Optimal allocation method for water resources in mining area

Abstract

The invention discloses a mining area water resource optimal configuration method, which comprises the following steps: acquiring related data of mining area water resources, including water resources at a water supply end and water use sources at a water demand end; giving a water supply quality sequence and a water supply priority, and determining a graded and quality-divided water distribution rule according to the water supply quality sequence and the water supply priority; constructing a mining area water resource optimal configuration model; solving the mining area water resource optimal configuration model by using a multi-objective genetic algorithm to obtain a Pareto solution, namely an optimal configuration scheme of water resources; a mining area water resource optimal configuration model is constructed, an economic target is directly associated with water supply economic benefits, an environment target focuses on mine water displacement, and a fair target is measured by means of a Gini coefficient, so that consideration on constraint conditions is more comprehensive compared with the prior art; the feasibility and stability of a model solving result in practical application can be ensured, and the technical problem that the comprehensive utilization efficiency of water resources in a mining area is not high in the prior art is solved.

Description

Technical Field

[0001] This invention belongs to the field of comprehensive utilization and optimal allocation technology of water resources, specifically involving a method for optimal allocation of water resources in mining areas. Background Technology

[0002] During the coal mining stage, groundwater, karst water, and other water sources flow into the mine along rock fissures, forming a large amount of mine water. In coal mining, how to limit the discharge of high-mineralization mine water while rationally allocating various water sources, including mine water, and improving the comprehensive utilization efficiency of water resources in the mining area has become an important issue in the comprehensive utilization of water resources in the mining area.

[0003] Hydrogeological parameters in mining areas (such as permeability coefficient and aquifer structure) change dynamically with mining activities. Traditional allocation methods, relying on static models (such as numerical simulations with fixed parameters), struggle to accurately predict mine water inflow and total water resources, leading to systematic errors in supply-demand balance analysis. Existing methods often focus on allocating water from a single source (such as mine water or surface water), lacking a collaborative optimization mechanism for multiple sources including groundwater, surface water, and reclaimed water. Water demands for production, domestic use, and ecological purposes in mining areas vary spatially and temporally. Existing models fail to establish priority allocation rules under multi-objective constraints, resulting in low water resource utilization efficiency. Existing optimization models emphasize cost control or water allocation, neglecting key indicators such as water quality compliance rates and ecological water demand. While some methods incorporate economic objectives, they lack a multi-dimensional benefit evaluation system, potentially exacerbating water pollution or ecological degradation risks in mining areas.

[0004] At the level of comprehensive water resource utilization, while existing technologies offer some methods for optimizing water resource allocation, the factors considered when constructing the optimization model are not comprehensive enough. Regarding the synergy of economic, environmental, and equity objectives, existing technologies fail to fully integrate the actual conditions of the mining area to balance the weights of each objective. This makes it difficult to maximize economic benefits, minimize environmental impact, and ensure water use equity while simultaneously improving the efficiency of comprehensive water resource utilization in the mining area. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a method for optimizing the allocation of water resources in mining areas, so as to solve the technical problem of low comprehensive utilization efficiency of water resources in mining areas in the existing technology.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0007] A method for optimizing the allocation of water resources in a mining area includes the following steps:

[0008] S1: Obtain relevant data on water resources in the mining area, including water resources at the supply end and water sources at the demand end;

[0009] The water resources at the water supply end include surface water resources, groundwater resources, mine water resources, and reclaimed water resources;

[0010] The mine water includes both primary treated mine water resources and intensively treated mine water resources;

[0011] The water consumption at the demand end includes domestic water consumption, industrial water consumption, ecological water consumption, and agricultural water consumption;

[0012] The domestic water consumption includes domestic drinking water consumption and surface fire-fighting water consumption; the industrial water consumption includes surface industrial water consumption and underground industrial water consumption.

[0013] S2: Given the water supply quality order and water supply priority, determine the graded and quality-based water distribution rules according to the water supply quality order and water supply priority;

[0014] The water supply quality order is: groundwater > surface water > reclaimed water, deeply treated mine water > primary treated mine water;

[0015] Water supply priority is: domestic water use > industrial water use > ecological water use > agricultural water use;

[0016] S3: Construct an optimal water resource allocation model for the mining area;

[0017] The optimal allocation model for water resources in the mining area includes a synergistic economic objective (max f1(x)), an environmental objective (min f2(x)), and a fairness objective (min f3(x)).

[0018] This also includes water supply capacity constraints at the water supply end. Water quality constraints G j ≤G i Nonnegativity constraint x i，j ≥0: and production guarantee rate constraint at the water demand end. Water demand constraints

[0019]

[0020] in:

[0021] j is the user's ID, which ranges from 1 to J;

[0022] i is the water source number, with a value ranging from 1 to I;

[0023] n i The water supply order for water source i is defined, with values ​​ranging from 1 to n. max ;

[0024] m i,j Let i be the water supply priority for water user j, with a value ranging from 1 to M. i ;

[0025] M i This represents the maximum water supply priority of water source i;

[0026] b j The unit water supply economic benefit for water user j is calculated in yuan / m³. 3 ;

[0027] c i,j The cost of supplying water to user j from water source i, in yuan / m³ 3 ;

[0028] α i Let be the water supply order coefficient for water source i;

[0029] β i,j The fairness coefficient for supplying water source i to water user j;

[0030] x i,j m is the amount of water supplied by water source i to water user j. 3 ;

[0031] Q mine The water inflow rate in the mine is expressed in m. 3 ;

[0032] k represents the type of water-using department, and its value ranges from 1 to K.

[0033] x k This represents the ratio of total water supply to total water demand for the industry after sorting.

[0034] y k This is the cumulative value, i.e., y k = x1 + x2 + ... + x k ;

[0035] S i The water supply capacity of water source i;

[0036] G i The water quality grade of water source i;

[0037] G j To meet the minimum water quality requirements of water user j;

[0038] D j,max This represents the maximum water demand of user j.

[0039] D j，min Let J be the minimum water demand of user j.

[0040] S4: Use a multi-objective genetic algorithm to solve the water resource optimization allocation model in the mining area and obtain the Pareto solution, which is the optimal allocation scheme for water resources.

[0041] This invention also includes the following technical features:

[0042] S1 specifically includes the following steps:

[0043] Obtain the amount of surface water resources and groundwater resources based on planning data;

[0044] Predict mine water resources based on coal production in the mining area;

[0045] The amount of reclaimed water resources is obtained from the flow meter at the production end of the reclaimed water utilization facility in the mining area;

[0046] Predict domestic water consumption based on the total population of the mining area;

[0047] Industrial water consumption is obtained from statistical data;

[0048] Ecological water consumption in mining areas is obtained based on vegetation coefficient and evapotranspiration.

[0049] Agricultural water consumption is determined based on crop evaporation and crop evapotranspiration coefficient.

[0050] In S2, the graded and differentiated water distribution rules are as follows:

[0051] Surface water and groundwater should be selected for drinking water.

[0052] For firefighting operations, deeply treated mine water and reclaimed water are selected.

[0053] For industrial water use above ground, deeply treated mine water and reclaimed water are selected.

[0054] For underground industrial water use, primary treated mine water is selected.

[0055] Both ecological and agricultural water use utilize deeply treated mine water.

[0056] Compared with the prior art, the beneficial technical effects of this invention are:

[0057] This invention constructs an optimal allocation model for water resources in mining areas. Economic objectives are directly linked to the economic benefits of water supply, environmental objectives focus on mine water discharge, and equity objectives are measured using the Gini coefficient. Compared to existing technologies that simply consider water supply quality and priority, this model more comprehensively considers economic, environmental, and social equity factors, contributing to the comprehensive and sustainable utilization of water resources in mining areas. In terms of constraint design, it not only covers water supply capacity, water quality, and non-negativity constraints on the supply side, but also adds production guarantee rate constraints and water demand constraints on the demand side. This more comprehensive consideration of constraints compared to existing technologies ensures the feasibility and stability of the model's solution in practical applications. Overall, this technical solution, through multi-dimensional innovative optimization, has significant advantages over existing technologies in data acquisition, objective setting, and constraint conditions. It can achieve more efficient and scientific optimal allocation of water resources in mining areas, solving the technical problem of low comprehensive utilization efficiency of water resources in mining areas in existing technologies. Attached Figure Description

[0058] Figure 1 This is a flowchart of the present invention.

[0059] The specific content of the present invention will be further explained in detail below with reference to the embodiments. Detailed Implementation

[0060] It should be noted that, unless otherwise specified, all components in this invention are those known in the art.

[0061] The following are specific embodiments of the present invention. It should be noted that the present invention is not limited to the following specific embodiments. All equivalent modifications made based on the technical solutions of this application fall within the protection scope of the present invention.

[0062] This invention provides a method for optimizing the allocation of water resources in mining areas, comprising the following steps:

[0063] S1: Obtain relevant data on water resources in the mining area, including water resources at the supply end and water sources at the demand end;

[0064] Water resources at the water supply end include surface water resources, groundwater resources, mine water resources, and reclaimed water resources;

[0065] Mine water includes both primary treated mine water resources and intensively treated mine water resources;

[0066] Water consumption at the demand end includes domestic water consumption, industrial water consumption, ecological water consumption, and agricultural water consumption;

[0067] Domestic water consumption includes domestic drinking water consumption and surface fire-fighting water consumption; industrial water consumption includes surface industrial water consumption and underground industrial water consumption.

[0068] S2: Given the water supply quality order and water supply priority, determine the graded and quality-based water distribution rules according to the water supply quality order and water supply priority;

[0069] The order of water supply quality is: groundwater > surface water > reclaimed water, deeply treated mine water > primary treated mine water;

[0070] Water supply priority is: domestic water use > industrial water use > ecological water use > agricultural water use;

[0071] S3: Construct an optimal water resource allocation model for the mining area;

[0072] The optimal allocation model for water resources in mining areas includes a synergistic economic objective (max f1(x)), an environmental objective (min f2(x)), and an equity objective (min f3(x)).

[0073] This also includes water supply capacity constraints at the water supply end. Water quality constraints G j ≤G i Nonnegativity constraint x i，j ≥0: and production guarantee rate constraint at the water demand end. Water demand constraints

[0074]

[0075] in:

[0076] j is the user's ID, which ranges from 1 to J;

[0077] i is the water source number, with a value ranging from 1 to I;

[0078] n i The water supply order for water source i is defined, with values ​​ranging from 1 to n. max ;

[0079] m i,j Let i be the water supply priority for water user j, with a value ranging from 1 to M. i ;

[0080] M i This represents the maximum water supply priority of water source i;

[0081] b j The unit water supply economic benefit for water user j is calculated in yuan / m³. 3 ;

[0082] c i,j The cost of supplying water to user j from water source i, in yuan / m³ 3 ;

[0083] α i Let be the water supply order coefficient for water source i;

[0084] β i,j The fairness coefficient for supplying water source i to water user j;

[0085] x i,j m is the amount of water supplied by water source i to water user j. 3 ;

[0086] Q mine The water inflow rate in the mine is expressed in m. 3 ;

[0087] k represents the type of water-using department, and its value ranges from 1 to K.

[0088] x k This represents the ratio of total water supply to total water demand for the industry after sorting.

[0089] y k This is the cumulative value, i.e., y k = x1 + x2 + ... + x k ;

[0090] S i The water supply capacity of water source i;

[0091] G i The water quality grade of water source i;

[0092] G j To meet the minimum water quality requirements of water user j;

[0093] D j,max This represents the maximum water demand of user j.

[0094] D j，min Let J be the minimum water demand of user j.

[0095] S4: Use a multi-objective genetic algorithm to solve the water resource optimization allocation model in the mining area and obtain the Pareto solution, which is the optimal allocation scheme for water resources.

[0096] The aforementioned technical solution constructs an optimal allocation model for water resources in mining areas. Economic objectives are directly linked to the economic benefits of water supply, environmental objectives focus on mine water discharge, and equity objectives are measured using the Gini coefficient. Compared to existing technologies that simply consider water supply quality and priority, this model more comprehensively considers economic, environmental, and social equity factors, contributing to the comprehensive and sustainable utilization of water resources in mining areas. In terms of constraint design, it not only covers water supply capacity, water quality, and non-negativity constraints at the supply end but also adds production guarantee rate constraints and water demand constraints at the demand end. This more comprehensive consideration of constraints compared to existing technologies ensures the feasibility and stability of the model's solution in practical applications. Overall, this technical solution, through multi-dimensional innovative optimization, has significant advantages over existing technologies in data acquisition, objective setting, and constraint conditions. It can achieve more efficient and scientific optimal allocation of water resources in mining areas, solving the technical problem of low comprehensive utilization efficiency of water resources in mining areas in existing technologies.

[0097] α in the economic objective of the optimal allocation model of water resources in mining areas i and β i,j Taking into account the impact of the order of water supply and the fairness of the allocation of different water sources among users on economic benefits, the aim is to maximize the direct economic benefits generated by the overall water supply of the mining area under various constraints, and to rationally allocate water resources to achieve optimal economic returns.

[0098] The core environmental objective of the mining area water resource optimization allocation model is to minimize the amount of mine water discharged. Large-scale discharge of untreated and unutilized mine water pollutes the surrounding water environment and disrupts the ecological balance, potentially leading to eutrophication and altering soil physicochemical properties. By setting mine water discharge volume as a key environmental indicator, the model aims to optimize water resource allocation, ensuring more mine water is rationally distributed to industrial and ecological water use scenarios. This achieves effective utilization of mine water resources, reduces negative environmental impacts, and promotes harmonious development between the mining area and its surrounding ecosystem.

[0099] The fairness objective in the optimal allocation model of water resources in mining areas aims to ensure that all types of water users receive relatively fair treatment in the water resource allocation process. This is quantified using the Gini coefficient, and the calculation of the Gini coefficient minimizes the degree of unfairness. The closer the Gini coefficient is to 0, the fairer the allocation of water resources among different industries, indicating a more balanced match between the actual water supply and demand in each industry. The model incorporates the fairness objective to prevent certain types of water users (such as industrial water users who obtain excessive water resources due to economic advantages) from over-consuming resources, leading to water shortages for other water users (such as ecological water users whose insufficient resource allocation affects ecosystem stability). This ensures fairness in water resource utilization among all water users within the mining area and promotes the coordinated development of the mining area's economy, society, and ecology.

[0100] Water supply capacity constraints mean that the total amount of water supplied by each water source to all water users cannot exceed the actual water supply capacity of that water source itself. This constraint prevents over-extraction of groundwater, avoids geological problems such as groundwater level drop and land subsidence caused by over-extraction, and ensures that each water source supplies water stably within its carrying capacity, thus maintaining the balance of the water resource system.

[0101] Water quality constraints ensure that water supplied from sources such as surface water and groundwater to drinking water sources meets standards in terms of microbial content and chemical concentration, thus guaranteeing the safety of residents' drinking water. Different industrial production processes also have specific water quality requirements. Water quality constraints ensure that water sources are suitable for different industrial water use scenarios, preventing substandard water quality from affecting industrial production efficiency and product quality.

[0102] From a practical standpoint, a negative water supply has no physical meaning in reality. This constraint ensures the rationality and feasibility of the water resource allocation model. It guarantees that the model will not produce unreasonable water resource allocation schemes during the solution process, ensuring that the water resource allocation results conform to the actual water flow direction and real-world logic.

[0103] By setting production guarantee rate constraints, it can be ensured that industrial water users have sufficient water to maintain normal production most of the time. This requires comprehensive consideration of factors such as the stability of water sources, the reliability of water supply systems, and fluctuations in the production of water users. When special circumstances such as drought reduce water supply, the production guarantee rate constraints can prioritize water supply for key industrial production, while making appropriate adjustments to non-critical water use to minimize the impact on production and ensure the stable operation of the mining area's economy.

[0104] By setting water demand constraints, water waste caused by excessive water supply can be avoided. In industrial production, different production processes have different water requirements; water demand constraints can prevent increased costs due to unreasonable excessive water supply, while also avoiding negative impacts on production equipment or processes caused by excessive water supply. For ecological and agricultural water use, reasonable upper limits for water demand can also be set based on actual growth or irrigation needs, enabling precise allocation of water resources in different water use scenarios and improving water resource utilization efficiency.

[0105] Preferably, k takes values ​​from 1 to 4, representing domestic, industrial, ecological, and agricultural water sources, respectively; I represents the quantity of water sources, categorized into 5 types: surface water, groundwater, primary treated mine water, advanced treated mine water, and reclaimed water; J represents the number of water users, categorized into 13 types: drinking water, surface fire fighting, underground fire fighting, grouting, dust suppression, coal mining, boilers, coal washing, cooling, car washing, surface water spraying, greening, and irrigation; that is, under the premise of meeting the water quality requirements of water users, primary treated mine water is given priority, followed by advanced treated mine water, reclaimed water, surface water, and groundwater. Therefore, n1 = 4, n2 = 5, n3 = 1, n4 = 2, n5 = 3; D j,max Pick 120% of; D j，min Pick 80%.

[0106] S1 specifically includes the following steps:

[0107] Obtain the amount of surface water resources and groundwater resources based on planning data;

[0108] Predict mine water resources based on coal production in the mining area;

[0109] The amount of reclaimed water resources is obtained from the flow meter at the production end of the reclaimed water utilization facility in the mining area;

[0110] Predict domestic water consumption based on the total population of the mining area;

[0111] Industrial water consumption is obtained from statistical data;

[0112] Ecological water consumption in mining areas is obtained based on vegetation coefficient and evapotranspiration.

[0113] Agricultural water consumption is determined based on crop evaporation and crop evapotranspiration coefficient.

[0114] In S2, the rules for graded and differentiated water distribution are as follows:

[0115] Surface water and groundwater should be selected for drinking water.

[0116] For firefighting operations, deeply treated mine water and reclaimed water are selected.

[0117] For industrial water use above ground, deeply treated mine water and reclaimed water are selected.

[0118] For underground industrial water use, primary treated mine water is selected.

[0119] Both ecological and agricultural water use utilize deeply treated mine water.

[0120] In the aforementioned technical solution, based on the water supply quality and priority settings, this tiered and differentiated water allocation rule fully considers the water quality characteristics of different water sources and the varying water quality requirements of different water use scenarios. For drinking water, which is directly related to human health, the selection of relatively high-quality surface water and groundwater ensures the safety of residents' drinking water. Firefighting water in mines has relatively lower water quality requirements; using deeply treated mine water and reclaimed water can meet firefighting needs while achieving rational utilization of water resources. Similarly, for industrial water use in mines, using deeply treated mine water and reclaimed water can reduce water costs. For industrial water use underground, primary-treated mine water is selected, meeting the actual water quality requirements for underground operations. For ecological and agricultural water use, non-primary-treated mine water is selected, ensuring ecological and agricultural water use while promoting the recycling of mine water resources, thus achieving overall optimized allocation of water resources in the mining area under different water use scenarios.

[0121] The water allocation rules are as follows: first, ensure domestic water use; second, industrial water use; third, ecological water use; and finally, agricultural water use; mine water should be used as much as possible within mining areas; primary treated mine water should be given priority underground, and other water sources should be given priority for use on the surface.

[0122] Actual test example:

[0123] A coal mine is located on the banks of the Wulanmulun River. The available surface water and groundwater in the river basin are 0.56 million m³. 3 / Tianhe 43,700 m 3 / day. This coal mine accounts for approximately 10% of the coal production of the corresponding mining area in this watershed. Surface water and groundwater are allocated based on the proportion of coal mine production, meaning the permitted amount of surface water and groundwater used by this coal mine is 204,400 m³. 3 / y and 1,595,100 m 3 / y. Surface water is allocated monthly usable amounts based on annual runoff variations, while groundwater is calculated using monthly average values.

[0124] According to local mine water ecological protection and comprehensive utilization planning data, the water abundance coefficient per ton of coal in this mining area is 1.1. The current coal mining output of this coal mine is 10 million tons / year. The monthly coal production is allocated within the year based on the monthly output of Shaanxi Province in 2023. At the same time, the monthly mine water inflow is calculated using the water abundance coefficient method.

[0125] i M =K M ×O M

[0126] In the formula: I M The annual water inflow of the mine, in meters. 3 ;K M The water content coefficient per ton of coal; O M The value is the mine's monthly output, expressed in tons (t).

[0127] According to local mine water ecological protection and comprehensive utilization planning data, the mine's reclaimed water supply capacity is 3.83 million m³. 3 / y.

[0128] Table 1 shows the reference specifications for calculating water consumption for domestic, industrial, ecological, and agricultural use in mining areas. Among them, the water consumption for agriculture is the same as that for ecological use.

[0129] Table 1

[0130]

[0131] The water supply priority of each water source is shown in Table 2:

[0132] Table 2

[0133]

[0134] In Table 2 above, priority is represented by numbers 1 to 6. The smaller the priority number, the higher the priority of water supply; the larger the priority number, the lower the priority of water supply; and a priority of 0 indicates that the water source does not supply water to users. Mine water (primary) means primary treated mine water, and mine water (deep) means deep treated mine water.

[0135] The water supply costs of each water source and the benefits of each water user sector were calculated using this invention, as shown in Table 3.

[0136] Table 3

[0137] water source <![CDATA[Cost (m 3 / yuan)]]> Water users <![CDATA[Benefit (m 3 / yuan)]]> Surface water 3.18 Life 33.00 groundwater 3.18 Industrial (low water quality) 42.00 Mine water (primary treatment) 0.35 Industrial (high water quality) 42.00 Mine water (advanced treatment) 6.50 Ecology 32.00 Reclaimed water 6.50 agriculture 14.00

[0138] The problem is solved using MATLAB. In this embodiment, the optimal allocation model for water resources in the mining area is a multi-objective problem, so a Pareto solution is generated monthly. Since the water supply exceeds the demand and the water supply guarantee rate is around 100%, the differences in user fairness are small, and the Gini coefficients are all less than 0.

[0139] Scheme analysis was conducted for 12 Pareto solutions. In the implementation examples, the schemes adopted economic, environmental, and equity considerations. Taking January as an example, the domestic water supply in the mining area was mainly provided by groundwater, and the primary treated mine water supplied the surface fire-fighting water and underground grouting water. In terms of industrial water supply, mine water supplied nearly 100% of the underground industry, and about 70% of the surface industry was supplied by groundwater, with the remainder supplied by mine water. Ecological water supply was mainly replenished by groundwater. Agricultural water supply almost entirely used deeply treated mine water. The specific configuration results and scheme analysis for January are shown in Table 4.

[0140] Table 4

[0141]

[0142] In summary, this invention, based on a graded and quality-based approach, establishes a multi-objective optimization allocation model for mining area water resources, aiming to maximize economic benefits, minimize mine water discharge, and maximize fairness. The model is constrained by water supply capacity, water demand, production assurance rate, water quality, and non-negativity. For water-using sectors with lower water quality requirements, mine water is prioritized; for those with higher water quality requirements, surface water and groundwater are prioritized. If supply is insufficient, mine water and reclaimed water are used as supplements. This model can provide a reference for increasing the comprehensive utilization benefits of mining area water resources and reducing the impact of water shortages.

Claims

1. A method for optimizing the allocation of water resources in a mining area, characterized in that, Includes the following steps: S1: Obtain relevant data on water resources in the mining area, including water resources at the supply end and water sources at the demand end; The water resources at the water supply end include surface water resources, groundwater resources, mine water resources, and reclaimed water resources; The mine water includes both primary treated mine water resources and intensively treated mine water resources; The water consumption at the demand end includes domestic water consumption, industrial water consumption, ecological water consumption, and agricultural water consumption; The domestic water consumption includes domestic drinking water consumption and surface fire-fighting water consumption; the industrial water consumption includes surface industrial water consumption and underground industrial water consumption. S2: Given the water supply quality order and water supply priority, determine the graded and quality-based water distribution rules according to the water supply quality order and water supply priority; The water supply quality order is: groundwater > surface water > reclaimed water, deeply treated mine water > primary treated mine water; Water supply priority is: domestic water use > industrial water use > ecological water use > agricultural water use; S3: Construct an optimal water resource allocation model for the mining area; The optimal allocation model for water resources in the mining area includes a synergistic economic objective (max f1(x)), an environmental objective (min f2(x)), and a fairness objective (min f3(x)). This also includes water supply capacity constraints at the water supply end. Water quality constraints G j ≤G i Nonnegativity constraint x i，j ≥0: and production guarantee rate constraint at the water demand end. Water demand constraints in: j is the user's ID, which ranges from 1 to J; i is the water source number, with a value ranging from 1 to I; n i The water supply order for water source i is defined, with values ​​ranging from 1 to n. max ; m i,j Let i be the water supply priority for water user j, with a value ranging from 1 to M. i M i This represents the maximum water supply priority of water source i; b j The unit water supply economic benefit for water user j is calculated in yuan / m³. 3 ; c i,j The cost of supplying water to user j from water source i, in yuan / m³ 3 ; α i Let be the water supply order coefficient for water source i; β i,j The fairness coefficient for supplying water source i to water user j; x i,j m is the amount of water supplied by water source i to water user j. 3 ; Q mine The water inflow rate in the mine is expressed in m. 3 ; k represents the type of water-using department, and its value ranges from 1 to K. x k This represents the ratio of total water supply to total water demand for the industry after sorting. y k This is the cumulative value, i.e., y k＝ x1+x2+…+x k ; S i The water supply capacity of water source i; G i The water quality grade of water source i; G j To meet the minimum water quality requirements of water user j; D j,max This represents the maximum water demand of user j. D j，min Let J be the minimum water demand of user j. S4: Use a multi-objective genetic algorithm to solve the water resource optimization allocation model in the mining area and obtain the Pareto solution, which is the optimal allocation scheme for water resources.

2. The method for optimal allocation of water resources in mining areas as described in claim 1, characterized in that, S1 specifically includes the following steps: Obtain the amount of surface water resources and groundwater resources based on planning data; Predict mine water resources based on coal production in the mining area; The amount of reclaimed water resources is obtained from the flow meter at the production end of the reclaimed water utilization facility in the mining area; Predict domestic water consumption based on the total population of the mining area; Industrial water consumption is obtained from statistical data; Ecological water consumption in mining areas is obtained based on vegetation coefficient and evapotranspiration. Agricultural water consumption is determined based on crop evaporation and crop evapotranspiration coefficient.

3. The method for optimal allocation of water resources in mining areas as described in claim 1, characterized in that, In S2, the graded and differentiated water distribution rules are as follows: Surface water and groundwater should be selected for drinking water. For firefighting operations, deeply treated mine water and reclaimed water are selected. For industrial water use above ground, deeply treated mine water and reclaimed water are selected. For underground industrial water use, primary treated mine water is selected. Both ecological and agricultural water use utilize deeply treated mine water.

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