Intelligent ecological environment partition management and control system and method

Abstract

The invention relates to the technical field of data processing, in particular to an intelligent ecological environment partition management and control system and method, and the system comprises an ecological environment data collection module, an ecological environment quality evaluation module, an ecological environment management and control module and an ecological system database. According to the intelligent ecological environment zoning management and control system and method provided by the invention, the environment pollution degree evaluation index, the natural resource utilization efficiency evaluation index and the ecological system service quality evaluation index of each environment control area are comprehensively analyzed, and the comprehensive analysis method not only can comprehensively evaluate the regional ecological environment quality, but also can comprehensively evaluate the ecological environment quality. And standardization of ecological environment quality evaluation is also realized, and objectivity and consistency of evaluation results are ensured. By comparing different indexes, main problems and weak links influencing the regional ecological environment quality can be identified, and a basis is provided for formulating a targeted environmental protection strategy. And sustainable development of the region can be realized.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to an intelligent ecological environment zoning management and control system and method. Background Art

[0002] With the development of social economy and the increasing prominence of ecological and environmental problems, the need for effective management and protection of the ecological environment is becoming more and more urgent. At the same time, the development of modern information technology, especially big data and artificial intelligence, has made intelligent management of the ecological environment possible.

[0003] For example, the invention patent with publication number CN117993556A is an intelligent ecological environment zoning management and control system. The system includes a monitoring strategy optimization module, an intelligent scheduling algorithm module, a resource allocation decision module, an anomaly detection and preventive maintenance module, a data flow analysis and management module, an automatic adjustment feedback module, an environmental monitoring and response module, and a system comprehensive management module. In the present invention, by adopting statistical methods such as variance analysis and chi-square test, the monitoring strategy optimization module can more scientifically evaluate and select the most effective monitoring strategy, thereby improving the accuracy and response speed of monitoring. Secondly, the introduction of the intelligent scheduling algorithm module, combined with neural networks and reinforcement learning, makes the equipment operation plan more intelligent and efficient, which not only reduces energy consumption, but also improves monitoring efficiency. The resource allocation decision module can provide the optimal resource allocation plan under complex and uncertain environmental conditions through the Markov decision process model.

[0004] For example, the invention patent with publication number CN112330081A is a method for evaluating the effect of watershed management based on water ecological environment functional zoning units. According to the characteristics of the watershed, a water ecological environment functional zone control unit division index system and control unit ecological function evaluation index coefficients are established, and a comprehensive management technology library is established. Using the analysis model of the technology library, on the basis of dividing the water ecological environment functional zone control units in the watershed, the rationality of the management measures and engineering measures taken for watershed management is judged, and the management effect of the watershed is assessed and evaluated based on the comprehensive score.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of this application, this application found that the above technology has at least the following technical problems: the current traditional ecological environment zoning management method often fails to achieve a systematic quality assessment of the ecological environment, and it is difficult to comprehensively and accurately reflect the comprehensive quality of the ecological environment. Summary of the Invention

[0006] In view of the shortcomings of the existing technology, the present invention provides an intelligent ecological environment zoning management and control system and method, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides an intelligent ecological environment zoning management and control system, including: an ecological environment data acquisition module, used to obtain the basic characteristic data of the target ecological area, and divide the target ecological area into regions based on the basic characteristic data, mark them into various environmental control areas, and collect the ecological environment data of each environmental control area, wherein the ecological environment data includes environmental pollution data, natural resource utilization data and ecosystem service data.

[0008] The ecological environment quality assessment module is used to obtain the environmental pollution degree assessment index of each environmental control area based on the environmental pollution data of each environmental control area, obtain the natural resource quality assessment index of each environmental control area based on the natural resource utilization data of each environmental control area, obtain the ecosystem service quality assessment index of each environmental control area based on the ecosystem service data of each environmental control area, and obtain the ecological environment quality assessment indicators of each environmental control area through comprehensive analysis.

[0009] The ecological environment control module is used to control the ecological environment of each environmental control area based on the ecological environment quality assessment indicators of each environmental control area.

[0010] As a further method, the target ecological region is divided into regions based on the basic characteristic data. The specific division process is as follows: deploying a number of environmental monitoring points, collecting basic characteristic data of the target ecological region, the basic characteristic data including the groundwater level, soil pH value and vegetation coverage of each environmental monitoring point, extracting the critical groundwater level, reference standard soil pH value, allowable deviation soil pH value and critical vegetation coverage from the ecosystem database, and comprehensively analyzing to obtain the environmental characteristic value of each environmental monitoring point;

[0011] The environmental characteristic value intervals and regional division critical distances are extracted from the ecosystem database, and the environmental characteristic values ​​of each environmental monitoring point are matched with the environmental characteristic value intervals. If the distance between two environmental monitoring points is less than or equal to the regional division critical distance, and the corresponding environmental characteristic values ​​are in the same environmental characteristic value interval, the areas corresponding to the two environmental monitoring points are divided into the same area, and the divided areas are marked as environmental control areas.

[0012] As a further method, the environmental pollution data of each environmental control area is processed to obtain an environmental pollution degree assessment index for each environmental control area. The specific process is: deploying a number of environmental monitoring points, collecting environmental pollution data of each environmental control area, the environmental pollution data of each environmental control area including the ozone concentration, total nitrogen content in water and heavy metal content in soil at each environmental monitoring point in each environmental control area, extracting the critical ozone concentration, critical total nitrogen content in water and critical heavy metal content from the ecosystem database, and comprehensively analyzing to obtain the environmental pollution degree assessment index for each environmental control area.

[0013] As a further method, the natural resource quality assessment index of each environmental control area is obtained based on the natural resource utilization data of each environmental control area. The specific process is: collecting the natural resource utilization data of each environmental control area, the natural resource utilization data of each environmental control area includes the soil erosion rate and soil salinization area of ​​each environmental control area, extracting the critical soil erosion rate and critical soil salinization area from the ecosystem database, and comprehensively analyzing to obtain the natural resource quality assessment index of each environmental control area.

[0014] As a further method, the ecosystem service quality assessment index of each environmental control area is obtained based on the ecosystem service data of each environmental control area. The specific process is: deploying a number of historical time monitoring points, collecting ecosystem service data of each environmental control area, the ecosystem service data of each environmental control area including the species diversity index and net primary productivity of each environmental monitoring point in each environmental control area at each historical time monitoring point, and collecting the species diversity index and net primary productivity of each environmental monitoring point in each environmental control area at the current time point, and comprehensively analyzing to obtain the ecosystem service quality assessment index of each environmental control area.

[0015] As a further method, the comprehensive analysis obtains the ecological environment quality assessment indicators of each environmental control area. The specific analysis process is: based on the environmental pollution degree assessment index of each environmental control area, the natural resource quality assessment index of each environmental control area and the ecosystem service quality assessment index of each environmental control area, the comprehensive analysis obtains the ecological environment quality assessment indicators of each environmental control area. The ecological environment quality assessment indicators of each environmental control area are used to quantitatively assess the ecological environment quality of each environmental control area, and provide a basis for the ecological environment management and control of each environmental control area.

[0016] As a further method, the ecological environment of each environmental control area is controlled according to the ecological environment quality assessment index of each environmental control area. The specific process is: extracting the threshold value of the ecological environment quality assessment index of each environmental control area from the ecosystem database, comparing the ecological environment quality assessment index of each environmental control area with the threshold value of the ecological environment quality assessment index of each environmental control area; if the ecological environment quality assessment index of a certain environmental control area is higher than or equal to the threshold value of the ecological environment quality assessment index of the environmental control area, then the ecological environment quality of the environmental control area is assessed as qualified, and the original control measures are maintained; if the ecological environment quality assessment index of a certain environmental control area is lower than the threshold value of the ecological environment quality assessment index of the environmental control area, then the ecological environment quality of the environmental control area is assessed as unqualified, and the environmental control area is controlled according to the ecological environment data.

[0017] As a further method, the environmental characteristic values ​​of each environmental monitoring point are specifically expressed as follows:

[0018]

[0019] Where, represents the environmental characteristic value of the i-th environmental monitoring point, i represents the number of each environmental monitoring point, i=1,2,3,...,t, t represents the total number of environmental monitoring points, D i represents the groundwater level at the i-th environmental monitoring point, E i represents the soil pH value at the i-th environmental monitoring point, F i represents the vegetation coverage of the i-th environmental monitoring point, represents the critical groundwater level, E 0 It represents the reference standard soil pH value, ΔE represents the allowable deviation soil pH value, represents the critical vegetation coverage, ε1 represents the environmental characteristic influencing factor corresponding to the preset groundwater level, ε2 represents the environmental characteristic influencing factor corresponding to the preset soil pH value, and ε3 represents the environmental characteristic influencing factor corresponding to the preset vegetation coverage.

[0020] As a further method, the specific numerical expression of the ecological environment quality assessment index of each environmental control area is:

[0021]

[0022] Where, represents the ecological environment quality assessment index of the rth environmental control area, represents the environmental pollution degree assessment index of the rth environmental control area, represents the natural resource quality assessment index of the rth environmental control area, represents the ecosystem service quality assessment index of the rth environmental control area, ω1 represents the ecological environment quality assessment index corresponding to the preset environmental pollution degree assessment index of the environmental control area, ω2 represents the ecological environment quality assessment index corresponding to the preset natural resource quality assessment index of the environmental control area, and ω3 represents the ecological environment quality assessment index corresponding to the preset environmental control area ecosystem service quality assessment index.

[0023] The second aspect of the present invention provides an intelligent ecological environment zoning management and control method, including: obtaining basic characteristic data of the target ecological area, and dividing the target ecological area into regions based on the basic characteristic data, marking them into various environmental control areas, and collecting ecological environment data of each environmental control area, wherein the ecological environment data includes environmental pollution data, natural resource utilization data and ecosystem service data.

[0024] The environmental pollution degree assessment index of each environmental control area is obtained by processing the environmental pollution data of each environmental control area.

[0025] The natural resource quality assessment index of each environmental control area is obtained based on the natural resource utilization data of each environmental control area.

[0026] The ecosystem service quality assessment index of each environmental control area was obtained based on the ecosystem service data of each environmental control area.

[0027] A comprehensive analysis of the environmental pollution degree assessment index, natural resource utilization efficiency assessment index and ecosystem service quality assessment index of each environmental control area was conducted to obtain the ecological environment quality assessment indicators of each environmental control area.

[0028] The ecological environment of each environmental control area is controlled and managed based on the ecological environment quality assessment indicators of each environmental control area.

[0029] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0030] (1) The present invention provides an intelligent ecological environment zoning management and control system and method, which comprehensively analyzes the environmental pollution degree assessment index, natural resource utilization efficiency assessment index, and ecosystem service quality assessment index of each environmental control area. This comprehensive analysis method provides a comprehensive perspective and can more comprehensively evaluate the regional ecological environment quality. By comparing different indices, the main problems and weak links affecting the regional ecological environment quality can be identified, providing a basis for formulating targeted environmental protection strategies. This will help achieve sustainable development in the region.

[0031] (2) By introducing regional environmental monitoring and combining regional environmental characteristics and needs, the present invention divides environmental characteristic value intervals and spatial distances into regions. This allows for refined management of environmental control areas, more rational and targeted control of regional pollution sources and ecological restoration, effectively improving the effectiveness of ecological environmental management and providing scientific guidance and basis for management. It also helps identify high-risk areas, facilitating environmental risk management and emergency response preparation.

[0032] (3) The present invention achieves the standardization of ecological environment quality assessment by using a unified assessment index threshold, ensuring the objectivity and consistency of the assessment results. It helps to achieve standardized management and control of environmental control areas and improve the level of service supervision and management. By regularly comparing assessment indicators with thresholds and other analyses, changes in regional ecological environment quality can be dynamically monitored and control measures can be adjusted in a timely manner. At the same time, through the cycle of assessment and control processes, each environmental control area can be effectively motivated to continuously improve the ecological environment quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without inventive effort.

[0034] Figure 1 This is a schematic diagram of system module connections of the present invention.

[0035] Figure 2 Schematic diagram of the method of the present invention.

[0036] Figure 3 This is a schematic diagram of the functional relationship between the land erosion rate in the environmental control area and the natural resource quality assessment index in the environmental control area involved in an embodiment of the present invention.

[0037] Figure 4 Schematic diagram of the functional relationship between ozone concentration and environmental pollution degree assessment index of environmental control area involved in an embodiment of the present invention.

[0038] Figure 5 Schematic diagram of the functional relationship between the total nitrogen content of water bodies and the environmental pollution degree assessment index of the environmental control area involved in an embodiment of the present invention.

[0039] Figure 6 Schematic diagram of the functional relationship between vegetation coverage and environmental characteristic values ​​involved in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0041] Reference Figure 1 As shown, the first aspect of the present invention provides an intelligent ecological environment zoning management and control system, including: an ecological environment data acquisition module, used to obtain basic characteristic data of the target ecological area, and divide the target ecological area into regions based on the basic characteristic data, mark them into various environmental control areas, and collect ecological environment data of each environmental control area, wherein the ecological environment data includes environmental pollution data, natural resource utilization data and ecosystem service data.

[0042] Specifically, the target ecological area is divided into regions based on the basic characteristic data. The specific division process is: deploy a number of environmental monitoring points, collect the basic characteristic data of the target ecological area, the basic characteristic data include the groundwater level, soil pH and vegetation coverage of each environmental monitoring point, extract the critical groundwater level, reference standard soil pH, allowable deviation soil pH and critical vegetation coverage from the ecosystem database, and conduct comprehensive analysis to obtain the environmental characteristic values ​​of each environmental monitoring point.

[0043] The environmental characteristic value intervals and regional division critical distances are extracted from the ecosystem database, and the environmental characteristic values ​​of each environmental monitoring point are matched with the environmental characteristic value intervals. If the distance between two environmental monitoring points is less than or equal to the regional division critical distance, and the corresponding environmental characteristic values ​​are in the same environmental characteristic value interval, the areas corresponding to the two environmental monitoring points are divided into the same area, and the divided areas are marked as environmental control areas.

[0044] It should be explained that the above process, by dividing environmental monitoring points into zones based on environmental characteristic value ranges and spatial distances, enables refined management of environmental control areas. Refined regional divisions facilitate more accurate identification and response to environmental issues in different regions. The divided regions share similar environmental characteristics, facilitating the formulation of targeted environmental policies and management measures. Decisions and responses to environmental issues in specific regions can be made more quickly. Resources for environmental protection and restoration can also be more rationally allocated based on regional environmental characteristics and needs, avoiding resource waste and improving resource efficiency. The similar environmental characteristics of monitoring points within the same region also enhance the comparability of monitoring data and the accuracy of analytical results. This facilitates regional environmental quality assessments and trend analysis. Furthermore, this data-driven regional division approach enhances the scientific nature of environmental policies and reduces the uncertainty inherent in subjective judgments. Clear regional divisions also help identify high-risk areas, facilitating environmental risk management and emergency response preparation. In the event of an environmental pollution incident, affected areas can be quickly located and effective measures implemented. Through effective regional division and management, the above process contributes to achieving regional sustainable development goals.

[0045] It should be understood that the environmental characteristic values ​​of each environmental monitoring point in this embodiment are quantitative assessment data obtained through a comprehensive analysis of the groundwater level, soil pH and vegetation coverage of each environmental monitoring point, which are used to quantify the degree to which the target ecological area is affected by the environment of each environmental monitoring point, and provide a basis for regional division.

[0046] In a specific embodiment, the numerical expression of the environmental characteristic value of each environmental monitoring point is:

[0047]

[0048] Where, represents the environmental characteristic value of the i-th environmental monitoring point, e represents the natural constant, i represents the number of each environmental monitoring point, i=1,2,3,...,t, t represents the total number of environmental monitoring points, D i represents the groundwater level at the i-th environmental monitoring point, E i represents the soil pH value at the i-th environmental monitoring point, F i represents the vegetation coverage of the i-th environmental monitoring point, represents the critical groundwater level, E 0 It represents the reference standard soil pH value, ΔE represents the allowable deviation soil pH value, represents the critical vegetation coverage, ε1 represents the environmental characteristic influencing factor corresponding to the preset groundwater level, ε2 represents the environmental characteristic influencing factor corresponding to the preset soil pH value, and ε3 represents the environmental characteristic influencing factor corresponding to the preset vegetation coverage.

[0049] It should be understood that, from this embodiment, the higher the groundwater level at the environmental monitoring point, the smaller the deviation value of the soil pH value at the environmental monitoring point, and the higher the vegetation coverage rate, the smaller the environmental characteristic value of the corresponding environmental monitoring point. It should be explained that the environmental characteristic value of the environmental monitoring point represents the degree to which the target ecological area is affected by the environment of the environmental monitoring point, and the impact is a negative impact.

[0050] Table 1 Data examples of environmental characteristic values ​​at each environmental monitoring point

[0051]

[0052] It should be understood that in this embodiment, the critical groundwater level is set to 5 meters, the reference standard soil pH is set to 7, the allowable deviation soil pH is set to 2, the critical vegetation coverage is set to 0.7, the environmental characteristic impact factor corresponding to the groundwater level is set to 0.5, the environmental characteristic impact factor corresponding to the soil pH is set to 0.3, and the environmental characteristic impact factor corresponding to the vegetation coverage is set to 0.2.

[0053] It should be understood that if Figure 6 As shown, curve 1 represents the relationship between vegetation coverage and environmental characteristic values ​​when the groundwater level is 4.5 cm and the soil pH is 6.5, curve 2 represents the relationship between vegetation coverage and environmental characteristic values ​​when the groundwater level is 3.5 cm and the soil pH is 7.2, and curve 3 represents the relationship between vegetation coverage and environmental characteristic values ​​when the groundwater level is 6 cm and the soil pH is 7.8, wherein the environmental characteristic influencing factor corresponding to the groundwater level is set to 0.5, the environmental characteristic influencing factor corresponding to the soil pH is set to 0.3, the environmental characteristic influencing factor corresponding to the vegetation coverage is set to 0.2, the critical groundwater level is set to 10 cm, the reference standard soil pH is set to 7, the allowable deviation soil pH is set to 1, and the critical vegetation coverage is set to 50%.

[0054] It should be explained that in this embodiment, ε1 is the environmental characteristic influencing factor corresponding to the preset groundwater level, which represents the numerical value of the degree of influence of the groundwater level on the environmental characteristic value of the environmental monitoring point. When used, the environmental characteristic influencing factor corresponding to the groundwater level can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the groundwater level of the environmental monitoring point and the environmental characteristic influencing factor corresponding to the preset groundwater level in the ecosystem database form a mapping set, and the real-time groundwater level of the environmental monitoring point is input into the mapping set to obtain the environmental characteristic influencing factor corresponding to the groundwater level. The mapping relationship can be one-to-one or many-to-one.

[0055] It should be explained that in this embodiment, ε2 is the environmental characteristic influencing factor corresponding to the preset soil pH value, which represents the numerical value of the degree of influence of the soil pH value on the environmental characteristics. When used, the environmental characteristic influencing factor corresponding to the soil pH value can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the soil pH value at the environmental monitoring point and the environmental characteristic influencing factor corresponding to the preset soil pH value in the ecosystem database form a mapping set, and the real-time soil pH value is input into the mapping set to obtain the environmental characteristic influencing factor corresponding to the soil pH value. The mapping relationship can be one-to-one or a many-to-one relationship.

[0056] It should be explained that in this embodiment, ε3 is the environmental characteristic influencing factor corresponding to the preset vegetation coverage, which represents the numerical value of the degree of influence of the unit value of vegetation coverage on the environmental characteristics. When used, the environmental characteristic influencing factor corresponding to the vegetation coverage can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the vegetation coverage of the environmental monitoring point and the environmental characteristic influencing factor corresponding to the preset vegetation coverage in the ecosystem database form a mapping set, and the real-time vegetation coverage is input into the mapping set to obtain the environmental characteristic influencing factor corresponding to the vegetation coverage. The mapping relationship can be one-to-one or a many-to-one relationship.

[0057] It should be explained that the above-mentioned impact factors are all extracted from the ecosystem database, and the value range is between 0 and 1.

[0058] It should be noted that in this embodiment, groundwater levels are crucial to the health of the ecosystem. Groundwater levels can be measured in situ by installing groundwater level gauges. When water levels are adequate, they maintain wetland ecosystems, replenish rivers and lakes, and support plant growth. However, low water levels can lead to drought in the ecosystem, impacting plant survival and animal habitats. Groundwater levels are a key indicator for assessing the sustainability of water resources. Long-term declines in water levels may indicate overexploitation or the impacts of climate change. Groundwater levels affect soil moisture, which in turn affects soil fertility and plant growth. Furthermore, groundwater can influence surface water through the water cycle. Groundwater directly recharges surface water systems through springs, seepage, and injection. This recharge is particularly important during dry seasons or in areas with little rainfall, where it becomes a crucial source for maintaining river and lake water levels. Groundwater recharge can alleviate seasonal shortages of surface water resources and maintain a relatively stable water supply. Groundwater is a critical reserve source of surface water, providing a stable water source for surface water systems over long periods of time. When surface water systems face drought or other water shortages, groundwater can be developed and utilized as a backup water source. Furthermore, groundwater undergoes a series of physical, chemical, and biological processes within the subsurface, removing many impurities and pollutants from surface water, thereby improving its quality. When groundwater naturally flows into rivers or lakes, it mixes with surface water, further improving its quality. This purification process is crucial for protecting aquatic ecosystems and ensuring human drinking water safety. Groundwater systems have a significant water storage capacity, providing a stable supply of water to surface water systems and maintaining water levels in rivers, lakes, and wetlands. This recharge is particularly significant during dry seasons or in areas experiencing prolonged drought, effectively alleviating surface water shortages. Groundwater also contributes to the broader water cycle by replenishing moisture from the atmosphere through evaporation and transpiration, which in turn forms precipitation. This water regulation helps maintain the water balance of surface water systems and promotes the sustainable use of water resources. Finally, by replenishing surface water systems, groundwater maintains the water levels and humidity of ecosystems such as wetlands and rivers, providing a suitable habitat for aquatic animals and wetland plants. This effect helps protect biodiversity and maintain the balance and stability of the ecosystem. At the same time, groundwater circulation can also promote the self-purification capacity of the surface water system and improve the anti-interference ability of the entire water environment. Soil pH can be obtained by collecting soil samples on site and measuring the pH value in the laboratory. Soil pH affects the availability of soil nutrients. For example, overly acidic or overly alkaline soil may limit the growth of certain plants and affect the activity of soil microorganisms. Different plant species have different adaptability to soil pH. Soil pH affects plant community structure and species diversity. Soil pH affects the solubility and mobility of heavy metals and organic pollutants, thereby affecting the quality of soil and groundwater.Areas with high vegetation cover generally have more stable ecosystems and are better able to withstand erosion and climate change. Vegetation cover can be obtained by analyzing spatial vegetation cover data contained in a geographic information system platform. Vegetation cover is an important indicator of biodiversity, and high cover generally indicates higher biodiversity. Vegetation cover affects the energy balance of the earth's surface, helping to regulate regional climate and reduce soil erosion. Changes in groundwater levels can affect soil pH and vegetation growth, and vice versa. For example, a drop in groundwater levels can cause soil to become more alkaline, affecting vegetation cover. Comprehensive analysis of these three parameters allows for a more accurate and comprehensive assessment of environmental characteristics.

[0059] The ecological environment quality assessment module is used to obtain the environmental pollution degree assessment index of each environmental control area based on the environmental pollution data of each environmental control area, obtain the natural resource quality assessment index of each environmental control area based on the natural resource utilization data of each environmental control area, obtain the ecosystem service quality assessment index of each environmental control area based on the ecosystem service data of each environmental control area, and obtain the ecological environment quality assessment indicators of each environmental control area through comprehensive analysis.

[0060] Specifically, the environmental pollution degree assessment index of each environmental control area is obtained based on the environmental pollution data of each environmental control area. The specific process is: deploying a number of environmental monitoring points, collecting environmental pollution data of each environmental control area, the environmental pollution data of each environmental control area including the ozone concentration, total nitrogen content in water and heavy metal content in soil at each environmental monitoring point of each environmental control area, extracting the critical ozone concentration, critical total nitrogen content in water and critical heavy metal content from the ecosystem database, and comprehensively analyzing to obtain the environmental pollution degree assessment index of each environmental control area.

[0061] It should be understood that the environmental pollution degree assessment index of each environmental control area in this embodiment is a quantitative assessment data obtained by comprehensively analyzing the ozone concentration, total nitrogen content in water bodies and heavy metal content in soil at each environmental monitoring point in each environmental control area. It is used to quantify the degree of environmental pollution in each environmental control area and provide a basis for the assessment of the ecological environment quality of each environmental control area.

[0062] In a specific embodiment, the numerical expression of the environmental pollution degree assessment index of each environmental control area is:

[0063]

[0064] Where, represents the environmental pollution degree assessment index of the rth environmental control area, e represents the natural constant, r represents the number of each environmental control area, r=1,2,3,...,h, h represents the total number of environmental control areas, n represents the number of each environmental monitoring point, n=1,2,3,...,m, m represents the total number of environmental monitoring points, Q rn It represents the ozone concentration at the nth environmental monitoring point in the rth environmental control area, T rn represents the soil heavy metal content at the nth environmental monitoring point in the rth environmental control area, M rn It represents the total nitrogen content of water at the nth environmental monitoring point in the rth environmental control area. represents the critical ozone concentration, Indicates critical heavy metal content, represents the critical total nitrogen content in water, σ1 represents the environmental pollution degree influencing factor corresponding to the preset ozone concentration, σ2 represents the environmental pollution degree influencing factor corresponding to the preset heavy metal content, and σ3 represents the environmental pollution degree influencing factor corresponding to the preset total nitrogen content in water.

[0065] It should be understood that, from this embodiment, when the heavy metal content in the soil at the environmental monitoring point is higher and the ozone concentration at the environmental monitoring point is also higher, the corresponding environmental pollution level assessment index of the environmental control area will be higher, indicating that the environmental pollution level of the environmental control area is higher.

[0066] It should be understood that if Figure 4 As shown, curve e represents the relationship between ozone concentration and environmental pollution degree assessment index of environmental control area when the soil heavy metal content is 10 mg / kg and the total nitrogen content of water is 2 ppm. Curve f represents the relationship between ozone concentration and environmental pollution degree assessment index of environmental control area when the soil heavy metal content is 20 mg / kg and the total nitrogen content of water is 4 ppm. Curve g represents the relationship between ozone concentration and environmental pollution degree assessment index of environmental control area when the soil heavy metal content is 30 mg / kg and the total nitrogen content of water is 6 ppm. Among them, the environmental pollution degree impact factor corresponding to ozone concentration is set to 0.5, the environmental pollution degree impact factor corresponding to heavy metal content is set to 0.3, the environmental pollution degree impact factor corresponding to total nitrogen content in water is set to 0.2, and the critical ozone concentration is set to 100 mg / m 3 , the critical total nitrogen content in water is set at 10ppm, and the critical heavy metal content is set at 50mg / kg.

[0067] It is important to understand that if Figure 5 As shown, curve h represents the ozone concentration of 150mg / m 3When the soil heavy metal content is 50 mg / kg, the relationship between the total nitrogen content in the water body and the environmental pollution degree assessment index of the environmental control area is shown in Figure 1. Curve j represents the relationship between the total nitrogen content in the water body and the environmental pollution degree assessment index of the environmental control area when the ozone concentration is 160 mg / m 3 When the soil heavy metal content is 60 mg / kg, the relationship between the total nitrogen content in the water body and the environmental pollution degree assessment index of the environmental control area is shown in Figure 1. Curve k represents the relationship between the total nitrogen content in the water body and the environmental pollution degree assessment index of the environmental control area when the ozone concentration is 170 mg / m 3 , when the soil heavy metal content is 70 mg / kg, the relationship between the total nitrogen content in the water body and the environmental pollution degree assessment index of the environmental control area, among which the environmental pollution degree impact factor corresponding to the ozone concentration is set to 0.8, the environmental pollution degree impact factor corresponding to the heavy metal content is set to 0.5, the environmental pollution degree impact factor corresponding to the total nitrogen content in the water body is set to 0.8, and the critical ozone concentration is set to 100 mg / m 3 , the critical total nitrogen content in water is set at 100ppm, and the critical heavy metal content is set at 100mg / kg.

[0068] It should be explained that in this embodiment, σ1 is the environmental pollution degree influencing factor corresponding to the preset ozone concentration, which represents the numerical value of the influence of the unit value of ozone concentration on the environmental pollution degree. When used, the environmental pollution degree influencing factor corresponding to the ozone concentration can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the ozone concentration at the environmental monitoring point and the environmental pollution degree influencing factor corresponding to the preset ozone concentration in the ecosystem database form a mapping set, and the real-time ozone concentration of the environmental monitoring point is input into the mapping set to obtain the environmental pollution degree influencing factor corresponding to the ozone concentration. The mapping relationship can be one-to-one or a many-to-one relationship.

[0069] It should be explained that in this embodiment, σ2 is the environmental pollution degree influencing factor corresponding to the preset heavy metal content, which represents the numerical value of the influence of the unit value of the heavy metal content on the environmental pollution degree. When used, the environmental pollution degree influencing factor corresponding to the heavy metal content can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the heavy metal content of the environmental monitoring point and the environmental pollution degree influencing factor corresponding to the preset heavy metal content in the ecosystem database form a mapping set, and the real-time heavy metal content of the environmental monitoring point is input into the mapping set to obtain the environmental pollution degree influencing factor corresponding to the heavy metal content. The mapping relationship can be one-to-one or a many-to-one relationship.

[0070] It should be explained that in this embodiment, σ3 is the environmental pollution degree influencing factor corresponding to the preset total nitrogen content of the water body, which represents the numerical value of the influence of the unit value of the total nitrogen content of the water body on the environmental pollution degree. When used, the environmental pollution degree influencing factor corresponding to the total nitrogen content of the water body can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the total nitrogen content of the water body at the environmental monitoring point and the environmental pollution degree influencing factor corresponding to the total nitrogen content of the water body preset in the ecosystem database form a mapping set, and the real-time total nitrogen content of the water body at the environmental monitoring point is input into the mapping set to obtain the environmental pollution degree influencing factor corresponding to the total nitrogen content of the water body. The mapping relationship can be one-to-one or a many-to-one relationship.

[0071] It should be explained that the above-mentioned impact factors are all extracted from the ecosystem database, and the value range is between 0 and 1.

[0072] It should be noted that the ozone concentration in this embodiment primarily reflects the extent of photochemical pollution in a region. Ozone concentration can be measured on-site using a portable ozone monitor. Photochemical pollution is caused by the chemical reaction between solar radiation and air pollutants such as nitrogen oxides and volatile organic compounds under ultraviolet radiation. Excessive ozone concentrations can damage the human respiratory system and also affect plant growth. Areas with high levels of urbanization often have higher ozone concentrations due to factors such as industrial emissions, traffic exhaust, and construction. Soil heavy metal content can be determined by collecting soil samples on-site and sending them to a qualified laboratory for analysis. Soil heavy metal content reflects the extent of soil pollution, particularly heavy metal pollution caused by human activities such as industrial emissions, waste disposal, and agricultural activities. Heavy metal pollution in soil poses a threat to plant growth, soil biodiversity, and human health. In some cases, such as urban areas, both ozone concentration and soil heavy metal content may be high, reflecting the combined impact of regional environmental pollution. Total nitrogen refers to the sum of all forms of nitrogen in water, including inorganic nitrogen (such as nitrate and ammonia) and organic nitrogen. It enters water bodies primarily through agricultural activities (such as fertilization), animal waste, and industrial emissions. Total nitrogen is typically measured using chemical analysis. High concentrations of nitrogen can lead to eutrophication, causing excessive algae growth, which in turn reduces dissolved oxygen levels in the water and poses a threat to aquatic life.

[0073] Furthermore, the natural resource quality assessment index of each environmental control area is obtained based on the natural resource utilization data of each environmental control area. The specific process is: collecting the natural resource utilization data of each environmental control area, the natural resource utilization data of each environmental control area including the soil erosion rate and soil salinization area of ​​each environmental control area, extracting the critical soil erosion rate and critical soil salinization area from the ecosystem database, and comprehensively analyzing to obtain the natural resource quality assessment index of each environmental control area.

[0074] It should be understood that the natural resource quality assessment index of each environmental control area in this embodiment is a quantitative assessment data obtained through a comprehensive analysis of the soil erosion rate and soil salinization area of ​​each environmental control area, which is used to quantify the quality of the natural environment of each environmental control area and provide a basis for the assessment of the ecological environment quality of each environmental control area.

[0075] In a specific embodiment, the numerical expression of the natural resource quality assessment index of each environmental control area is:

[0076]

[0077] Where, represents the natural resource quality assessment index of the rth environmental control area, G r represents the soil erosion rate of the rth environmental control area, J r represents the soil salinization area in the rth environmental control area, represents the critical soil erosion rate, represents the critical soil salinization area, ρ1 represents the natural resource quality assessment impact factor corresponding to the preset soil erosion rate, and ρ2 represents the natural resource quality assessment impact factor corresponding to the preset soil salinization area.

[0078] It should be understood that, from this embodiment, when the soil erosion rate in the environmental control area is higher and the soil salinization area in the environmental control area is larger, the corresponding natural resource quality assessment index of the environmental control area is lower, indicating that the natural resource quality of the environmental control area is worse.

[0079] It needs to be explained that, Figure 3 As shown, curve a represents the relationship between the land erosion rate in the environmental control area and the natural resource quality assessment index in the environmental control area when the soil salinization area in the environmental control area is 500 hectares, curve b represents the relationship between the land erosion rate in the environmental control area and the natural resource quality assessment index in the environmental control area when the soil salinization area in the environmental control area is 1000 hectares, and curve c represents the relationship between the land erosion rate in the environmental control area and the natural resource quality assessment index in the environmental control area when the soil salinization area in the environmental control area is 1500 hectares.

[0080] It should be understood that in this embodiment, the critical soil erosion rate is set to 0.5, the critical soil salinization area is set to 1,000 hectares, the natural resource quality assessment impact factor corresponding to the soil erosion rate is set to 0.8, and the natural resource quality assessment impact factor corresponding to the soil salinization area is set to 0.6.

[0081] It should be explained that in this embodiment, ρ1 is the natural resource quality assessment impact factor corresponding to the preset soil erosion rate, which represents the degree of influence of the unit value of the soil erosion rate on the natural resource quality. When used, the natural resource quality assessment impact factor corresponding to the soil erosion rate can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the soil erosion rate in the environmental control area and the natural resource quality assessment impact factor corresponding to the soil erosion rate preset in the ecosystem database form a mapping set, and the real-time soil erosion rate of the environmental control area is input into the mapping set to obtain the natural resource quality assessment impact factor corresponding to the soil erosion rate. The mapping relationship can be one-to-one or a many-to-one relationship.

[0082] It should be explained that in this embodiment, ρ2 is the natural resource quality assessment impact factor corresponding to the preset soil salinization area, which represents the numerical value of the degree of influence of the unit value of the soil salinization area on the natural resource quality. When used, the natural resource quality assessment impact factor corresponding to the soil salinization area can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the soil salinization area of ​​the environmental control area and the natural resource quality assessment impact factor corresponding to the preset soil salinization area in the ecosystem database form a mapping set, and the real-time soil salinization area of ​​the environmental control area is input into the mapping set to obtain the natural resource quality assessment impact factor corresponding to the soil salinization area. The mapping relationship can be one-to-one or a many-to-one relationship.

[0083] It should be explained that the above-mentioned impact factors are all extracted from the ecosystem database, and the value range is between 0 and 1.

[0084] It should be explained that the natural resource quality assessment index in this embodiment takes land resources as an example. The area of ​​soil salinization can be monitored and assessed by analyzing satellite images using remote sensing technology, such as optical remote sensing or radar remote sensing. Land salinization will reduce soil fertility and productivity, affect crop growth, and thus reduce soil resource utilization. Excessive salt will hinder the absorption of water and nutrients by plants, resulting in crop yield reduction or death. Salinized land requires special improvement measures for effective utilization, which increases the cost and technical difficulty of land utilization and reduces the economic benefits of soil resources. Long-term salinization will lead to land degradation, making originally usable land unsuitable for agriculture or other uses, further reducing soil resource utilization. Soil erosion rate can be estimated by using remote sensing technology, analyzing soil erosion through satellite images, and using the Normalized Difference Vegetation Index. The Normalized Difference Vegetation Index is a widely used remote sensing index used to assess the health and growth of vegetation. It is calculated by comparing the reflectance of near-infrared and red light bands, which are very sensitive to vegetation growth conditions. The calculation formula is as follows: Among them, NIR is the reflectance of the near-infrared band. RED is the reflectance of the red light band. Select or construct a soil erosion model suitable for the study area, such as the US general soil loss equation or the revised soil loss equation. These models usually include parameters such as rainfall erosivity, soil erodibility, terrain factors, vegetation cover factors, and soil and water conservation measures factors. Among them, the rainfall erosivity factor (R) requires long-term rainfall data to estimate the R factor. Rainfall erosivity can be calculated based on daily rainfall or monthly rainfall data. For example, using the CHIRPS daily rainfall dataset, the rainfall erosivity value for each month or day is calculated by accumulating and converting the rainfall throughout the year. Calculation formula example: A commonly used formula based on monthly rainfall is R = 0.0534*P 1.6548 , where P is the total monthly rainfall P. This formula can better reflect the potential impact of rainfall on soil erosion. The calculation of the soil erodibility factor (K) requires data on soil properties, such as soil texture, organic matter content, etc. These data can usually be obtained from soil survey reports or using public soil databases. The raster calculator function can be used to calculate the K value based on soil property raster data (such as silt clay content, soil organic carbon percentage). For example, the EPIC formula can be used:

[0085] The soil vegetation cover factor (C) reflects the mitigating effect of vegetation on soil erosion. NDVI values ​​can be converted to the vegetation cover factor by establishing a relationship between them. Topographic factors include the slope factor (S) and the slope length factor (L). A digital elevation model is typically required to extract topographic information. The slope factor (S) can be calculated from the DEM using the Spatial Analyst tool in ArcMap to calculate the slope (expressed in degrees or percentage). This is then converted into an erosion risk weight based on the slope. For example, a slope less than 5.14 degrees has a lower risk weight, while a slope exceeding 28.81 degrees has a higher risk weight. The slope length factor (L) is more complex to calculate, requiring the determination of flow direction and accumulated flow, and then adjusting the slope length factor based on the flow. This process typically requires the use of hydrological analysis tools. The soil and water conservation measure factor (Q) can be determined based on the type and effectiveness of soil and water conservation measures implemented in a region. For example, measures such as terraces and grass embankments can significantly reduce soil erosion. It is usually necessary to combine ground survey data and historical management records to quantify the Q factor. You can also refer to literature values ​​or expert opinions of similar areas. Then all parameters (including the converted vegetation cover factor) are input into the soil erosion model for calculation. The output of the model is the soil erosion rate, which is usually expressed as the amount of soil erosion per unit area and per unit time, such as t / (km 2 a). High soil erosion rates indicate declining soil quality. Soil erosion removes topsoil, reducing soil organic matter and nutrients, lowering soil quality, and impacting crop growth, thereby reducing soil resource utilization. Severe soil erosion can lead to a decline in, or even loss of, land productivity, rendering the land unusable for agriculture or other production activities, further reducing soil resource utilization. Soil erosion can also lead to ecological degradation, such as water pollution and land degradation, which indirectly impact the sustainable use of soil resources. Land salinization and soil erosion are both manifestations of soil degradation, negatively impacting soil resource quality and productivity, thereby reducing soil resource utilization. By comprehensively considering soil erosion rates and the extent of soil salinization, we can more comprehensively assess the extent of land natural resource utilization in a target area and provide a scientific basis for natural resource management and conservation.

[0086] It should be explained that in the above embodiment, the process of converting the NDVI value into the vegetation coverage factor by establishing the relationship between NDVI and the vegetation coverage factor is to construct a mapping set between the NDVI value interval and its corresponding vegetation coverage factor, input the real-time NDVI value, match the interval in which the NDVI value is located, and obtain the vegetation coverage factor corresponding to the NDVI value through the mapping set, where the mapping relationship is a one-to-one relationship.

[0087] It should be explained that the natural resources in the natural resource quality assessment index in this embodiment also include water resources and energy.

[0088] Specifically, taking water resources as an example, the natural resource quality assessment index of each environmental control area can be obtained by comprehensively evaluating the water use efficiency and water resource recovery rate of each environmental control area. The higher the water use efficiency of each environmental control area and the higher the water resource recovery rate, the greater the natural resource quality assessment index of each environmental control area, indicating that the degree of water resource utilization in each environmental control area is higher.

[0089] In a specific embodiment, the water use efficiency of each environmental control area includes the irrigation efficiency of the agricultural area, which refers to the efficiency of measuring the use of irrigation water for crop production, usually expressed in terms of unit water output (such as crop output generated per cubic meter of water). It also includes the industrial water reuse rate of the industrial area, which refers to the ratio of the amount of water reused in industrial water to the total water consumption. It also includes the domestic water use efficiency of the living area, which refers to the evaluation of the daily water use efficiency of residents, which can be measured by indicators such as per capita daily water consumption. The water resource recovery rate of each environmental control area includes the recycled water utilization rate and rainwater collection and utilization rate of each environmental control area. The recycled water utilization rate refers to the ratio of the amount of wastewater (recycled water) that can be used again after treatment to the total wastewater generation. The rainwater collection and utilization rate refers to the ratio of the amount of rainwater collected and utilized to the total precipitation.

[0090] Specifically, taking coal resources as an example, the natural resource quality assessment index of each environmental control area can be obtained by comprehensively evaluating the coal production efficiency and energy utilization rate of each environmental control area. The higher the coal production efficiency of each environmental control area and the higher the energy utilization rate, the greater the natural resource quality assessment index of each environmental control area, indicating a higher degree of utilization of coal resources.

[0091] In a specific embodiment, the coal production efficiency of each environmental control area includes raw coal output, raw coal selection rate and clean coal yield. The raw coal output refers to the total amount of raw coal mined from a mine within a certain period of time. The raw coal selection rate refers to the ratio of the amount of raw coal entering the coal washing plant for processing to the total output. The clean coal yield refers to the ratio of the amount of clean coal obtained in the coal washing process to the amount of raw coal selected. The energy utilization rate of each environmental control area includes energy conversion efficiency and thermal efficiency. Energy conversion efficiency refers to the efficiency of converting coal into electrical energy or other forms of energy. Thermal efficiency refers to the utilization rate of thermal energy generated during coal combustion.

[0092] Specifically, the ecosystem service quality assessment index of each environmental control area is obtained based on the ecosystem service data of each environmental control area. The specific process is: deploy a number of historical time monitoring points, collect the ecosystem service data of each environmental control area, the ecosystem service data of each environmental control area include the species diversity index and net primary productivity of each environmental monitoring point in each environmental control area at each historical time monitoring point, and collect the species diversity index and net primary productivity of each environmental monitoring point in each environmental control area at the current time point, and comprehensively analyze to obtain the ecosystem service quality assessment index of each environmental control area.

[0093] It should be understood that the ecosystem service quality assessment index of each environmental control area in this embodiment is a quantitative assessment data obtained by comprehensively analyzing the species diversity index and net primary productivity of each environmental monitoring point in each environmental control area at each historical time monitoring point, as well as the species diversity index and net primary productivity of each environmental monitoring point in each environmental control area at the current time point. It is used to quantify the quality of the ecosystem services of each environmental control area and provide a basis for the assessment of the ecological environment quality of each environmental control area.

[0094] In a specific embodiment, the numerical expression of the ecosystem service quality assessment index of each environmental control area is:

[0095]

[0096] Where, represents the ecosystem service quality assessment index of the rth environmental control area, e represents the natural constant, v represents the number of each historical monitoring point, v=1,2,3,...,y, y represents the total number of historical monitoring points, α rnv represents the species diversity index of the nth environmental monitoring point in the rth environmental control area at the vth historical time monitoring point, β rnv It represents the net primary productivity of the nth environmental monitoring point in the rth environmental control area at the vth historical time monitoring point, It represents the species diversity index of the nth environmental monitoring point in the rth environmental control area at the current time point, represents the net primary productivity of the nth environmental monitoring point in the rth environmental control area at the current time point, Indicates the ecosystem service quality impact factor corresponding to the preset species diversity index, Represents the ecosystem service quality impact factor corresponding to the preset net primary productivity.

[0097] It should be understood that, from this embodiment, the smaller the deviation value between the mean value of the species diversity index of the environmental monitoring point at the historical time monitoring point and the current time monitoring point, and the smaller the deviation value between the mean value of the net primary productivity of the environmental monitoring point at the historical time monitoring point and the current time monitoring point, the larger the corresponding environmental control area ecosystem service quality assessment index will be. When the deviation value is smaller, it indicates that the ecosystem service is more stable and the corresponding service quality is better.

[0098] It should be explained that in this embodiment It is the ecosystem service quality impact factor corresponding to the preset species diversity index, which represents the degree of influence of the unit value of the species diversity index on the ecosystem service quality. When used, the ecosystem service quality impact factor corresponding to the species diversity index can be directly obtained from the ecosystem database. The corresponding relationship can be a preset mapping relationship. For example, the species diversity index of the environmental monitoring point and the ecosystem service quality impact factor corresponding to the preset species diversity index in the ecosystem database form a mapping set. The real-time species diversity index of the environmental monitoring point is input into the mapping set to obtain the ecosystem service quality impact factor corresponding to the species diversity index. The mapping relationship can be one-to-one or many-to-one.

[0099] It should be explained that in this embodiment It is the ecosystem service quality impact factor corresponding to the preset net primary productivity, which represents the degree of influence of the unit value of net primary productivity on the ecosystem service quality. When used, the ecosystem service quality impact factor corresponding to the net primary productivity can be directly obtained from the ecosystem database. The corresponding relationship can be a preset mapping relationship. For example, the net primary productivity of the environmental monitoring point and the ecosystem service quality impact factor corresponding to the net primary productivity preset in the ecosystem database form a mapping set. The real-time net primary productivity of the environmental monitoring point is input into the mapping set to obtain the ecosystem service quality impact factor corresponding to the net primary productivity. The mapping relationship can be one-to-one or many-to-one.

[0100] It should be explained that the above-mentioned impact factors are all extracted from the ecosystem database, and the value range is between 0 and 1.

[0101] It should be noted that the species diversity index in this example refers to the Shannon-Wiener diversity index, which measures the richness and evenness of species diversity within a community. The calculation formula is: H = -Σ(pu*ln(pu)), where pu is the relative abundance of the uth species. Net primary productivity refers to the amount of carbon fixed by plants through photosynthesis per unit area minus the amount of carbon consumed through respiration. Remote sensing technology can be used to estimate net primary productivity and species diversity index for a target area by analyzing satellite data. Ecosystems with high species diversity are generally more stable and resilient, better able to withstand external disturbances such as natural disasters and climate change. High species diversity helps maintain ecosystem functions, thereby providing higher-quality ecosystem services. Species diversity encompasses not only species richness but also the functional diversity of species, namely the roles different species play within the ecosystem. Ecosystems with high functional diversity can provide a greater variety of services, such as pollination, pest control, and soil fertility maintenance. Different species occupy different ecological niches, which helps more efficiently utilize resources and improve the overall productivity and service quality of the ecosystem. Species diversity also helps ecosystems recover after damage, thereby maintaining or improving the supply of ecosystem services. Net primary productivity (NPP) is the residual energy from the total primary production fixed by an ecosystem through photosynthesis, minus the energy consumed by plant respiration. It is the direct source of energy for all ecosystem consumers. High NPP indicates that the ecosystem has a higher energy and material base, capable of supporting higher-quality ecosystem services. NPP directly impacts services such as food production, fiber production, carbon fixation, and oxygen supply. High NPP is often associated with high biomass, contributing to the provision of more timber, medicinal herbs, and other biological resources. Ecosystems with high NPP may perform better in regulating climate, regulating water resources, and reducing soil erosion. Species diversity and NPP interact with each other. High species diversity may contribute to higher NPP, which in turn provides conditions for more species to survive and reproduce. The synergistic effect of species diversity and NPP can enhance the multifunctionality of ecosystems, thereby improving the quality and quantity of ecosystem services.

[0102] Furthermore, a comprehensive analysis is conducted to obtain ecological environment quality assessment indicators for each environmental control area. The specific analysis process is as follows: based on the environmental pollution degree assessment index of each environmental control area, the natural resource quality assessment index of each environmental control area and the ecosystem service quality assessment index of each environmental control area, a comprehensive analysis is conducted to obtain the ecological environment quality assessment indicators for each environmental control area. The ecological environment quality assessment indicators for each environmental control area are used to quantitatively assess the ecological environment quality of each environmental control area, and provide a basis for the ecological environment management and control of each environmental control area.

[0103] In a specific embodiment, the numerical expression of the ecological environment quality assessment index of each environmental control area is:

[0104]

[0105] Where, represents the ecological environment quality assessment index of the rth environmental control area, represents the environmental pollution degree assessment index of the rth environmental control area, represents the natural resource quality assessment index of the rth environmental control area, represents the ecosystem service quality assessment index of the rth environmental control area, ω1 represents the influencing factor of the ecological environment quality assessment index corresponding to the preset environmental pollution degree assessment index of the environmental control area, ω2 represents the influencing factor of the ecological environment quality assessment index corresponding to the preset natural resource quality assessment index of the environmental control area, and ω3 represents the influencing factor of the ecological environment quality assessment index corresponding to the preset environmental control area ecosystem service quality assessment index.

[0106] It should be understood that, from this embodiment, when the environmental pollution degree assessment index of the environmental control area is smaller, the natural resource quality assessment index of the environmental control area is larger, and the ecosystem service quality assessment index of the environmental control area is also larger, the corresponding ecological environment quality assessment index of the environmental control area will be larger, indicating that the ecological environment quality of the environmental control area is higher.

[0107] It should be explained that in this embodiment, ω1 is the ecological environment quality assessment index influencing factor corresponding to the preset environmental control area environmental pollution degree assessment index, which represents the numerical value of the degree of influence of the unit value of the environmental control area environmental pollution degree assessment index on the ecological environment quality. When used, the ecological environment quality assessment index influencing factor corresponding to the environmental control area environmental pollution degree assessment index can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the environmental control area environmental pollution degree assessment index and the ecological environment quality assessment index influencing factor corresponding to the preset environmental pollution degree assessment index in the ecosystem database form a mapping set, and the real-time environmental control area environmental pollution degree assessment index is input into the mapping set to obtain the ecological environment quality assessment index influencing factor corresponding to the environmental control area environmental pollution degree assessment index. The mapping relationship can be one-to-one or a many-to-one relationship.

[0108] It should be explained that in this embodiment, ω2 is the ecological environment quality assessment indicator influencing factor corresponding to the preset environmental control area natural resource quality assessment index, which represents the numerical value of the degree of influence of the unit value of the environmental control area natural resource quality assessment index on the ecological environment quality. When used, the ecological environment quality assessment indicator influencing factor corresponding to the environmental control area natural resource quality assessment index can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the environmental control area natural resource quality assessment index and the ecological environment quality assessment indicator influencing factor corresponding to the natural resource quality assessment index preset in the ecosystem database form a mapping set, and the real-time environmental control area natural resource quality assessment index is input into the mapping set to obtain the ecological environment quality assessment indicator influencing factor corresponding to the environmental control area natural resource quality assessment index. The mapping relationship can be one-to-one or a many-to-one relationship.

[0109] It should be explained that in this embodiment, ω3 is the ecological environment quality assessment indicator influencing factor corresponding to the preset environmental control area ecosystem service quality assessment index, which represents the numerical value of the degree of influence of the unit value of the environmental control area ecosystem service quality assessment index on the ecological environment quality. When used, the ecological environment quality assessment indicator influencing factor corresponding to the environmental control area ecosystem service quality assessment index can be directly obtained from the ecosystem database, and the corresponding relationship can be a pre-set mapping relationship. For example, the environmental control area ecosystem service quality assessment index and the ecological environment quality assessment indicator influencing factor corresponding to the preset ecosystem service quality assessment index in the ecosystem database form a mapping set, and the real-time environmental control area ecosystem service quality assessment index is input into the mapping set to obtain the ecological environment quality assessment indicator influencing factor corresponding to the environmental control area ecosystem service quality assessment index. The mapping relationship can be one-to-one or many-to-one.

[0110] It should be explained that the above-mentioned impact factors are all extracted from the ecosystem database, and the value range is between 0 and 1.

[0111] It should be noted that the above process utilizes a comprehensive analysis of the environmental pollution level assessment index, natural resource utilization efficiency assessment index, and ecosystem service quality assessment index for each environmental control area. This comprehensive analysis provides a comprehensive perspective encompassing environmental pollution, resource utilization, and ecosystem services, enabling a more comprehensive assessment of regional ecological and environmental quality. By comparing these different indices, key issues and weaknesses affecting regional ecological and environmental quality can be identified, providing a basis for developing targeted environmental protection strategies. This comprehensive analysis helps prioritize different environmental control areas, allowing for prioritized measures in areas with high levels of environmental pollution, low resource utilization efficiency, or poor ecosystem service quality. The assessment results can also provide a scientific basis for policymakers to formulate more appropriate environmental protection policies and plans. Understanding the natural resource utilization efficiency of each region can help optimize resource allocation, improve resource efficiency, and reduce waste. The environmental pollution level assessment index can help identify high-risk areas, facilitating environmental risk management and emergency preparedness. Assessing ecosystem service quality can enhance understanding and appreciation of the value of ecosystems and promote the protection and restoration of their functions. Integrating environmental pollution, resource utilization, and ecosystem services can help achieve sustainable regional development and balance economic growth with environmental protection.

[0112] The ecological environment control module is used to control the ecological environment of each environmental control area based on the ecological environment quality assessment indicators of each environmental control area.

[0113] Specifically, the ecological environment of each environmental control area is controlled according to the ecological environment quality assessment index of each environmental control area. The specific process is: extracting the threshold value of the ecological environment quality assessment index of each environmental control area from the ecosystem database, comparing the ecological environment quality assessment index of each environmental control area with the threshold value of the ecological environment quality assessment index of each environmental control area; if the ecological environment quality assessment index of a certain environmental control area is higher than or equal to the threshold value of the ecological environment quality assessment index of the environmental control area, then the ecological environment quality of the environmental control area is assessed as qualified, and the original control measures are maintained; if the ecological environment quality assessment index of a certain environmental control area is lower than the threshold value of the ecological environment quality assessment index of the environmental control area, then the ecological environment quality of the environmental control area is assessed as unqualified, and the environmental control area is controlled according to the ecological environment data.

[0114] It should be explained that the above process, through the use of unified assessment indicator thresholds, achieves standardization of ecological and environmental quality assessments, ensuring the objectivity and consistency of assessment results. This also helps clarify management standards for ecological and environmental quality, facilitating implementation and supervision. Furthermore, setting clear thresholds allows for the rapid identification of areas with substandard ecological and environmental quality, facilitating the timely implementation of control measures. This allows environmental protection resources to be effectively allocated according to actual needs, with priority allocated to areas with substandard ecological and environmental quality. By regularly comparing assessment indicators with thresholds, changes in ecological and environmental quality can be dynamically monitored, allowing for timely adjustment of control measures. For areas with substandard assessments, targeted control measures can be implemented based on the specific circumstances to enhance the effectiveness of environmental management. Through the cycle of assessment and control processes, each environmental control area can be incentivized to continuously improve ecological and environmental quality.

[0115] In one specific embodiment, the process for managing and controlling environmental control areas based on ecological and environmental data is as follows: first, analyze the ecological and environmental problems in substandard areas to identify the main sources of pollution and ecological damage. The impact of these problems on the regional ecological environment and residents' lives is assessed. Next, conduct an in-depth investigation into the specific causes of the decline in ecological and environmental quality, such as industrial pollution, agricultural non-point source pollution, and urban household pollution. Based on the identified problems and causes, formulate specific ecological and environmental improvement measures. For example, these include pollution source control, implementation of clean production, improving the efficiency of pollutant treatment facilities, and reducing pollutant emissions. Promote soil testing and formula fertilization to reduce the use of chemical fertilizers and pesticides, and develop ecological agriculture. Strengthen the collection, transportation, and treatment of household waste. Conduct ecological restoration, implement projects such as returning farmland to forest and grassland, and protect and restore wetlands. Remediate contaminated soil to improve soil quality. Finally, regularly monitor the implementation of management and control measures to ensure they are in place. Continuously monitor ecological and environmental quality to evaluate management and control effectiveness. Feedback and adjustments to management and control measures are then provided based on monitoring data and evaluation results. For areas that continue to fail to meet standards, management and control efforts are further strengthened until ecological and environmental quality meets standards.

[0116] It should be explained that the ecosystem database in this embodiment is used to store relevant data in the process of ecological environment quality assessment of the target area, including critical groundwater level, reference standard soil pH value, allowable deviation soil pH value and critical vegetation coverage, ecosystem service quality influencing factors corresponding to species diversity index and ecosystem service quality influencing factors corresponding to net primary productivity, as well as threshold values ​​of ecological environment quality assessment indicators of each environmental control area, etc. The data extracted from the ecosystem database in the above embodiments can be obtained through a large amount of geographical and environmental data provided by the public data platform, or through data mining or web crawlers.

[0117] Reference Figure 2As shown, the second aspect of the present invention provides an intelligent ecological environment zoning management and control method, including: obtaining basic characteristic data of the target ecological area, and dividing the target ecological area into regions based on the basic characteristic data, marking them into various environmental control areas, and collecting ecological environment data of each environmental control area, wherein the ecological environment data includes environmental pollution data, natural resource utilization data and ecosystem service data.

[0118] The environmental pollution degree assessment index of each environmental control area is obtained by processing the environmental pollution data of each environmental control area.

[0119] The natural resource quality assessment index of each environmental control area is obtained based on the natural resource utilization data of each environmental control area.

[0120] The ecosystem service quality assessment index of each environmental control area was obtained based on the ecosystem service data of each environmental control area.

[0121] A comprehensive analysis of the environmental pollution degree assessment index, natural resource utilization efficiency assessment index and ecosystem service quality assessment index of each environmental control area was conducted to obtain the ecological environment quality assessment indicators of each environmental control area.

[0122] The ecological environment of each environmental control area is controlled and managed based on the ecological environment quality assessment indicators of each environmental control area.

[0123] It is important to clarify that the "three lines and one list" in ecological and environmental protection refer to the ecological protection redline, the environmental quality bottom line, the resource utilization upper limit, and the ecological and environmental access list. The ecological protection redline refers to areas within the ecological space that possess particularly important ecological functions and must be strictly protected. It is the bottom line and lifeline for ensuring and maintaining national ecological security. Areas within the ecological protection redline typically include ecologically important areas with functions such as water conservation, biodiversity maintenance, soil and water conservation, windbreak and sand fixation, and coastal ecological stability, as well as ecologically sensitive and vulnerable areas such as soil erosion, desertification, rocky desertification, and salinization. Strict ecological management and control must be implemented in accordance with the basic requirements of "no reduction in ecological functions, no reduction in area, and no change in nature." The environmental quality bottom line refers to regional and phased environmental quality targets, as well as corresponding environmental management and pollutant emission control requirements. The environmental quality bottom line is primarily used to control the environmental quality of the air, water, and soil in the region, ensuring continuous improvement. Regional and phased environmental quality targets and corresponding environmental management and pollutant emission control requirements are determined based on the current environmental quality status, relevant planning and functional zoning requirements, and the potential for environmental quality improvement. Resource utilization ceilings refer to regional and phased control requirements for the total amount, intensity, and efficiency of resource development and utilization. These ceilings are primarily used to control the total amount, intensity, and efficiency of energy consumption, water, land, and other resource utilization within a region. Based on the principle that natural resource assets "can only appreciate, not depreciate," these ceilings are established for the purpose of safeguarding ecological security and improving environmental quality. The Ecological Environment Access List refers to environmental access requirements based on environmental control units, comprehensively considering ecological protection red lines, environmental quality baselines, and resource utilization ceilings. These lists prohibitions and restrictions on spatial layout, pollutant emissions, environmental risks, and resource development and utilization. The Ecological Environment Access List lists the environmental access requirements for a region, clearly defining which industries and projects are eligible and the specific conditions for entry.

[0124] The present invention is based on the "three lines and one list" in ecological and environmental protection to achieve zoning control of the target area environment.

[0125] Ecological Protection Red Line: This includes regional divisions: The system deploys environmental monitoring points to collect basic characteristic data, including groundwater levels, soil pH, and vegetation coverage. Combined with critical values ​​and standards in the ecosystem database, the system divides the target ecological region into different environmental control zones. Environmental Monitoring and Assessment: The system collects environmental pollution data (such as ozone concentration, total nitrogen content in water bodies, and heavy metal content in soil) and calculates an environmental pollution degree assessment index based on preset critical values ​​to evaluate and manage the ecological environment within the ecological protection red line.

[0126] Resource utilization cap: This includes resource data collection and assessment. The system collects natural resource utilization data, such as soil erosion rates and soil salinization areas, and combines this with critical values ​​from the ecosystem database to calculate a natural resource quality assessment index to assess the efficiency and sustainability of resource utilization. Resource management: This assessment index identifies resource utilization caps and provides guidance on how to rationally utilize and protect natural resources, ensuring that the carrying capacity of the ecosystem is not exceeded.

[0127] Environmental quality bottom line: including environmental quality assessment: the system collects ecosystem service data, such as species diversity index and net primary productivity, and calculates the ecosystem service quality assessment index to assess the degree to which the environmental quality bottom line is met.

[0128] Environmental control: The system obtains ecological environment quality assessment indicators for each environmental control area through comprehensive analysis of the environmental pollution degree assessment index, natural resource quality assessment index and ecosystem service quality assessment index, and controls the ecological environment based on these indicators to ensure that the environmental quality is not lower than the preset bottom line.

[0129] Overall, the system aims to achieve comprehensive ecological protection and rational utilization through intelligent data collection, assessment, and control, while ensuring that environmental quality remains above an acceptable baseline. This approach can provide customized environmental protection strategies for each environmental control area, promoting sustainable development in the region.

[0130] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. An intelligent ecological environment zoning management and control system, characterized by: include: The ecological environment data collection module is used to obtain the basic characteristic data of the target ecological area, divide the target ecological area into regions based on the basic characteristic data, mark them into various environmental control areas, and collect the ecological environment data of each environmental control area. The ecological environment data includes environmental pollution data, natural resource utilization data, and ecosystem service data; The ecological environment quality assessment module is used to obtain the environmental pollution degree assessment index of each environmental control area based on the environmental pollution data of each environmental control area, obtain the natural resource quality assessment index of each environmental control area based on the natural resource utilization data of each environmental control area, and obtain the ecosystem service quality assessment index of each environmental control area based on the ecosystem service data of each environmental control area. Comprehensive analysis is used to obtain the ecological environment quality assessment indicators of each environmental control area; The ecological environment control module is used to control the ecological environment of each environmental control area based on the ecological environment quality assessment indicators of each environmental control area.

2. The intelligent ecological environment zoning management and control system according to claim 1 is characterized by: The target ecological region is divided into regions according to the basic characteristic data. The specific division process is as follows: Deploy several environmental monitoring points to collect basic characteristic data for the target ecological area. The basic characteristic data includes groundwater level, soil pH, and vegetation coverage at each environmental monitoring point. Extract the critical groundwater level, reference standard soil pH, allowable deviation soil pH, and critical vegetation coverage from the ecosystem database, and conduct a comprehensive analysis to obtain the environmental characteristic values ​​for each environmental monitoring point. The environmental characteristic value intervals and regional division critical distances are extracted from the ecosystem database, and the environmental characteristic values ​​of each environmental monitoring point are matched with the environmental characteristic value intervals. If the distance between two environmental monitoring points is less than or equal to the regional division critical distance, and the corresponding environmental characteristic values ​​are in the same environmental characteristic value interval, the areas corresponding to the two environmental monitoring points are divided into the same area, and the divided areas are marked as environmental control areas.

3. The intelligent ecological environment zoning management and control system according to claim 1 is characterized by: The environmental pollution degree assessment index of each environmental control area is obtained by processing the environmental pollution data of each environmental control area. The specific process is: Several environmental monitoring points are deployed to collect environmental pollution data of each environmental control area. The environmental pollution data of each environmental control area include ozone concentration, total nitrogen content in water bodies and heavy metal content in soil at each environmental monitoring point in each environmental control area. Critical ozone concentration, critical total nitrogen content in water bodies and critical heavy metal content are extracted from the ecosystem database, and comprehensive analysis is performed to obtain the environmental pollution degree assessment index of each environmental control area.

4. The intelligent ecological environment zoning management and control system according to claim 1 is characterized by: The natural resource quality assessment index of each environmental control area is obtained by processing the natural resource utilization data of each environmental control area. The specific process is: The natural resource utilization data of each environmental control area are collected, and the natural resource utilization data of each environmental control area include the soil erosion rate and soil salinization area of ​​each environmental control area. The critical soil erosion rate and critical soil salinization area are extracted from the ecosystem database, and the natural resource quality assessment index of each environmental control area is obtained through comprehensive analysis.

5. The intelligent ecological environment zoning management and control system according to claim 1 is characterized by: The ecosystem service quality assessment index of each environmental control area is obtained by processing the ecosystem service data of each environmental control area. The specific process is as follows: Deploy several historical time monitoring points to collect ecosystem service data of each environmental control area. The ecosystem service data of each environmental control area include the species diversity index and net primary productivity of each environmental monitoring point in each environmental control area at each historical time monitoring point, and collect the species diversity index and net primary productivity of each environmental monitoring point in each environmental control area at the current time point, and comprehensively analyze to obtain the ecosystem service quality assessment index of each environmental control area.

6. The intelligent ecological environment zoning management and control system according to claim 5 is characterized by: The comprehensive analysis results in the ecological environment quality assessment indicators of each environmental control area. The specific analysis process is as follows: Based on the environmental pollution degree assessment index of each environmental control area, the natural resource quality assessment index of each environmental control area and the ecosystem service quality assessment index of each environmental control area, a comprehensive analysis is conducted to obtain the ecological environment quality assessment index of each environmental control area. The ecological environment quality assessment index of each environmental control area is used to quantitatively assess the ecological environment quality of each environmental control area, and provide a basis for the ecological environment management and control of each environmental control area.

7. The intelligent ecological environment zoning management and control system according to claim 6 is characterized by: The specific process of controlling the ecological environment of each environmental control area according to the ecological environment quality assessment indicators of each environmental control area is as follows: The threshold value of the ecological environment quality assessment index of each environmental control area is extracted from the ecosystem database, and the ecological environment quality assessment index of each environmental control area is compared with the threshold value of the ecological environment quality assessment index of each environmental control area. If the ecological environment quality assessment index of an environmental control area is higher than or equal to the threshold value of the ecological environment quality assessment index of the environmental control area, the ecological environment quality of the environmental control area is assessed as qualified, and the original control measures are maintained. If the ecological environment quality assessment index of an environmental control area is lower than the threshold value of the ecological environment quality assessment index of the environmental control area, the ecological environment quality of the environmental control area is assessed as unqualified, and the environmental control area is controlled based on the ecological environment data.

8. The intelligent ecological environment zoning management and control system according to claim 2 is characterized by: The specific numerical expression of the environmental characteristic value of each environmental monitoring point is: Where, represents the environmental characteristic value of the i-th environmental monitoring point, i represents the number of each environmental monitoring point, i=1,2,3,...,t, t represents the total number of environmental monitoring points, D i represents the groundwater level at the i-th environmental monitoring point, E i represents the soil pH value at the i-th environmental monitoring point, F i represents the vegetation coverage of the i-th environmental monitoring point, represents the critical groundwater level, E 0 It represents the reference standard soil pH value, ΔE represents the allowable deviation soil pH value, represents the critical vegetation coverage, ε1 represents the environmental characteristic influencing factor corresponding to the preset groundwater level, ε2 represents the environmental characteristic influencing factor corresponding to the preset soil pH value, and ε3 represents the environmental characteristic influencing factor corresponding to the preset vegetation coverage.

9. The intelligent ecological environment zoning management and control system according to claim 6 is characterized by: The specific numerical expressions of the ecological environment quality assessment indicators of each environmental control area are as follows: Where, represents the ecological environment quality assessment index of the rth environmental control area, represents the environmental pollution degree assessment index of the rth environmental control area, represents the natural resource quality assessment index of the rth environmental control area, represents the ecosystem service quality assessment index of the rth environmental control area, ω1 represents the influencing factor of the ecological environment quality assessment index corresponding to the preset environmental pollution degree assessment index of the environmental control area, ω2 represents the influencing factor of the ecological environment quality assessment index corresponding to the preset natural resource quality assessment index of the environmental control area, and ω3 represents the influencing factor of the ecological environment quality assessment index corresponding to the preset environmental control area ecosystem service quality assessment index.

10. An intelligent ecological environment zoning management and control method, characterized by: include: Obtain basic characteristic data of the target ecological region, divide the target ecological region into regions based on the basic characteristic data, mark them into environmental control areas, and collect ecological and environmental data for each environmental control area. The ecological and environmental data include environmental pollution data, natural resource utilization data, and ecosystem service data. The environmental pollution degree assessment index of each environmental control area is obtained by processing the environmental pollution data of each environmental control area; The natural resource quality assessment index of each environmental control area is obtained by processing the natural resource utilization data of each environmental control area; The ecosystem service quality assessment index of each environmental control area is obtained by processing the ecosystem service data of each environmental control area; Comprehensively analyze the environmental pollution degree assessment index, natural resource utilization efficiency assessment index and ecosystem service quality assessment index of each environmental control area to obtain the ecological environment quality assessment index of each environmental control area; The ecological environment of each environmental control area is controlled and managed based on the ecological environment quality assessment indicators of each environmental control area.

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