Land space planning environment influence monitoring method

Abstract

The invention discloses a territorial space planning environment influence monitoring method, which belongs to the technical field of territorial space planning, and comprises the following steps: dynamically monitoring and collecting heavy metals, organic pollutants, pH value content concentration, vegetation coverage and biological diversity of each piece of monitored soil in territorial space planning by using a data monitoring and collecting module; a data processing and analyzing module is used for sequentially calculating and outputting a soil pollution index TW, an underground water pollution risk index DS and an ecological system health index JP, and based on different score ranges set by a score setting and analyzing unit and the ecological system health index JP of each piece of monitored soil, the score setting and analyzing unit is used for determining the ecological system health index of each piece of monitored soil. According to the technical scheme of the invention, the dynamic sorting and comparison of the priorities and the analysis of existing problems are carried out according to the characteristics of the system, so as to provide improvement suggestions, and the system has the beneficial effects of comprehensiveness, systematicness, real-time performance and perfect feedback mechanism, and provides a more scientific, accurate and practical technical means for the environmental impact monitoring of territorial space planning.

Description

Technical Field

[0001] This invention relates to the field of land and space planning technology, and in particular to a method for monitoring the environmental impact of land and space planning. Background Technology

[0002] Environmental impact monitoring methods for territorial spatial planning are a series of technical means for the continuous and dynamic monitoring and analysis of environmental factors such as soil, groundwater and ecosystems within the territorial space. These methods aim to assess the environmental quality of the territorial space through scientific and objective data, and provide a scientific basis for the formulation of reasonable planning and management strategies. Under the current technological background, environmental impact monitoring for territorial spatial planning mainly relies on chemical and physical analysis principles, and assesses the degree and risk of environmental pollution by collecting and analyzing data from soil, groundwater and ecosystem samples.

[0003] Regarding the aforementioned and existing related technologies, the following shortcomings are often identified: Existing monitoring methods often neglect the interactions and mutual influences between various factors in the environmental system, resulting in incomplete and inaccurate monitoring results. Furthermore, they lack systematic thinking, failing to consider environmental factors such as soil, groundwater, and ecosystems as a whole, leading to insufficient depth and comprehensiveness in the analysis results. Secondly, existing methods often employ periodic sampling and analysis, making it difficult to reflect dynamic changes in environmental quality in a timely manner and failing to meet the needs of real-time monitoring. In addition, existing technologies lack effective feedback mechanisms in monitoring and analysis to guide the formulation of environmental improvement and management decisions, making it difficult to translate monitoring results into practical actions. Summary of the Invention

[0004] The technical problem to be solved by this invention is that existing technologies suffer from drawbacks such as data uniformity, one-sided analysis, lack of real-time performance, and missing feedback mechanisms. To address this, we propose a method for monitoring the environmental impact of land and space planning.

[0005] The technical solution mainly includes: a method for monitoring the environmental impact of land and space planning, comprising a data monitoring and acquisition module and a data processing and analysis module. The data processing and analysis module includes a unit for assessing the degree of soil pollution, a unit for assessing the impact of soil pollution on groundwater, a unit for assessing the ecological health status, and a scoring setting and analysis unit. The specific monitoring methods and steps are as follows: S1: Using the data monitoring and acquisition module, the heavy metals, organic pollutants, pH concentration, vegetation cover, and biodiversity of various monitored soils in the land spatial planning are dynamically monitored and collected, and transmitted to the data processing and analysis module. S2: Using the data processing and analysis module, calculate and output the soil pollution index TW, the groundwater pollution risk index DS, and the ecosystem health index JP in sequence; S3: Based on the different scoring ranges set by the scoring setting and analysis unit, and the ecosystem health index JP of each monitored soil, the scoring setting and analysis unit is used to perform dynamic ranking comparison of priorities and analysis of existing problems in order to provide improvement suggestions.

[0006] Preferably, the different scoring ranges include three ranges: 80-100, 60-80, 50-60, and 50-0, as detailed below: A score of 80-100 indicates excellent monitoring performance; 60-80 represents the monitoring score for issues that need improvement; A score of 50-60 indicates a monitoring problem. A score of 50-0 indicates a monitoring score for a very serious problem that is difficult to improve.

[0007] Preferably, the calculation formula for the unit for assessing the degree of soil contamination is as follows: ; in: TW stands for Soil Pollution Index; ZJ represents the actual concentration of heavy metals; ZJ0 is the heavy metal concentration threshold; YJ represents the actual concentration of organic pollutants; YJ0 is the threshold value for organic pollutant concentration; pH refers to the actual acidity or alkalinity. In this context, 'a' and 'b' are both weighting coefficients, and they are set based on the impact of heavy metals and organic pollutants on the soil currently being monitored. If heavy metals have a significant impact on the soil currently being monitored, and organic pollutants have a minor impact on the soil currently being monitored, then value a is 20 and value b is 10. If the impact of heavy metals on the soil currently being monitored is small, and the impact of organic pollutants on the soil currently being monitored is large, then a is taken as 10 and b is taken as 20. If pH=7, then A result of 0 indicates that the soil pH meets the standard.

[0008] Preferably, the calculation formula for the unit assessing the impact of soil pollution on groundwater is as follows: ; in: DS stands for Groundwater Pollution Risk Index; S is the permeability coefficient, which reflects the rate at which soil seeps into groundwater during the current monitoring process. TH represents soil thickness, reflecting the current thickness of the soil being monitored. K1 and k2 are both weighting coefficients.

[0009] Preferably, the calculation formula for the ecological health status assessment unit is as follows: ; F=FM / ZM; W=HW / ZW; in: JP stands for Ecosystem Health Index; F represents vegetation coverage; FM stands for vegetation cover area, which reflects the total area of ​​vegetation cover in the soil currently being monitored. ZM represents the total soil area, reflecting the total area of ​​soil currently being monitored. W represents the biodiversity index; HW is the actual species count, which reflects the total number of biological species actually present in the soil currently being monitored. ZW represents the total number of species; v1 and v2 are both weighting coefficients.

[0010] Preferably, the monitoring and analysis steps based on the ecosystem health index JP and the different scoring ranges are as follows: S1: Prioritize the ecosystem health index JP of all monitored soils within the national land space planning area from low to high and from left to right. S2: Based on the priority order of the previous and current monitoring, a comparison is made. When comparing, the monitoring soils whose current ecosystem health index JP has decreased by 20 compared with the previous ecosystem health index JP are extracted separately and used as the monitoring soils that need to be prioritized for improvement analysis in the land and space planning. S3: After extraction, improve the monitored soils that fall within the 60-80 and 50-60 score ranges according to the current priority order; S4: When performing improvement analysis, combine the soil pollution index TW and the groundwater pollution risk index DS of the respective monitored soils. If the increase in risk of the soil pollution index TW is greater than that of the groundwater pollution risk index DS, then the soil pollution problem should be improved. If the increase in risk of the groundwater pollution risk index DS is greater than that of the soil pollution index TW, then the groundwater pollution problem should be improved.

[0011] Preferably, the formula for calculating the permeability coefficient S is as follows: ; in: BL is the rate of change of water volume, and S is obtained by measuring the rate of decline of the water level in the soil currently being monitored. Δt is the time interval; h1 is the initial head height, reflecting the head height at the beginning of time interval Δt; h2 is the head height at the end of the time interval Δt.

[0012] Preferably, the equipment used in the data monitoring and acquisition module includes soil sampling equipment, groundwater sampling equipment, vegetation coverage measurement equipment, biodiversity survey equipment, and monitoring equipment; The data processing and analysis module uses data processing and analysis equipment.

[0013] The technical effects and advantages of this invention are as follows: In this invention, by comprehensively utilizing the units for assessing the degree of soil pollution, assessing the impact of soil pollution on groundwater, assessing the ecological health status, and setting and analyzing scores, comprehensive monitoring and analysis of environmental factors related to soil, groundwater, and ecosystems are achieved. The units of the three calculation formulas and the scoring and analysis unit are interconnected, forming a complete environmental impact assessment system. Furthermore, through the correlation and feedback mechanism between the formulas, a comprehensive analysis of the interactions between various factors in the environmental system is achieved. This systematic thinking helps to improve the accuracy and depth of monitoring results.

[0014] This invention emphasizes real-time dynamic continuous monitoring, which can reflect the dynamic changes in environmental quality in a timely manner. This helps to identify environmental problems in a timely manner and take corresponding improvement measures to avoid further deterioration of environmental problems. Furthermore, by setting up a scoring system and prioritization, an effective feedback mechanism is established to guide the formulation of environmental improvement and management decisions. The scoring system makes the monitoring results more intuitive and easier to understand, while the prioritization helps to determine the focus and order of improvement, thereby helping to ensure the timely resolution of environmental problems. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the environmental impact monitoring methods for domestic land spatial planning. Figure 2 This is a schematic diagram of the overall structure of the data processing and analysis module in this invention; Figure 3 This is a schematic diagram illustrating the basis for setting different scoring ranges in this invention. Detailed Implementation

[0016] The present invention will now be described in further detail with reference to the accompanying drawings and preferred embodiments.

[0017] Reference Figures 1-3As shown, the present invention provides a technical solution: a method for monitoring the environmental impact of land and space planning, including a data monitoring and acquisition module and a data processing and analysis module, characterized in that: the data processing and analysis module includes a unit for assessing the degree of soil pollution, a unit for assessing the impact of soil pollution on groundwater, a unit for assessing the ecological health status, and a scoring setting and analysis unit; The specific monitoring methods and steps are as follows: S1: Using the data monitoring and acquisition module, the heavy metals, organic pollutants, pH concentration, vegetation cover and biodiversity of various monitored soils in the land spatial planning are dynamically monitored and collected, and then transmitted to the data processing and analysis module. S2: Using the data processing and analysis module, calculate and output the soil pollution index TW, groundwater pollution risk index DS, and ecosystem health index JP in sequence; S3: Based on the different scoring ranges set by the scoring and analysis units, and the ecosystem health index JP of each monitored soil, and using the scoring and analysis units, dynamic ranking and comparison of priorities and analysis of existing problems are carried out to provide improvement suggestions. The equipment used in the data monitoring and acquisition module includes soil sampling equipment, groundwater sampling equipment, vegetation cover measurement equipment, biodiversity survey equipment, and monitoring equipment. The data processing and analysis module uses equipment including data processing and analysis devices; The different scoring ranges include three ranges: 80-100, 60-80, 50-60, and 50-0, as detailed below: A score of 80-100 indicates excellent monitoring performance; 60-80 represents the monitoring score for issues that need improvement; A score of 50-60 indicates a monitoring problem. A score of 50-0 indicates a monitoring score for a very serious problem that is difficult to improve.

[0018] This embodiment, through the comprehensive application of the above-mentioned methods, modules, units, and equipment, enables comprehensive, continuous, and dynamic monitoring and analysis of the land and space planning environment, providing a scientific basis for formulating effective improvement measures. Among these, the assessment of the soil pollution index TW, the groundwater pollution risk index DS, and the ecosystem health index JP each have significant effects. Furthermore, the ecosystem health index JP helps to form a more complete and effective monitoring and assessment system for the environmental impact of land and space planning by assessing the cyclical impact of soil pollution. This system can provide a scientific basis for the protection and management of soil and ecosystems, and promote the sustainable development of land and space planning.

[0019] Reference Figures 1-3As shown in this implementation plan, the calculation formula for the unit assessing the degree of soil contamination is as follows: ; in: TW stands for Soil Pollution Index; ZJ represents the actual concentration of heavy metals; ZJ0 is the heavy metal concentration threshold; YJ represents the actual concentration of organic pollutants; YJ0 is the threshold value for organic pollutant concentration; pH refers to the actual acidity or alkalinity. The actual concentrations of heavy metals (ZJ), organic pollutants (YJ), and pH reflect the concentrations of heavy metals, organic pollutants, and pH in the soil currently being monitored. The heavy metal concentration thresholds (ZJ0), organic pollutant concentration thresholds (YJ0 and 7) are reference benchmarks for the concentrations of heavy metals, organic pollutants, and pH that are manually set at the beginning of monitoring. In this context, 'a' and 'b' are both weighting coefficients, and they are set based on the impact of heavy metals and organic pollutants on the soil currently being monitored. If heavy metals have a significant impact on the soil currently being monitored, and organic pollutants have a minor impact on the soil currently being monitored, then value a is 20 and value b is 10. If the impact of heavy metals on the soil currently being monitored is small, and the impact of organic pollutants on the soil currently being monitored is large, then a is taken as 10 and b is taken as 20. If pH=7, then A result of 0 indicates that the soil pH meets the standard.

[0020] In the algorithm of this embodiment The calculation unit is used to assess the degree of heavy metal pollution in the soil. It quantifies the degree of heavy metal pollution by comparing the actual concentration of heavy metals ZJ in the soil with the heavy metal concentration threshold ZJ0 and multiplying it by a weighting coefficient a. If the actual concentration of heavy metals ZJ is higher than the heavy metal concentration threshold ZJ0, the value of this item is larger, indicating that the heavy metal pollution is more serious. As an important component of the unit for assessing the degree of soil pollution, it reflects the status of heavy metal pollution in the soil and has a direct impact on the overall pollution index. The calculation section assesses the degree of organic pollution in the soil. Similar to the above, it compares the actual concentration of organic pollutants (YJ) in the soil with the organic pollutant concentration threshold (YJ0) and multiplies it by another weighting coefficient (b) to emphasize the impact of organic pollutants on soil pollution. As an important component of the unit assessing the degree of soil pollution, it reflects the status of soil organic pollution and makes a significant contribution to the overall pollution index. The calculation section is used to assess the impact of soil pH on soil pollution; here, we use... The form is because soil is most ideal when it is neutral (pH=7). The further it deviates from neutral, the greater the impact on soil pollution. The square operation enhances the impact of this deviation. As another component of the unit for assessing the degree of soil pollution, it reflects the soil acidity and alkalinity and has a moderating effect on the overall pollution index. also, The calculation results for each molecule in the calculation section, i.e. The calculation results are normalized, and the denominator is... This ensures that the final soil pollution index TW is within a reasonable range, eliminates the inconsistency of dimensions caused by weighting coefficients and different calculation items, makes the calculation results of the soil pollution index TW comparable and reasonable, and facilitates the comparison of pollution levels between different soil samples. Heavy metals, as discussed in this embodiment, are common pollutants in soil, posing a serious threat to soil ecosystems and human health. By monitoring the actual concentration ZJ of heavy metals, we can understand the accumulation of heavy metals in the soil and thus determine whether the soil is contaminated by heavy metals. Organic pollutants mainly originate from agricultural activities, industrial emissions, and waste generated during urbanization. Their pollution levels in the soil are equally significant. By measuring the actual concentration YJ of organic pollutants, we can assess the accumulation of organic pollutants in the soil and provide a basis for developing targeted improvement measures. Finally, the actual pH value is an important factor affecting the activity of soil pollutants. Under different pH conditions, the solubility, adsorption capacity, and bioavailability of soil pollutants will change. Therefore, by monitoring the actual pH value, we can more accurately assess the actual degree of harm caused by soil pollutants. The unit assessing the degree of soil pollution integrates these parameters through specific mathematical operations to form a comprehensive and scientific soil pollution index (TW). The quantitative analysis of the soil pollution index TW makes the assessment results more objective and accurate, and facilitates comparison and analysis. At the same time, the calculation results of the soil pollution index TW can also be directly used to guide soil pollution improvement measures, including reducing the emission of heavy metals and organic pollutants and adjusting the soil pH value.

[0021] Reference Figures 1-3As shown in this implementation plan, the calculation formula for assessing the impact of soil pollution on groundwater is as follows: ; in: DS stands for Groundwater Pollution Risk Index; S is the permeability coefficient, which reflects the current rate of infiltration from the soil to the groundwater. The larger the value of the permeability coefficient S, the faster the water infiltrates through the soil and the smaller the soil's resistance to water. Conversely, the smaller the value of the permeability coefficient S, the slower the infiltration rate and the greater the soil's resistance to water. TH represents soil thickness, reflecting the current thickness of the soil being monitored. K1 and k2 are both weighting coefficients; The formula for calculating the permeability coefficient S is as follows: ; in: BL is the rate of change of water volume, and S is obtained by measuring the rate of decline of the water level in the soil currently being monitored. Δt is the time interval; h1 is the initial head height, reflecting the head height at the beginning of time interval Δt; h2 is the head height at the end of the time interval Δt.

[0022] The algorithm in this embodiment In the calculation section, TW is the soil pollution index, which reflects the degree of soil pollution itself; S is the permeability coefficient, which reflects the rate of soil infiltration into groundwater; TH is the soil thickness; and k1 is a coefficient determined experimentally. This item comprehensively considers the impact of soil pollution degree, permeability, and soil thickness on the risk of groundwater pollution, quantifying the risk of soil pollution entering groundwater through infiltration. The larger the permeability coefficient S, the smaller the soil thickness TH, and the higher the soil pollution index TW, the larger this item value indicates that the risk of soil pollution to groundwater pollution is higher. It is the core part of assessing the impact of soil pollution on groundwater. In the calculation section, YJ represents the actual concentration of organic pollutants, and S is the permeability coefficient. The calculation section reflects the relationship between the diffusion and infiltration capacity of organic pollutants in soil. k2 is another coefficient used to adjust for the impact of organic pollutant concentration YJ and infiltration coefficient S on groundwater pollution risk. This assesses the risk of groundwater pollution from the perspective of organic pollutant diffusion, supplementing the existing calculations. The calculations do not fully consider the diffusion factors of organic pollutants, providing more comprehensive information for groundwater pollution risk assessment. In this embodiment, the permeability coefficient S is an important parameter describing the characteristics of soil moisture movement. It reflects the soil's ability to permeate water. In groundwater pollution risk assessment, the magnitude of the permeability coefficient S directly determines the speed and extent of soil pollutant migration into groundwater. Therefore, by measuring the permeability coefficient S, the impact of soil pollution on groundwater can be assessed more accurately. Soil thickness TH is one of the important factors affecting groundwater pollution risk. A thicker soil layer can slow down the migration speed of soil pollutants into groundwater, thereby reducing the risk of groundwater pollution. Therefore, the influence of soil thickness TH must be considered when assessing groundwater pollution risk. The assessment of the impact of soil pollution on groundwater combines these parameters with the soil pollution index TW to form an effective groundwater pollution risk index DS. The groundwater pollution risk index DS can not only continuously monitor and dynamically assess the risk of groundwater pollution based on real-time dynamic data on soil pollution and soil characteristics, but also provide a scientific basis for the protection and management of groundwater resources.

[0023] Reference Figures 1-3 As shown in this implementation plan, the calculation formula for assessing the ecological health status unit is as follows: ; F=FM / ZM; W=HW / ZW; in: JP stands for Ecosystem Health Index; F represents vegetation coverage; FM stands for vegetation cover area, which reflects the total area of ​​vegetation cover in the soil currently being monitored. ZM represents the total soil area, reflecting the total area of ​​soil currently being monitored. W represents the biodiversity index; HW is the actual species count, which reflects the total number of biological species actually present in the soil currently being monitored. ZW represents the total number of species; v1 and v2 are both weighting coefficients.

[0024] The algorithm in this embodiment In the calculation section, DS is the groundwater pollution risk index, reflecting the potential threat of groundwater pollution to the ecosystem; F is the vegetation cover rate, reflecting the vegetation cover in the ecosystem; and v1 is the weighting coefficient. The calculation section represents the moderating effect of vegetation cover (F) on groundwater pollution. The higher the vegetation cover (F), the smaller this value, indicating a stronger buffering effect of vegetation on groundwater pollution. The calculation part assesses the impact of groundwater pollution on vegetation health, quantifies the degree of combined impact of groundwater pollution and vegetation cover F on ecosystem health, and is an important aspect of assessing ecosystem health. In the calculation section, W is the biodiversity index, reflecting the richness of biological species in the ecosystem; S is the permeability coefficient; and v² is the weighting coefficient. The calculated value represents the moderating effect of biodiversity on ecosystem health. Higher biodiversity levels correspond to lower values ​​for this value, indicating a greater contribution of biodiversity to ecosystem stability. The calculation section represents the impact of permeability coefficient on ecosystem health. The larger the permeability coefficient S, the smaller this value, indicating that the soil has a weaker ability to impede water and pollutants, which in turn has a certain negative impact on ecosystem health. The calculation section comprehensively considers the impact of biodiversity and permeability coefficient S on ecosystem health, supplementing the factors of biodiversity and soil characteristics in ecosystem health assessment, making the assessment more comprehensive; Overall In the calculation, 100 serves as a baseline value, representing an index indicating that the ecosystem is in an ideal state of health. The calculation part deals with the various influencing factors of the molecule, namely... The calculation part normalizes the comprehensive calculation results and obtains the final ecosystem health index JP by subtracting this normalized result from 100. It quantifies and integrates the negative impact of various factors on ecosystem health and reflects the health status of the ecosystem in a unified index form, which facilitates the comparison and evaluation of ecosystem health in different regions or at different times. In this embodiment, the groundwater pollution risk index DS is an important component of the ecosystem health index. DS reflects the impact of groundwater pollution on the ecosystem. Groundwater is one of the important water sources in an ecosystem, and its pollution status directly affects the health of the ecosystem. Therefore, incorporating the groundwater pollution risk index DS into the ecosystem health index assessment system can more comprehensively reflect the health status of the ecosystem. Vegetation is an important component of an ecosystem, and the level of vegetation coverage F directly reflects the stability and productivity level of the ecosystem. Therefore, using vegetation coverage F as one of the assessment indicators of the ecosystem health index can more accurately assess the health status of the ecosystem. Furthermore, biodiversity is one of the important indicators of ecosystem health; the higher the biodiversity, the stronger the stability and resilience of the ecosystem. Therefore, incorporating the biodiversity index W into the ecosystem health index assessment system can more comprehensively reflect the health status of the ecosystem and the importance of biodiversity conservation. The ecological health assessment unit integrates these parameters through specific mathematical operations to form a comprehensive and scientific ecosystem health index JP. The assessment results of the ecosystem health index JP can be directly used to guide the protection and restoration of ecosystems. At the same time, by continuously monitoring and assessing the ecosystem health index JP, it is also possible to identify problems in the ecosystem in a timely manner and take corresponding improvement measures, thereby promoting the sustainable development of ecosystems.

[0025] Reference Figures 1-3 As shown in this implementation plan, the monitoring and analysis steps based on the ecosystem health index JP and the different scoring ranges are as follows: S1: Prioritize the ecosystem health index JP of all monitored soils within the national land space planning area from low to high and from left to right. S2: Based on the priority order of the previous and current monitoring, a comparison is made. When comparing, the monitoring soils whose current ecosystem health index JP has decreased by 20 compared with the previous ecosystem health index JP are extracted separately and used as the monitoring soils that need to be prioritized for improvement analysis in the land and space planning. S3: After extraction, improve the monitored soils that fall within the 60-80 and 50-60 score ranges according to the current priority order; S4: When performing improvement analysis, combine the soil pollution index TW and the groundwater pollution risk index DS of the respective monitored soils. If the increase in risk of the soil pollution index TW is greater than that of the groundwater pollution risk index DS, then the soil pollution problem should be improved. If the increase in risk of the groundwater pollution risk index DS is greater than that of the soil pollution index TW, then the groundwater pollution problem should be improved.

[0026] In this embodiment, although the ecological health status assessment unit is directly used to assess the health status of the ecosystem, it can indirectly affect the input parameters in the soil pollution assessment unit by influencing soil management decisions. When the ecosystem health index JP value is low, measures to improve soil quality can be taken to reduce the degree of soil pollution, thereby reducing the soil pollution index TW value. This feedback mechanism helps to form a cyclical impact system, promoting the continuous improvement of soil and ecosystem. At the same time, by comparing the assessment results of the ecological health status assessment unit and the soil pollution assessment unit, the problems existing in the soil and ecosystem and their severity can be more accurately determined, thereby formulating more effective improvement strategies. When the ecosystem health index JP value decreases and the soil pollution index TW value increases, comprehensive improvement measures can be given priority to simultaneously address soil pollution and ecosystem health issues. Specifically, real-time monitoring can capture subtle changes in ecosystems, including dynamic fluctuations in groundwater pollution, vegetation cover, and biodiversity. This immediate feedback mechanism provides decision-makers with a valuable window of opportunity to intervene before problems worsen. Through continuous data collection and analysis, real-time health records of ecosystems can be built, providing a scientific basis for long-term environmental management and planning. The Ecosystem Health Index JP, represented by the ecological health status unit, integrates the Groundwater Pollution Risk Index DS, Vegetation Coverage F, and Biodiversity Index W to form a comprehensive indicator reflecting the health status of the ecosystem. This comprehensive scoring system helps identify key problems and weak links in the ecosystem, thereby guiding the formulation and implementation of improvement measures. By setting different scoring ranges, the health status of the land spatial planning environment can be graded and assessed, clarifying which areas need priority improvement. The setting of priorities helps to rationally allocate resources and ensure that improvement measures are targeted at the areas and problems that require the most attention. The units for assessing the degree of soil pollution and the units for assessing the impact of soil pollution on groundwater are used to evaluate the risks of soil and groundwater pollution, respectively. During the remediation process, these formulas can provide key information about pollution sources, pollution levels, and pollution spread trends. Based on this information, targeted remediation measures can be developed, including reducing pollution sources, strengthening soil remediation, and improving groundwater quality. After the implementation of remediation measures, their effectiveness needs to be verified again through real-time monitoring and evaluation. This feedback loop helps to continuously adjust and optimize remediation strategies, ensuring the continuous improvement of the ecosystem health index. Furthermore, through continuous monitoring and evaluation, new environmental problems or challenges can be identified in a timely manner, providing early warnings and references for future environmental management and planning. In summary, the beneficial effects of this scoring analysis, improvement, and feedback loop are mainly reflected in real-time monitoring and dynamic assessment, the advantages of the comprehensive scoring system, scoring-based priority setting, improvement strategies that combine assessment of soil pollution levels with assessment of the impact of soil pollution on groundwater, and feedback loops and continuous improvement. This comprehensive environmental management and planning approach helps ensure the sustainable development of the national land space planning environment and protect the health and stability of ecosystems.

[0027] It should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should also be within the scope of protection of this invention.

Claims

1. A method for monitoring the environmental impact of land spatial planning, comprising a data monitoring and acquisition module and a data processing and analysis module, characterized in that: The data processing and analysis module includes a unit for assessing the degree of soil pollution, a unit for assessing the impact of soil pollution on groundwater, a unit for assessing the ecological health status, and a scoring and analysis unit. The specific monitoring methods and steps are as follows: S1: Using the data monitoring and acquisition module, the heavy metals, organic pollutants, pH concentration, vegetation cover, and biodiversity of various monitored soils in the land spatial planning are dynamically monitored and collected, and transmitted to the data processing and analysis module. S2: Using the data processing and analysis module, calculate and output the soil pollution index TW, the groundwater pollution risk index DS, and the ecosystem health index JP in sequence; S3: Based on the different scoring ranges set by the scoring setting and analysis unit, and the ecosystem health index JP of each monitored soil, the scoring setting and analysis unit is used to perform dynamic ranking comparison of priorities and analysis of existing problems.

2. The method for monitoring the environmental impact of land spatial planning according to claim 1, characterized in that: The different scoring ranges are defined as follows: 80-100, 60-80, 50-60, and 50-0. A score of 80-100 indicates excellent monitoring performance; 60-80 represents the monitoring score for issues that need improvement; A score of 50-60 indicates a monitoring problem. A score of 50-0 indicates a monitoring score for a very serious problem that is difficult to improve.

3. The method for monitoring the environmental impact of land spatial planning according to claim 2, characterized in that: The calculation formula for the unit used to assess the degree of soil contamination is as follows: ； in: TW stands for Soil Pollution Index; ZJ represents the actual concentration of heavy metals; ZJ0 is the heavy metal concentration threshold; YJ represents the actual concentration of organic pollutants; YJ0 is the threshold value for organic pollutant concentration; pH refers to the actual acidity or alkalinity. In this context, 'a' and 'b' are both weighting coefficients, and they are set based on the impact of heavy metals and organic pollutants on the soil currently being monitored. If heavy metals have a significant impact on the soil currently being monitored, and organic pollutants have a minor impact on the soil currently being monitored, then value a is 20 and value b is 10. If the impact of heavy metals on the soil currently being monitored is small, and the impact of organic pollutants on the soil currently being monitored is large, then a is taken as 10 and b is taken as 20. If pH=7, then A result of 0 indicates that the soil pH meets the standard.

4. The method for monitoring the environmental impact of land spatial planning according to claim 3, characterized in that: The calculation formula for the unit assessing the impact of soil pollution on groundwater is as follows: ； in: DS stands for Groundwater Pollution Risk Index; S is the permeability coefficient, which reflects the rate at which soil seeps into groundwater during the current monitoring process. TH represents soil thickness, reflecting the current thickness of the soil being monitored. K1 and k2 are both weighting coefficients.

5. A method for monitoring the environmental impact of land spatial planning according to claim 4, characterized in that: The calculation formula for the ecological health status assessment unit is as follows: ； F=FM / ZM; W=HW / ZW; in: JP stands for Ecosystem Health Index; F represents vegetation coverage; FM stands for vegetation cover area, which reflects the total area of ​​vegetation cover in the soil currently being monitored. ZM represents the total soil area, reflecting the total area of ​​soil currently being monitored. W represents the biodiversity index; HW is the actual species count, which reflects the total number of biological species actually present in the soil currently being monitored. ZW represents the total number of species; v1 and v2 are both weighting coefficients.

6. The method for monitoring the environmental impact of land spatial planning according to claim 5, characterized in that: The monitoring and analysis steps based on the ecosystem health index JP and the different scoring ranges are as follows: S1: Prioritize the ecosystem health index JP of all monitored soils within the national land space planning area from low to high and from left to right. S2: Based on the priority order of the previous and current monitoring, a comparison is made. When comparing, the monitoring soils whose current ecosystem health index JP has decreased by 20 compared with the previous ecosystem health index JP are extracted separately and used as the monitoring soils that need to be prioritized for improvement analysis in the land and space planning. S3: After extraction, improve the monitored soils that fall within the 60-80 and 50-60 score ranges according to the current priority order; S4: When performing improvement analysis, combine the soil pollution index TW and the groundwater pollution risk index DS of the respective monitored soils. If the increase in risk of the soil pollution index TW is greater than that of the groundwater pollution risk index DS, then the soil pollution problem should be improved. If the increase in risk of the groundwater pollution risk index DS is greater than that of the soil pollution index TW, then the groundwater pollution problem should be improved.

7. A method for monitoring the environmental impact of land spatial planning according to claim 5, characterized in that: The formula for calculating the permeability coefficient S is as follows: ； in: BL is the rate of change of water volume, and S is obtained by measuring the rate of decline of the water level in the soil currently being monitored. Δt is the time interval; h1 is the initial head height, reflecting the head height at the beginning of time interval Δt; h2 is the head height at the end of the time interval Δt.

8. A method for monitoring the environmental impact of land spatial planning according to claim 1, characterized in that: The equipment used in the data monitoring and acquisition module includes soil sampling equipment, groundwater sampling equipment, vegetation coverage measurement equipment, biodiversity survey equipment, and monitoring equipment. The data processing and analysis module uses data processing and analysis equipment.

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