Carbon balance state calculation method and system based on regional sustainable development
By comprehensively considering multiple influencing factors, and building economic development and ecological protection indicators, the problem of failure to fully consider influencing factors in the existing technology has been solved, and more accurate carbon balance assessment and sustainable development have been achieved. Support for the goal.
Patent Information
- Application Number
- CN202411626883.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-14
- Publication Date
- 2024-12-13
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing carbon balance calculation method fails to fully consider important factors affecting regional carbon balance, such as population size, GDP, carbon emission efficiency, urban built-up area and ecological background color, and has not been explored from the perspective of sustainable development. The balanced relationship between economic development and ecological protection.
Provide a method for calculating carbon equilibrium state based on regional sustainable development. By obtaining and calculating carbon emissions and carbon absorption data, comprehensively considering multiple influencing factors to make corrections, and constructing indicators for economic development and ecological protection level to evaluate their balance.
It significantly improves the accuracy and practicality of carbon balance calculations, and can more comprehensively evaluate the balance between regional economic development and ecological protection, providing strong data support for policy formulation and regional planning.
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Figure CN119130270A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of carbon balance, and in particular to a method and system for calculating a carbon balance state based on regional sustainable development. Background Art
[0002] At present, the regional carbon balance calculation technology is limited to the simple sum of the total carbon emissions directly or indirectly generated by a specific region in a specific period of time and the carbon absorption of the natural ecosystem, while ignoring various important factors that affect the actual carbon balance of each region, such as the population size, regional GDP, carbon emission efficiency, urban built-up area, and ecological background of each region. Therefore, reasonable corrections should be calculated based on the specific actual conditions of different regions in order to more accurately evaluate the carbon balance status of each region.
[0003] In addition, the existing carbon balance calculation method only focuses on the carbon balance calculation of carbon emissions and carbon absorption, and fails to explore the carbon balance relationship between economic development and ecological protection from the perspective of regional sustainable development. Balancing economic development and ecological protection is the key to regional sustainable development, and the existing carbon balance research method cannot meet the research needs based on sustainable development. Summary of the invention
[0004] The purpose of the present invention is to provide a method and system for calculating the carbon balance state based on regional sustainable development, so as to determine the research on the balance between economic development and ecological protection from a carbon perspective.
[0005] To achieve the above object, the present invention provides the following solution: a method for calculating the carbon balance state based on regional sustainable development, comprising the following steps: Step S1: Acquire data, collect carbon emission generation data, carbon absorption related data, socio-economic data and carbon emission coefficient; Step S2: Calculation of carbon emissions and carbon absorption: Calculate the carbon emissions and carbon absorption of each region based on the data obtained in step S1; Step S3: Calculate the correction amount, comprehensively consider the five influencing factors of each region, namely, population size, regional GDP, carbon emission efficiency, urban built-up area and ecological background, and calculate reasonable correction amounts for different regions; Step S4: data correction, according to the correction amount calculated in step S3, the carbon emission and carbon absorption of each region calculated in step S2 are corrected; Step S5: Indicator construction, based on the carbon emissions and carbon absorption of each region corrected in step S4, establish an economic development level indicator combining carbon emission data and an ecological protection level indicator combining carbon absorption data; Step S6: Balance assessment, determine the weights of the carbon emission economic development level index and the carbon absorption ecological protection level index obtained in step S5, and calculate the balance of the carbon emission economic development level index and the carbon absorption ecological protection level index.
[0006] Furthermore, in step S1, the data on the generation of carbon emissions include the number of livestock, the amount of waste processed, the amount of energy consumed by residents, the amount of fossil energy consumed by industry, and the amount used in agricultural activities; Data related to carbon absorption include the area of forest and grassland with different coverage, crop harvest, water area, and the ecosystem service value of forest, grassland and water; Socioeconomic data include population, gross regional product, and urban built-up area; The carbon emission coefficient includes the carbon emission coefficient of energy consumption, the carbon emission coefficient of agricultural activities, the carbon emission coefficient of forest land and grassland with different coverage, the carbon absorption coefficient of each crop, the water content coefficient of each crop, the economic coefficient of each crop, and the carbon emission coefficient of each land use type; The collected data are sorted and the units are converted uniformly to facilitate the subsequent calculation process.
[0007] Furthermore, in step S2, the carbon emission and carbon absorption are calculated, and the carbon emission and carbon absorption of each region are calculated respectively according to the data obtained in step S1; specifically, the steps include: Step S2.1, calculate industrial carbon emissions: (1); In the formula, for industrial carbon emissions; The amount of fossil energy used; is the carbon emission factor of fossil energy; It is a fossil energy type; Step S2.2, calculate waste carbon emissions: (2); In the formula, is the carbon emissions from waste; is the amount of waste discharged; is the waste emission factor; is the type of waste; Step S2.3, calculate the carbon emissions of residents’ lives: (3); In the formula, Carbon emissions for residents’ daily life; The amount of energy used by residents in daily life; Carbon emission factor for residential energy; For residential energy type; Step S2.4, calculate carbon emissions from agricultural activities: (4); In the formula, Carbon emissions from agricultural production activities; Amount used for agricultural production activities; is the carbon emission factor of agricultural production activities; It is the type of agricultural production activity; Step S2.5, the total carbon emissions before correction are: (5); In the formula, is the total carbon emissions before correction; Step S2.6, calculate the carbon absorption of crops: (6); In the formula, is the carbon absorption of crops; For the the carbon sequestration rate of crops grown; For the Economic yield of crops; For the The economic coefficient of growing crops; For the The moisture content of crops; Step S2.7, calculate the carbon absorption of forest land, grassland and water area: (7); Where: represents the carbon uptake of all land use types; land use type; Indicates the area of this land use type; represents the carbon absorption coefficient; Step S2.8, total carbon absorption before correction: (8); In the formula, is the total carbon absorption before correction.
[0008] Furthermore, in step S3, the correction amount calculation comprehensively considers the five influencing factors of the population size, regional GDP, carbon emission efficiency, urban built-up area and ecological background of each region, and calculates reasonable correction amounts for different regions; specifically, the following steps are included: Step S3.1, calculate the proportion of the four influencing factors of population size, regional GDP, carbon emission efficiency and urban built-up area in each region: (9); In the formula, is the proportion of influencing factors; For different regions; is the value of the influencing factor of the regional index value; is the type of influencing factor; Step S3.2, calculate the weight of each influencing factor: (10); (11); In the formula, is the weight of the influencing factor; is the proportion of influencing factors; is the entropy value of the influencing factors; is the total number of regions; For different regions; is the type of influencing factor; Step S3.3, calculate the carbon emission correction amount for each region: (12); In the formula, For different areas Carbon emission correction amount; For different areas Carbon emissions before correction, is the proportion of influencing factors; is the type of influencing factor; is the weight of the influencing factor; Step S3.4, calculate the correction amount of carbon absorption in each region, make corrections according to the different ecological backgrounds of each region, and use the ecosystem service function value to represent the ecological background of each region to calculate the benchmark value: (13); In the formula, For different areas Carbon absorption correction; For different areas Carbon absorption before correction; is the average ecosystem service value for all regions; For different areas ecosystem service value.
[0009] Furthermore, in step S4, data correction is performed on the carbon emissions and carbon absorption of each region calculated in step S2 according to the correction amount calculated in step S3; specifically: (14); (15); In the formula, For different areas Corrected carbon emissions; For different areas Corrected carbon uptake.
[0010] Further, in step S5, the index construction is to establish an economic development level index combining the carbon emission data and an ecological protection level index combining the carbon absorption data according to the carbon emission and carbon absorption data of each region corrected in step S4; the steps include: Step S5.1, calculate the economic development level index: (16); Where: It indicates the relative development level of regional economy, i.e. the indicator of economic development level; and Represents different areas Gross domestic product and total regional production; represents the total corrected regional carbon emissions; Step S5.2, calculate the ecological protection level index: (17); Where: It indicates the relative ecological protection level of the region, i.e. the ecological protection level index; and Represents different areas and the corrected carbon uptake for the total area.
[0011] Further, in step S6, the balance assessment determines the weights of the carbon emission economic development level index and the carbon absorption ecological protection level index obtained in step S5, and calculates the balance of the carbon emission economic development level index and the carbon absorption ecological protection level index; including the following steps: Step S6.1, standardize the economic development level indicators and ecological protection level indicators: (18); Where: is the standardized value; is the value before standardization; For different regions; The types of indicators are economic development level indicators and ecological protection level indicators; Step S6.2, calculate the entropy weight of the economic development level and ecological protection level in the carbon balance process: (19); (20); (twenty one); Where: Indicates different areas Different indicators The proportion of Indicates different indicators The entropy value of Indicates different indicators The entropy weight of is the total number of regions; Step S6.3, calculate the balance between the carbon emission economic development index and the carbon absorption ecological protection index: (twenty two); (twenty three); (twenty four); Where: It is the coupling degree between carbon emission economic development index and carbon absorption ecological protection index. It is a coordination index of carbon emission economic development indicators and carbon absorption ecological protection indicators. The coupling coordination degree, i.e., balance, of carbon emission economic development indicators and carbon absorption ecological protection indicators is used to classify the balance between economic development and ecological protection in each region; and They are economic development indicators and ecological protection indicators; and They are the maximum and minimum values of the carbon emission economic development index and the carbon absorption ecological protection index respectively.
[0012] Furthermore, a carbon balance calculation system based on regional sustainable development includes a data acquisition module, a first calculation module, a second calculation module, a third calculation module, a fourth calculation module, and an output data module; the data acquisition module is connected to the first calculation module after processing, the first calculation module is connected to the second calculation module after processing, the second calculation module is connected to the third calculation module after processing, the third calculation module is connected to the fourth calculation module after processing, and the fourth calculation module is connected to the output data module after processing; The data acquisition module generates corresponding research tasks according to the research area, and collects the data generated in each area within a preset time to obtain a preprocessed data set; The first calculation module calculates the collected data according to the carbon emission coefficient, calculates the carbon emission and carbon absorption data of each region, and obtains the original carbon emission and carbon absorption data of each region; The second calculation module calculates the data correction amount of the original carbon emission data and carbon absorption data of each region based on five influencing factors: population size, regional GDP, carbon emission efficiency, urban built-up area, and ecological background. After calculation, the correction amount of carbon emission and carbon absorption of each region is obtained; The third calculation module is responsible for processing the original carbon emission and carbon absorption data of each region, and calculating these data with the corresponding correction amount to obtain the corrected carbon emission and carbon absorption data of each region; The fourth calculation module is to construct carbon emission economic development level indicators and carbon absorption ecological protection level indicators. The carbon emission economic development level indicators of each region are constructed based on the regional GDP, and the carbon absorption ecological protection level indicators of each region are constructed based on the corrected carbon absorption numbers of each region. The output data module is responsible for determining the weight distribution of the carbon emission economic development level index and the carbon absorption ecological protection level index, and then calculating the balance between these two indicators. According to the preset division criteria of economic development and ecological protection balance, the specific carbon balance status of each region is output.
[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention performs multi-standard carbon emission and carbon absorption correction calculations by comprehensively considering five factors, including population size, regional GDP, carbon emission efficiency, urban built-up area, and ecological background in different regions. This method takes into account the actual situation of regional development, so that it can more accurately reflect the balance of carbon emissions and absorption between regions. Compared with the prior art method of simply adding up the carbon emissions and absorption of a specific region in a specific period of time, the present invention significantly improves the accuracy and practicality of carbon balance calculations.
[0014] 2. From the perspective of regional sustainable development, the present invention innovatively constructs economic development level indicators and ecological protection level indicators that combine carbon emissions and carbon absorption. The construction of these two indicators enables a more comprehensive assessment of the balance between economic development and ecological protection in the region, providing strong data support for policy formulation and regional planning.
[0015] 3. The present invention provides a more flexible coupling coordination measurement method that is more adaptable to different situations by innovating the coupling coordination model and introducing an exponential function. The model of the present invention is more flexible in processing indicators of different dimensions and numerical ranges, and is more accurate in evaluating the coupling coordination relationship of the system, thereby providing a more reliable evaluation result.
[0016] 4. The present invention provides a systematic carbon balance calculation method, which forms a complete solution from data acquisition, carbon emission and absorption calculation, correction calculation, data correction, indicator construction to balance assessment. This solution not only helps to promote the regional carbon balance process, but also promotes the dual balance of economy and ecology, and provides strong support for achieving sustainable development goals. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It is a flow chart of the present invention.
[0018] Figure 2 The figure is a flow chart of the system for calculating carbon balance state of the present invention. DETAILED DESCRIPTION
[0019] The present invention will be further described below by way of specific embodiment 1 and accompanying drawings.
[0020] Reference Figure 1 This embodiment 1 provides a method for calculating the carbon balance state based on regional sustainable development, comprising the steps of: Step S1: Acquire data, collect carbon emission generation data, carbon absorption related data, socio-economic data and carbon emission coefficient; Step S2: Calculation of carbon emissions and carbon absorption: Calculate the carbon emissions and carbon absorption of each region based on the data obtained in step S1; Step S3: Calculate the correction amount, comprehensively consider the five influencing factors of each region, namely, population size, regional GDP, carbon emission efficiency, urban built-up area and ecological background, and calculate reasonable correction amounts for different regions; Step S4: data correction, according to the correction amount calculated in step S3, the carbon emission and carbon absorption of each region calculated in step S2 are corrected; Step S5: Indicator construction, based on the carbon emissions and carbon absorption of each region corrected in step S4, establish an economic development level indicator combining carbon emission data and an ecological protection level indicator combining carbon absorption data; Step S6: Balance assessment, determine the weights of the carbon emission economic development level index and the carbon absorption ecological protection level index obtained in step S5, and calculate the balance of the carbon emission economic development level index and the carbon absorption ecological protection level index.
[0021] Specifically: Step S1, obtaining data, collecting carbon emission generation data, carbon absorption related data, socio-economic data and carbon emission coefficient; The data on carbon emissions include the number of livestock, the amount of waste (domestic garbage and sewage) treated, the amount of energy consumed by residents (coal, liquefied petroleum gas, natural gas and electricity), the amount of industrial fossil energy consumed and the amount of agricultural activities (fertilizers, pesticides, agricultural machinery, irrigation, agricultural film) used. The data on carbon absorption include the area of forest land and grassland with different coverage, the harvest of crops (rice, potatoes, peanuts, vegetables, fruits, tobacco, rapeseed, wheat, corn), the area of water and the ecosystem service value of forest land, grassland and water. The socio-economic data include the population, regional GDP and urban built-up area. The carbon emission coefficient includes the carbon emission coefficient of energy consumption, the carbon emission coefficient of agricultural activities, the carbon emission coefficient of forest land and grassland with different coverage, the carbon absorption coefficient of each crop, the water content coefficient of each crop, the economic coefficient of each crop and the carbon emission coefficient of each land use type. The collected data are sorted and the units are converted uniformly to facilitate the subsequent calculation process.
[0022] Furthermore, in step S1, the data on the generation of carbon emissions include the number of livestock, the amount of waste processed, the amount of energy consumed by residents, the amount of fossil energy consumed by industry, and the amount used in agricultural activities; Data related to carbon absorption include the area of forest and grassland with different coverage, crop harvest, water area, and the ecosystem service value of forest, grassland and water; Socioeconomic data include population, gross regional product, and urban built-up area; The carbon emission coefficient includes the carbon emission coefficient of energy consumption, the carbon emission coefficient of agricultural activities, the carbon emission coefficient of forest land and grassland with different coverage, the carbon absorption coefficient of each crop, the water content coefficient of each crop, the economic coefficient of each crop, and the carbon emission coefficient of each land use type; The collected data are sorted and the units are converted uniformly to facilitate the subsequent calculation process.
[0023] Furthermore, in step S2, the carbon emission and carbon absorption are calculated, and the carbon emission and carbon absorption of each region are calculated respectively according to the data obtained in step S1; specifically, the steps include: Step S2.1, calculate industrial carbon emissions: (1); In the formula, for industrial carbon emissions; The amount of fossil energy used; is the carbon emission factor of fossil energy; It is a fossil energy type; Step S2.2, calculate the carbon emissions of waste: (2); In the formula, is the carbon emissions from waste; The amount of waste discharged; is the waste emission factor; is the type of waste; Step S2.3, calculate the carbon emissions of residents’ lives: (3); In the formula, Carbon emissions for residents’ daily life; The amount of energy used by residents in daily life; Carbon emission factor for residential energy; For residential energy type; Step S2.4, calculate carbon emissions from agricultural activities: (4); In the formula, Carbon emissions from agricultural production activities; Amount used for agricultural production activities; is the carbon emission factor of agricultural production activities; It is the type of agricultural production activity; Step S2.5, the total carbon emissions before correction are: (5); In the formula, is the total carbon emissions before correction; Step S2.6, calculate the carbon absorption of crops: (6); In the formula, is the carbon absorption of crops; For the the carbon sequestration rate of crops grown; For the Economic yield of crops; For the The economic coefficient of growing crops; For the The moisture content of crops; Step S2.7, calculate the carbon absorption of forest land, grassland and water area: (7); Where: represents the carbon uptake of all land use types; land use type; Indicates the area of this land use type; represents the carbon absorption coefficient; Step S2.8, total carbon absorption before correction: (8); In the formula, is the total carbon absorption before correction.
[0024] Furthermore, in step S3, the correction amount calculation comprehensively considers the five influencing factors of the population size, regional GDP, carbon emission efficiency, urban built-up area and ecological background of each region, and calculates reasonable correction amounts for different regions; specifically, the following steps are included: Step S3.1, calculate the proportion of the four influencing factors of population size, regional GDP, carbon emission efficiency and urban built-up area in each region: (9); In the formula, is the proportion of influencing factors; For different regions; is the value of the influencing factor of the regional index value; is the type of influencing factor; Step S3.2, calculate the weight of each influencing factor: (10); (11); In the formula, is the weight of the influencing factor; is the proportion of influencing factors; is the entropy value of the influencing factors; is the total number of regions; For different regions; is the type of influencing factor; Step S3.3, calculate the carbon emission correction amount for each region: (12); In the formula, For different areas Carbon emission correction amount; For different areas Carbon emissions before correction, is the proportion of influencing factors; is the type of influencing factor; is the weight of the influencing factor; Step S3.4, calculate the correction amount of carbon absorption in each region, make corrections according to the different ecological backgrounds of each region, and use the ecosystem service function value to represent the ecological background of each region to calculate the benchmark value: (13); In the formula, For different areas Carbon absorption correction; For different areas Carbon absorption before correction; is the average ecosystem service value for all regions; For different areas ecosystem service value.
[0025] Furthermore, in step S4, data correction is performed on the carbon emissions and carbon absorption of each region calculated in step S2 according to the correction amount calculated in step S3; specifically: (14); (15); In the formula, For different areas Corrected carbon emissions; For different areas Corrected carbon uptake.
[0026] Further, in step S5, the index construction is to establish an economic development level index combining the carbon emission data and an ecological protection level index combining the carbon absorption data according to the carbon emission and carbon absorption data of each region corrected in step S4; the steps include: Step S5.1, calculate the economic development level index: (16); Where: It indicates the relative development level of regional economy, i.e. the indicator of economic development level; and Represents different areas Gross domestic product and total regional production; represents the total corrected regional carbon emissions; Step S5.2, calculate the ecological protection level index: (17); Where: It indicates the relative ecological protection level of the region, i.e. the ecological protection level index; and Represents different areas and the corrected carbon uptake for the total area.
[0027] Further, in step S6, the balance assessment determines the weights of the carbon emission economic development level index and the carbon absorption ecological protection level index obtained in step S5, and calculates the balance of the carbon emission economic development level index and the carbon absorption ecological protection level index; including the following steps: Step S6.1, standardize the economic development level indicators and ecological protection level indicators: (18); Where: is the standardized value; is the value before standardization; For different regions; The types of indicators are economic development level indicators and ecological protection level indicators; Step S6.2, calculate the entropy weight of the economic development level and ecological protection level in the carbon balance process: (19); (20); (twenty one); Where: Indicates different areas Different indicators The proportion of Indicates different indicators The entropy value of Indicates different indicators The entropy weight of is the total number of regions; Step S6.3, calculate the balance between the carbon emission economic development index and the carbon absorption ecological protection index: (twenty two); (twenty three); (twenty four); Where: It is the coupling degree between carbon emission economic development index and carbon absorption ecological protection index. It is a coordination index of carbon emission economic development indicators and carbon absorption ecological protection indicators. The coupling coordination degree, i.e., balance, of carbon emission economic development indicators and carbon absorption ecological protection indicators is used to classify the balance between economic development and ecological protection in each region (see Table 1); and They are economic development indicators and ecological protection indicators; and They are the maximum and minimum values of the carbon emission economic development index and the carbon absorption ecological protection index respectively.
[0028] Table 1 Criteria for the balance between economic development and ecological protection
[0029] Furthermore, a carbon balance calculation system based on regional sustainable development includes a data acquisition module, a first calculation module, a second calculation module, a third calculation module, a fourth calculation module, and an output data module; the data acquisition module is connected to the first calculation module after processing, the first calculation module is connected to the second calculation module after processing, the second calculation module is connected to the third calculation module after processing, the third calculation module is connected to the fourth calculation module after processing, and the fourth calculation module is connected to the output data module after processing; The data acquisition module generates corresponding research tasks according to the research area, and collects the data generated in each area within a preset time to obtain a preprocessed data set; The first calculation module calculates the collected data according to the carbon emission coefficient, calculates the carbon emission and carbon absorption data of each region, and obtains the original carbon emission and carbon absorption data of each region; The second calculation module calculates the data correction amount of the original carbon emission data and carbon absorption data of each region based on five influencing factors: population size, regional GDP, carbon emission efficiency, urban built-up area, and ecological background. After calculation, the correction amount of carbon emission and carbon absorption of each region is obtained; The third calculation module is responsible for processing the original carbon emission and carbon absorption data of each region, and calculating these data with the corresponding correction amount to obtain the corrected carbon emission and carbon absorption data of each region; The fourth calculation module is to construct carbon emission economic development level indicators and carbon absorption ecological protection level indicators. The carbon emission economic development level indicators of each region are constructed based on the regional GDP, and the carbon absorption ecological protection level indicators of each region are constructed based on the corrected carbon absorption numbers of each region. The output data module is responsible for determining the weight distribution of the carbon emission economic development level index and the carbon absorption ecological protection level index, and then calculating the balance between these two indicators. According to the preset division criteria of economic development and ecological protection balance, the specific carbon balance status of each region is output.
Claims
1. A method for calculating carbon balance status based on regional sustainable development, characterized by: The steps include: Step S1: Acquire data, collect carbon emission generation data, carbon absorption related data, socio-economic data and carbon emission coefficient; Step S2: Calculation of carbon emissions and carbon absorption: Calculate the carbon emissions and carbon absorption of each region based on the data obtained in step S1; Step S3: Calculate the correction amount, comprehensively consider the five influencing factors of each region, namely, population size, regional GDP, carbon emission efficiency, urban built-up area and ecological background, and calculate reasonable correction amounts for different regions; Step S4: data correction, according to the correction amount calculated in step S3, the carbon emission and carbon absorption of each region calculated in step S2 are corrected; Step S5: Indicator construction, based on the carbon emissions and carbon absorption of each region corrected in step S4, establish an economic development level indicator combining carbon emission data and an ecological protection level indicator combining carbon absorption data; Step S6: Balance assessment, determine the weights of the carbon emission economic development level index and the carbon absorption ecological protection level index obtained in step S5, and calculate the balance of the carbon emission economic development level index and the carbon absorption ecological protection level index.
2. The method for calculating carbon balance state based on regional sustainable development according to claim 1, characterized in that: In step S1, the data on carbon emissions include livestock numbers, waste disposal, residential energy consumption, industrial fossil energy consumption, and agricultural activity usage; Data related to carbon absorption include the area of forest and grassland with different coverage, crop harvest, water area, and the ecosystem service value of forest, grassland and water; Socioeconomic data include population, gross regional product, and urban built-up area; The carbon emission coefficient includes the carbon emission coefficient of energy consumption, the carbon emission coefficient of agricultural activities, the carbon emission coefficient of forest land and grassland with different coverage, the carbon absorption coefficient of each crop, the water content coefficient of each crop, the economic coefficient of each crop, and the carbon emission coefficient of each land use type; The collected data are sorted and the units are converted uniformly to facilitate the subsequent calculation process.
3. The method for calculating carbon balance state based on regional sustainable development according to claim 2, characterized in that: In step S2, the carbon emission and carbon absorption are calculated, and the carbon emission and carbon absorption of each region are calculated according to the data obtained in step S1. The steps include: Step S2.1, calculate industrial carbon emissions: (1); In the formula, for industrial carbon emissions; The amount of fossil energy used; is the carbon emission factor of fossil energy; It is a fossil energy type; Step S2.2, calculate waste carbon emissions: (2); In the formula, is the carbon emissions from waste; The amount of waste discharged; is the waste emission factor; is the type of waste; Step S2.3, calculate the carbon emissions of residents’ lives: (3); In the formula, Carbon emissions for residents’ daily life; The amount of energy used by residents in daily life; Carbon emission factor for residential energy; For residential energy type; Step S2.4, calculate carbon emissions from agricultural activities: (4); In the formula, Carbon emissions from agricultural production activities; Amount used for agricultural production activities; is the carbon emission factor of agricultural production activities; It is the type of agricultural production activity; Step S2.5, the total carbon emissions before correction are: (5); In the formula, is the total carbon emissions before correction; Step S2.6, calculate the carbon absorption of crops: (6); In the formula, is the carbon absorption of crops; For the the carbon sequestration rate of crops grown; For the Economic yield of crops; For the The economic coefficient of growing crops; For the The moisture content of crops; Step S2.7, calculate the carbon absorption of forest land, grassland and water area: (7); Where: represents the carbon uptake of all land use types; land use type; Indicates the area of this land use type; represents the carbon absorption coefficient; Step S2.8, total carbon absorption before correction: (8); In the formula, is the total carbon absorption before correction.
4. The method for calculating carbon balance state based on regional sustainable development according to claim 3, characterized in that: In step S3, the correction amount calculation comprehensively considers the five influencing factors of each region, namely, population size, regional GDP, carbon emission efficiency, urban built-up area and ecological background, and calculates reasonable correction amounts for different regions; specifically, the steps include: Step S3.1, calculate the proportion of the four influencing factors of population size, regional GDP, carbon emission efficiency and urban built-up area in each region: (9); In the formula, is the proportion of influencing factors; For different regions; is the index value influencing factor value of the region; is the type of influencing factor; Step S3.2, calculate the weight of each influencing factor: (10); (11); In the formula, is the weight of the influencing factor; is the proportion of influencing factors; is the entropy value of the influencing factors; is the total number of regions; For different regions; is the type of influencing factor; Step S3.3, calculate the carbon emission correction amount for each region: (12); In the formula, For different areas Carbon emission correction amount; For different areas Carbon emissions before correction, is the proportion of influencing factors; is the type of influencing factor; is the weight of the influencing factor; Step S3.4, calculate the correction amount of carbon absorption in each region, make corrections according to the different ecological backgrounds of each region, and use the ecosystem service function value to represent the ecological background of each region to calculate the benchmark value: (13); In the formula, For different areas Carbon absorption correction; For different areas Carbon absorption before correction; is the average ecosystem service value for all regions; For different areas ecosystem service value.
5. The method for calculating carbon balance state based on regional sustainable development according to claim 4, characterized in that: In step S4, data correction is performed on the carbon emissions and carbon absorption of each region calculated in step S2 according to the correction amount calculated in step S3; specifically: (14); (15); In the formula, For different areas Corrected carbon emissions; For different areas Corrected carbon uptake.
6. The method for calculating carbon balance state based on regional sustainable development according to claim 5, characterized in that: In step S5, the index is constructed, and the economic development level index combining the carbon emission data and the ecological protection level index combining the carbon absorption data are established according to the carbon emission and carbon absorption of each region corrected in step S4; the steps include: Step S5.1, calculate the economic development level index: (16); Where: It indicates the relative development level of regional economy, i.e. the indicator of economic development level; and Represents different areas Gross domestic product and total regional production; represents the total corrected regional carbon emissions; Step S5.2, calculate the ecological protection level index: (17); Where: It indicates the relative ecological protection level of the region, i.e. the ecological protection level index; and Represents different areas and the corrected carbon uptake for the total area.
7. The method for calculating carbon balance state based on regional sustainable development according to claim 6, characterized in that: In step S6, the balance assessment determines the weights of the carbon emission economic development level index and the carbon absorption ecological protection level index obtained in step S5, and calculates the balance of the carbon emission economic development level index and the carbon absorption ecological protection level index; the steps include: Step S6.1, standardize the economic development level indicators and ecological protection level indicators: (18); Where: is the standardized value; is the value before standardization; For different regions; The types of indicators are economic development level indicators and ecological protection level indicators; Step S6.2, calculate the entropy weight of the economic development level and ecological protection level in the carbon balance process: (19); (20); (21); Where: Indicates different areas Different indicators The proportion of Indicates different indicators The entropy value of Indicates different indicators The entropy weight of is the total number of regions; Step S6.3, calculate the balance between the carbon emission economic development index and the carbon absorption ecological protection index: (22); (23); (24); Where: It is the coupling degree between carbon emission economic development index and carbon absorption ecological protection index. It is a coordinated index of carbon emission economic development indicators and carbon absorption ecological protection indicators. The coupling coordination degree, i.e., balance, of carbon emission economic development indicators and carbon absorption ecological protection indicators; and They are economic development indicators and ecological protection indicators; and They are the maximum and minimum values of the carbon emission economic development index and the carbon absorption ecological protection index respectively.
8. A carbon balance calculation system based on regional sustainable development, applied to the carbon balance state calculation method based on regional sustainable development according to claim 7, characterized in that: It includes a data acquisition module, a first calculation module, a second calculation module, a third calculation module, a fourth calculation module, and an output data module; the data acquisition module is connected to the first calculation module after processing, the first calculation module is connected to the second calculation module after processing, the second calculation module is connected to the third calculation module after processing, the third calculation module is connected to the fourth calculation module after processing, and the fourth calculation module is connected to the output data module after processing; The data acquisition module generates corresponding research tasks according to the research area, and collects the data generated in each area within a preset time to obtain a preprocessed data set; The first calculation module calculates the collected data according to the carbon emission coefficient, calculates the carbon emission and carbon absorption data of each region, and obtains the original carbon emission and carbon absorption data of each region; The second calculation module calculates the data correction amount of the original carbon emission data and carbon absorption data of each region based on five influencing factors: population size, regional GDP, carbon emission efficiency, urban built-up area, and ecological background. After calculation, the correction amount of carbon emission and carbon absorption of each region is obtained; The third calculation module is responsible for processing the original carbon emission and carbon absorption data of each region, and calculating these data with the corresponding correction amount to obtain the corrected carbon emission and carbon absorption data of each region; The fourth calculation module is to construct carbon emission economic development level indicators and carbon absorption ecological protection level indicators. The carbon emission economic development level indicators of each region are constructed based on the regional GDP, and the carbon absorption ecological protection level indicators of each region are constructed based on the corrected carbon absorption numbers of each region. The output data module is responsible for determining the weight distribution of the carbon emission economic development level index and the carbon absorption ecological protection level index, and then calculating the balance between these two indicators. According to the preset division criteria of economic development and ecological protection balance, the specific carbon balance status of each region is output.
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CN119721866A
