Method, equipment and product for determining comprehensive bearing state of land resource environment

Abstract

The invention discloses a land resource environment comprehensive bearing state determination method, device and product, and relates to the field of land resource planning and development, and the method comprises the steps: determining a research region subunit; the land resource data and the population resource data of the research area subunits are processed by utilizing a basic analysis system, and the water resource data, the land resource data and the population resource data of the research area subunits are processed by utilizing water resource bearing state analysis; ecological condition bearing state analysis is used for processing ecological condition data of the research area subunits, and environmental resource bearing state analysis is used for processing environmental resource data and water resource data of the research area subunits; obtaining a land resource bearing capacity basic state, a water resource bearing state, an ecological condition bearing state and an environment condition bearing state, and determining a land resource environment comprehensive bearing state of the research area subunit according to the obtained states. According to the method, the real and accurate land bearing condition is obtained through comprehensive analysis.

Description

Technical Field

[0001] This application relates to the field of land and resources planning and development, and in particular to a method, equipment and product for determining the comprehensive carrying capacity of land resources and environment. Background Technology

[0002] With the rapid and coordinated development of industrialization, informatization, urbanization, agricultural modernization, and green development, limited national land space must accommodate larger-scale and more intensive economic and social activities. This has led to increasingly intense contradictions and conflicts among population, resources, and the environment. However, current assessments of national land carrying capacity suffer from core shortcomings, such as insufficient application of results and weak support for major development issues, resulting in a significant gap between current assessments and the strategic needs of ecological civilization construction and new urbanization development. Therefore, comprehensively improving the assessment of national land carrying capacity has become an urgent need for national development.

[0003] Existing technologies for assessing the carrying capacity of national land space revolve around a single chain of "arable land-food-population," simplifying the calculation of national land space carrying capacity to population carrying capacity with food output as the sole metric. While this simplified model is highly operational, it seriously ignores the constraints of key factors such as water resources, ecological environment, energy, and infrastructure, as well as the complex interactions of economic and social activities. Summary of the Invention

[0004] The purpose of this application is to provide a method, equipment, and product for determining the comprehensive carrying capacity of land resources and environment, which can comprehensively analyze the carrying capacity of national land space and obtain a true and accurate land carrying capacity status.

[0005] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a method for determining the comprehensive carrying capacity of land resources and the environment, including: The study area units are determined and divided into multiple study area sub-units; each study area unit includes the study area and the corresponding research data; the research data includes land resource data, water resource data, ecological condition data, environmental resource data, and population resource data.

[0006] The land resource data and population resource data of each sub-unit of the study area are processed using the basic analysis system in the comprehensive land carrying capacity analysis system to obtain the basic state of land resource carrying capacity of each sub-unit of the study area; the comprehensive land carrying capacity analysis system also includes a correction analysis system; the correction analysis system includes water resource carrying capacity analysis, ecological condition carrying capacity analysis, and environmental resource carrying capacity analysis.

[0007] The water resource carrying capacity analysis is used to process the research data of the study area unit and the water resource data, land resource data and population resource data of each sub-unit of the study area to obtain the water resource carrying capacity of each sub-unit of the study area.

[0008] The ecological condition carrying capacity analysis is used to process the ecological condition data of each sub-unit of the study area to obtain the ecological condition carrying capacity of each sub-unit of the study area.

[0009] The environmental resource carrying capacity analysis is used to process the environmental resource data and water resource data of each sub-unit of the study area to obtain the environmental carrying capacity of each sub-unit of the study area.

[0010] Based on the basic status of land resource carrying capacity, water resource carrying capacity, ecological condition carrying capacity, and environmental condition carrying capacity of each sub-unit of the study area, the comprehensive carrying capacity of land resources and environment of each sub-unit of the study area is determined.

[0011] Secondly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the steps of the method for determining the comprehensive carrying capacity of land resources and environment described above.

[0012] Thirdly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the method for determining the comprehensive carrying capacity of land resources and environment described above.

[0013] According to the specific embodiments provided in this application, this application has the following technical effects: This application provides a method, equipment, and product for determining the comprehensive carrying capacity status of land resources and the environment. It utilizes a basic analysis system within the comprehensive land carrying capacity analysis framework to process land resource data, obtaining the basic state results of the land resource carrying capacity of the study area. Based on this, a corrective analysis system is used to conduct a corrective evaluation of the comprehensive land carrying capacity, combining the carrying capacity of water resources, ecological conditions, and environmental resources to ultimately determine the regional comprehensive land carrying capacity level. This allows for a comprehensive analysis of land carrying capacity, yielding the carrying capacity of national land space. Through a comprehensive, coordinated, and complete analytical method, it can automatically identify and accurately capture the "short-board resources" or "core contradictions" of different regions. It is not only applicable to regions with different conditions but also provides a true and accurate understanding of the land carrying capacity status. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is an application environment diagram of a method for determining the comprehensive carrying capacity of land resources and environment in one embodiment of this application; Figure 2 A flowchart illustrating a method for determining the comprehensive carrying capacity of land resources and environment, provided as an embodiment of this application; Figure 3 A flowchart illustrating a method for determining the comprehensive carrying capacity of land resources and the environment, as provided in another embodiment of this application; Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0016] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0017] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] The method for determining the comprehensive carrying capacity of land resources and environment provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be set up independently, integrated into server 104, or placed in the cloud or on another server. Terminal 102 can send the research area and corresponding research data of the research area unit to server 104. After receiving the research area and corresponding research data of the research area unit, server 104 divides the research area unit into multiple research area sub-units. Server 104 uses the basic analysis system in the comprehensive land carrying capacity analysis system to process the land resource data and population resource data of each research area sub-unit to obtain the basic state of land resource carrying capacity of each research area sub-unit. The comprehensive land carrying capacity analysis system also includes a correction analysis system; the correction analysis system includes water resource carrying capacity analysis, ecological condition carrying capacity analysis, and environmental resource carrying capacity analysis; the research on the research area unit is conducted using the water resource carrying capacity analysis. The data, including water resource data, land resource data, and population resource data for each sub-unit of the study area, are processed to obtain the water resource carrying capacity status of each sub-unit. The ecological condition carrying capacity analysis is used to process the ecological condition data of each sub-unit to obtain the ecological condition carrying capacity status of each sub-unit. The environmental resource carrying capacity analysis is used to process the environmental resource data and water resource data of each sub-unit to obtain the environmental condition carrying capacity status of each sub-unit. Based on the basic land resource carrying capacity status, water resource carrying capacity status, ecological condition carrying capacity status, and environmental condition carrying capacity status of each sub-unit, the comprehensive land resource and environmental carrying capacity status of each sub-unit is determined. Server 104 can feed back the obtained comprehensive land resource and environmental carrying capacity status of each sub-unit to terminal 102. In addition, in some embodiments, the method for determining the comprehensive carrying capacity of land resources and environment can also be implemented by the server 104 or the terminal 102 separately. For example, the terminal 102 can directly process the study area and corresponding study data of the study area unit, or the server 104 can obtain the study area and corresponding study data of the study area unit from the data storage system and process the multiple study area sub-units obtained by dividing the study area unit.

[0019] The terminal 102 can be, but is not limited to, various desktop computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle devices. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. The server 104 can be implemented using a standalone server or a server cluster composed of multiple servers, or it can be a cloud server.

[0020] In one exemplary embodiment, such as Figure 2 As shown, a method for determining the comprehensive carrying capacity of land resources and the environment is provided. This method is executed by computer equipment, specifically by a terminal or server alone, or by both a terminal and a server. In this embodiment, the method is applied to... Figure 1 Taking server 104 as an example, the explanation includes steps 100 to 600. Wherein: Step 100: Determine the study area unit and divide the study area unit into multiple study area sub-units; the study area unit includes the study area and the corresponding research data; the research data includes land resource data, water resource data, ecological condition data, environmental resource data and population resource data.

[0021] Step 200: The land resource data and population resource data of each sub-unit of the study area are processed using the basic analysis system in the comprehensive land carrying capacity analysis system to obtain the basic state of land resource carrying capacity of each sub-unit of the study area; the comprehensive land carrying capacity analysis system also includes a correction analysis system; the correction analysis system includes water resource carrying capacity analysis, ecological condition carrying capacity analysis and environmental resource carrying capacity analysis.

[0022] Step 300: The research data of the study area unit and the water resource data, land resource data and population resource data of each sub-unit of the study area are processed using the water resource carrying capacity analysis to obtain the water resource carrying capacity of each sub-unit of the study area.

[0023] Step 400: The ecological condition carrying capacity analysis is used to process the ecological condition data of each sub-unit of the study area to obtain the ecological condition carrying capacity of each sub-unit of the study area.

[0024] Step 500: The environmental resource carrying capacity analysis is used to process the environmental resource data and water resource data of each sub-unit of the study area to obtain the environmental carrying capacity of each sub-unit of the study area.

[0025] Step 600: Determine the comprehensive carrying capacity of land resources and environment for each sub-unit of the study area based on the basic carrying capacity of land resources, the carrying capacity of water resources, the carrying capacity of ecological conditions, and the carrying capacity of environmental conditions.

[0026] By implementing steps 100 to 600 above, the land resource data is processed using the basic analysis system within the comprehensive land carrying capacity analysis system to obtain the basic state results of the land resource carrying capacity of the study area. Based on this, a revised analysis system is used to conduct a revised evaluation of the comprehensive land carrying capacity, combining the carrying capacity of water resources, ecological conditions, and environmental resources to ultimately determine the regional comprehensive land carrying capacity level. This allows for a comprehensive analysis of land carrying capacity and yields the national land space carrying capacity. Through a comprehensive, coordinated, and complete analytical method, the system can automatically identify and accurately capture the "short-board resources" or "core contradictions" of different regions. It is not only applicable to regions with different conditions but also provides a true and accurate understanding of the land carrying capacity situation.

[0027] Furthermore, this application integrates and modifies the assessment of land resources from two aspects: basic evaluation and multi-resource factor-based modified evaluation. It further modifies and analyzes the basic state of land resource carrying capacity obtained through the basic analysis system within the comprehensive land carrying capacity analysis system. Combining water, ecological, and environmental resources, it clarifies the carrying capacity status of water resources, ecological conditions, and environmental conditions, thus constructing a complete system for evaluating the comprehensive carrying capacity status of regional land. This system comprehensively considers multiple factors to determine the comprehensive carrying capacity status of land resources and the environment. Compared to single-resource carrying capacity analysis, this approach is more comprehensive and has stronger applicability to regions with different conditions. It provides new ideas for improving the level of ecological construction and guiding the formation of a land spatial development pattern that conserves resources and protects the environment, and has good theoretical reference value. It can provide basic support for the optimal allocation of land resources and coordinated regional development, provide guidance for the optimal allocation of provincial land resources, and provide basic ideas for the preparation of national (spatial) planning and the implementation of national spatial optimization work.

[0028] In another embodiment, the construction of the comprehensive land carrying capacity analysis system specifically includes: determining the selection principles for evaluation indicators, which adhere to the principles of scientificity, systematicity, hierarchy, representativeness, operability, and comprehensiveness; clarifying the target layer, which includes a basic analysis system and a revised analysis system; dividing the element layer, which includes: basic state of land resource carrying capacity A1, water resource carrying capacity B1, ecological condition carrying capacity B2, and environmental condition carrying capacity B3; and constructing an index layer, which includes: construction land pressure index A11, arable land development pressure index A12, water resource carrying capacity index B11, water and soil resource matching index B12, ecological environment condition index B21, comprehensive atmospheric environmental capacity index B31, and water environmental quality index B32. The indicator layer is decomposed and includes: the current development level of construction land, the regional construction and development threshold, per capita arable land productivity, the degree of arable land development and utilization, the per capita available water resources carrying capacity index, the per capita comprehensive water consumption carrying capacity index, the agricultural water use and arable land matching index, the domestic and industrial water use and urban and industrial water use matching index, the land degradation index, the ecological degradation index, the atmospheric environmental capacity, and the water environmental capacity. This application, based on the actual situation of land resources, mineral resources, and geological environment, designs quantifiable, comparable, and targeted index indicators and specific indicators, constructs an indicator system by type, ensures strong indicator availability, and demonstrates good comprehensiveness, coordination, and completeness in the analysis results.

[0029] In another exemplary embodiment of this application, the water resource carrying capacity analysis includes a method for determining the matching index of domestic and industrial water use with urban and industrial sectors, a method for determining per capita available water resources, a method for determining per capita comprehensive water consumption, a method for determining the matching index of agricultural water use with arable land, a method for determining the indicator status level, and a method for determining the water resource carrying capacity status. In step 300, the water resource carrying capacity analysis is used to process the research data of the study area unit and the water resource data, land resource data, and population resource data of each sub-unit of the study area to obtain the water resource carrying capacity status of each sub-unit of the study area, specifically including: Step 301: Based on the research data of the research area unit, determine the water resource quantity, comprehensive water consumption, domestic and industrial water consumption, and agricultural water consumption in the water resource data of each research area sub-unit.

[0030] Step 302: Based on the research data of the research area unit, determine the current scale of cultivated land and urban and industrial land in the land resource data of each research area sub-unit.

[0031] Step 303: Based on the research data of the research area unit, determine the total population in the population resource data of each research area sub-unit.

[0032] Step 304: Calculate the per capita available water resources of each study area sub-unit based on the method for determining per capita available water resources, the total population and water resources of each study area sub-unit.

[0033] In one embodiment, the method for determining the per capita available water resources is: [per capita available water resources] = [water resources of the study area sub-unit] / [total population of the study area sub-unit].

[0034] Step 305: Calculate the per capita comprehensive water consumption of each study area sub-unit based on the method for determining per capita comprehensive water consumption, the total population and comprehensive water consumption of each study area sub-unit.

[0035] In one embodiment, the method for determining the per capita comprehensive water consumption is: [per capita comprehensive water consumption] = [comprehensive water consumption of the study area sub-unit] / [total population of the study area sub-unit].

[0036] Step 306: Calculate the agricultural water use and arable land matching index for each sub-unit of the study area based on the method for determining the matching index of agricultural water use and arable land, the current arable land and agricultural water use of the study area unit, and the current arable land and agricultural water use of the sub-units of the study area.

[0037] In one embodiment, the method for determining the matching index between agricultural water use and arable land is as follows: .

[0038] Step 307: Based on the method for determining the matching index of domestic and industrial water use with urban and industrial use, the scale of urban and industrial land use in the study area unit, and the domestic and industrial water use and the scale of urban and industrial land use in each sub-unit of the study area, calculate the matching index of domestic and industrial water use with urban and industrial use for each sub-unit of the study area.

[0039] In one embodiment, the method for determining the matching index between domestic and industrial water use and urban industrial and mining water use is as follows: .

[0040] Step 308: Calculate the per capita available water resource carrying capacity index for each sub-unit of the study area based on the indicator status level determination method and the per capita available water resource quantity for each sub-unit of the study area.

[0041] Based on the method for determining the indicator status level and the per capita comprehensive water consumption of each sub-unit of the study area, the per capita comprehensive water consumption carrying capacity index of each sub-unit of the study area is calculated.

[0042] Based on the method for determining the indicator status level and the agricultural water use and arable land matching index of each sub-unit of the study area, the carrying capacity index of the agricultural water use and arable land matching index of each sub-unit of the study area is calculated.

[0043] Based on the method for determining the indicator status level and the matching index of domestic and industrial water use with urban and industrial activities in each sub-unit of the study area, the carrying capacity index of the matching index of domestic and industrial water use with urban and industrial activities in each sub-unit of the study area is calculated.

[0044] In one embodiment, the method for determining the indicator status level is as follows: ; In the formula, p is the carrying capacity index of a single indicator, and V 现 V represents the actual current value of a single indicator. 阈 V is the carrying threshold for a single indicator. 理 These are the ideal values ​​for individual indicators. The thresholds for per capita available water resources and per capita comprehensive water consumption are referenced to the water scarcity warning line set by UNESCO. The ideal values ​​for per capita water resources and per capita comprehensive water consumption are calculated based on government planning, resulting in a threshold of 1 for the matching index between agricultural water use and arable land, and the matching index between domestic and industrial water use and urban and industrial sectors. The ideal values ​​for the matching index between agricultural water use and arable land, and the matching index between domestic and industrial water use and urban and industrial sectors, are based on the aggregation and dispersion characteristics of the indicator values. These aggregation and dispersion characteristics are determined using cluster analysis methods for the indicator values ​​in the sub-units of the study area. When p ≥ 1, a value of 1 is assigned, indicating an excellent indicator status; when p ≤ -1, a value of -1 is assigned, indicating a very critical indicator status.

[0045] Step 309: Calculate the water resource carrying capacity of each sub-unit of the study area based on the water resource carrying capacity determination method, the carrying capacity index of matching indicators for domestic and industrial water use with urban and industrial activities, the carrying capacity index of matching indicators for agricultural water use with cultivated land, the carrying capacity index of per capita available water resources, and the carrying capacity index of per capita comprehensive water consumption.

[0046] In another embodiment, the water resource carrying capacity status is determined from the perspective of water resource elements, selecting four indicators: per capita available water resource carrying capacity index, per capita comprehensive water consumption carrying capacity index, agricultural water use and arable land matching index, and domestic and industrial water use and urban and industrial land matching index. Combining expert scoring, the analytic hierarchy process (AHP), and the Delphi method, the weights are determined as follows: per capita available water resource carrying capacity 0.3300, per capita comprehensive water consumption 0.2200, agricultural water use and arable land matching index 0.2025, and domestic and industrial water use and urban and industrial land matching index 0.2475. Based on the water resource carrying capacity determination method and the carrying capacity indices for domestic and industrial water use and urban and industrial land matching, agricultural water use and arable land matching, per capita available water resource carrying capacity, and per capita comprehensive water consumption carrying capacity for each sub-unit of the study area, the water resource carrying capacity status for each sub-unit of the study area is calculated using a weighted summation method. ; In the formula, T represents the water resource carrying capacity, and W... k f represents the weight of the k-index. k is the standardized value of the carrying capacity index of the k-index, and n is the total number of indicators.

[0047] When T < 0, the water resource carrying capacity status B1 is assessed as overloaded. When T ≥ 0, if the carrying capacity index of the matching indicators of domestic and industrial water use with urban and industrial sectors, the carrying capacity index of the matching indicators of agricultural water use with arable land, the carrying capacity index of per capita available water resources, and the carrying capacity index of per capita comprehensive water consumption are all overloaded, then the water resource carrying capacity status B1 is critically overloaded; otherwise, the water resource carrying capacity status B1 is considered to be within carrying capacity. Specifically, the overload status of each index is determined by comparing it with corresponding thresholds.

[0048] In another exemplary embodiment of this application, the ecological carrying capacity analysis includes a land degradation index determination method, an ecological degradation index determination method, and an ecological environment status index determination method. In step 400, the ecological condition data of each study area sub-unit are processed using the ecological carrying capacity analysis to obtain the ecological carrying capacity of each study area sub-unit, specifically including: Step 401: Based on the research data of the research area unit, determine the total area, land degradation area, degraded ecosystem area, and ecological land area in the ecological condition data of each research area sub-unit.

[0049] Step 402: Calculate the land degradation index for each study area sub-unit based on the land degradation index determination method, the land degradation area and total area of ​​each study area sub-unit.

[0050] In one embodiment, the method for determining the land degradation index is as follows: .

[0051] Step 403: Calculate the ecological degradation index for each sub-unit of the study area based on the ecological degradation index determination method and the degraded ecosystem area and ecological land area of ​​each sub-unit of the study area.

[0052] In one embodiment, the method for determining the ecological degradation index is as follows: ; In the formula, the area of ​​degraded ecosystems is equal to the sum of the area of ​​degraded forests and the area of ​​degraded grasslands, and the area of ​​ecological land is equal to the sum of all types of land with ecological functions within the evaluation unit, excluding urban and rural construction land and agricultural land such as cultivated land.

[0053] Step 404: Calculate the ecological environment status index of each sub-unit of the study area according to the method for determining the ecological environment status index and the land degradation index and ecological degradation index of each sub-unit of the study area.

[0054] In one embodiment, the ecological carrying capacity status B2 uses a comprehensive index (Ecological Environment Status Index, EI) to reflect the overall state of the regional ecological environment. The index system includes a land degradation index and an ecological degradation index. Based on an expert scoring method, the land degradation index has a weight of 0.6, and the ecological degradation index has a weight of 0.4.

[0055] The method for determining the ecological environment status index is as follows: ; In the formula, EI represents the ecological environment status index, and W... k f represents the weight of the k-index. k Let be the standardized value of the k-th carrying capacity index, and n be the total number of carrying capacity indices.

[0056] The normalization formulas for the land degradation index and the ecological degradation index are as follows: ; In the formula, V 归 V is the standardized value of a single load-bearing index. 现 V represents the current value of a single carrying capacity index. max This represents the maximum value of the single carrying capacity index among all sub-units of the study area.

[0057] Step 405: Sort the ecological environment status indices of all the sub-units of the study area in the study unit to obtain the ecological environment status index sequence. The sorting method can be from low to high.

[0058] Step 406: Calculate the ecological carrying capacity of each study area sub-unit based on the position of the ecological environment status index of each study area sub-unit in the ecological environment status index sequence.

[0059] In another exemplary embodiment of this application, the ecological environment status indexes of all the research area sub-units in the research unit are sorted from low to high to obtain an ecological environment status index sequence. According to the ecological environment status index of each research area sub-unit, if it is in the first 20% of the ecological environment status index sequence, it is in an overloaded state; if it is in the first 21% to 25% of the ecological environment status index sequence, it is in a critical state; and if it is in the first 26% to 100% of the ecological environment status index sequence, it is in a loadable state.

[0060] In another exemplary embodiment of this application, the environmental resource carrying capacity analysis includes a method for calculating the total pollutant discharge limit for functional zones, a method for determining the permissible discharge amount for a region, and a method for determining water environmental capacity. In step 500, the environmental resource carrying capacity analysis is used to process the environmental resource data and water resource data of each sub-unit of the study area to obtain the environmental carrying capacity of each sub-unit of the study area, specifically including: Step 501: Based on the research data of the study area unit, determine the geographic regional total quantity control coefficient, multiple functional zones, and functional information corresponding to each functional zone in the environmental resource data of each study area sub-unit; the functional information includes the area, and the regional local concentration values ​​and annual average concentration limits of air pollutants; the air pollutants include SO2, NO2, and PM2.5. 10 And CO.

[0061] Step 502: Based on the research data of the research area unit, determine the total water resources in the water resources data of each research area sub-unit, as well as the water quality information corresponding to the water quality indicators; the water quality information includes environmental quality standard values ​​and current status values; the water quality indicators include dissolved oxygen, chemical oxygen demand, five-day biochemical oxygen demand, ammonia nitrogen, total phosphorus, and total nitrogen.

[0062] Step 503: Calculate the total emission limit for each pollutant in each functional zone of each study area sub-unit based on the calculation method for the total emission limit of pollutants in the functional zone, the geographical regional total emission control coefficient of each study area sub-unit, and the functional information corresponding to each functional zone.

[0063] In one embodiment, the calculation of the total emission limit for each pollutant in each functional zone adopts the method for calculating the total emission limit for pollutants in each functional zone: ; ; In the formula, Q aki Let S be the annual allowable emission limit for a certain pollutant in the i-th functional zone, and S be the total area of ​​the total emission control zone. i Let A be the area of ​​the i-th functional region. ki Let be the annual allowable emission control coefficient for a certain pollutant in the i-th functional zone.

[0064] ; In the formula, C si C is the annual average concentration limit value corresponding to the i-th functional zone category as specified in the ambient air quality standards. b A represents the local concentration value for the region, and A is the regional total control coefficient (5.6-7.0 for a certain region, with an average of 6.3).

[0065] Step 504: Calculate the regional allowable emission of each air pollutant in each study area sub-unit based on the method for determining the allowable emission of the region and the total emission limit of each pollutant for all functional areas of each study area sub-unit.

[0066] In one embodiment, the method for determining the permissible emissions for a region is as follows: ; In the formula, Q ak Q represents the annual allowable emission limit for a certain pollutant in the total emission control area. aki Let n be the annual allowable emission limit for a certain pollutant in the i-th functional zone, n be the total number of functional zones, and i be the functional zone number within the total emission control zone.

[0067] Step 505: Determine the comprehensive atmospheric environmental capacity index for each study area sub-unit based on the regionally permissible emissions of all air pollutants in each study area sub-unit.

[0068] In one embodiment, nature reserves and scenic spots are classified as Class I areas, and the rest as Class II areas. The AP method is used, employing abridged DLTB data for the study unit and current status data for various pollutants for the year, to calculate the atmospheric environmental capacity of each study area sub-unit. SO2, NO2, and PM2.5 are included. 10As CO is the main research factor in atmospheric environmental quality, the data is normalized, and the weights of the four factors are determined to be 0.28, 0.27, 0.25, and 0.20 using expert scoring and analytic hierarchy process. The comprehensive atmospheric environmental capacity index B31 is the weighted score of the four factors.

[0069] Step 506: Based on the water environment capacity determination method, the total water resources of each study area sub-unit, and the water quality information corresponding to each water quality indicator, calculate the water environment capacity of each water quality indicator of each study area sub-unit.

[0070] In one embodiment, the method for determining the water environment capacity is as follows: ; In the formula, the environmental quality standards adopt the standard limits of various indicators specified in the "Surface Water Environmental Quality Standard" (GB3838-2002); the current water resources of different categories in each evaluation unit are calculated by the water function type division and water quality target of the main rivers and reservoirs in the relevant "Water Environment Functional Zoning" of the evaluation unit.

[0071] Step 507: Determine the water environment quality index of each study area sub-unit based on the water environment capacity of all water quality indicators of each study area sub-unit.

[0072] In one embodiment, chemical oxygen demand (COD), five-day biochemical oxygen demand (BOD5), ammonia nitrogen (NH3-N), total phosphorus, and total nitrogen are used as indicators for calculating the comprehensive water environment capacity index. The data are normalized, and the weights of the five indicators are determined to be 0.30, 0.22, 0.18, 0.15, and 0.15, respectively, using expert scoring and analytic hierarchy process. The water environment quality index B32 is the weighted score of the five indicators, and the water environment quality index B32 is calculated.

[0073] Step 508: Determine the environmental resource carrying capacity of each study area sub-unit based on the comprehensive atmospheric environmental capacity index and water environmental quality index of each study area sub-unit.

[0074] In one embodiment, the comprehensive air quality index B31 and the water quality index B32 are normalized and weighted using an expert scoring method, with each having a weight of 0.5. The environmental carrying capacity B3 is the weighted score of the two.

[0075] Step 509: Sort the environmental resource carrying capacity of all sub-units in the study area unit to obtain an environmental resource carrying capacity sequence. The sorting method can be from low to high.

[0076] Step 510: Calculate the environmental carrying capacity status of each sub-unit of the study area based on its position in the environmental carrying capacity sequence.

[0077] In another exemplary embodiment of this application, the environmental assessment mainly characterizes the regional environmental system's capacity to withstand and self-purify various types of pollution generated by socio-economic activities. Environmental capacity is used as the evaluation index, specifically reflecting the current environmental carrying capacity of the region through atmospheric capacity and water environmental capacity. Specifically, atmospheric environmental capacity is calculated using the AP value method, the total emission limit calculation formula for total emission control areas proposed in the national standard "Technical Methods for Formulating Emission Standards for Air Pollutants" (GB / T3840-91). Based on the calculated emission limits and the current background status of atmospheric environmental quality, the permissible emission amount for the region is determined, further determining the comprehensive atmospheric environmental capacity index for each sub-unit of the study area. Water environmental capacity (water body environmental capacity): Water resources mainly include surface water and groundwater. According to China's Environmental Protection Law and environmental standards, groundwater resources cannot be polluted; therefore, the water resources used in the environmental capacity calculation are mainly surface water resources. Six main indicators—dissolved oxygen, chemical oxygen demand (COD), five-day biochemical oxygen demand (BOD5), ammonia nitrogen (NH3-N), total phosphorus, and total nitrogen—were selected for calculation to determine the water environment capacity of each water quality indicator, and the water environment quality index was further obtained.

[0078] The environmental resource carrying capacity of all sub-units in the study area is sorted from low to high to obtain an environmental resource carrying capacity sequence. Each sub-unit is considered overloaded if its environmental resource carrying capacity is in the top 20% of the sequence, critical if it is in the top 21% to 25% of the sequence, and capable if it is in the top 26% to 100% of the sequence.

[0079] In another exemplary embodiment of this application, the basic analysis system includes construction land bearing capacity analysis and arable land development bearing capacity analysis. In step 200, the basic analysis system within the comprehensive land carrying capacity analysis system processes the land resource data and population resource data of each sub-unit of the study area to obtain the basic state of land resource carrying capacity of each sub-unit of the study area, specifically including: Step 201: Process the land resource data of each sub-unit of the study area using the construction land pressure analysis to obtain the construction land pressure state index of each sub-unit of the study area.

[0080] Step 202: The land resource data and population resource data of each sub-unit of the study area are processed using the farmland development pressure analysis to obtain the farmland development pressure state index of each sub-unit of the study area.

[0081] Step 203: Calculate the basic state of land resource carrying capacity for each sub-unit of the study area based on the construction land pressure state index and the cultivated land development pressure state index of each sub-unit of the study area.

[0082] In another exemplary embodiment of this application, the construction land pressure analysis includes a quantitative classification of development restriction indicators, a restriction coefficient method, a method for determining the degree of construction and development, and a method for determining the construction land pressure state index. In step 201, the land resource data of each sub-unit of the study area is processed using the construction land pressure analysis to obtain the construction land pressure state index for each sub-unit of the study area, specifically including: Step 601: Based on the development restrictive factors and the land resource data of each study area sub-unit, determine the factor type of each study area sub-unit; the development restrictive factors include strong restrictive factors and relatively strong restrictive factors; the strong restrictive factors include permanent basic farmland, mining subsidence areas and ecological protection red lines; the relatively strong restrictive factors include agricultural areas (general agricultural areas), seismically active zones, slope and sudden geological disasters.

[0083] Step 602: Based on the quantitative classification of the development constraint indicators and the factor type of each research area sub-unit, determine the factor value corresponding to each factor type of each research area sub-unit.

[0084] In one embodiment, an expert scoring method is used to assign values ​​of 0 and 1 to strong restriction factors, and values ​​of 0-100 to moderate restriction factors according to their restriction level.

[0085] Step 603: Calculate the land development suitability of each study area sub-unit based on the constraint coefficient method and the factor value corresponding to each factor type of each study area sub-unit.

[0086] In one embodiment, the study area is divided into sub-units to obtain segmented regions. A constraint coefficient method is applied to each segmented region. The constraint coefficient method is as follows: ; In the formula, E is the overall suitability score; j is the strong limiting factor number; k is the relatively strong limiting factor number; Fj is the suitability score of the j-th strong limiting factor; f k w represents the suitability score for the k-th stronger limiting factor. kis the weight of the k-th strong constraint factor; m is the number of strong constraint factors; n is the number of relatively strong constraint factors. Based on the suitability evaluation scores, cluster analysis is used to classify the suitability of the segmented areas for construction and development into suitable, basically suitable, basically unsuitable, and unsuitable.

[0087] Step 604: Calculate the development level of each sub-unit of the study area based on the development level determination method and the land development suitability of each sub-unit of the study area.

[0088] In one embodiment, the method for determining the degree of construction and development is as follows: ; In the formula, P represents the current level of development and construction in the region, and S represents the current area of ​​built-up land in the region. For suitable and basically suitable areas in the land development suitability assessment, Let be the area of ​​the union region of the two spaces.

[0089] Step 605: Calculate the construction land pressure state index for each sub-unit of the study area based on the method for determining the construction land pressure state index and the degree of construction and development of each sub-unit. The construction land pressure state index can also be the land construction and development carrying capacity pressure state index.

[0090] In one embodiment, the method for determining the pressure state index of construction land is as follows: ; In the formula, A11 is the construction land pressure state index, P is the current construction and development level, and T is the appropriate construction and development level threshold calculated based on the clustering analysis.

[0091] In another exemplary embodiment of this application, the farmland development pressure analysis includes a method for determining per capita farmland productivity, a method for determining the degree of farmland development and utilization, and a method for determining the farmland development pressure state index. In step 202, the farmland development pressure analysis is used to process the land resource data and population resource data of each sub-unit of the study area to obtain the farmland development pressure state index of each sub-unit of the study area, specifically including: Step 701: Based on the research data of the research area unit, determine the area of ​​reserve arable land, the quantity of arable land, and the arable land information corresponding to each arable land parcel in the land resource data of each research area sub-unit; the arable land information includes arable land area, arable land grade, and grain production equivalent.

[0092] Step 702: Based on the research data of the research area unit, determine the number of permanent residents in the population resource data of each research area sub-unit.

[0093] Step 703: Calculate the per capita arable land productivity of each sub-unit of the study area based on the method for determining per capita arable land productivity, the number of permanent residents and the amount of arable land in each sub-unit of the study area, and the arable land information corresponding to each plot of arable land.

[0094] In one embodiment, the method for determining the per capita arable land productivity is as follows: ; In the formula, A i Let D be the area of ​​the i-th cultivated land. i For the i-th cultivated land, L i Let N be the grain production equivalent corresponding to the i-th cultivated land grade, and N be the permanent resident population within the evaluation scope.

[0095] Step 704: Calculate the degree of farmland development and utilization for each sub-unit of the study area based on the method for determining the degree of farmland development and utilization, the area of ​​farmland reserve resources and the total area of ​​farmland for each sub-unit of the study area.

[0096] In one embodiment, the method for determining the degree of arable land development and utilization is as follows: ; In the formula, B represents the degree of farmland development and utilization, A represents the current farmland area of ​​the evaluation unit, and R represents the farmland reserve area of ​​the evaluation unit.

[0097] Step 705: Determine the per capita arable land productivity warning threshold based on the per capita arable land productivity of all the sub-units of the study area unit.

[0098] Step 706: Calculate the farmland development pressure state index for each sub-unit of the study area based on the farmland development pressure state index determination method, the per capita farmland productivity warning threshold, and the per capita farmland productivity and farmland development and utilization degree of each sub-unit of the study area.

[0099] In one embodiment, the method for determining the farmland development pressure state index is as follows: ; In the formula, A12 is the farmland development pressure index. V 阈 The per capita arable land productivity warning threshold is determined based on expert scoring. B The degree of development and utilization of arable land.

[0100] In another exemplary embodiment of this application, step 203, calculating the basic state of land resource carrying capacity of each sub-unit of the study area based on the construction land pressure state index and the cultivated land development pressure state index of each sub-unit of the study area, specifically includes: Using the basic evaluation formula for land resource carrying capacity, the classification results of the construction land pressure state index and the classification results of the cultivated land development pressure state index are determined based on the construction land pressure state index and the cultivated land development pressure state index. When either the construction land pressure state index grading result or the cultivated land development pressure state index grading result is overloaded, or both are critical, the basic state of land resource carrying capacity is determined to be overloaded; when either the construction land pressure state index grading result or the cultivated land development pressure state index grading result is critical and the other is capable of carrying, the basic state of land resource carrying capacity is determined to be critical; otherwise, the basic state of land resource carrying capacity is determined to be capable of carrying.

[0101] The formula for the basic evaluation level of land resource carrying capacity is as follows: ; ; In the formula, A11 is the pressure state index of construction land and A12 is the pressure state index of cultivated land development.

[0102] In another exemplary embodiment of this application, step 600, determining the comprehensive land resource and environmental carrying capacity status of each study area sub-unit based on its basic land resource carrying capacity status, water resource carrying capacity status, ecological condition carrying capacity status, and environmental condition carrying capacity status, specifically includes: Perform the following operations for each of the aforementioned study area sub-units: When the basic carrying capacity of land resources, the carrying capacity of water resources, the carrying capacity of ecological conditions, or the carrying capacity of environmental conditions of a target sub-unit are overloaded, the comprehensive carrying capacity of land resources and environment of the target sub-unit is determined to be overloaded; the target sub-unit is any sub-unit of the study area.

[0103] When only one of the following conditions of the target sub-unit is critical: land resource carrying capacity, water resource carrying capacity, ecological condition carrying capacity, and environmental condition carrying capacity, the comprehensive carrying capacity of the land resources and environment of the target sub-unit is determined to be carrying capacity.

[0104] When more than one of the following conditions of the target sub-unit is critical: land resource carrying capacity, water resource carrying capacity, ecological condition carrying capacity, and environmental condition carrying capacity, the comprehensive land resource and environmental carrying capacity of the target sub-unit is determined to be critical.

[0105] In another embodiment, based on the "short board effect" principle, an integrated analysis is performed on four results: the basic state of land resource carrying capacity, the water resource carrying capacity B1, the ecological condition carrying capacity B2, and the environmental condition carrying capacity B3. If any one indicator is overloaded, the comprehensive carrying capacity state Z of land resources and environment is determined to be overloaded. If there is one critical indicator and the other indicators are bearable, the comprehensive carrying capacity state Z of land resources and environment is determined to be bearable. Specifically, when the basic state of land resource carrying capacity is critical and the other indicators are bearable, it is determined to be a critical state. If there are two or three critical indicators and the other indicators are bearable, the comprehensive carrying capacity state Z of land resources and environment is determined to be a critical state.

[0106] In another exemplary embodiment of this application, a method for determining the comprehensive carrying capacity of land resources and the environment is used to construct a comprehensive land carrying capacity analysis system for a certain region from aspects such as construction land, arable land development, water resources, ecological conditions, and environmental resources. A certain region is taken as the study area unit, and each county within that region is taken as a sub-unit of the study area. This allows for the analysis and research of the comprehensive land carrying capacity of the entire province within that region. Figure 3 As shown: S1. Utilize the basic analysis system within the comprehensive land carrying capacity analysis system to conduct a fundamental evaluation of land resource development and construction in a specific region, thereby clarifying the basic status of land resource carrying capacity in each county and district of that region.

[0107] S11. Determine the construction land pressure index for each county / district in a given region: The factor types of the sub-units in the study area are permanent basic farmland, mining subsidence area, ecological protection red line, general agricultural area, seismically active zone, slope, and sudden geological disaster.

[0108] The quantitative grading of development restriction indicators uses an expert scoring method. Strong restriction factors are assigned values ​​of 0 and 1, while moderately strong restriction factors are assigned values ​​of 0-100 according to their restriction level. This yields the factor values ​​corresponding to each factor type in a specific city within a specific region. The grading table of development restriction indicators is shown in Table 1.

[0109] Table 1. Classification of Restrictive Indicators for Construction and Development

[0110] A city within a region is divided into multiple sub-regions. For each sub-region, the restriction coefficient method is used to calculate the comprehensive land development suitability score (E) for that city within that region. Based on the suitability evaluation scores, cluster analysis is used to classify the suitability for development into suitable, basically suitable, basically unsuitable, and unsuitable. The most suitable area for a city within a region is 10,322.38 hectares, the basically suitable area is 228,023.78 hectares, the unsuitable area is 293,117.87 hectares, and the extremely unsuitable area is 501,464.24 hectares.

[0111] The development level of a county in a city within a certain region: P=0.19, and the land pressure index of a county in a city within a certain region: A11=-0.72.

[0112] S12. Determine the farmland development pressure index for each county / district within a specific region: The per capita arable land productivity of a certain county in a certain city of a certain region is 37592.85 kg / person; the degree of arable land development and utilization of a certain county in a certain city of a certain region is B=0.95; the arable land development pressure index A12 of a certain county in a certain city of a certain region is 88.44.

[0113] S13. The basic state of land resource carrying capacity in a certain county of a certain city in a certain region is a carrying capacity state.

[0114] S2. Use water resource carrying capacity analysis to clarify the water resource carrying capacity of each county in a certain region.

[0115] The evaluation indicators and weights for water resources carrying capacity are shown in Table 2. Table 2. Evaluation Indicators and Weights for Water Resources Carrying Capacity in a Certain Region

[0116] The per capita usable water resources in a certain county within a certain city of a certain region are 106.29 m³. 3 / person; per capita comprehensive water consumption in a certain county of a certain city in a certain region = 614.27m 3 / person; the matching index of agricultural water use and cultivated land in a certain county of a certain city in a certain region is 1.85; the matching index of domestic and industrial water use and urban industrial and mining water use in a certain county of a certain city in a certain region is 0.59; the standardized treatment threshold and ideal value of water resource indicators in a certain city of a certain region are shown in Table 3.

[0117] Table 3. Standardized treatment thresholds and ideal values ​​of water resource indicators for a specific city in a certain region.

[0118] The standardized values ​​of various indicators for a county within a city in a certain region yield the following: per capita available water resources carrying capacity index = 0.00; per capita comprehensive water consumption carrying capacity index = 2.42; agricultural water use and arable land matching index carrying capacity index = 2.43; and domestic and industrial water use and urban and mining water use matching index carrying capacity index = -0.46. Therefore, the water resources carrying capacity state B1 of the county within a city in a certain region is in a critical overload state.

[0119] S3. Using ecological carrying capacity analysis, clarify the ecological carrying capacity of each county / district in a given region: Based on the expert scoring method, the land degradation index has a weight of 0.6, and the ecological degradation index has a weight of 0.4. The land degradation index of a county in a city within a certain region is 0.4716; the ecological degradation index of the same county is 0.7798. After normalization of the evaluation indicators, the land degradation index is normalized to 1.0000, the ecological degradation index to 0.1756, and the ecological environment status index (EI) is 0.6702. The ecological carrying capacity (B2) of the county in the same city within a certain region is considered overloaded.

[0120] S4. Using environmental resource carrying capacity analysis, clarify the environmental carrying capacity of each county / district in a given region: Atmospheric environmental capacity of a county within a city in a certain region: SO2 = 227,300 t / a, NO2 = 151,500 t / a, PM10 = 265,100 t / a, CO = 15,148,300 t / a. The comprehensive atmospheric environmental capacity index B31 of the county within a city in a certain region is 0.27. Water environmental capacity of a county within a city in a certain region based on water environmental functional zoning: Class I water environmental capacity = 11 million m³. 3 Class II water environment capacity = 0.19 billion m³ 3 Class III water environmental capacity = 0.29 billion m³ 3 Class IV water environmental capacity = 0.18 billion m³ 3 Class V water environment capacity = 0.24 billion m³ 3 Total water environment capacity = 101 million m³ 3 Chemical oxygen demand (COD), five-day biochemical oxygen demand (BOD5), ammonia nitrogen (NH3-N), total phosphorus, and total nitrogen were used as indicators for calculating the comprehensive water environmental capacity index. The data were normalized, and the weights of the five indicators were determined to be 0.30, 0.22, 0.18, 0.15, and 0.15, respectively, using expert scoring and the analytic hierarchy process. The water environmental quality index B32 is the weighted score of the five indicators. The environmental carrying capacity of a county in a city within a certain region is B3=0.27, indicating a carrying capacity.

[0121] S5. Comprehensive evaluation integrates four results: basic land resource carrying capacity, water resource carrying capacity, ecological condition carrying capacity, and environmental condition carrying capacity of a region, to determine the comprehensive carrying capacity of land resources and environment in each county and district of the region. The comprehensive carrying capacity Z of land resources and environment in a county of a city within a region is considered to be in an overloaded state.

[0122] This application also provides an application scenario in which the above-mentioned method for determining the comprehensive carrying capacity of land resources and the environment is applied. Specifically, the method for determining the comprehensive carrying capacity of land resources and the environment provided in this embodiment can be applied in the scenario of land (spatial) planning.

[0123] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 4 As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs in the non-volatile storage media to run. The database stores the research area units and corresponding research data. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When executed by the processor, the computer program implements a method for determining the comprehensive carrying capacity of land resources and the environment.

[0124] Those skilled in the art will understand that Figure 4 The structures shown are merely block diagrams of some structures related to the present application and do not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than shown in the figures, or combine certain components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0125] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0126] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0127] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0128] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0129] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0130] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0131] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for determining the comprehensive carrying capacity of land resources and environment, characterized in that, Methods for determining the comprehensive carrying capacity of land resources and the environment include: The study area units are defined and divided into multiple study area sub-units; each study area unit includes the study area and the corresponding research data; the research data includes land resource data, water resource data, ecological condition data, environmental resource data, and population resource data. The land resource data and population resource data of each sub-unit of the study area are processed using the basic analysis system in the comprehensive land carrying capacity analysis system to obtain the basic state of land resource carrying capacity of each sub-unit of the study area. The comprehensive land carrying capacity analysis system also includes a correction analysis system, which includes water resource carrying capacity analysis, ecological condition carrying capacity analysis, and environmental resource carrying capacity analysis. The water resource carrying capacity analysis is used to process the research data of the study area unit and the water resource data, land resource data and population resource data of each sub-unit of the study area to obtain the water resource carrying capacity of each sub-unit of the study area. The ecological condition carrying capacity analysis is used to process the ecological condition data of each sub-unit of the study area to obtain the ecological condition carrying capacity of each sub-unit of the study area. The environmental resource carrying capacity analysis is used to process the environmental resource data and water resource data of each sub-unit of the study area to obtain the environmental carrying capacity of each sub-unit of the study area. Based on the basic status of land resource carrying capacity, water resource carrying capacity, ecological condition carrying capacity, and environmental condition carrying capacity of each sub-unit of the study area, the comprehensive carrying capacity of land resources and environment of each sub-unit of the study area is determined.

2. The method for determining the comprehensive carrying capacity of land resources and environment according to claim 1, characterized in that, The water resource carrying capacity analysis includes methods for determining the matching index between domestic and industrial water use and urban and industrial activities, methods for determining per capita available water resources, methods for determining per capita comprehensive water consumption, methods for determining the matching index between agricultural water use and arable land, methods for determining indicator status levels, and methods for determining water resource carrying capacity. The water resource carrying capacity analysis is used to process the research data of the study area unit and the water resource data, land resource data, and population resource data of each sub-unit of the study area to obtain the water resource carrying capacity of each sub-unit of the study area, specifically including: Based on the research data of the study area units, determine the water resource quantity, comprehensive water consumption, domestic and industrial water consumption, and agricultural water consumption in the water resource data of each study area sub-unit; Based on the research data of the study area units, determine the current arable land and the scale of urban and industrial land use in the land resource data of each study area sub-unit; Based on the research data of the study area units, determine the total population in the population resource data of each study area sub-unit; Based on the method for determining per capita available water resources, and the total population and water resources of each study area sub-unit, the per capita available water resources of each study area sub-unit are calculated. Based on the method for determining per capita comprehensive water consumption, and the total population and comprehensive water consumption of each study area sub-unit, calculate the per capita comprehensive water consumption of each study area sub-unit; Based on the method for determining the matching index between agricultural water use and cultivated land, the current cultivated land and agricultural water use of the study area unit, and the current cultivated land and agricultural water use of the study area sub-unit, the agricultural water use and cultivated land matching index of each study area sub-unit is calculated. Based on the method for determining the matching index between domestic and industrial water use and urban and industrial land use, the scale of urban and industrial land use in the study area unit, and the domestic and industrial water use and the scale of urban and industrial land use in each sub-unit of the study area, the matching index between domestic and industrial water use and urban and industrial land use in each sub-unit of the study area is calculated. Based on the method for determining the index status level and the per capita available water resources of each sub-unit of the study area, calculate the per capita available water resources carrying capacity index of each sub-unit of the study area. Based on the method for determining the indicator status level and the per capita comprehensive water consumption of each sub-unit of the study area, calculate the per capita comprehensive water consumption carrying capacity index of each sub-unit of the study area; Based on the method for determining the indicator status level and the agricultural water use and arable land matching index of each sub-unit of the study area, calculate the carrying capacity index of the agricultural water use and arable land matching index of each sub-unit of the study area. Based on the method for determining the indicator status level and the matching index of domestic and industrial water use with urban and industrial activities in each sub-unit of the study area, calculate the carrying capacity index of the matching index of domestic and industrial water use with urban and industrial activities in each sub-unit of the study area. Based on the method for determining the water resource carrying capacity, and the carrying capacity index of matching indicators for domestic and industrial water use with urban and industrial activities, the carrying capacity index of matching indicators for agricultural water use with arable land, the carrying capacity index of per capita available water resources, and the carrying capacity index of per capita comprehensive water consumption for each sub-unit of the study area, the water resource carrying capacity of each sub-unit of the study area is calculated.

3. The method for determining the comprehensive carrying capacity of land resources and environment according to claim 1, characterized in that, The ecological carrying capacity analysis includes methods for determining land degradation index, ecological degradation index, and ecological environment status index. The ecological carrying capacity analysis is used to process the ecological condition data of each sub-unit of the study area to obtain the ecological carrying capacity of each sub-unit, specifically including: Based on the research data of the study area units, determine the total area, land degradation area, degraded ecosystem area, and ecological land area in the ecological condition data of each study area sub-unit; Based on the land degradation index determination method and the land degradation area and total area of ​​each study area sub-unit, the land degradation index of each study area sub-unit is calculated; Based on the method for determining the ecological degradation index, and the area of ​​degraded ecosystems and ecological land in each sub-unit of the study area, the ecological degradation index of each sub-unit of the study area is calculated. Based on the method for determining the ecological environment status index, and the land degradation index and ecological degradation index of each sub-unit of the study area, the ecological environment status index of each sub-unit of the study area is calculated; The ecological environment status indices of all the sub-units of the study area in the study unit are sorted to obtain the ecological environment status index sequence; The ecological carrying capacity of each study area sub-unit is calculated based on its position in the ecological environment status index sequence.

4. The method for determining the comprehensive carrying capacity of land resources and environment according to claim 1, characterized in that, The environmental resource carrying capacity analysis includes methods for calculating total pollutant emission limits for functional zones, methods for determining regional allowable emissions, and methods for determining water environmental capacity. The environmental resource carrying capacity analysis is used to process the environmental resource data and water resource data of each sub-unit of the study area to obtain the environmental carrying capacity of each sub-unit, specifically including: Based on the research data of the study area units, the geographical regional total quantity control coefficient, multiple functional zones, and corresponding functional information for each functional zone in the environmental resource data of each study area sub-unit are determined. The functional information includes the area, as well as the regional local concentration values ​​and annual average concentration limits of air pollutants. The air pollutants include SO2, NO2, and PM2.

5. 10 And CO; Based on the research data of the study area units, the total water resources in the water resources data of each study area sub-unit are determined, as well as the water quality information corresponding to the water quality indicators; the water quality information includes environmental quality standard values ​​and current values; the water quality indicators include dissolved oxygen, chemical oxygen demand, five-day biochemical oxygen demand, ammonia nitrogen, total phosphorus, and total nitrogen. Based on the calculation method for the total pollutant emission limits of the functional areas, the geographical regional total emission control coefficient of each study area subunit, and the functional information corresponding to each functional area, the total emission limit for each pollutant of each functional area of ​​each study area subunit is calculated. Based on the method for determining the permissible emissions for the region and the total emission limits for each pollutant in all functional areas of each study area sub-unit, calculate the regional permissible emissions for each air pollutant in each study area sub-unit. The comprehensive atmospheric environmental capacity index for each study area sub-unit is determined based on the regionally permissible emissions of all air pollutants in each study area sub-unit. Based on the water environment capacity determination method, and the total water resources of each study area sub-unit and the water quality information corresponding to each water quality index, the water environment capacity of each water quality index of each study area sub-unit is calculated. Based on the water environment capacity of all water quality indicators of each study area sub-unit, determine the water environment quality index of each study area sub-unit; The environmental resource carrying capacity of each study area sub-unit is determined based on the comprehensive atmospheric environmental capacity index and water environmental quality index of each study area sub-unit. The environmental resource carrying capacity of all sub-units of the study area in the study area unit is sorted to obtain an environmental resource carrying capacity sequence. The environmental carrying capacity of each sub-unit of the study area is calculated based on its position in the environmental carrying capacity sequence.

5. The method for determining the comprehensive carrying capacity of land resources and environment according to claim 1, characterized in that, The basic analysis system includes construction land bearing capacity analysis and arable land development bearing capacity analysis. The basic analysis system within the comprehensive land carrying capacity analysis system processes the land resource data and population resource data of each sub-unit of the study area to obtain the basic state of land resource carrying capacity for each sub-unit of the study area, specifically including: The land resource data of each sub-unit of the study area are processed using the construction land pressure analysis to obtain the construction land pressure state index of each sub-unit of the study area. The land resource data and population resource data of each sub-unit of the study area are processed using the farmland development pressure analysis to obtain the farmland development pressure state index of each sub-unit of the study area. Based on the construction land pressure state index and cultivated land development pressure state index of each sub-unit of the study area, the basic state of land resource carrying capacity of each sub-unit of the study area is calculated.

6. The method for determining the comprehensive carrying capacity of land resources and environment according to claim 5, characterized in that, The construction land pressure analysis includes quantitative grading of development restriction indicators, restriction coefficient method, method for determining the degree of construction and development, and method for determining the construction land pressure state index; the construction land pressure analysis is used to process the land resource data of each sub-unit of the study area to obtain the construction land pressure state index of each sub-unit of the study area, specifically including: Based on the development-restricting factors and the land resource data of each study area sub-unit, the factor type of each study area sub-unit is determined; the development-restricting factors include strong restrictive factors and relatively strong restrictive factors; the strong restrictive factors include permanent basic farmland, mining subsidence areas, and ecological protection red lines; the relatively strong restrictive factors include agricultural areas, seismically active zones, slope, and sudden geological disasters; Based on the quantitative classification of the development constraint indicators and the factor type of each research area sub-unit, determine the factor value corresponding to each factor type of each research area sub-unit; Based on the constraint coefficient method and the factor values ​​corresponding to each factor type of each study area sub-unit, the land development suitability of each study area sub-unit is calculated. Based on the method for determining the degree of construction and development and the suitability of land construction and development for each sub-unit of the study area, the degree of construction and development for each sub-unit of the study area is calculated; Based on the method for determining the construction land pressure state index and the degree of construction and development of each sub-unit of the study area, the construction land pressure state index of each sub-unit of the study area is calculated.

7. The method for determining the comprehensive carrying capacity of land resources and environment according to claim 5, characterized in that, The farmland development pressure analysis includes methods for determining per capita farmland productivity, farmland development and utilization levels, and farmland development pressure state index. The farmland development pressure analysis is used to process land resource data and population resource data for each sub-unit of the study area to obtain the farmland development pressure state index for each sub-unit, specifically including: Based on the research data of the study area units, determine the area of ​​reserve arable land, the quantity of arable land, and the arable land information corresponding to each arable land parcel in the land resource data of each study area subunit; the arable land information includes arable land area, arable land grade, and grain production equivalent. Based on the research data of the study area units, determine the number of permanent residents in the population resource data of each study area sub-unit; Based on the method for determining per capita arable land productivity, the number of permanent residents and the amount of arable land in each sub-unit of the study area, and the arable land information corresponding to each plot of arable land, the per capita arable land productivity of each sub-unit of the study area is calculated. Based on the method for determining the degree of arable land development and utilization, and the area of ​​arable land reserve resources and the total area of ​​arable land in each sub-unit of the study area, the degree of arable land development and utilization in each sub-unit of the study area is calculated. The per capita arable land productivity warning threshold is determined based on the per capita arable land productivity of all the sub-units of the study area unit. Based on the method for determining the farmland development pressure state index, the warning threshold for per capita farmland productivity, and the per capita farmland productivity and farmland development and utilization degree of each sub-unit of the study area, the farmland development pressure state index of each sub-unit of the study area is calculated.

8. The method for determining the comprehensive carrying capacity of land resources and environment according to claim 1, characterized in that, Based on the basic land resource carrying capacity, water resource carrying capacity, ecological condition carrying capacity, and environmental condition carrying capacity of each sub-unit of the study area, the comprehensive land resource and environmental carrying capacity of each sub-unit of the study area is determined, specifically including: Perform the following operations for each of the aforementioned study area sub-units: When the basic carrying capacity of land resources, the carrying capacity of water resources, the carrying capacity of ecological conditions, or the carrying capacity of environmental conditions of a target sub-unit are overloaded, the comprehensive carrying capacity of land resources and environment of the target sub-unit is determined to be overloaded; the target sub-unit is any sub-unit of the study area; When only one of the basic state of land resource carrying capacity, water resource carrying capacity, ecological condition carrying capacity and environmental condition carrying capacity of the target sub-unit is critical, the comprehensive carrying capacity of land resources and environment of the target sub-unit is determined to be carrying capacity. When more than one of the following conditions of the target sub-unit is critical: land resource carrying capacity, water resource carrying capacity, ecological condition carrying capacity, and environmental condition carrying capacity, the comprehensive land resource and environmental carrying capacity of the target sub-unit is determined to be critical.

9. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes the computer program to implement the method for determining the comprehensive carrying capacity of land resources and environment as described in any one of claims 1-8.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the method for determining the comprehensive carrying capacity of land resources and environment as described in any one of claims 1-8.

Images