Modeling method and system for regional water resources ecological security assessment

Abstract

The present invention discloses a modeling method and system for regional water resource ecological security evaluation, which relates to the technical field of mountain water resource management. The system obtains the current status of regional water resources, promptly discovers sub-regions with insufficient groundwater recharge, constructs and evaluates the mining intensity coefficient Kc through a water resource evaluation model constructed by a convolutional neural network model CNN, screens out over-exploited sub-regions, and takes corresponding regulatory measures, such as limiting the mining intensity to avoid excessive exploitation from burdening the ecological environment and water resources. The ecological environment and water quality data are obtained, the ecological pressure coefficient Ep of the sub-region is generated, and the sub-region with a higher risk of ecological damage is promptly discovered in combination with the pressure warning threshold. The system generates a corresponding water resource exploitation regulation model by combining the first key monitoring group, the second key monitoring group and the third key monitoring group to promote the sustainable management of water resources and ecological restoration in the region.

Description

Technical Field

[0001] The present invention relates to the technical field of water resource management in mountainous areas, and in particular to a modeling method and system for regional water resource ecological security assessment. Background Art

[0002] In mountainous areas, especially in areas with intensive agricultural production, the exploitation and management of water resources have always faced huge challenges. The terrain in mountainous areas is complex, and the distribution of water resources is often uneven. Especially driven by the demand for farmland irrigation and daily water use, groundwater and surface water are often overexploited. Farmers in mountainous areas usually rely on digging wells and pumping water to meet their production and living water needs. This irregular exploitation method often leads to overexploitation of groundwater resources and even causes a series of ecological and environmental problems such as soil erosion.

[0003] Water resources in mountainous areas are not just a simple combination of surface water and groundwater. Their complementarity and interdependence are particularly prominent in mountainous areas. Due to the particularity of mountainous terrain, groundwater recharge is usually slow, and the mobility of surface water is affected by many factors such as seasonal changes and precipitation. In some areas, the loss rate of surface water far exceeds the replenishment rate of groundwater, resulting in serious imbalance in the distribution and recharge capacity of water resources among different sub-regions. At the same time, frequent mining activities may also aggravate soil erosion and further affect the stability of the ecosystem. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a modeling method and system for regional water resources ecological security assessment to solve the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A modeling method for regional water resources ecological security assessment, comprising:

[0006] S1. Obtain elevation data and topographic maps, surface water hydrological data and groundwater recharge data of the area to be evaluated; lock several mining sub-areas, and mark several sub-areas and main mining points with serial numbers;

[0007] S2. Calculate the groundwater recharge volume Q based on surface water hydrological data and groundwater recharge data x and net surface water recharge , and the groundwater recharge Q x and net surface water recharge The relative recharge ratio R between surface water and groundwater is calculated to evaluate the groundwater recharge capacity of each sub-region. f ; and preset the recharge capacity threshold X, if the relative recharge ratio of surface water and groundwater < recharge capacity threshold X, indicating that the groundwater recharge in the sub-region is insufficient, and the sub-region is classified into the first key monitoring group, and groundwater exploitation in the sub-region is prohibited;

[0008] S3. Real-time monitoring of water resource exploitation data of several sub-regions to generate an exploitation intensity set; based on the exploitation intensity set, construct and evaluate the exploitation intensity coefficient Kc, screen sub-regions with excessive exploitation intensity labels from several sub-regions, and summarize them to establish a second key monitoring group;

[0009] S4. Collect ecological environment data and water quality data in all mining sub-areas, construct an ecological pressure set, and generate an ecological pressure coefficient Ep of the sub-area based on the ecological pressure set, and preset a pressure warning threshold Y. If the ecological pressure coefficient Ep> the pressure warning threshold, it means that there is an ecological damage risk in the sub-area, and generate a third key monitoring group;

[0010] S5. Generate corresponding strategies based on the first key monitoring group, the second key monitoring group and the third key monitoring group, including taking measures to limit mining intensity, increase ecological compensation or optimize water resource allocation.

[0011] Preferably, S1 comprises:

[0012] S11, obtaining elevation data and topographic maps of the area to be evaluated, and using the elevation data and topographic maps to collect the slope and aspect topographic features of the sub-area;

[0013] Use aerial photography or satellite remote sensing images to draw distribution maps of surface water bodies such as rivers and lakes.

[0014] Preferably, S1 further comprises:

[0015] S12. Use field monitoring to obtain surface water hydrological data and groundwater recharge data in the area to be evaluated;

[0016] Surface water hydrological data include: runoff velocity , water volume change , average annual precipitation in the sub-region P, surface runoff and evaporation loss E;

[0017] Groundwater recharge data include: groundwater level change , aquifer permeability coefficient K and aquifer permeability area .

[0018] Preferably, S2 comprises:

[0019] S21. Set up groundwater observation wells in the sub-areas and conduct pumping experiments. During the pumping process, the water level of the aquifer around the well drops to form a funnel-shaped "falling funnel". Record the dynamic changes of the water level and obtain the groundwater level change. ;

[0020] S22. Extract the permeability area A of the aquifer from the groundwater recharge data x Combined with groundwater level changes , the groundwater recharge Q is calculated by the following formula x :

[0021] ;

[0022] Where K represents the permeability coefficient of the aquifer, including: for loose rock and soil layers, K=10 −4 ~10 −5 m / s; for fractured rock, K=10 −6 ~10 −8 m / s; for alluvial fans in mountainous areas, K=10 −3 ~10 −4 m / s; in case of mountain fault zone, K=10 −3 ~10 −5 m / s;

[0023] represents the permeable area of ​​the aquifer, Indicates the change in groundwater level;

[0024] S23. Set up flow meters on the surface water in the sub-area to record the changes in water volume caused by changes in river water levels. , the net surface water recharge is calculated by the following formula: :

[0025] ;

[0026] In the formula, E represents evaporation loss, D represents surface runoff outflow; P represents the average annual precipitation in the sub-region; represents the runoff velocity;

[0027] S24. Extract the groundwater recharge Q calculated in S22-S23 x and net surface water recharge The relative recharge ratio of surface water and groundwater R is calculated by the following formula: f :

[0028] .

[0029] Preferably, S2 further includes:

[0030] S25, preset the recharge capacity threshold X, and set the relative recharge ratio of surface water and groundwater Compare with the recharge capacity threshold X to make a preliminary assessment of groundwater recharge capacity, including:

[0031] Relative recharge ratio of local surface water and groundwater ≥ recharge capacity threshold X, indicating that the water resources recharge in the sub-region is balanced; the relative recharge ratio of local surface water and groundwater < recharge capacity threshold X, indicating that the groundwater recharge in the sub-area is insufficient, triggering the first early warning instruction, and counting the sub-areas of the first early warning instruction and aggregating them into the first key monitoring group.

[0032] Preferably, S3 includes:

[0033] S31. Real-time monitoring of water resource exploitation data of several sub-regions to generate an exploitation intensity set; using a convolutional neural network model CNN, constructing an initial convolutional neural network model, and training and testing the initial convolutional neural network model with surface water hydrological data, groundwater recharge data and an exploitation intensity set, and using the trained initial convolutional neural network model as a regional water resource evaluation model, while using the intermediate layer output of the convolutional neural network model CNN as a feature vector to identify feature information, and training and testing the regional water resource evaluation model through the acquired feature information, and using the trained regional water resource evaluation model as data for running prediction;

[0034] The extraction intensity set includes the following data: Daily average surface water extraction Q g , Average daily groundwater extraction Q s , the area of ​​the sub-region A, the total amount of surface water resources in the sub-region Z, the number of groundwater wells in the sub-region N w The total number of monitored groundwater sources in the sub-area N t ;

[0035] S32: Input the mining intensity set into the trained regional water resources assessment model, and combine it with the relative recharge ratio R of surface water and groundwater calculated in S24. f , after dimensionless processing, the mining intensity coefficient Kc is calculated by the following formula:

[0036] ;

[0037] In the formula, , , and represents the weight value, It indicates the groundwater exploitation intensity per unit area and reflects the spatial distribution characteristics of groundwater;

[0038] It represents the ratio of surface water extraction to the total water resources in the sub-region, and measures the sustainable use of surface water;

[0039] It indicates the density ratio of groundwater extraction points, reflecting the development degree of groundwater resources;

[0040] It indicates the recharge ratio of surface water to groundwater and is used to quantify the ecological balance between surface water and groundwater.

[0041] S33, preset the critical mining threshold F, and compare and analyze the mining intensity coefficient Kc in the sub-region with the critical mining threshold F, including: when the mining intensity coefficient Kc> the critical mining threshold F, it indicates that there is a risk of over-exploitation in the current sub-region that damages the stability of the water cycle in the mountain area, and a second early warning instruction is generated; when the mining intensity coefficient Kc≤the critical mining threshold F, it indicates that there is no risk of over-exploitation in the sub-region that damages the stability of the water cycle in the mountain area, and continuous monitoring is performed;

[0042] The sub-areas for which the second early warning instructions are generated will be labeled with excessive mining intensity and summarized to establish a second key monitoring group.

[0043] Preferably, S4 includes:

[0044] S41, collect ecological environment data and water quality data in all mining sub-areas and construct an ecological pressure set;

[0045] Ecological and environmental data include: soil moisture sd, vegetation coverage gl, vegetation evapotranspiration zfl and hydrological gradient I;

[0046] The hydrological gradient I is calculated using the following formula:

[0047] ;

[0048] in, It represents the average water level difference between surface water and groundwater measured at different locations in the sub-region. Indicates the average horizontal distance between surface water and groundwater; hydrological gradient I determines the direction of groundwater flow; hydrological gradient I flows from high water level area to low water level area. The flow path and recharge source of surface water to groundwater are determined according to the direction of hydrological gradient; if the surface water level is high, the water will flow to the low water level area, and vice versa;

[0049] Water quality data include: total heavy metal content hl, water acidity pH, dissolved oxygen concentration rhy;

[0050] The total heavy metal content in water is calculated by the following formula:

[0051] ;

[0052] Where N represents the total number of water quality samples at monitoring points in the sub-region; Represents the heavy metal content in water quality at the i-th monitoring point.

[0053] Preferably, S4 further includes:

[0054] S42. After data cleaning and dimensionless processing of the ecological pressure set, the ecological pressure coefficient Ep of the sub-region is calculated using the following formula:

[0055] ;

[0056] In the formula, , , , , , and They represent the weight values ​​of soil moisture sd, vegetation coverage gl, vegetation evapotranspiration zfl, hydrological gradient I, total content of heavy metals in water quality hl, water quality acidity pH and dissolved oxygen concentration rhy respectively;

[0057] S43, presetting a pressure warning threshold value Y, and comparing the ecological pressure coefficient Ep of the sub-region with the pressure warning threshold value Y to determine whether the ecological pressure of the sub-region is abnormal;

[0058] If the ecological pressure coefficient Ep> the pressure warning threshold Y, it means that the ecological pressure of the sub-region is abnormal, triggering the third warning instruction, and counting the sub-regions of the third warning instruction and summarizing them into the third key monitoring group;

[0059] If the ecological pressure coefficient Ep ≤ the pressure warning threshold Y, it means that the ecological pressure of the sub-area is qualified and continuous monitoring is required.

[0060] Preferably, S5 includes:

[0061] S51. Generate the first strategy for the first key monitoring group, including: 100% ban on mining; use conservation forest vegetation restoration and construction of infiltration areas to increase groundwater recharge by 30%-50% Q x , add at least one reservoir in the sub-region to increase the net surface water recharge 30%;

[0062] Generate a second strategy for the second monitoring group, including: reducing the daily average surface water extraction Q gThe number of groundwater wells Nw in the sub-region with a daily mining limit is reduced to 80%-90%; for areas where the vegetation coverage gl is lower than 40% of the sub-region area A*, the frequency of vegetation planting and irrigation is increased by 6%-10%, and 40% of the investment is used for vegetation restoration; for wetland degradation areas, the wetland area is restored and the water storage and purification functions of the wetlands are utilized, 30% of the ecological compensation funds are allocated to wetland restoration, water is diverted from reservoirs, and 30% of the ecological compensation budget is used for ecological water replenishment;

[0063] The third strategy is generated for the third monitoring group, including: reducing the amount of exploitation by 10%-18%, guiding the transformation of high-water-consuming crops to low-water-consuming crops, and adjusting the irrigation method to drip irrigation or sprinkler irrigation; for areas where the vegetation coverage rate gl is lower than 30% of the sub-area area A*, increase the vegetation planting and irrigation frequency by 3%-5%, and invest 20% in vegetation restoration; for wetland degradation areas, restore the wetland area and utilize the water storage and purification functions of the wetlands, allocate 20% of the ecological compensation funds to wetland restoration, divert water from reservoirs, and use 20% of the ecological compensation budget for ecological water replenishment; introduce aeration equipment and artificial oxidation facilities to restore water quality.

[0064] The modeling system for regional water resources ecological security assessment includes:

[0065] The regional monitoring unit is used to obtain the elevation data and topographic map of the area to be evaluated, surface water hydrological data and groundwater recharge data; lock several mining sub-areas, and mark several sub-areas and main mining points with serial numbers;

[0066] The first analysis unit is used to calculate the groundwater recharge Q based on the surface water hydrological data and groundwater recharge data. x and net surface water recharge , and the groundwater recharge Q x and net surface water recharge The relative recharge ratio R between surface water and groundwater is calculated to evaluate the groundwater recharge capacity of each sub-region. f ; and preset the recharge capacity threshold X, if the relative recharge ratio of surface water and groundwater < recharge capacity threshold X, indicating that the groundwater recharge in the sub-region is insufficient, and the sub-region is classified into the first key monitoring group, and groundwater exploitation in the sub-region is prohibited;

[0067] The mining intensity collection unit is used to collect water resource mining data of several sub-regions in real time to generate a mining intensity set; and use the convolutional neural network model CNN to build and train a regional water resource evaluation model;

[0068] The second analysis unit is used to input the mining intensity set into the regional water resources evaluation model, analyze and calculate the mining intensity coefficient Kc and evaluate, screen out sub-regions with excessive mining intensity labels from a number of sub-regions, and summarize them to establish a second key monitoring group;

[0069] The ecological pressure collection unit is used to collect ecological environment data and water quality data in all mining sub-areas and construct an ecological pressure set;

[0070] The third analysis unit is used to generate an ecological pressure coefficient Ep of the sub-region according to the ecological pressure set, and preset a pressure warning threshold Y. If the ecological pressure coefficient Ep> the pressure warning threshold, it means that there is an ecological damage risk in the sub-region, and a third key monitoring group is generated;

[0071] The strategy unit generates corresponding strategies based on the first key monitoring group, the second key monitoring group and the third key monitoring group, including measures such as limiting exploitation intensity, increasing ecological compensation or optimizing water resource allocation.

[0072] The present invention provides a modeling method and system for regional water resources ecological security assessment, which has the following beneficial effects:

[0073] (1) The modeling method and system for the ecological security assessment of water resources in the region can accurately determine whether the groundwater recharge capacity of the mountain sub-region is insufficient by calculating the relative recharge ratio of surface water to groundwater Rf and combining it with the preset recharge capacity threshold X. Once it is detected that the recharge ratio of a certain area is lower than the threshold, the first warning instruction is generated to directly prohibit groundwater exploitation in the area, effectively preventing excessive exploitation from causing groundwater level drop and ecosystem degradation.

[0074] (2) The modeling method and system for the ecological security assessment of water resources in the region can dynamically track and control the exploitation situation in each sub-region by real-time monitoring of the water resource exploitation data of each sub-region and evaluating the exploitation intensity in combination with the exploitation intensity coefficient Kc. It can also timely identify over-exploited sub-regions, thereby providing a basis for formulating corresponding measures to limit exploitation intensity and effectively reducing resource waste and ecological risks.

[0075] (3) The modeling method and system for evaluating the ecological security of water resources in the region collects ecological environment data and water quality data, calculates and generates the ecological pressure coefficient Ep, and sets the pressure warning threshold Y, which can accurately identify potential ecological damage risk areas and generate the third key monitoring group. This process effectively combines ecological pressure and water quality data, and improves the depth and accuracy of the assessment of the ecological security of water resources in mountainous areas.

[0076] (4) The present invention adopts targeted control measures for areas of different risk categories through the hierarchical management model of the first key monitoring group, the second key monitoring group and the third key monitoring group, including limiting the intensity of exploitation, increasing ecological compensation and optimizing water resource allocation, so as to achieve scientific and efficient management of regional water resources. Combining the technical methods of real-time monitoring and dynamic data evaluation, the present invention overcomes the shortcomings of the traditional method and constructs an efficient dynamic early warning mechanism, which can quickly generate early warning instructions and propose specific control measures to ensure that water resource development and ecological protection issues in high-risk areas in mountainous areas can be responded to and handled in a timely manner. By comprehensively analyzing the recharge characteristics of surface water and groundwater, exploitation intensity and ecological pressure, the present invention can achieve the organic unity of water resource development and ecological protection in mountainous areas, promote regional ecological security and sustainable use of water resources, and provide a scientific and practical solution for water resource management in mountainous areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 A schematic diagram of the steps of the modeling method for regional water resources ecological security assessment of the present invention;

[0078] Figure 2 This is a flow chart of the modeling system for regional water resources ecological security assessment of the present invention. DETAILED DESCRIPTION

[0079] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0080] Example 1

[0081] See also Figure 1 The present invention provides a modeling method for regional water resources ecological security assessment, including:

[0082] S1. Obtain elevation data and topographic maps, surface water hydrological data and groundwater recharge data of the area to be evaluated; lock several mining sub-areas, and mark several sub-areas and main mining points with serial numbers;

[0083] S2. Calculate the groundwater recharge volume Q based on surface water hydrological data and groundwater recharge data x and net surface water recharge , and the groundwater recharge Q x and net surface water recharge The relative recharge ratio R between surface water and groundwater is calculated to evaluate the groundwater recharge capacity of each sub-region.f ; and preset the recharge capacity threshold X, if the relative recharge ratio of surface water and groundwater < recharge capacity threshold X, indicating that the groundwater recharge in the sub-region is insufficient, and the sub-region is classified into the first key monitoring group, and groundwater exploitation in the sub-region is prohibited;

[0084] S3. Real-time monitoring of water resource exploitation data of several sub-regions to generate an exploitation intensity set; based on the exploitation intensity set, construct and evaluate the exploitation intensity coefficient Kc, screen sub-regions with excessive exploitation intensity labels from several sub-regions, and summarize them to establish a second key monitoring group;

[0085] S4. Collect ecological environment data and water quality data in all mining sub-areas, construct an ecological pressure set, and generate an ecological pressure coefficient Ep of the sub-area based on the ecological pressure set, and preset a pressure warning threshold Y. If the ecological pressure coefficient Ep> the pressure warning threshold, it means that there is an ecological damage risk in the sub-area, and generate a third key monitoring group;

[0086] S5. Generate corresponding strategies based on the first key monitoring group, the second key monitoring group and the third key monitoring group, including taking measures to limit mining intensity, increase ecological compensation or optimize water resource allocation.

[0087] In this embodiment, by calculating the relative recharge ratio Rf of surface water and groundwater, combined with the preset recharge capacity threshold X, it is possible to accurately determine whether the groundwater recharge capacity of the mountain sub-region is insufficient. Once it is detected that the recharge ratio of a certain area is lower than the threshold, a first early warning instruction is generated to directly prohibit groundwater exploitation in the area, effectively preventing excessive exploitation from causing groundwater level drop and ecosystem degradation.

[0088] By real-time monitoring of water resource exploitation data in each sub-area and evaluating the exploitation intensity in combination with the exploitation intensity coefficient Kc, it is possible to dynamically track and control the exploitation situation in each sub-area and promptly identify over-exploited sub-areas, thereby providing a basis for formulating corresponding measures to limit exploitation intensity and effectively reducing resource waste and ecological risks.

[0089] By collecting ecological environment data and water quality data, calculating and generating the ecological pressure coefficient Ep, and setting the pressure warning threshold Y, it is possible to accurately identify potential ecological damage risk areas and generate the third key monitoring group. This process effectively combines ecological pressure and water quality data, and improves the depth and accuracy of the assessment of the ecological security of water resources in mountainous areas.

[0090] The present invention adopts targeted control measures for areas of different risk categories through the hierarchical management mode of the first key monitoring group, the second key monitoring group and the third key monitoring group, including limiting the intensity of exploitation, increasing ecological compensation and optimizing water resource allocation, so as to achieve scientific and efficient management of regional water resources. Combining the technical methods of real-time monitoring and dynamic data evaluation, the present invention overcomes the defects of the lag of traditional methods, constructs an efficient dynamic early warning mechanism, can quickly generate early warning instructions and propose specific control measures, and ensure that water resource development and ecological protection issues in high-risk areas in mountainous areas can be responded to and handled in a timely manner. By comprehensively analyzing the recharge characteristics of surface water and groundwater, the intensity of exploitation and ecological pressure, the present invention can achieve the organic unity of water resource development and ecological protection in mountainous areas, promote regional ecological security and sustainable use of water resources, and provide a scientific and practical solution for water resource management in mountainous areas.

[0091] Example 2

[0092] This embodiment is an explanation of the embodiment 1. Specifically, S1 includes:

[0093] S11, obtaining elevation data and topographic maps of the area to be evaluated, and using the elevation data and topographic maps to collect the slope and aspect topographic features of the sub-area;

[0094] Use aerial photography or satellite remote sensing images to draw distribution maps of surface water bodies such as rivers and lakes.

[0095] S12. Use field monitoring to obtain surface water hydrological data and groundwater recharge data in the area to be evaluated;

[0096] Surface water hydrological data include: runoff velocity , water volume change , average annual precipitation in the sub-region P, surface runoff and evaporation loss E;

[0097] Groundwater recharge data include: groundwater level change , aquifer permeability coefficient K and aquifer permeability area .

[0098] In this embodiment, the elevation data is combined with the slope and aspect characteristics to reflect the impact of the special terrain of mountainous areas on the distribution and replenishment process of water resources, making the model more in line with the geographical characteristics of mountainous areas. Taking into account the surface runoff and evaporation loss EEE, the dynamic change characteristics of water resources in mountainous areas can be accurately reflected, which helps to make up for the shortcomings of traditional methods in insufficient analysis of spatiotemporal distribution characteristics. The surface water distribution map drawn by aerial photography or satellite remote sensing images is combined with the hydrological data monitored in the field to improve the precise control of water resource distribution, replenishment process and change laws. By combining remote sensing imaging technology and field monitoring methods, the efficiency and accuracy of data acquisition are significantly improved.

[0099] Example 3

[0100] This embodiment is an explanation of the embodiment 1. Specifically, S2 includes:

[0101] S21. Set up groundwater observation wells in the sub-areas and conduct pumping experiments. During the pumping process, the water level of the aquifer around the well drops to form a funnel-shaped "falling funnel". Record the dynamic changes of the water level and obtain the groundwater level change. ;

[0102] S22. Extract the permeability area A of the aquifer from the groundwater recharge data x Combined with groundwater level changes , the groundwater recharge Q is calculated by the following formula x :

[0103] ;

[0104] Where K represents the permeability coefficient of the aquifer;

[0105] The permeability coefficient K of the aquifer includes: for loose rock and soil layer, K=10 −4 ~10 −5 m / s;

[0106] For fractured rock, K=10 −6 ~10 −8 m / s;

[0107] For alluvial fans in mountainous areas, K=10 −3 ~10 −4 m / s;

[0108] When the mountain fault zone, K=10 −3 ~10 −5 m / s; using the regionally refined aquifer permeability coefficient K, such as the different characteristics of loose rock and soil layers, fractured rock layers, mountain alluvial fans and mountain fault zones, the calculation results are more in line with the actual geological conditions.

[0109] represents the permeable area of ​​the aquifer, Indicates the change in groundwater level;

[0110] S23. Set up flow meters on the surface water in the sub-area to record the changes in water volume caused by changes in river water levels. , the net surface water recharge is calculated by the following formula: :

[0111] ;

[0112] In the formula, E represents evaporation loss, D represents surface runoff outflow; P represents the average annual precipitation in the sub-region; Represents the runoff velocity; the runoff velocity Ls is used to further refine the calculation of surface water recharge and improve the accuracy of capturing the dynamic characteristics of surface water.

[0113] S24. Extract the groundwater recharge Q calculated in S22-S23 x and net surface water recharge The relative recharge ratio of surface water and groundwater R is calculated by the following formula: f :

[0114] .

[0115] S25, preset the recharge capacity threshold X, and set the relative recharge ratio of surface water and groundwater Compare with the recharge capacity threshold X to make a preliminary assessment of groundwater recharge capacity, including:

[0116] Relative recharge ratio of local surface water and groundwater ≥ recharge capacity threshold X, indicating that the water resources recharge in the sub-region is balanced; the relative recharge ratio of local surface water and groundwater < recharge capacity threshold X, indicating that the groundwater recharge in the sub-area is insufficient, triggering the first early warning instruction, and counting the sub-areas of the first early warning instruction and aggregating them into the first key monitoring group.

[0117] In this embodiment, the relative recharge ratio of surface water and groundwater is R f It describes the recharge relationship between surface water and groundwater, that is, the relative contribution of the two in water resources supply. The value reflects whether the recharge capacity of groundwater depends on the replenishment of surface water, or whether there is a relative balance between the two. It can also be used to identify high-risk areas where groundwater is prone to depletion, so as to facilitate the formulation of water resources optimization scheduling plans.

[0118] Example 4

[0119] This embodiment is an explanation of the embodiment 1. Specifically, S3 includes:

[0120] S31. Real-time monitoring of water resource exploitation data of several sub-regions to generate an exploitation intensity set; using a convolutional neural network model CNN, constructing an initial convolutional neural network model, and training and testing the initial convolutional neural network model with surface water hydrological data, groundwater recharge data and an exploitation intensity set, and using the trained initial convolutional neural network model as a regional water resource evaluation model, while using the intermediate layer output of the convolutional neural network model CNN as a feature vector to identify feature information, and training and testing the regional water resource evaluation model through the acquired feature information, and using the trained regional water resource evaluation model as data for running prediction;

[0121] The extraction intensity set includes the following data: Daily average surface water extraction Q g , Average daily groundwater extraction Q s , the area of ​​the sub-region A, the total amount of surface water resources in the sub-region Z, the number of groundwater wells in the sub-region N w The total number of monitored groundwater sources in the sub-area N t ;

[0122] S32: Input the mining intensity set into the trained regional water resources assessment model, and combine it with the relative recharge ratio R of surface water and groundwater calculated in S24. f , after dimensionless processing, the mining intensity coefficient Kc is calculated by the following formula:

[0123] ;

[0124] In the formula, , , and represents the weight value, , , , ,and , because the groundwater recharge in mountainous areas is slow, the impact on the exploitation of groundwater resources is greater. ;

[0125] It indicates the groundwater exploitation intensity per unit area and reflects the spatial distribution characteristics of groundwater;

[0126] It represents the ratio of surface water extraction to the total water resources in the sub-region, and measures the sustainable use of surface water;

[0127] It indicates the density ratio of groundwater extraction points, reflecting the development degree of groundwater resources;

[0128] It indicates the recharge ratio of surface water to groundwater and is used to quantify the ecological balance between surface water and groundwater.

[0129] S33, preset the critical mining threshold F, and compare and analyze the mining intensity coefficient Kc in the sub-region with the critical mining threshold F, including: when the mining intensity coefficient Kc> the critical mining threshold F, it indicates that there is a risk of over-exploitation in the current sub-region that damages the stability of the water cycle in the mountain area, and a second early warning instruction is generated; when the mining intensity coefficient Kc≤the critical mining threshold F, it indicates that there is no risk of over-exploitation in the front region that damages the stability of the water cycle in the mountain area, and continuous monitoring is performed;

[0130] The sub-areas for which the second early warning instructions are generated will be labeled with excessive mining intensity and summarized to establish a second key monitoring group.

[0131] In this embodiment, a more efficient and dynamic water resource exploitation assessment method is provided through the combination of real-time data monitoring and machine learning models, which helps to avoid the risk of over-exploitation of water resources. Using convolutional neural networks (CNN) to predict and assess the status of water resources can discover patterns and problems that traditional methods cannot easily identify.

[0132] Example 5

[0133] This embodiment is an explanation of the embodiment 1. Specifically, S4 includes:

[0134] S41, collect ecological environment data and water quality data in all mining sub-areas and construct an ecological pressure set;

[0135] Ecological and environmental data include: soil moisture sd, vegetation coverage gl, vegetation evapotranspiration zfl and hydrological gradient I;

[0136] The hydrological gradient I is calculated using the following formula:

[0137] ;

[0138] in, It represents the average water level difference between surface water and groundwater measured at different locations in the sub-region. Indicates the average horizontal distance between surface water and groundwater; hydrological gradient I determines the direction of groundwater flow; hydrological gradient I flows from high water level area to low water level area. The flow path and recharge source of surface water to groundwater are determined according to the direction of hydrological gradient; if the surface water level is high, the water will flow to the low water level area, and vice versa;

[0139] Water quality data include: total heavy metal content hl, water acidity pH, dissolved oxygen concentration rhy;

[0140] The total heavy metal content in water is calculated by the following formula:

[0141] ;

[0142] Where N represents the total number of water quality samples at monitoring points in the sub-region; Represents the heavy metal content in water quality at the i-th monitoring point.

[0143] S42. After data cleaning and dimensionless processing of the ecological pressure set, the ecological pressure coefficient Ep of the sub-region is calculated using the following formula:

[0144] ;

[0145] In the formula, , , , , , and They represent the weights of soil moisture sd, vegetation coverage gl, vegetation evapotranspiration zfl, hydrological gradient I, total heavy metal content in water quality hl, water quality acidity pH and dissolved oxygen concentration rhy, respectively. , , , , , , ,and ;

[0146] S43, presetting a pressure warning threshold value Y, and comparing the ecological pressure coefficient Ep of the sub-region with the pressure warning threshold value Y to determine whether the ecological pressure of the sub-region is abnormal;

[0147] If the ecological pressure coefficient Ep> the pressure warning threshold Y, it means that the ecological pressure of the sub-region is abnormal, triggering the third warning instruction, and counting the sub-regions of the third warning instruction and summarizing them into the third key monitoring group;

[0148] If the ecological pressure coefficient Ep ≤ the pressure warning threshold Y, it means that the ecological pressure of the sub-area is qualified and continuous monitoring is required.

[0149] In this embodiment, by comprehensively collecting ecological environment and water quality data, basic data is provided for subsequent ecological pressure assessment and water resource management. The calculation of hydrological gradient helps to understand the dynamics of water flow and its replenishment relationship between surface water and groundwater, and provides an important basis for water resource scheduling and management. The calculation of the ecological pressure coefficient Ep combines a number of ecological environment and water quality data to provide a comprehensive assessment of the ecological pressure of the sub-region. By setting pressure thresholds and generating early warning instructions, the system can identify areas with abnormal ecological pressure in advance and take timely measures to prevent further deterioration of the ecosystem. Classifying areas with abnormal pressure into key monitoring groups will help concentrate resources and energy for more detailed tracking and management, ensuring that the ecological environment is effectively protected.

[0150] Example 6

[0151] This embodiment is an explanation of the embodiment 1. Specifically, S5 includes:

[0152] S51. Generate the first strategy for the first key monitoring group, including: 100% ban on mining; use conservation forest vegetation restoration and construction of infiltration areas to increase groundwater recharge by 30%-50% Q x , add at least one reservoir in the sub-region to increase the net surface water recharge 30%;

[0153] By prohibiting mining and implementing conservation forest restoration, groundwater and surface water resources have been effectively protected and further degradation of the ecological environment has been avoided.

[0154] Generate a second strategy for the second monitoring group, including: reducing the daily average surface water extraction Q g The number of groundwater wells Nw in the sub-region with a daily mining limit is reduced to 80%-90%; for areas where the vegetation coverage gl is lower than 40% of the sub-region area A*, the frequency of vegetation planting and irrigation is increased by 6%-10%, and 40% of the investment is used for vegetation restoration; for wetland degradation areas, the wetland area is restored and the water storage and purification functions of the wetlands are utilized, 30% of the ecological compensation funds are allocated to wetland restoration, water is diverted from reservoirs, and 30% of the ecological compensation budget is used for ecological water replenishment;

[0155] By reducing the amount of surface water and groundwater extraction, the pressure on water resources is relieved and the sustainable use of water resources is promoted. Increasing vegetation planting and irrigation frequency helps improve soil moisture retention and prevent soil erosion. Wetland restoration not only enhances water purification capacity, but also provides important ecological habitats and improves the ecological functions of water bodies.

[0156] The third strategy is generated for the third monitoring group, including: reducing the amount of exploitation by 10%-18%, guiding the transformation of high-water-consuming crops to low-water-consuming crops, and adjusting the irrigation method to drip irrigation or sprinkler irrigation; for areas where the vegetation coverage rate gl is lower than 30% of the sub-area area A*, increase the vegetation planting and irrigation frequency by 3%-5%, and invest 20% in vegetation restoration; for wetland degradation areas, restore the wetland area and utilize the water storage and purification functions of the wetlands, allocate 20% of the ecological compensation funds to wetland restoration, divert water from reservoirs, and use 20% of the ecological compensation budget for ecological water replenishment; introduce aeration equipment and artificial oxidation facilities to restore water quality.

[0157] Reducing the amount of water extracted and guiding the planting of low-water-consuming crops can help improve the efficiency of water resource utilization. Drip irrigation or sprinkler irrigation reduces water waste, improves irrigation efficiency, and reduces water resource consumption. Water quality restoration measures (such as aeration equipment and artificial oxidation facilities) improve the water quality of water bodies and enhance water purification functions.

[0158] In this embodiment, according to different monitoring groups (the first, second and third key monitoring groups), the system has formulated targeted management strategies, aiming to reduce the negative impact on the ecological environment and promote sustainable development through ecological restoration, reasonable water resource allocation and water quality improvement measures.

[0159] Example 7

[0160] Please refer to Figure 2 , a modeling system for regional water resources ecological security assessment, including:

[0161] The regional monitoring unit is used to obtain the elevation data and topographic map of the area to be evaluated, surface water hydrological data and groundwater recharge data; lock several mining sub-areas, and mark several sub-areas and main mining points with serial numbers;

[0162] The first analysis unit is used to calculate the groundwater recharge Q based on the surface water hydrological data and groundwater recharge data. x and net surface water recharge , and the groundwater recharge Q x and net surface water recharge The relative recharge ratio R between surface water and groundwater is calculated to evaluate the groundwater recharge capacity of each sub-region. f ; and preset the recharge capacity threshold X, if the relative recharge ratio of surface water and groundwater < recharge capacity threshold X, indicating that the groundwater recharge in the sub-region is insufficient, and the sub-region is classified into the first key monitoring group, and groundwater exploitation in the sub-region is prohibited;

[0163] The mining intensity collection unit is used to collect water resource mining data of several sub-regions in real time to generate a mining intensity set; and use the convolutional neural network model CNN to build and train a regional water resource evaluation model;

[0164] The second analysis unit is used to input the mining intensity set into the regional water resources evaluation model, analyze and calculate the mining intensity coefficient Kc and evaluate, screen out sub-regions with excessive mining intensity labels from a number of sub-regions, and summarize them to establish a second key monitoring group;

[0165] The ecological pressure collection unit is used to collect ecological environment data and water quality data in all mining sub-areas and construct an ecological pressure set;

[0166] The third analysis unit is used to generate an ecological pressure coefficient Ep of the sub-region according to the ecological pressure set, and preset a pressure warning threshold Y. If the ecological pressure coefficient Ep> the pressure warning threshold, it means that there is an ecological damage risk in the sub-region, and a third key monitoring group is generated;

[0167] The strategy unit generates corresponding strategies based on the first key monitoring group, the second key monitoring group and the third key monitoring group, including measures such as limiting exploitation intensity, increasing ecological compensation or optimizing water resource allocation.

[0168] In this embodiment, by real-time collection of geographic information, surface water hydrological data and groundwater recharge data, the system can accurately obtain the status of regional water resources, timely discover sub-regions with insufficient groundwater recharge, and generate early warning instructions to prevent over-exploitation and ensure the sustainable use of groundwater resources. The mining intensity acquisition unit can analyze the mining intensity and evaluate the mining intensity coefficient Kc through the water resource evaluation model constructed by the convolutional neural network model CNN. This process helps to screen out over-exploited sub-regions and take corresponding regulatory measures, such as limiting the mining intensity to avoid excessive exploitation from burdening the ecological environment and water resources. The ecological environment and water quality data are obtained through the ecological pressure acquisition unit to generate the ecological pressure coefficient Ep of the sub-region, and combined with the pressure warning threshold, the sub-region with a higher risk of ecological damage is discovered in time to ensure the timely implementation of ecological protection measures and reduce ecological environmental pressure. The system generates a corresponding water resource exploitation control mode by combining the first key monitoring group, the second key monitoring group and the third key monitoring group, and takes measures including limiting the mining intensity, increasing ecological compensation or optimizing water resource allocation to promote the sustainable management and ecological restoration of water resources in the region.

[0169] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0170] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A modeling method for regional water resources ecological security assessment, characterized in that: include: S1. Obtain elevation data and topographic maps, surface water hydrological data and groundwater recharge data of the area to be evaluated; lock several mining sub-areas, and mark several sub-areas and main mining points with serial numbers; S2. Calculate the groundwater recharge volume Q based on surface water hydrological data and groundwater recharge data x and net surface water recharge Q b , and the groundwater recharge Q x and net surface water recharge Q b The relative recharge ratio R between surface water and groundwater is calculated to evaluate the groundwater recharge capacity of each sub-region. f ; and preset the recharge capacity threshold X, if the relative recharge ratio of surface water and groundwater R f < recharge capacity threshold X, indicating that the groundwater recharge in the sub-region is insufficient, and the sub-region is classified into the first key monitoring group, and groundwater exploitation in the sub-region is prohibited; S2 includes: S21, setting up groundwater observation wells in the sub-area and conducting pumping experiments. During the pumping process, the water level of the aquifer around the well drops to form a funnel-shaped "falling funnel", and the dynamic change of the water level is recorded to obtain the groundwater level change ΔH; S22. Extract the permeability area A of the aquifer from the groundwater recharge data x Combined with the groundwater level change ΔH, the groundwater recharge Q is calculated using the following formula: x : Q x =K*A x *ΔH; Where K represents the permeability coefficient of the aquifer, including: for loose rock and soil layers, K = 10 -4 ~10 -5 m / s; for fractured rock, K = 10 -6 ~10 -8 m / s; for alluvial fans in mountainous areas, K = 10 -3 ~10 -4 m / s; in case of mountain fault zone, K=10 -3 ~10 -5 m / s; A x represents the permeability area of ​​the aquifer, and ΔH represents the change in groundwater level; S23. Set flow meters on the surface water in the sub-area to record the water volume change ΔV caused by the river water level change, and calculate the net surface water recharge Q using the following formula b : Q b =P+ΔV-E-D*Ls; In the formula, E represents evaporation loss, D represents surface runoff outflow; P represents the average annual precipitation in the sub-region; Ls represents runoff velocity; S24. Extract the groundwater recharge Q calculated in S22-S23 x and net surface water recharge Q b The relative recharge ratio of surface water and groundwater R is calculated by the following formula: f : S3. Real-time monitoring of water resource exploitation data of several sub-regions to generate an exploitation intensity set; based on the exploitation intensity set, construct and evaluate the exploitation intensity coefficient Kc, screen sub-regions with excessive exploitation intensity labels from several sub-regions, and summarize them to establish a second key monitoring group; S3 includes: S31, real-time monitoring of water resource exploitation data of several sub-regions to generate an exploitation intensity set; using a convolutional neural network model CNN, constructing an initial convolutional neural network model, and training and testing the initial convolutional neural network model with surface water hydrological data, groundwater recharge data and an exploitation intensity set, and using the trained initial convolutional neural network model as a regional water resource evaluation model, while using the intermediate layer output of the convolutional neural network model CNN as a feature vector to identify feature information, and training and testing the regional water resource evaluation model through the acquired feature information, and using the trained regional water resource evaluation model as data operation prediction; The extraction intensity set includes the following data: average daily surface water extraction volume Q g , Average daily groundwater extraction Q s , the area of ​​the sub-region A, the total amount of surface water resources in the sub-region Z, the number of groundwater wells in the sub-region N w The total number of monitored groundwater sources in the sub-area N t ; S32: Input the mining intensity set into the trained regional water resources assessment model, and combine it with the relative recharge ratio R of surface water and groundwater calculated in S24. f , after dimensionless processing, the mining intensity coefficient Kc is calculated by the following formula: Where w1, w2, w3 and w4 represent weight values. It indicates the groundwater exploitation intensity per unit area and reflects the spatial distribution characteristics of groundwater; It represents the ratio of surface water extraction to the total water resources in the sub-region, and measures the sustainable use of surface water; It indicates the density ratio of groundwater extraction points, reflecting the development degree of groundwater resources; R f It indicates the recharge ratio of surface water to groundwater and is used to quantify the ecological balance between surface water and groundwater. S33, preset the critical mining threshold F, and compare and analyze the mining intensity coefficient Kc in the sub-region with the critical mining threshold F, including: when the mining intensity coefficient Kc> the critical mining threshold F, it indicates that there is a risk of over-exploitation in the current sub-region that damages the stability of the water cycle in the mountain area, and a second early warning instruction is generated; when the mining intensity coefficient Kc≤the critical mining threshold F, it indicates that there is no risk of over-exploitation in the front region that damages the stability of the water cycle in the mountain area, and continuous monitoring is performed; The sub-areas that generate the second early warning instructions will be labeled with excessive mining intensity, and the labels will be summarized to establish the second key monitoring group; S4. Collect ecological environment data and water quality data in all mining sub-areas, construct an ecological pressure set, and generate an ecological pressure coefficient Ep of the sub-area based on the ecological pressure set, and preset a pressure warning threshold Y. If the ecological pressure coefficient Ep> the pressure warning threshold, it means that there is an ecological damage risk in the sub-area, and generate a third key monitoring group; S5. Generate corresponding strategies based on the first key monitoring group, the second key monitoring group and the third key monitoring group, including taking measures to limit mining intensity, increase ecological compensation or optimize water resource allocation.

2. The modeling method for regional water resources ecological security assessment according to claim 1 is characterized in that: S1 includes: S11, obtaining elevation data and topographic maps of the area to be evaluated, and using the elevation data and topographic maps to collect the slope and aspect topographic features of the sub-area; Use aerial photography or satellite remote sensing images to draw distribution maps of surface water bodies such as rivers and lakes.

3. The modeling method for regional water resources ecological security assessment according to claim 1 is characterized in that: S1 also includes: S12. Use field monitoring to obtain surface water hydrological data and groundwater recharge data in the area to be evaluated; The surface water hydrological data include: runoff velocity Ls, water volume change ΔV, average annual precipitation P in the sub-region, surface runoff volume D and evaporation loss E; The groundwater recharge data include: groundwater level change ΔH, aquifer permeability coefficient K and aquifer permeability area A x .

4. The modeling method for regional water resources ecological security assessment according to claim 1 is characterized in that: S2 also includes: S25, preset the recharge capacity threshold X, and set the relative recharge ratio of surface water and groundwater R f Compare with the recharge capacity threshold X to make a preliminary assessment of groundwater recharge capacity, including: The relative recharge ratio of local surface water and groundwater is R f ≥ recharge capacity threshold X, indicating that the water resources recharge in the sub-region is balanced; the relative recharge ratio of surface water and groundwater R f < recharge capacity threshold X, indicating that the groundwater recharge in the sub-area is insufficient, triggering the first early warning instruction, and counting the sub-areas of the first early warning instruction and aggregating them into the first key monitoring group.

5. The modeling method for regional water resources ecological security assessment according to claim 1 is characterized in that: S4 include: S41, collect ecological environment data and water quality data in all mining sub-areas and construct an ecological pressure set; The ecological environment data include: soil moisture sd, vegetation coverage gl, vegetation evapotranspiration zfl and hydrological gradient I; The hydrological gradient I is calculated by the following formula: Among them, Δh represents the difference in average water levels between surface water and groundwater measured at different locations in the sub-region, and Δd represents the average horizontal distance between surface water and groundwater. The hydrological gradient I determines the direction of groundwater flow. The hydrological gradient I flows from the high water level area to the low water level area. The flow path and recharge source of surface water to groundwater are determined according to the direction of the hydrological gradient. If the surface water level is high, the water will flow to the low water level area, and vice versa. The water quality data include: total heavy metal content hl of water quality, water acidity pH, dissolved oxygen concentration rhy; The total heavy metal content of water quality hl is calculated by the following formula: Where N represents the total number of water quality samples at monitoring points in the sub-region; i Represents the heavy metal content in water quality at the i-th monitoring point.

6. The modeling method for regional water resources ecological security assessment according to claim 5 is characterized in that: S4 also includes: S42. After data cleaning and dimensionless processing of the ecological pressure set, the ecological pressure coefficient Ep of the sub-region is calculated using the following formula: In the formula, w5, w6, w7, w8, w9, w 10 and w 11 They represent the weight values ​​of soil moisture sd, vegetation coverage gl, vegetation evapotranspiration zfl, hydrological gradient I, total content of heavy metals in water quality hl, water quality acidity pH and dissolved oxygen concentration rhy respectively; S43, presetting a pressure warning threshold value Y, and comparing the ecological pressure coefficient Ep of the sub-region with the pressure warning threshold value Y to determine whether the ecological pressure of the sub-region is abnormal; If the ecological pressure coefficient Ep> the pressure warning threshold Y, it means that the ecological pressure of the sub-region is abnormal, triggering the third warning instruction, and counting the sub-regions of the third warning instruction and summarizing them into the third key monitoring group; If the ecological pressure coefficient Ep ≤ the pressure warning threshold Y, it means that the ecological pressure of the sub-area is qualified and continuous monitoring is required.

7. The modeling method for regional water resources ecological security assessment according to claim 1 is characterized in that S5 include: S51. Generate the first strategy for the first key monitoring group, including: 100% ban on mining; use conservation forest vegetation restoration and construction of infiltration areas to increase groundwater recharge by 30%-50% Q x , add at least one reservoir in the sub-region to increase the net surface water recharge Q b 30%; Generate a second strategy for the second monitoring group, including: reducing the daily average surface water extraction Q g The number of groundwater wells Nw in the sub-region with a daily mining limit is reduced to 80%-90%; for areas where the vegetation coverage gl is lower than 40% of the sub-region area A*, the frequency of vegetation planting and irrigation is increased by 6%-10%, and 40% of the investment is used for vegetation restoration; for wetland degradation areas, the wetland area is restored and the water storage and purification functions of the wetlands are utilized, 30% of the ecological compensation funds are allocated to wetland restoration, water is diverted from reservoirs, and 30% of the ecological compensation budget is used for ecological water replenishment; The third strategy is generated for the third monitoring group, including: reducing the amount of exploitation by 10%-18%, guiding the transformation of high-water-consuming crops to low-water-consuming crops, and adjusting the irrigation method to drip irrigation or sprinkler irrigation; for areas where the vegetation coverage rate gl is lower than 30% of the sub-area area A*, increase vegetation planting and irrigation frequency by 3%-5%, and invest 20% in vegetation restoration; for wetland degradation areas, restore the wetland area and utilize the water storage and purification functions of the wetlands, allocate 20% of the ecological compensation funds to wetland restoration, divert water from reservoirs, and use 20% of the ecological compensation budget for ecological water replenishment; introduce aeration equipment and artificial oxidation facilities to restore water quality.

8. A modeling system for regional water resources ecological security assessment, applied to the modeling method for regional water resources ecological security assessment according to any one of claims 1 to 7, characterized in that: include: The regional monitoring unit is used to obtain the elevation data and topographic map of the area to be evaluated, surface water hydrological data and groundwater recharge data; lock several mining sub-areas, and mark several sub-areas and main mining points with serial numbers; The first analysis unit is used to calculate the groundwater recharge Q based on the surface water hydrological data and groundwater recharge data. x and net surface water recharge Q b , and the groundwater recharge Q x and net surface water recharge Q b The relative recharge ratio R between surface water and groundwater is calculated to evaluate the groundwater recharge capacity of each sub-region. f ; and preset the recharge capacity threshold X, if the relative recharge ratio of surface water and groundwater R f < recharge capacity threshold X, indicating that the groundwater recharge in the sub-region is insufficient, and the sub-region is classified into the first key monitoring group, and groundwater exploitation in the sub-region is prohibited; The mining intensity collection unit is used to collect water resource mining data of several sub-regions in real time to generate a mining intensity set; and use the convolutional neural network model CNN to build and train a regional water resource evaluation model; The second analysis unit is used to input the mining intensity set into the regional water resources evaluation model, analyze and calculate the mining intensity coefficient Kc and evaluate, screen out sub-regions with excessive mining intensity labels from a number of sub-regions, and summarize them to establish a second key monitoring group; The ecological pressure collection unit is used to collect ecological environment data and water quality data in all mining sub-areas and construct an ecological pressure set; The third analysis unit is used to generate an ecological pressure coefficient Ep of the sub-region according to the ecological pressure set, and preset a pressure warning threshold Y. If the ecological pressure coefficient Ep> the pressure warning threshold, it means that there is an ecological damage risk in the sub-region, and a third key monitoring group is generated; The strategy unit generates corresponding strategies based on the first key monitoring group, the second key monitoring group and the third key monitoring group, including measures such as limiting exploitation intensity, increasing ecological compensation or optimizing water resource allocation.

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