A data processing system and method for assessing regional ecological compensation standards

Abstract

This application discloses a data processing system and method for assessing regional ecological compensation standards. The system includes a data acquisition module that acquires multi-source spatiotemporal data of a target area; a spatial analysis module that performs spatial functional zoning and grid processing on the multi-source spatiotemporal data to obtain functional zone distribution data of the target area; a value quantification module that performs regional adaptive correction of the ecosystem service value benchmark based on economic parameters in the multi-source spatiotemporal data, and calculates the quantified ecological value per unit area for different functional zones by combining the functional zone distribution data; and a compensation decision module that generates spatially differentiated ecological compensation standards based on the functional zone distribution data and its corresponding quantified ecological value per unit area. This invention significantly improves the accuracy of spatial heterogeneity analysis of ecosystem service value, effectively reveals its spatiotemporal evolution patterns, and overcomes the ambiguity of large-scale assessments.

Description

Technical Field

[0001] This invention relates to the field of ecological and environmental technology, and in particular to a data processing system and method for assessing regional ecological compensation standards. Background Technology

[0002] With the acceleration of urbanization, coordinating the relationship between economic development and ecological protection has become an important issue. Ecosystem service value assessment is a key scientific basis for formulating ecological compensation standards. Currently, the "equivalent factor method" is widely used for assessment. While this method is simple, it has significant drawbacks: First, the assessment framework is universally applicable but lacks regional adaptability, especially in rapidly urbanizing areas with complex land use structures and significant differences in economic levels; second, it is usually based on static land use types for value calculation, lacking a detailed characterization of regional spatial heterogeneity and its evolution over time; third, the assessment results are not effectively coupled with the local economic development level, leading to compensation standards that may be out of sync with the region's economic carrying capacity and difficult to implement. Summary of the Invention

[0003] The technical problem to be solved by this invention is to overcome the shortcomings of existing ecosystem service value assessment methods in rapidly urbanized areas, such as insufficient regional adaptability, imprecise spatial heterogeneity characterization, and lack of dynamic linkage with economic development levels, and to provide a data processing system for assessing regional ecological compensation standards.

[0004] In a first aspect, embodiments of the present invention provide a data processing system for evaluating regional ecological compensation standards, including a data acquisition module, a spatial analysis module, a value quantification module, and a compensation decision module; The data acquisition module is used to acquire multi-source spatiotemporal data of the target area; wherein, the multi-source spatiotemporal data includes multi-period remote sensing image data, land use classification data, and regional agricultural production data; the regional agricultural production data includes grain crop yield and price data; The spatial analysis module is communicatively connected to the data acquisition module and is used to perform spatial functional partitioning and grid processing on the multi-source spatiotemporal data to obtain functional area distribution data of the target area, wherein the functional area distribution data has spatial heterogeneity characteristics. The value quantification module is communicatively connected to the data acquisition module and the spatial analysis module. It is used to make regional adaptive corrections to the ecosystem service value benchmark based on the economic parameters in the multi-source spatiotemporal data, and to calculate the ecological value quantification results per unit area of ​​different functional zones by combining the functional zone distribution data. The compensation decision module is communicatively connected to the spatial analysis module and the value quantification module, and is used to generate spatially differentiated ecological compensation standards based on the functional area distribution data and the corresponding ecological value quantification results per unit area.

[0005] In a specific embodiment of the present invention, the spatial analysis module is specifically used to divide the target area into at least four functional zones, including ecological space, ecological production space, production-ecological space and living-production space, based on the dominant function of land use type.

[0006] In a specific embodiment of the present invention, the spatial analysis module specifically classifies areas dominated by forests and grasslands as ecological production spaces, areas dominated by wetlands as ecological spaces, areas dominated by farmland as production-ecological spaces, and areas dominated by towns and other construction land as living-production spaces.

[0007] In a specific embodiment of the present invention, the spatial analysis module is specifically used to divide the target area into square regular grid cells with a size between 50 meters and 200 meters on a geographic information system platform, and to perform spatial interpolation on the center point data of the grid cells using the Kriging interpolation method.

[0008] In a specific embodiment of the present invention, the value quantification module is specifically used to calculate the standard ecological value equivalent factor per unit area based on regional agricultural production data, calculate the economic development level correction coefficient based on regional macroeconomic statistics, and use the economic development level correction coefficient to correct the standard ecological value equivalent factor per unit area to obtain the regionally adaptively corrected ecological value equivalent factor per unit area.

[0009] In a specific embodiment of the present invention, the value quantification module is specifically used to calculate the ecological value quantification results per unit area of ​​different functional zones based on a preset ecosystem service value equivalent table for various land use types.

[0010] In a specific embodiment of the present invention, the ecosystem service value equivalent table includes the value equivalents of multiple service functions under the categories of supply services, regulation services, support services, and cultural services for farmland, forest, grassland, wetland, urban and unused land ecosystems.

[0011] Secondly, embodiments of the present invention provide a data processing method for evaluating regional ecological compensation standards, including: The data acquisition module acquires multi-source spatiotemporal data of the target area; wherein, the multi-source spatiotemporal data includes multi-period remote sensing image data, land use classification data, and regional agricultural production data; the regional agricultural production data includes grain crop yield and price data; The spatial analysis module is communicatively connected to the data acquisition module. It performs spatial functional zoning and grid processing on the multi-source spatiotemporal data to obtain functional area distribution data of the target area. The functional area distribution data has spatial heterogeneity characteristics. The value quantification module is communicatively connected to the data acquisition module and the spatial analysis module. Based on the economic parameters in the multi-source spatiotemporal data, it performs regional adaptive correction of the ecosystem service value benchmark. Combined with the functional zone distribution data, it calculates the ecological value quantification results per unit area for different functional zones. The compensation decision module is communicatively connected to the spatial analysis module and the value quantification module. Based on the functional area distribution data and the corresponding ecological value quantification results per unit area, it generates spatially differentiated ecological compensation standards.

[0012] In a specific embodiment of the present invention, the spatial analysis module divides the target area into at least four functional zones, including ecological space, ecological production space, production-ecological space and living-production space, based on the dominant function of land use type.

[0013] In a specific embodiment of the present invention, the spatial analysis module classifies areas dominated by forests and grasslands as ecological production spaces, areas dominated by wetlands as ecological spaces, areas dominated by farmland as production-ecological spaces, and areas dominated by towns and other construction land as living-production spaces.

[0014] In a specific embodiment of the present invention, the spatial analysis module divides the target area into square regular grid cells with a size between 50 meters and 200 meters on a geographic information system platform, and uses Kriging interpolation to spatially interpolate the center point data of the grid cells.

[0015] In a specific embodiment of the present invention, the value quantification module calculates the standard ecological value equivalent factor per unit area based on regional agricultural production data, calculates the economic development level correction coefficient based on regional macroeconomic statistics, and uses the economic development level correction coefficient to correct the standard ecological value equivalent factor per unit area to obtain the regionally adaptively corrected ecological value equivalent factor per unit area.

[0016] In a specific embodiment of the present invention, the value quantification module calculates the ecological value quantification results per unit area of ​​different functional zones based on a preset ecosystem service value equivalent table for various land use types.

[0017] In a specific embodiment of the present invention, the ecosystem service value equivalent table includes the value equivalents of multiple service functions under the categories of supply services, regulation services, support services, and cultural services for farmland, forest, grassland, wetland, urban and unused land ecosystems.

[0018] Thirdly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the data processing method for assessing regional ecological compensation standards.

[0019] Fourthly, embodiments of the present invention provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the data processing method for regional ecological compensation standard assessment as described above.

[0020] Compared with the prior art, the present invention has significant advantages: This study creatively integrates the "three-life space" functional zoning theory, high-precision GIS gridded spatial analysis technology, and regional economic dynamic correction factors into a multi-dimensional technical system, constructing a novel ecological value assessment technology system specifically for rapidly urbanizing areas. By employing regular grid division of specific sizes (e.g., 100m × 100m) and spatial interpolation techniques, the accuracy of spatial heterogeneity analysis of ecosystem service value is significantly improved, effectively revealing its spatiotemporal evolution patterns and overcoming the ambiguity of large-scale assessments. The introduction of a correction coefficient based on GDP per unit area enables the assessment results to dynamically reflect the regional economic development level, achieving technical coupling between ecological value assessment and regional economic carrying capacity, making the generated compensation standard recommendations more realistic and feasible. The final output is differentiated ecological value per unit area based on different functional zones and spatial locations, providing an intuitive and quantitative decision support tool. Attached Figure Description

[0021] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 This is a schematic diagram of the data processing system for evaluating regional ecological compensation standards according to the present invention. Figure 2 This is a flowchart illustrating the data processing method for evaluating regional ecological compensation standards according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the computer hardware of the present invention. Detailed Implementation

[0022] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0023] It should also be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0024] It should also be understood that, in various embodiments of the present invention, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0025] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0026] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0027] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0028] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0029] To make the above-mentioned features and effects of the present invention clearer and easier to understand, specific embodiments are described below in conjunction with the accompanying drawings. This specification discloses one or more embodiments incorporating the features of the present invention. The disclosed embodiments are merely illustrative. The scope of protection of the present invention is not limited to the disclosed embodiments, but is defined by the appended claims.

[0030] The following are system embodiments corresponding to the above method embodiments. This embodiment can be implemented in conjunction with the above embodiments. The relevant technical details mentioned in the above embodiments are still valid in this embodiment, and will not be repeated here to reduce repetition. Accordingly, the relevant technical details mentioned in this embodiment can also be applied to the above embodiments.

[0031] Since the late 20th century, rapid development of human society and economy, coupled with the overexploitation of natural resources, has damaged the self-repairing capacity of ecosystems, leading to a continuous degradation of global ecosystem service functions. The sustainable development of ecosystems and ecological security have received increasing attention. Internationally, inventions regarding ESV assessment began earlier, and Chinese scholars have also constructed an ESV assessment system suitable for China. These inventions have assessed the service value of ecosystems at different regions, scales, and types, and the assessment results have been widely applied in various fields such as ecological environmental protection, ecological function zoning, optimal land use allocation, and ecological compensation decision-making.

[0032] However, despite significant progress in ESV (Ecological Value Substance) invention, many challenges remain in supporting ecological compensation mechanisms: Inadequate adaptability exists across different regions; for example, the ESV assessment using the equivalent factor method weakens the regional value of various ecosystems, especially in areas with significant urbanization and economic and technological development. Furthermore, ESV assessment is relatively weak in addressing spatiotemporal heterogeneity. Inventions related to long-term ecological compensation mechanisms are also limited; existing research focuses primarily on the static calculation of compensation standards, while insufficient exploration of dynamic adjustment mechanisms for compensation funds is lacking, making it difficult to support the sustainable operation of the ecological compensation system.

[0033] In this embodiment, Landsat remote sensing images of the study area are used as the data source. After a series of data preprocessing steps (atmospheric correction, orthorectification, fusion, and blister extraction, etc.), the obtained remote sensing images are used for interpretation. Land use type remote sensing information extraction is mainly performed using interactive visual interpretation methods, combined with field surveys. The main working platforms are ENVI 5.1 and ArcMap 10.7, with land use type recognition rates exceeding 90%. Data on grain yield, planted area, and GDP of the study area are also obtained.

[0034] As a multifunctional complex system, land resources carry three major functions: production, living, and ecology. These functions are interconnected and organically unified. However, influenced by different land use patterns, development intensities, and differences in user groups, land functions often exhibit a primary and secondary differentiation, meaning that land has a dominant function and other functions.

[0035] The land cover data used in this application embodiment includes six major ecosystem types: farmland, forest, grassland, wetland, urban areas, and others. Based on the primary and secondary relationships of ecosystem functions, these six ecosystem types are further subdivided into four functional types: ecological space, ecological production space, production-ecological space, and living-production space.

[0036] Table 1. Three-Dimensional Space Classification System In this embodiment of the application, the dynamic degree of the change of the three-life space pattern is introduced, and the dynamic index model of the three-life space is used to analyze the order-of-magnitude speed change of the three-life space types in the study area. The formula of the dynamic index model of the three-life space (1) is as follows:

[0037] In the formula: K is the dynamic degree of a certain three-life space type within the invention period; Ua and Ub represent the area (km2) of the three-life space type at the beginning and end of the invention period, respectively; T is the invention period.

[0038] In this embodiment, firstly, the equivalent table is adaptively adjusted according to the land use type of the study area; secondly, a secondary correction is made based on the ratio of the grain output of the study area in that year to the grain output of the entire region, and finally, an equivalent table of ecosystem service value is constructed. Using data on the grain crop yield, sown area, and average grain price of the invention year, the equivalent factor of ecosystem service value per unit area of ​​the study area is calculated to be 4146.75 yuan / hm² using formula (2); secondly, considering the impact of regional economic development level on the assessment of ecosystem service value, a regional GDP difference correction coefficient is introduced. The ratio of the GDP per unit area of ​​the study area to the corresponding indicator of the entire region is used as the correction coefficient to adjust the equivalent factor for regional differences, and the final corrected equivalent factor of ecosystem service value is determined to be 392,700 yuan / hm².

[0039] Based on the above correction results, the value of ecosystem services in the study area can be calculated using formulas (3)-(6).

[0040]

[0041]

[0042]

[0043]

[0044]

[0045] In the formula, ESV represents the value of ecosystem services; Let represent the area (hm2) of the i-th land use type; This represents the ecosystem service value coefficient for the i-th land use type; This represents the value of the services provided by the ecosystem in item f; This represents the ecosystem service value coefficient of the i-th land function type; The value equivalent of ecosystem services for the fth type of a certain land use; Here, n is the standard equivalent factor, and n is the number of food crop varieties in the agricultural resource area. Let be the sown area of ​​the i-th type of grain crop. Let be the unit price of the i-th type of grain crop. Let M be the yield per unit area of ​​the i-th type of grain crop, and M be the sum of the planting areas of all types of grain crops in the agricultural resource area.

[0046]

[0047] Table 2. Equivalent Value of Ecosystem Services per Unit Area Based on the unit grid method, this invention obtained the spatio-temporal evolution characteristics of the ecosystem service value (ESV) of the production-living-ecological space (PLES) in the research area. With the support of the ArcGIS 10.8 platform, a regular grid evaluation system of 100m×100m was established to reduce the noise in the original data while ensuring data accuracy. The ecological system types in the research area were resampled in a grid manner, and a total of 23,221 standardized evaluation units were generated. The Kriging spatial interpolation method was used to interpolate the data at the center points of each unit to ensure the accuracy of spatial analysis.

[0048] At the same time, to analyze the changes in different years, combined with the actual situation of the research area, the results of the research years were uniformly divided into five levels: I, II, III, IV, and V (Table 3), which are respectively represented as low-value areas (0 ≤ ESV ≤ 100 million yuan), relatively low-value areas (100 million yuan < ESV ≤ 300 million yuan), medium-value areas (300 million yuan < ESV ≤ 600 million yuan), relatively high-value areas (600 million yuan < ESV ≤ 1.2 billion yuan), and high-value areas (1.2 billion yuan < ESV ≤ 3 billion yuan). Through the above method, the ESV spatial distribution maps of four typical periods in the research years were obtained. This result not only accurately clarified the spatial heterogeneity characteristics of the ecosystem service value in the research area but also effectively revealed its spatio-temporal evolution law.

[0049]

[0050] Table 3 ESV level division structure table In this invention, the ESV of the ecological space in the research area generally shows a downward trend, but there is a rebound phenomenon during some research years. The dynamic degree changes from a decrease of 3.82% to an increase of 0.81%. This is due to the increase in the distribution of wetland ecological space in the research area. The ecosystem service value (ESV) in the research area shows obvious spatial differentiation characteristics. The ESV level structure is mainly dominated by the first-level and second-level areas with low ESV values. Among them, the first-level area expands significantly, and the second-level area shrinks by 3, while the high-value fifth-level area continues to decrease. This spatial evolution trend of the expansion of low-value areas and the shrinkage of high-value areas indicates that the overall ESV in the research area shows a downward trend, reflecting the significant impact of the rapid urbanization process on the regional ecosystem service function.

[0051] As a typical rapidly urbanizing area, the research area faces the problems of the imbalance of the three types of spaces and the overall decline of ESV. Therefore, in the process of constructing the ecological compensation standard, the ecological compensation mechanism should be improved based on the principles of "classified compensation, adapting to local conditions, and dynamic adjustment". The actual compensation price is adjusted spatiotemporally by combining the spatial differentiation characteristics of ESV and comprehensively considering the dynamic development of the regional economy.

[0052]

[0053] Table 4. ESV per unit area of ​​the three-dimensional space in the study area (100 million yuan / km²) 2 ) Regarding innovation in ecological compensation mechanisms, based on changes in the use of ecological, environmental, and ecological spaces and ESV losses, ecological compensation mechanisms tailored to local conditions can be constructed by adding ecological compensation taxes for ecological spaces and production ecological spaces occupied by industrial and urban land development activities. This can provide a model for balancing urbanization and ecological security in similar regions. Simultaneously, based on ecological value reduction trends and benefit analysis, the types of ecological, environmental, and ecological spaces requiring priority compensation should be identified. Combining ESV assessment results with regional economic carrying capacity, a dynamic correlation model of "ecological loss amount - compensation intensity" should be established, deeply integrating ESV assessment results with regional economic development levels to ensure that compensation standards effectively reflect the actual costs and value losses of ecological protection. Furthermore, through diversified means such as market-based ecological transactions, a market-based horizontal ecological compensation mechanism should be vigorously cultivated and developed to more effectively mobilize the enthusiasm of social capital to participate in ecological protection and restoration, promote the optimal allocation of ecological resources, and drive the coordinated progress of ecological protection and economic development.

[0054] Existing technologies often employ the equivalent factor method to directly assess ecosystem service value (ESV) and formulate ecological compensation standards based on land use types. However, this approach has significant limitations. In contrast, the GDP correction coefficient method proposed in this invention enables the constructed ecological compensation standard system to dynamically adjust with the regional economic development level, effectively achieving differentiated accounting. Furthermore, by dividing ecological space into four different performance types and implementing targeted compensation mechanisms, the adaptability of the compensation scheme to the actual regional development can be further improved. This innovative approach directly addresses the universality bias of the traditional equivalent factor method in quantifying ecosystem service value, and the core problem that it struggles to respond to regional heterogeneous needs when formulating compensation standards based on conventional land use types.

[0055] This invention integrates the functional zoning of "three-life spaces" (ecological, ecological, and environmental protection), economic dynamics correction factors, and a refined grid method to construct a multi-dimensional ESV (Ecological, Ecological, and Environmental Protection) evaluation system, which helps provide a scientific basis for ecological protection and high-quality development in rapidly urbanized areas. First, the invention reorganizes and classifies land function types from the perspective of three-life spaces, dividing the study area into four ecological functional zones: ES-B (ecological space), EPS-G (ecological production space), PES-O (production-ecological space), and LPS-R (living space), highlighting the relationship between ESV and the distribution of the three-life spaces. Second, incorporating regional economic development levels into the ESV evaluation model and adjusting the ESV coefficient based on regional GDP per unit area helps reflect regional differences in ESV, making the evaluation results more consistent with the actual situation of the study area. This provides scientific data support for the formulation of regional sustainable development strategies (areas with significant economic development advantages) and the optimization of resource allocation. Third, the invention uses a 0.1 km × 0.1 km grid method, breaking through the limitations of traditional large-scale grid unit analysis, and exhibits greater advantages in revealing the mosaic patterns, fitting degree, and stability of land types.

[0056] like Figure 1 As shown, this embodiment of the invention provides a data processing system for evaluating regional ecological compensation standards, including a data acquisition module, a spatial analysis module, a value quantification module, and a compensation decision module; The data acquisition module is used to acquire multi-source spatiotemporal data of the target area; wherein, the multi-source spatiotemporal data includes multi-period remote sensing image data, land use classification data, and regional agricultural production data; the regional agricultural production data includes grain crop yield and price data; The spatial analysis module is communicatively connected to the data acquisition module and is used to perform spatial functional partitioning and grid processing on the multi-source spatiotemporal data to obtain functional area distribution data of the target area, wherein the functional area distribution data has spatial heterogeneity characteristics. The value quantification module is communicatively connected to the data acquisition module and the spatial analysis module. It is used to make regional adaptive corrections to the ecosystem service value benchmark based on the economic parameters in the multi-source spatiotemporal data, and to calculate the ecological value quantification results per unit area of ​​different functional zones by combining the functional zone distribution data. The compensation decision module is communicatively connected to the spatial analysis module and the value quantification module, and is used to generate spatially differentiated ecological compensation standards based on the functional area distribution data and the corresponding ecological value quantification results per unit area.

[0057] In a specific embodiment of the present invention, the spatial analysis module is specifically used to divide the target area into at least four functional zones, including ecological space, ecological production space, production-ecological space and living-production space, based on the dominant function of land use type.

[0058] In a specific embodiment of the present invention, the spatial analysis module specifically classifies areas dominated by forests and grasslands as ecological production spaces, areas dominated by wetlands as ecological spaces, areas dominated by farmland as production-ecological spaces, and areas dominated by towns and other construction land as living-production spaces.

[0059] In a specific embodiment of the present invention, the spatial analysis module is specifically used to divide the target area into square regular grid cells with a size between 50 meters and 200 meters on a geographic information system platform, and to perform spatial interpolation on the center point data of the grid cells using the Kriging interpolation method.

[0060] In a specific embodiment of the present invention, the value quantification module is specifically used to calculate the standard ecological value equivalent factor per unit area based on regional agricultural production data, calculate the economic development level correction coefficient based on regional macroeconomic statistics, and use the economic development level correction coefficient to correct the standard ecological value equivalent factor per unit area to obtain the regionally adaptively corrected ecological value equivalent factor per unit area.

[0061] In a specific embodiment of the present invention, the value quantification module is specifically used to calculate the ecological value quantification results per unit area of ​​different functional zones based on a preset ecosystem service value equivalent table for various land use types.

[0062] In a specific embodiment of the present invention, the ecosystem service value equivalent table includes the value equivalents of multiple service functions under the categories of supply services, regulation services, support services, and cultural services for farmland, forest, grassland, wetland, urban and unused land ecosystems.

[0063] like Figure 2 As shown, this embodiment of the invention provides a data processing method for evaluating regional ecological compensation standards, including: 110. The data acquisition module acquires multi-source spatiotemporal data of the target area; wherein, the multi-source spatiotemporal data includes multi-period remote sensing image data, land use classification data, and regional agricultural production data; the regional agricultural production data includes grain crop yield and price data; 120. Spatial analysis module, which is communicatively connected to the data acquisition module, performs spatial functional partitioning and grid processing on the multi-source spatiotemporal data to obtain functional area distribution data of the target area, wherein the functional area distribution data has spatial heterogeneity characteristics; 130. Value quantification module, which is communicatively connected to the data acquisition module and the spatial analysis module, performs regional adaptive correction of the ecosystem service value benchmark based on the economic parameters in the multi-source spatiotemporal data, and calculates the ecological value quantification results per unit area of ​​different functional zones by combining the functional zone distribution data. 140. The compensation decision module is communicatively connected to the spatial analysis module and the value quantification module, and generates spatially differentiated ecological compensation standards based on the functional area distribution data and the corresponding ecological value quantification results per unit area.

[0064] In a specific embodiment of the present invention, the spatial analysis module divides the target area into at least four functional zones, including ecological space, ecological production space, production-ecological space and living-production space, based on the dominant function of land use type.

[0065] In a specific embodiment of the present invention, the spatial analysis module classifies areas dominated by forests and grasslands as ecological production spaces, areas dominated by wetlands as ecological spaces, areas dominated by farmland as production-ecological spaces, and areas dominated by towns and other construction land as living-production spaces.

[0066] In a specific embodiment of the present invention, the spatial analysis module divides the target area into square regular grid cells with a size between 50 meters and 200 meters on a geographic information system platform, and uses Kriging interpolation to spatially interpolate the center point data of the grid cells.

[0067] In a specific embodiment of the present invention, the value quantification module calculates the standard ecological value equivalent factor per unit area based on regional agricultural production data, calculates the economic development level correction coefficient based on regional macroeconomic statistics, and uses the economic development level correction coefficient to correct the standard ecological value equivalent factor per unit area to obtain the regionally adaptively corrected ecological value equivalent factor per unit area.

[0068] In a specific embodiment of the present invention, the value quantification module calculates the ecological value quantification results per unit area of ​​different functional zones based on a preset ecosystem service value equivalent table for various land use types.

[0069] In a specific embodiment of the present invention, the ecosystem service value equivalent table includes the value equivalents of multiple service functions under the categories of supply services, regulation services, support services, and cultural services for farmland, forest, grassland, wetland, urban and unused land ecosystems.

[0070] Compared with the prior art, the present invention has significant advantages: This study creatively integrates the "three-life space" functional zoning theory, high-precision GIS gridded spatial analysis technology, and regional economic dynamic correction factors into a multi-dimensional technical system, constructing a novel ecological value assessment technology system specifically for rapidly urbanizing areas. By employing regular grid division of specific sizes (e.g., 100m × 100m) and spatial interpolation techniques, the accuracy of spatial heterogeneity analysis of ecosystem service value is significantly improved, effectively revealing its spatiotemporal evolution patterns and overcoming the ambiguity of large-scale assessments. The introduction of a correction coefficient based on GDP per unit area enables the assessment results to dynamically reflect the regional economic development level, achieving technical coupling between ecological value assessment and regional economic carrying capacity, making the generated compensation standard recommendations more realistic and feasible. The final output is differentiated ecological value per unit area based on different functional zones and spatial locations, providing an intuitive and quantitative decision support tool.

[0071] This invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of a data processing method for evaluating regional ecological compensation standards.

[0072] This invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of a data processing method for regional ecological compensation standard assessment as described above.

[0073] In addition, combined Figure 1 The data processing method for assessing regional ecological compensation standards described in this embodiment of the invention can be implemented by electronic devices, such as computer devices. Figure 3 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention.

[0074] In some embodiments, the computer device may further include a communication interface 83 and a bus 80. For example, Figure 3 As shown, the processor 81, memory 82, and communication interface 83 are connected through bus 80 and complete communication with each other.

[0075] Specifically, the processor 81 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of the present invention.

[0076] The memory 82 can be used to store or cache various data files that need to be processed and / or communicated, as well as possible computer program instructions executed by the processor 81.

[0077] The processor 81 reads and executes computer program instructions stored in the memory 82 to implement any of the data processing methods for regional ecological compensation standard assessment in the above embodiments.

[0078] 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.

[0079] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A data processing system for evaluating regional ecological compensation standards, characterized in that, It includes a data acquisition module, a spatial analysis module, a value quantification module, and a compensation decision-making module; The data acquisition module is used to acquire multi-source spatiotemporal data of the target area; wherein, the multi-source spatiotemporal data includes multi-period remote sensing image data, land use classification data, and regional agricultural production data; the regional agricultural production data includes grain crop yield and price data; The spatial analysis module is communicatively connected to the data acquisition module and is used to perform spatial functional partitioning and grid processing on the multi-source spatiotemporal data to obtain functional area distribution data of the target area, wherein the functional area distribution data has spatial heterogeneity characteristics. The value quantification module is communicatively connected to the data acquisition module and the spatial analysis module. It is used to make regional adaptive corrections to the ecosystem service value benchmark based on the economic parameters in the multi-source spatiotemporal data, and to calculate the ecological value quantification results per unit area of ​​different functional zones by combining the functional zone distribution data. The compensation decision module is communicatively connected to the spatial analysis module and the value quantification module, and is used to generate spatially differentiated ecological compensation standards based on the functional area distribution data and the corresponding ecological value quantification results per unit area.

2. The system according to claim 1, characterized in that, The spatial analysis module is specifically used to divide the target area into at least four functional zones, including ecological space, ecological production space, production-ecological space and living-production space, based on the dominant function of land use type.

3. The system according to claim 2, characterized in that, The spatial analysis module specifically classifies areas dominated by forests and grasslands as ecological production spaces, areas dominated by wetlands as ecological spaces, areas dominated by farmland as production-ecological spaces, and areas dominated by towns and other construction land as living-production spaces.

4. The system according to claim 1, characterized in that, The spatial analysis module is specifically used to divide the target area into square regular grid cells with a size between 50 meters and 200 meters on the geographic information system platform, and to perform spatial interpolation on the center point data of the grid cells using the Kriging interpolation method.

5. The system according to claim 1, characterized in that, The value quantification module is specifically used to calculate the standard ecological value equivalent factor per unit area based on regional agricultural production data, calculate the economic development level correction coefficient based on regional macroeconomic statistics, and use the economic development level correction coefficient to correct the standard ecological value equivalent factor per unit area to obtain the regionally adaptively corrected ecological value equivalent factor per unit area.

6. The system according to claim 1, characterized in that, The value quantification module is specifically used to calculate the ecological value quantification results per unit area of ​​different functional zones based on a preset table of ecosystem service value equivalents for various land use types.

7. The system according to claim 6, characterized in that, The ecosystem service value equivalent table includes the value equivalents of multiple service functions under the categories of provisioning services, regulating services, supporting services, and cultural services for farmland, forest, grassland, wetland, urban, and unused land ecosystems.

8. A data processing method for assessing regional ecological compensation standards, characterized in that, include; The data acquisition module acquires multi-source spatiotemporal data of the target area; wherein, the multi-source spatiotemporal data includes multi-period remote sensing image data, land use classification data, and regional agricultural production data; the regional agricultural production data includes grain crop yield and price data; The spatial analysis module is communicatively connected to the data acquisition module. It performs spatial functional zoning and grid processing on the multi-source spatiotemporal data to obtain functional area distribution data of the target area. The functional area distribution data has spatial heterogeneity characteristics. The value quantification module is communicatively connected to the data acquisition module and the spatial analysis module. Based on the economic parameters in the multi-source spatiotemporal data, it performs regional adaptive correction of the ecosystem service value benchmark. Combined with the functional zone distribution data, it calculates the ecological value quantification results per unit area for different functional zones. The compensation decision module is communicatively connected to the spatial analysis module and the value quantification module. Based on the functional area distribution data and the corresponding ecological value quantification results per unit area, it generates spatially differentiated ecological compensation standards.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the steps of the data processing method for evaluating regional ecological compensation standards as described in claim 8.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the data processing method for evaluating regional ecological compensation standards as described in claim 8.

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