in the indicator layer corresponding to the geological environment subsystem, the bearing capacity of the geological environment subsystem is calculated using the weighted accumulation method; According to the weights and values ​​of each indicator factor in the indicator layer corresponding to the ecological environment subsystem, the carrying capacity of the ecological environment subsystem is calculated using the TOPSIS method; According to the weights and values ​​of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem, the carrying capacity of the socio-economic environment subsystem is calculated using the weighted accumulation method; The entropy weight method is used to determine the weight of the geological environment subsystem, the weight of the ecological environment subsystem and the weight of the socio-economic environment subsystem in the criterion layer; According to the carrying capacity and weight of the geological environment subsystem, the carrying capacity and weight of the ecological environment subsystem, and the carrying capacity and weight of the socio-economic environment subsystem, the ecological geological environment carrying capacity of the study mining area is determined according to the formula Z=T1×W1+T2×W2+T3×W3; where Z is the ecological geological environment carrying capacity of the study mining area, T1 is the carrying capacity of the geological environment subsystem, W1 is the weight of the geological environment subsystem, T2 is the carrying capacity of the ecological environment subsystem, W2 is the weight of the ecological environment subsystem, T3 is the carrying capacity of the socio-economic environment subsystem, and W3 is the weight of the socio-economic environment subsystem.

6. The method for evaluating the ecological geological environment carrying capacity of a mining area according to claim 1, characterized in that: According to the values ​​and weights of each indicator factor in the indicator layer of the research mining area, the ecological geological environment carrying capacity of the research mining area is determined, and then it also includes: Calculating the obstacle degree of each indicator factor in the indicator layer by using the obstacle degree model; The indicator factor with an obstacle degree greater than or equal to the preset threshold is regarded as the main factor affecting the carrying capacity of the ecological geological environment.

7. The method for evaluating the ecological geological environment carrying capacity of a mining area according to claim 6, characterized in that: The obstacle model is: I j =1-x j ; In the formula, F j is the contribution of the j-th index factor, w j is the weight of the j-th indicator factor under the criterion layer, is the weight of the criterion layer to which the j-th indicator factor belongs, I j is the deviation of the jth index factor, x j is the normalized positive value of the j-th index factor, P j is the obstacle degree of the j-th index factor.

8. A mining area ecological geological environment carrying capacity assessment device, characterized in that: The mining area ecological geological environment carrying capacity assessment device comprises: An indicator system establishment module is used to establish an ecological geological environment indicator system for a mining area; the ecological geological environment indicator system includes a criterion layer and an indicator layer, and the criterion layer includes a geological environment subsystem, an ecological environment subsystem, and a socio-economic environment subsystem; An indicator value acquisition module is used to obtain the value of each indicator factor in the indicator layer of the research mining area; The first weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the geological environment subsystem by using the random forest method; The second weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the ecological environment subsystem using the CRITIC method; The third weight determination module is used to determine the weight of each indicator factor in the indicator layer corresponding to the social economic environment subsystem by using the coefficient of variation method; The comprehensive evaluation module is used to determine the ecological geological environment carrying capacity of the research mining area according to the value and weight of each indicator factor in the indicator layer of the research mining area.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for evaluating the ecological geological environment carrying capacity of a mining area as described in any one of claims 1 to 7.

10. A 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 evaluating the ecological geological environment carrying capacity of a mining area described in any one of claims 1 to 7 is implemented.

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