A mine ecological geological environment carrying capacity evaluation method, device, equipment and medium

Abstract

The application discloses a kind of mine ecological geology environment carrying capacity evaluation method, device, equipment and medium, it is related to ecological geology environment carrying capacity field.The method includes establishing the ecological geology environment index system of mine;Ecological geology environment index system includes criterion layer and index layer, criterion layer includes geology environment subsystem, ecological environment subsystem and social and economic environment subsystem;The numerical value of each index factor in the index layer of research mine is obtained;The weight of each index factor in the index layer corresponding to geology environment subsystem is determined using random forest method;The weight of each index factor in the index layer corresponding to ecological environment subsystem is determined using CRITIC method;The weight of each index factor in the index layer corresponding to social and economic environment subsystem is determined using variation coefficient method;According to the numerical value and weight of each index factor of research mine, the ecological geology environment carrying capacity of research mine is determined.The application can improve the applicability and accuracy of ecological geology environment carrying capacity evaluation.

Description

Technical Field

[0001] This application relates to the field of ecological geological environment carrying capacity, and in particular to a method, apparatus, equipment and medium for evaluating the ecological geological environment carrying capacity of mining areas. Background Technology

[0002] The geological environment and ecosystem together constitute a complete system called the "ecological geological system," which, relative to the human body, constitutes the "ecological geological environment." Ecological geological environment carrying capacity refers to the ability of the ecological geological environment system to maintain its function within a specific period and region, under predetermined environmental objectives, without altering the ecological structure and geological environment system, enabling it to withstand the maximum impact and changes from human activities and external forces, thus ensuring the sustainable development of the ecological geological environment system's functions.

[0003] The ecological geological environment carrying capacity system is an integration of the carrying capacity of three subsystems: geological environment, ecological environment, and socio-economic environment. Since the 1990s, Cross M et al. proposed a new approach to environmental quality assessment based on a hierarchical system of natural units. In the 21st century, index-based evaluation methods have been widely used due to their simplicity, speed, and strong interpretability. These studies have enriched the theory and methods of carrying capacity research. However, due to the significant differences in the natural, social, and economic conditions of various study areas, evaluation indicators are difficult to quantify, leading to limited applicability of the results. Furthermore, there is no unified standard for determining weights, especially regarding research on mining areas. For example, the analytic hierarchy process (AHP) suffers from drawbacks such as strong subjectivity, complex consistency checks, and insufficient handling of information redundancy, which can easily lead to inaccurate index weights. Therefore, it is necessary to select more reasonable model methods for each subsystem in the research. Summary of the Invention

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

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

[0006] Firstly, this application provides a method for evaluating the carrying capacity of the ecological and geological environment of a mining area, comprising: establishing an ecological and geological environment index system for the mining area; the ecological and geological environment index system includes a criterion layer and an index layer, wherein the criterion layer includes a geological environment subsystem, an ecological environment subsystem, and a socio-economic environment subsystem; obtaining the values ​​of each index factor in the index layer of the mining area under study; determining the weights of each index factor in the index layer corresponding to the geological environment subsystem using the random forest method; determining the weights of each index factor in the index layer corresponding to the ecological environment subsystem using the CRITIC method; determining the weights of each index factor in the index layer corresponding to the socio-economic environment subsystem using the coefficient of variation method; and determining the ecological and geological environment carrying capacity of the mining area under study based on the values ​​and weights of each index factor in the index layer of the mining area under study.

[0007] Secondly, this application provides a mining area ecological geological environment carrying capacity evaluation device, including: an index system establishment module, an index 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 system comprises three modules: an indicator system establishment module for establishing an ecological and geological environment indicator system for the mining area; the indicator system includes a criterion layer and an indicator layer, with the criterion layer comprising a geological environment subsystem, an ecological environment subsystem, and a socio-economic environment subsystem; an indicator value acquisition module for acquiring the values ​​of each indicator factor in the indicator layer of the mining area; a first weight determination module for determining the weights of each indicator factor in the indicator layer corresponding to the geological environment subsystem using the random forest method; a second weight determination module for determining the weights of each indicator factor in the indicator layer corresponding to the ecological environment subsystem using the CRITIC method; and a third weight determination module for determining the weights of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem using the coefficient of variation method. Finally, a comprehensive evaluation module for determining the ecological and geological environment carrying capacity of the mining area based on the values ​​and weights of each indicator factor in the indicator layer of the mining area.

[0009] Thirdly, this application provides a computer device, including: 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-described method for evaluating the carrying capacity of the ecological geological environment of mining areas.

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

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

[0012] This application provides a method, apparatus, equipment, and medium for evaluating the ecological and geological environmental carrying capacity of mining areas. Addressing the significant differences in natural, social, and economic conditions across various mining areas, a unified ecological and geological environmental indicator system is established. This system encompasses three aspects: geological environment, ecological environment, and socio-economic environment. This indicator system is applicable to all mining areas, improving the applicability of the ecological and geological environmental carrying capacity evaluation. Furthermore, the random forest method, due to its low dependence on data, can effectively handle the complex nonlinear relationships between geological environment indicator factors. The CRITIC method, when calculating weights, considers both data volatility and the correlation between ecological environment indicator factors, weakening the influence of highly correlated indicators and reducing information redundancy, thereby improving the reliability of indicator weights. Due to the significant differences in indicator factors within the socio-economic environment subsystem, the coefficient of variation method can more accurately reflect the relative importance of each indicator factor, ensuring the rationality of weight allocation. The comprehensive application of the random forest method, the CRITIC method, and the coefficient of variation method improves the accuracy of the ecological and geological environmental carrying capacity evaluation. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 A flowchart illustrating a method for evaluating the carrying capacity of the ecological and geological environment of a mining area, provided as an embodiment of this application;

[0015] Figure 2 A schematic diagram of an ecological geological environment index system provided for another embodiment of this application;

[0016] Figure 3 This is a schematic diagram of the distribution of ecological and geological carrying capacity in a mining area, provided as another embodiment of this application.

[0017] Figure 4 A schematic diagram of the obstacle degree, an indicator factor of the ecological geological environment carrying capacity of a mining area, provided as another embodiment of this application;

[0018] Figure 5 A schematic diagram illustrating the coupling of ecological geological environment carrying capacity with mineral resources in a mining area, provided as an embodiment of this application;

[0019] Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] Studies on the carrying capacity of the ecological and geological environment typically select areas such as nature reserves, wetlands, urban areas, and agricultural areas. These areas each have unique characteristics and are of great significance for ecological environment protection and sustainable development. Ecological and geological environment carrying capacity assessments of mining areas are relatively lacking. Mining areas, due to the significant impact of mining activities on the geological and ecological environment, possess unique research value. Ecological restoration, pollution control, and land reclamation in mining areas have become research focuses. Research findings on mining areas have important guiding significance for practical ecological restoration and environmental management, helping to formulate scientific environmental protection and restoration plans for mining areas and promoting their sustainable development. Ecological and geological environment carrying capacity assessments of mining areas not only enrich the theoretical framework of ecological and geological environment carrying capacity research but also provide practical and feasible solutions, possessing significant 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 multiple calculation models, providing a scientific reference for the environmental protection and sustainable development of the mining area.

[0024] In one exemplary embodiment, such as Figure 1 As shown, a method for evaluating the carrying capacity of the ecological geological environment of a mining area is provided, including the following steps 101 to 106. Wherein:

[0025] Step 101: Establish 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.

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

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

[0028] Step 104: Use the CRITIC method to determine the weights 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 weights of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem.

[0030] Step 106: Determine the ecological and geological carrying capacity of the study mining area based on the values ​​and weights of each indicator factor in the indicator layer of the study mining area.

[0031] By implementing steps 101 to 106 above, the weights of each indicator are determined by comprehensively applying the random forest method, the CRITIC method, and the coefficient of variation method, thereby achieving a scientific, systematic, and comprehensive evaluation of the carrying capacity of the ecological and geological environment of the mining area.

[0032] In another exemplary embodiment of this application, an ecological geological environment indicator system is established based on three aspects: geological environment, ecological environment, and socio-economic environment, comprising a total of 21 indicators, such as... Figure 2 As shown. The selection of these indicators referenced previous research findings and comprehensively considered the principles of comprehensiveness, dominance, scientific rigor and regionality, objectivity, a combination of qualitative and quantitative methods, and continuity, to ensure that the evaluation indicators can comprehensively, scientifically, and objectively reflect the regional carrying capacity status.

[0033] In one example, the index factors in the index layer corresponding to the geological environment subsystem include elevation, slope, surface incision degree, soil erodibility factor, fault distance, stratigraphic lithology, peak ground acceleration, and susceptibility to geological hazards.

[0034] In another example, the indicator factors in the indicator layer corresponding to the ecological environment subsystem include the mineral deposit buffer zone, river buffer zone, average annual precipitation, average annual temperature, average annual evapotranspiration, water conservation, vegetation cover, 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, cultivated land area ratio, construction area ratio, and road buffer zone.

[0036] In another exemplary embodiment of this application, a Random Forest (RF) model is used to determine the weights of each indicator in the geological environment subsystem. Random Forest is a combined deep learning method that combines regression trees, random selection, and bagging algorithms, offering advantages in handling nonlinear problems. This method has low requirements for computational data and can quantitatively provide the contribution rate and importance of explanatory variables to the explained variable, thereby determining their weights. The specific steps are as follows: Data processing is performed using SPSSPRO software. Each factor is divided into five levels using either a natural discontinuity grading method or a categorical classification method.

[0037] In another exemplary embodiment of this application, the CRITIC method is used to calculate the weights of each indicator in the ecological environment subsystem. The CRITIC method determines the weights using contrast strength and conflict indices. Contrast strength is represented by standard deviation, and conflict is represented by correlation coefficient. The specific formula is as follows:

[0038]

[0039] In the formula: R kj This represents the correlation coefficient between the k-th feature and the j-th feature.

[0040]

[0041] In the formula: S j Let represent 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 and reduces the overlap of information between indicators, which is conducive to obtaining more reliable evaluation results.

[0044] In another exemplary embodiment of this application, the weight of each indicator is determined using the coefficient of variation method within the socio-economic environment subsystem. The coefficient of variation method calculates the coefficient of variation by taking the standard deviation and mean of each indicator, as shown in the following formula:

[0045]

[0046] In the formula σ i Let be the standard deviation of the i-th indicator; V represents the average value of the i-th indicator; i Let I be the coefficient of variation of the i-th indicator; i W is the standard value of the i-th indicator; i Let i be the weight of indicator i.

[0047] When the current value of each indicator differs significantly from the target value, it indicates that the indicator is unlikely to achieve the target value and should be given a larger weight; conversely, it should be given a smaller weight.

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

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

[0050]

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

[0052] 2. Calculate the closeness using the following formula:

[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 a weighted cumulative method.

[0056] The weights and barrier degrees were calculated using SPSSPRO software, while the carrying capacity was calculated using ArcGIS software.

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

[0058] Step 201: Calculate the carrying capacity of the geological environment subsystem using the weighted summation method based on the weights and values ​​of each index factor in the index layer corresponding to the geological environment subsystem.

[0059] Step 202: Calculate the carrying capacity of the ecological environment subsystem using the TOPSIS method based on the weights and values ​​of each indicator factor in the corresponding indicator layer of the ecological environment subsystem.

[0060] Step 203: Based on the weights and values ​​of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem, calculate the carrying capacity of the socio-economic environment subsystem using the weighted accumulation method.

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

[0062] Step 205: Based on 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, determine the ecological and geological environment carrying capacity of the research mining area according to the formula Z=T1×W1+T2×W2+T3×W3.

[0063] In the formula, Z represents the ecological and geological environmental carrying capacity of the mining area under study, T1 represents the carrying capacity of the geological environment subsystem, W1 represents the weight of the geological environment subsystem, T2 represents the carrying capacity of the ecological environment subsystem, W2 represents the weight of the ecological environment subsystem, T3 represents the carrying capacity of the socio-economic environment subsystem, and W3 represents the weight of the socio-economic environment subsystem.

[0064] After comprehensively evaluating the carrying capacity of the ecological and geological environment, the mineral deposits are analyzed in conjunction with the mineral deposits. Based on their carrying capacity levels, further assessments are made on the resource development capacity and the necessity of ecological restoration.

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

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

[0067] Step 302: Use the index factors with an obstacle degree greater than or equal to the preset threshold as the main factors affecting the carrying capacity of the ecological and geological environment.

[0068] The obstacle degree model calculates the obstacle degree of each indicator based on 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 For the contribution of the j-th indicator factor, w j Let j be the weight of the j-th indicator factor under the criterion layer. Let I be the weight of the criterion layer to which the j-th indicator factor belongs. j x represents the deviation of the j-th indicator factor. j P represents the normalized positive value of the j-th index factor.j Let be the barrier degree of the j-th indicator factor.

[0073] After identifying the main factors affecting the carrying capacity of the ecological and geological environment, corresponding protection strategies and suggestions can be proposed for these main factors.

[0074] This application provides a scientific, systematic, and comprehensive method for evaluating the carrying capacity of the ecological geological environment by comprehensively considering indicators from three subsystems: geological environment, ecological environment, and socio-economic environment, and combining multiple weighting calculations and carrying capacity assessment methods. It is particularly suitable for assessing the carrying capacity of mining area environments.

[0075] Taking a mining area rich in lithium and gold deposits 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 and geological carrying capacity of a certain mining area are as follows: Figure 3 As shown.

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

[0080] The comprehensive evaluation results of the distribution of mineral deposit locations and ecological geological carrying capacity in a certain mining area are as follows: Figure 5 As shown.

[0081] This application establishes an evaluation index system based on three aspects: 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, respectively, to comprehensively evaluate the carrying capacity of the ecological and geological environment. The obstacle degree model is used to evaluate the index factors and identify the main factors affecting the carrying capacity of the ecological and geological environment. At the same time, this 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] Random forests, due to their low dependence on data, can effectively handle the complex nonlinear relationships between geological environmental indicator factors while providing feature importance analysis. This method is robust and insensitive to noise and outliers, thus performing excellently in processing geological environmental indicator data. The CRITIC method, when calculating weights, considers both data volatility and the correlation between ecological and environmental indicator factors, weakening the influence of highly correlated indicators, reducing information redundancy, and thus improving the reliability of indicator weights. For the socio-economic environmental subsystem, due to the large differences in its indicator factors, the coefficient of variation method can more accurately reflect the relative importance between indicators, ensuring the rationality of weight allocation. The comprehensive application of these methods improves the scientific rigor and accuracy of the assessment of ecological and geological environmental carrying capacity.

[0083] Based on the same inventive concept, this application also provides a mining area ecological geological environment carrying capacity evaluation device for implementing the above-mentioned mining area ecological geological environment carrying capacity evaluation method. The solution provided by this device is similar to the solution described in the above-mentioned method. Therefore, the specific limitations of one or more mining area ecological geological environment carrying capacity evaluation device embodiments provided below can be found in the limitations of the mining area ecological geological environment carrying capacity evaluation method above, and will not be repeated here.

[0084] In one exemplary embodiment, a mining area ecological geological environment carrying capacity evaluation device is provided, comprising: an index system establishment module, an index 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 system comprises three modules: an indicator system establishment module for establishing an ecological and geological environment indicator system for the mining area; the indicator system includes a criterion layer and an indicator layer, with the criterion layer comprising a geological environment subsystem, an ecological environment subsystem, and a socio-economic environment subsystem; an indicator value acquisition module for acquiring the values ​​of each indicator factor in the indicator layer of the mining area; a first weight determination module for determining the weights of each indicator factor in the indicator layer corresponding to the geological environment subsystem using the random forest method; a second weight determination module for determining the weights of each indicator factor in the indicator layer corresponding to the ecological environment subsystem using the CRITIC method; and a third weight determination module for determining the weights of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem using the coefficient of variation method. Finally, a comprehensive evaluation module for determining the ecological and geological environment carrying capacity of the mining area based on the values ​​and weights of each indicator factor in the indicator layer of the mining area.

[0086] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 6As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores information on the ecological and geological carrying capacity of the mining area. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for evaluating the ecological and geological carrying capacity of a mining area.

[0087] Those skilled in the art will understand that Figure 6 The structures shown are merely block diagrams of some structures related to the present application and do not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than shown in the figures, or combine certain components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0088] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[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, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0090] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this 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 can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0091] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0092] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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 document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for evaluating the carrying capacity of the ecological and geological environment of a mining area, characterized in that, include: Establish an ecological geological environment indicator system for the mining area; the ecological geological environment indicator system includes a criterion layer and an indicator layer, the criterion layer includes a geological environment subsystem, an ecological environment subsystem, and a socio-economic environment subsystem. Obtain the values ​​of each indicator factor in the indicator layer of the research mining area; The weights of each indicator factor in the indicator layer corresponding to the geological environment subsystem are determined using the random forest method. The weights of each indicator factor in the indicator layer corresponding to the ecological environment subsystem are determined using the CRITIC method. The coefficient of variation method was used to determine the weights of each indicator factor in the indicator layer corresponding to the socio-economic environment subsystem. Based on 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. Based on the values ​​and weights of each indicator factor in the indicator layer of the research mining area, the ecological and geological carrying capacity of the research mining area is determined, specifically including: Based on the weights and values ​​of each indicator factor in the corresponding indicator layer of the geological environment subsystem, the carrying capacity of the geological environment subsystem is calculated using the weighted accumulation method. Based on the weights and values ​​of each indicator factor in the corresponding indicator layer of the ecological environment subsystem, the carrying capacity of the ecological environment subsystem is calculated using the TOPSIS method. Based on the weights and values ​​of each indicator factor in the corresponding indicator layer of the socio-economic environment subsystem, the carrying capacity of the socio-economic environment subsystem is calculated using the weighted accumulation method. The weights of the geological environment subsystem, the ecological environment subsystem, and the socio-economic environment subsystem in the criterion layer are determined using the entropy weight method. Based on 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, according to the formula Determine the ecological and geological carrying capacity of the mining area under study; where, Z To study the carrying capacity of the ecological and geological environment of the mining area, T 1 represents the carrying capacity of the geological environment subsystem. W 1 represents the weight of the geological environment subsystem. T 2 represents the carrying capacity of the ecological environment subsystem. W 2 represents the weight of the ecological environment subsystem. T 3 represents the carrying capacity of the socio-economic and environmental subsystem. W 3 represents the weight of the socio-economic environment subsystem; Based on the values ​​and weights of each indicator factor in the indicator layer of the research mining area, the ecological and geological carrying capacity of the research mining area is determined, which then includes: The obstacle degree of each indicator factor in the indicator layer is calculated using the obstacle degree model; The index factor with an obstacle degree greater than or equal to a preset threshold is taken as the main factor affecting the carrying capacity of the ecological and geological environment; The obstacle degree model is as follows: ； ； ； In the formula, For the first j The contribution of each indicator factor For the first criterion level j The weight of the indicator factor, For the first j The weight of the criterion layer to which the indicator factor belongs. For the first j Deviation of the indicator factors For the first j The positive values ​​of the index factors after normalization. For the first j The degree of barrier to the indicator factor.

2. The method for evaluating the carrying capacity of the ecological and geological environment 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 incision degree, soil erodibility factor, fault distance, stratigraphic lithology, peak ground acceleration, and susceptibility to geological disasters.

3. The method for evaluating the carrying capacity of the ecological and geological environment 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 the mineral deposit 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 carrying capacity of the ecological and geological environment 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, cultivated land area ratio, construction area ratio, and road buffer zone.

5. A device for evaluating the carrying capacity of the ecological and geological environment of a mining area, characterized in that, The mining area ecological and geological environment carrying capacity evaluation device includes: The indicator system establishment module is used to establish an ecological and geological environment indicator system for the mining area. The ecological and geological environment indicator system includes a criterion layer and an indicator layer. 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 acquire the values ​​of each indicator factor in the indicator layer of the research mining area; The first weight determination module is used to determine the weights 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 weights 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 weights 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 and geological carrying capacity of the research mining area based on the values ​​and weights of each indicator factor in the indicator layer of the research mining area. Based on the values ​​and weights of each indicator factor in the indicator layer of the research mining area, the ecological and geological carrying capacity of the research mining area is determined, specifically including: Based on the weights and values ​​of each indicator factor in the corresponding indicator layer of the geological environment subsystem, the carrying capacity of the geological environment subsystem is calculated using the weighted accumulation method. Based on the weights and values ​​of each indicator factor in the corresponding indicator layer of the ecological environment subsystem, the carrying capacity of the ecological environment subsystem is calculated using the TOPSIS method. Based on the weights and values ​​of each indicator factor in the corresponding indicator layer of the socio-economic environment subsystem, the carrying capacity of the socio-economic environment subsystem is calculated using the weighted accumulation method. The weights of the geological environment subsystem, the ecological environment subsystem, and the socio-economic environment subsystem in the criterion layer are determined using the entropy weight method. Based on 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, according to the formula Determine the ecological and geological carrying capacity of the mining area under study; where, Z To study the carrying capacity of the ecological and geological environment of the mining area, T 1 represents the carrying capacity of the geological environment subsystem. W 1 represents the weight of the geological environment subsystem. T 2 represents the carrying capacity of the ecological environment subsystem. W 2 represents the weight of the ecological environment subsystem. T 3 represents the carrying capacity of the socio-economic and environmental subsystem. W 3 represents the weight of the socio-economic environment subsystem; Based on the values ​​and weights of each indicator factor in the indicator layer of the research mining area, the ecological and geological carrying capacity of the research mining area is determined, which then includes: The obstacle degree of each indicator factor in the indicator layer is calculated using the obstacle degree model; The index factor with an obstacle degree greater than or equal to a preset threshold is taken as the main factor affecting the carrying capacity of the ecological and geological environment; The obstacle degree model is as follows: ； ； ； In the formula, For the first j The contribution of each indicator factor For the first criterion level j The weight of the indicator factor, For the first j The weight of the criterion layer to which the indicator factor belongs. For the first j Deviation of the indicator factors For the first j The positive values ​​of the index factors after normalization. For the first j The degree of barrier to the indicator factor.

6. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method for evaluating the carrying capacity of the ecological geological environment of a mining area as described in any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the method for evaluating the carrying capacity of the ecological geological environment of a mining area as described in any one of claims 1-4.

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