A method for dividing offshore carbon sink functional areas based on carrying capacity-suitability

Abstract

The present invention relates to the field of environmental protection technology, and in particular to a method for dividing offshore carbon sink functional areas based on carrying capacity-suitability, comprising the following steps: S1: integrating multi-source spatial data of coastal wetlands, estuaries and shelf areas; S2: evaluating the carbon sink carrying capacity of each area under predetermined time and space conditions; S3: evaluating the spatial coupling relationship between the carbon sink function of each area and external factors, and determining the carbon sink suitability of each area; S4: demarcating boundaries based on the suitability evaluation results in S3; S5: dynamically adjusting the functional area boundaries demarcated in S4; S6: compiling a carbon storage-carbon flux balance list; S7: formulating corresponding zoning management measures. The present invention improves the accuracy and adaptability of offshore carbon sink functional area division by integrating multi-source data and realizing dynamic management, thereby optimizing carbon sink management measures, supporting scientific decision-making, and promoting the sustainable utilization of regional carbon sink resources.

Description

Technical Field

[0001] The present invention relates to the field of environmental protection technology, and in particular to a method for dividing offshore carbon sink functional areas based on carrying capacity-suitability. Background Art

[0002] As the impact of global climate change becomes increasingly severe, marine carbon sinks, as a key ecosystem function for regulating carbon dioxide concentrations in the atmosphere, have received widespread attention, especially in coastal areas, including coastal wetlands, estuaries and shelf areas. Their carbon sink function plays an indispensable role in mitigating the accumulation of greenhouse gases. However, the carbon sink capacity of these areas is affected by many factors, including changes in natural conditions and interference from human activities, all of which may lead to fluctuations and degradation of carbon sink capacity. The current challenge is how to accurately measure the carbon sink carrying capacity of different marine areas and effectively manage these areas to maximize their carbon sink potential.

[0003] There are still some shortcomings in the existing carbon sink assessment and management technologies. First, existing methods often fail to provide a comprehensive assessment framework to quantify and comprehensively consider multiple key indicators such as carbon sink capacity and carbon sink suitability. Second, existing management measures lack adaptive management of dynamic changes in carbon sink functional areas, resulting in the inability to respond in a timely manner to adjustments in carbon sink capacity caused by environmental changes. In addition, current methods have limited capabilities in spatial expression and refined management, making it difficult to effectively support complex decision-making and optimization of regional management strategies.

[0004] Therefore, there is an urgent need to develop a new method that can not only accurately evaluate and divide offshore carbon sink functional zones, but also realize dynamic management and detailed operation of functional zones to improve management efficiency and response capabilities. Summary of the invention

[0005] Based on the above objectives, the present invention provides a method for dividing offshore carbon sink functional areas based on carrying capacity-suitability.

[0006] A method for dividing offshore carbon sink functional areas based on carrying capacity-suitability includes the following steps:

[0007] S1: Integrate multi-source spatial data of coastal wetlands, estuaries and shelf areas to form a multidimensional dataset covering the T1, T2 and T3 levels;

[0008] S2: Through comprehensive analysis of the integrated data, the carbon sink capacity and quality of coastal wetlands, estuaries and shelf areas are evaluated, and the comparability of data in different time periods is ensured through standardization, so as to clarify the carbon sink carrying capacity of each region under the predetermined time and space conditions;

[0009] S3: Combine the carrying capacity assessment results specified in S2 with the spatiotemporal layers of various external influencing factors to conduct coupling analysis, evaluate the spatial coupling relationship between the carbon sink function of each region and external factors, and finally determine the carbon sink suitability of each region;

[0010] S4: Based on the suitability assessment results in S3, the source-sink boundary of the carbon sink functional zone is delineated at the T1 level, and the strong sink area, weak sink area, weak source area and strong source area are determined; at the T2 level, the ecological boundary of the carbon sink functional zone is delineated, and the important and vulnerable areas of carbon sink function are determined; at the T3 level, based on the suitability assessment results, the boundary of the artificial sink suitable area and priority area is delineated;

[0011] S5: Combine long-term time series data with real-time monitoring data to dynamically adjust the boundaries of the functional areas defined in S4;

[0012] S6: Integrate the carbon sink accounting methods of coastal wetlands, estuaries, and shelf areas to form a high-precision carbon sink quantitative and spatial accounting method, conduct refined management of carbon sink functional areas, and compile a carbon storage-carbon flux balance list;

[0013] S7: Formulate corresponding zoning management measures based on the carbon sink functional areas delineated in S4 and S5.

[0014] Optionally, the S1 specifically includes:

[0015] S11: Acquire multi-source spatial data of coastal wetlands, estuaries and shelf areas, including multi-spectral remote sensing images, radar data, lidar data and field sampling data, and pre-process the multi-source data through data fusion technology to ensure the consistency of temporal and spatial resolution of each data set and eliminate the deviation and noise between different data sources;

[0016] S12: Based on the preprocessed data, the spatial data of coastal wetlands, estuaries and shelf areas were classified, and the carbon sink-related information of each area was extracted, including vegetation cover, sediment type, seawater temperature and salinity, and the data were classified;

[0017] S13: Based on the classification results, construct multidimensional data sets that meet the T1 level, T2 level and T3 level, corresponding to the spatial resolution requirements of the entire China sea, offshore carbon sink functional area and artificial sink area, respectively. Specifically, the spatial resolution of the T1 level data set is set to 2 kilometers, the spatial resolution of the T2 level data set is set to 250 meters, and the spatial resolution of the T3 level data set is set to 10 meters. The temporal resolutions are monthly, hourly and every 5 days, respectively, to form the final multidimensional data set.

[0018] Optionally, the S2 specifically includes:

[0019] S21: Preliminary processing of the integrated coastal wetland, estuary and shelf area data, including data cleaning, denoising and outlier removal;

[0020] S22: Based on the data after preliminary processing, quantitative assessment of carbon sink capacity in coastal wetlands, estuaries and shelf areas is conducted, including zoning analysis of vegetation carbon sink, sediment carbon sink and seawater carbon sink; vegetation carbon sink estimates carbon fixation by analyzing vegetation coverage and biomass, sediment carbon sink estimates carbon storage in sediments by sediment type and depth, and seawater carbon sink is calculated by analyzing CO2 flux and dissolved inorganic carbon in seawater;

[0021] S23: Based on the quantitative assessment of S22, a comprehensive analysis of carbon sink quality is conducted, including the assessment of indicators such as carbon fixation rate and carbon sink sustainability. Specifically, time series analysis techniques are used to compare data at different time points to assess the sustainability and stability of carbon sink function.

[0022] S24: Standardize the assessment results, including normalizing the carbon sink data at different time points and adjusting the standard deviation to eliminate the systematic deviation between different time periods;

[0023] S25: Based on the standardized data, the carbon sink carrying capacity of each region under the predetermined time and space conditions is clarified by comprehensively considering the assessment results of carbon sink capacity and carbon sink quality; specifically, the carbon sink carrying capacity of coastal wetlands, estuaries and shelf areas is finally determined through weight analysis and comprehensive scoring of various data.

[0024] Optionally, the S25 specifically includes:

[0025] S251: Based on the standardized data, weights are assigned to carbon sink capacity and carbon sink quality respectively;

[0026] S252: Score the carbon sink capacity and carbon sink quality of each region separately, including carbon sink capacity score and carbon sink quality score;

[0027] S253: Comprehensive score, combining the carbon sink capacity score and carbon sink quality score obtained in S252, and calculating the comprehensive carbon sink carrying capacity score of each region through the following formula: ,in, represents the comprehensive carbon sink carrying capacity score of the region, represents the carbon sink capacity score, represents the carbon sink quality score;

[0028] S254: Based on the comprehensive scoring results in S253, each region is divided into different carbon sink carrying capacity levels, and the scoring threshold is set. and , will be rated higher than Areas with a score between and The area between is classified as medium load capacity area, with a score lower than The area is classified as low bearing capacity area.

[0029] Optionally, the S3 specifically includes:

[0030] S31: Acquire spatiotemporal layer data of various external influencing factors, wherein the external influencing factors include seawater temperature, salinity, ocean current rate, nutrient concentration and light intensity;

[0031] S32: Couple the spatiotemporal layer data of external influencing factors in S31 with the carbon sink carrying capacity assessment results specified in S2, specifically including using spatial regression analysis methods to calculate the correlation between the carbon sink carrying capacity of each region and the external influencing factors;

[0032] S33: Based on the results of spatial regression analysis in S32, evaluate the influence of various external factors on the carbon sink carrying capacity, and determine the spatial coupling relationship between the carbon sink function of each region and external factors by calculating the standardized regression coefficient to obtain the carbon sink suitability score of each region;

[0033] S34: Based on the carbon sink suitability scores of each region, the regions are divided into high suitability, medium suitability and low suitability regions according to the set score threshold; the suitability scores of high suitability regions are greater than the predetermined threshold. , the scores of medium suitability areas are between the threshold and The scores of low suitability areas are below the threshold .

[0034] Optionally, the S4 specifically includes:

[0035] S41: Under the T1 level, based on the carbon sink suitability assessment results in S3, the source-sink boundary of the carbon sink functional area is delineated, specifically based on the suitability score. The distribution of carbon sink functional areas is used to set the threshold, among which the high suitability score threshold is set. and low suitability score threshold , when the suitability score of the region Greater than When the score is between and When the score is between When the source area is strong, it is delineated as a weak source area or a strong source area. The division of strong and weak source areas is also based on the carbon sink carrying capacity evaluated in S3. When the bearing capacity is lower than a certain threshold When , it is defined as a strong source region, otherwise it is a weak source region;

[0036] S42: At the T2 level, based on the carbon sink suitability assessment results and carbon sink carrying capacity assessment results in S3, the ecological boundaries of the carbon sink functional areas are delineated, and the carrying capacity thresholds of important carbon sink functional areas are specifically set. and volatility thresholds in vulnerable areas , when the carbon sink carrying capacity of the region Higher than , and volatility When the carrying capacity is lower than the preset threshold, it is designated as an important carbon sink area; when the carrying capacity is lower than , and volatility When it is higher than the preset threshold, it is designated as a carbon sink function vulnerable area;

[0037] S43: At the T3 level, based on the suitability assessment results in S3, the boundaries of the artificial carbon sink suitable area and the priority area are delineated, specifically in combination with the carbon sink suitability score of the region. and controllability factors, determine the suitable area for artificial sedimentation, and set the threshold of the suitable area , when the suitability score Greater than When the artificial carbon sink is increased, the area is delineated as an area suitable for artificial carbon sink increase; in the suitable area, the regulation potential of external influencing factors is analyzed, and the regulation potential threshold of the priority area is set. , when the regulation potential of the region is above the threshold It is designated as a priority area for artificial carbon sequestration.

[0038] Optionally, the S5 specifically includes:

[0039] S51: Obtain long-term time series data and real-time monitoring data, including carbon sink carrying capacity data, carbon sink suitability data, and time series data of external influencing factors;

[0040] S52: Perform trend analysis on the long time series data in S51, specifically using linear regression analysis or time series analysis methods to calculate the long-term change trend of carbon sink carrying capacity and suitability indicators in each region. The trend analysis formula is: ,in, represents the carbon sink carrying capacity trend of region i, is a constant term, is the trend coefficient in the time series, t is the time, is the residual;

[0041] S53: Combined with real-time monitoring data, evaluate the actual situation of each functional area. The monitoring data includes the carbon sink carrying capacity, carbon sink suitability and real-time changes of external influencing factors in the current area. The evaluation adopts exponential smoothing method for prediction and evaluation;

[0042] S54: Based on the trend analysis results in S52 and the evaluation results of the real-time monitoring data in S53, the functional area boundaries defined in S4 are dynamically adjusted; after the boundaries are adjusted, the adjustment results are verified using the ten-fold cross-validation method.

[0043] Optionally, the S53 specifically includes:

[0044] S531: Based on the real-time monitoring data obtained, the exponential smoothing method is used to predict the short-term trend of carbon sink carrying capacity, carbon sink suitability and external influencing factors: the specific prediction formula includes:

[0045] The formula for predicting carbon sink carrying capacity is: ,in, is the predicted carbon sink carrying capacity at the next moment, is the carbon sink carrying capacity at the current moment, is the carbon sink carrying capacity at the previous moment, is the smoothing coefficient, ranging from 0 to 1;

[0046] The prediction formula for carbon sink suitability is: ,in, To predict the carbon sink suitability at the next moment, is the carbon sink suitability at the current moment, is the carbon sink suitability at the previous moment, is the smoothing coefficient;

[0047] The prediction formula of external influencing factors is: ,in, is the predicted temperature at the next moment, is the temperature at the current moment, is the temperature at the previous moment, is the smoothing coefficient;

[0048] S532: Compare the predicted carbon sink carrying capacity, carbon sink suitability and external influencing factors in S531 with the actual data at the current moment, evaluate the actual situation of each functional area and its short-term development trend, and provide a basis for the dynamic adjustment of boundaries in S54.

[0049] Optionally, the S6 specifically includes:

[0050] S61: Integrate carbon sink accounting methods for coastal wetlands, estuaries and shelf areas;

[0051] S62: Integrate the carbon sink accounting results of each region in S61 to form a high-precision carbon sink quantitative and spatial accounting method. Specifically, the total carbon sink of the entire region is calculated by weighted summing the carbon sinks of coastal wetlands, estuaries and shelf areas. The formula is: ,in, represents the total carbon sink in the entire region, , and are the weight coefficients of coastal wetlands, estuaries and shelf areas, represents the total carbon sink of coastal wetlands, represents the total carbon sink in the estuary area, represents the total carbon sink in the shelf area;

[0052] S63: Prepare a carbon stock-carbon flux balance list by calculating the carbon stock and carbon flux of each functional area using the formula: ,in, represents the carbon budget result of functional area i, is the carbon storage of functional area i, is all carbon fluxes in functional area i; and based on the carbon budget results, a carbon storage-carbon flux budget list of the functional area is compiled.

[0053] Optionally, the S7 specifically includes:

[0054] S71: According to the categories of carbon sink functional areas defined in S4 and S5, formulate corresponding zoning management measures, including:

[0055] For strong sink areas, formulate protective management measures and strictly restrict human activities;

[0056] For weak carbon sink areas, formulate restorative management measures to enhance carbon sink capacity through ecological restoration;

[0057] For strong source areas, formulate emission reduction and control measures to limit or transform high-emission activities and slow the expansion of carbon sources;

[0058] For areas with fragile carbon sink functions, implement adaptive management strategies to cope with environmental changes and enhance the region's resistance to environmental changes;

[0059] For areas suitable for artificial carbon sink enhancement and priority areas, formulate implementation plans for carbon sink enhancement projects and select carbon sink enhancement technologies to maximize regional carbon sink gains;

[0060] S72: Based on the zoning management measures in S71 and combined with the carbon sink suitability score of each region, determine the areas where artificial carbon sink enhancement projects are implemented first; and evaluate the feasibility, economy and environmental impact of the carbon sink enhancement projects in each region, and formulate implementation plans, including the selection of carbon sink enhancement technologies, expected carbon sink benefits and risk control measures.

[0061] Beneficial effects of the present invention:

[0062] The present invention ensures accurate assessment of the carbon sink carrying capacity of each region by adopting high-precision spatial data integration and standardized processing. In addition, combined with dynamic data analysis and real-time monitoring, the boundaries of carbon sink functional areas can be adjusted according to the actual impact of environmental changes and human activities, thereby realizing dynamic management of carbon sink functional areas. This method can help decision makers better understand and utilize regional carbon sink potential and optimize carbon sink management measures.

[0063] The present invention, through effective coupling with existing planning zoning and ecological zoning, can not only enhance the protection and resilience of regional carbon sink functions, but also provide scientific decision-making support for the regional selection of artificial carbon sink projects. In addition, by compiling a carbon storage-carbon flux balance list, the present invention can also provide detailed data support for the formulation and implementation of relevant policies, and promote the sustainable utilization and management of marine carbon sink resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0065] Figure 1 This is a schematic diagram of a method for dividing offshore carbon sink functional areas according to an embodiment of the present invention;

[0066] Figure 2 This is a schematic diagram of a process for clarifying the carbon sink carrying capacity under the temporal and spatial conditions of each region according to an embodiment of the present invention. DETAILED DESCRIPTION

[0067] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0068] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0069] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0070] like Figure 1-Figure 2 As shown, a method for dividing offshore carbon sink functional areas based on carrying capacity-suitability includes the following steps:

[0071] S1: Integrate multi-source spatial data of coastal wetlands, estuaries and shelf areas to form a multidimensional data set covering the T1 level (the whole China Sea), T2 level (offshore carbon sink functional area) and T3 level (artificial sink area). The spatial resolution of the data is 2 km, 250 m and 10 m at different levels, and the temporal resolution is monthly, hourly and every 5 days respectively;

[0072] S2: Comprehensively analyze the integrated data to assess the carbon sink capacity and quality (e.g. carbon fixation rate, CO2 flux) of coastal wetlands, estuaries and shelf areas, and standardize the data to ensure comparability over different time periods, thereby clarifying the carbon sink carrying capacity of each region under predetermined temporal and spatial conditions;

[0073] S3: Combine the carrying capacity assessment results specified in S2 with the spatiotemporal layers of various external influencing factors to conduct coupling analysis, evaluate the spatial coupling relationship between the carbon sink function of each region and external factors, and finally determine the carbon sink suitability of each region;

[0074] S4: Based on the suitability assessment results in S3, the source-sink boundary of the carbon sink functional zone is delineated at the T1 level, and the strong sink area, weak sink area, weak source area and strong source area are determined; at the T2 level, the ecological boundary of the carbon sink functional zone is delineated, and the important and vulnerable areas of carbon sink function are determined; at the T3 level, based on the suitability assessment results, the boundary of the artificial sink suitable area and priority area is delineated;

[0075] S5: Combine long-term time series data with real-time monitoring data to dynamically adjust the functional area boundaries defined in S4 to ensure the accuracy and timeliness of the division results and reduce uncertainty;

[0076] S6: Integrate the carbon sink accounting methods of coastal wetlands, estuaries, and shelf areas to form a high-precision carbon sink quantitative and spatial accounting method, conduct refined management of carbon sink functional areas, and compile a carbon storage-carbon flux balance list;

[0077] S7: Based on the carbon sink functional zones defined in S4 and S5, formulate corresponding zoning management measures to provide decision support for the regional selection of artificial carbon sink enhancement projects.

[0078] S1 specifically includes:

[0079] S11: Obtain multi-source spatial data of coastal wetlands, estuaries and shelf areas, including multispectral remote sensing images, radar data, LiDAR data and field sampling data, and pre-process the multi-source data through data fusion technology to ensure the consistency of temporal and spatial resolution of each data set and eliminate the deviation and noise between different data sources;

[0080] S12: Based on the pre-processed data, the spatial data of coastal wetlands, estuaries and shelf areas are classified, and the carbon sink-related information of each area is extracted, including vegetation cover, sediment type, seawater temperature and salinity. The data are classified and processed by combining supervised classification and unsupervised classification techniques to ensure the accuracy and reliability of the classification results.

[0081] S13: Based on the classification results, construct multidimensional data sets that meet the T1 level, T2 level and T3 level, corresponding to the spatial resolution requirements of the entire China sea, offshore carbon sink functional areas and artificial sink areas, respectively. Specifically, the spatial resolution of the T1 level data set is set to 2 kilometers, the spatial resolution of the T2 level data set is set to 250 meters, and the spatial resolution of the T3 level data set is set to 10 meters. The temporal resolutions are monthly, hourly and every 5 days, respectively, to form the final multidimensional data set. Through the above steps, multi-source spatial data of coastal wetlands, estuaries and shelf areas can be effectively integrated to form a multidimensional data set with high spatial and temporal resolution, which provides an accurate data basis for subsequent carbon sink carrying capacity assessment and suitability assessment, and ensures the scientificity and accuracy of the division of the entire offshore carbon sink functional area.

[0082] S2 specifically includes:

[0083] S21: Preliminary processing of the integrated coastal wetland, estuary and shelf area data, including data cleaning, denoising and outlier removal, to ensure data integrity and reliability; this step uses statistical analysis and filtering techniques to remove outliers and correct data deviations, thereby obtaining a basic data set with good consistency;

[0084] S22: Based on the data after preliminary processing, quantitative assessment of carbon sink capacity in coastal wetlands, estuaries and shelf areas is conducted, including zoning analysis of vegetation carbon sink, sediment carbon sink and seawater carbon sink; vegetation carbon sink estimates carbon fixation by analyzing vegetation coverage and biomass, sediment carbon sink estimates carbon storage in sediments by sediment type and depth, and seawater carbon sink is calculated by analyzing CO2 flux and dissolved inorganic carbon in seawater;

[0085] The quantitative assessment of vegetation carbon sink is calculated by the following formula: ,in, represents the vegetation carbon sink, represents the vegetation coverage area, B represents the vegetation biomass density, represents the carbon fixation rate;

[0086] The quantitative assessment of sediment carbon sink is calculated using the following formula: ,in, represents the sediment carbon sink, represents the sediment coverage area, represents the sediment depth, represents the sediment density, Indicates carbon content;

[0087] The quantitative assessment of seawater carbon sink is carried out through the following formula: ,in, represents the carbon sink in seawater, represents CO2 flux, T represents the time span;

[0088] S23: Based on the quantitative assessment of S22, a comprehensive analysis of carbon sink quality is conducted, including the assessment of indicators such as carbon fixation rate and carbon sink sustainability. Specifically, time series analysis technology is used to compare data at different time points to assess the sustainability and stability of carbon sink function, thereby determining the carbon sink quality characteristics of each region. The specific formula is: ,in, represents the standard deviation of carbon sink at time point t, represents the carbon sink in the ith region at time point t, represents the average value of carbon sequestration at that time point, and n represents the number of observed samples; by calculating the standard deviation at different time points To assess the volatility of carbon sink function and thus determine the stability of carbon sink function;

[0089] S24: Standardize the assessment results, including normalizing the carbon sink data at different time points and adjusting the standard deviation to eliminate the systematic deviation between different time periods; the standardization methods used include Z-score standardization and minimum-maximum standardization, and by processing the full time series data, ensure that the assessment results in different time periods are comparable;

[0090] S25: Based on the standardized data, the assessment results of carbon sink capacity and carbon sink quality are comprehensively considered to clarify the carbon sink carrying capacity of each region under the predetermined time and space conditions; specifically, through weight analysis and comprehensive scoring of various data, the carbon sink carrying capacity of coastal wetlands, estuaries and shelf areas is finally determined to provide basic data support for subsequent suitability assessments; through the above steps, the carbon sink capacity and quality of coastal wetlands, estuaries and shelf areas can be systematically assessed, and the comparability of data in different time periods can be ensured through standardized processing, and the carbon sink carrying capacity of each region under specific time and space conditions is clarified, thereby providing a scientific basis for the precise division of offshore carbon sink functional areas and ensuring the reliability and consistency of the assessment results.

[0091] S25 specifically includes:

[0092] S251: Based on the standardized data, weights are assigned to carbon sink capacity and carbon sink quality respectively, and weight coefficients are set and ,in represents the weight of carbon sink capacity, represents the weight of the carbon sink quality, and ; The specific weight coefficient is determined based on historical data analysis and expert evaluation to ensure that the weight allocation is reasonable and effective;

[0093] S252: Score the carbon sink capacity and carbon sink quality of each region separately, including carbon sink capacity score and carbon sink quality score;

[0094] The carbon sink capacity scoring formula is: ,in, represents the carbon sink capacity score, represents the vegetation carbon sink, represents the sediment carbon sink, represents the carbon sink in seawater, is the weight coefficient of carbon sink capacity;

[0095] The carbon sink quality scoring formula is: ,in, represents the carbon sink quality score, represents the vegetation carbon fixation rate, represents the sediment carbon fixation rate, represents the carbon fixation rate of seawater, is the weight coefficient of carbon sink quality;

[0096] S253: Comprehensive score, combined with the carbon sink capacity score obtained in S252 and carbon sink quality score , the comprehensive carbon sink carrying capacity score of each region is calculated by the following formula: ,in, represents the comprehensive carbon sink carrying capacity score of the region, represents the carbon sink capacity score, Represents the carbon sink quality score; this score takes into account both the carbon sink capacity and quality, and ultimately determines the carbon sink carrying capacity level of coastal wetlands, estuaries and shelf areas by ranking the scores of each area;

[0097] S254: Based on the comprehensive scoring results in S253, each region is divided into different carbon sink carrying capacity levels, and the scoring threshold is set. and , will be rated higher than Areas with a score between and The area between is classified as medium load capacity area, with a score lower than The area is divided into low bearing capacity areas, among which represents the high carrying capacity score threshold, Indicates the low carrying capacity scoring threshold; through the above steps, based on the standardized data, the assessment results of carbon sink capacity and carbon sink quality can be accurately integrated, and through specific weight analysis and scoring formulas, the carbon sink carrying capacity level of coastal wetlands, estuaries and shelf areas can be clarified. This method ensures the scientific nature and operability of the assessment results, provides a quantitative basis for further dividing offshore carbon sink functional areas, and optimizes the carbon sink management strategy.

[0098] S3 specifically includes:

[0099] S31: Obtain spatiotemporal layer data of various external influencing factors, including seawater temperature (T), salinity (S), current velocity (V), nutrient concentration (N) and light intensity (I), and perform interpolation and spatial resampling on the data to ensure that its spatial and temporal resolutions are consistent with those of the carrying capacity assessment results;

[0100] S32: Couple the spatiotemporal layer data of external influencing factors in S31 with the carbon sink carrying capacity assessment results specified in S2, specifically using the spatial regression analysis method to calculate the correlation between the carbon sink carrying capacity of each region and the external influencing factors; the formula for spatial regression analysis is:

[0101] ,in, represents the carbon sink carrying capacity of region i, is a constant term, , , , and is the regression coefficient corresponding to each influencing factor (temperature, salinity, ocean current rate, nutrient concentration, light intensity), is the residual term;

[0102] S33: Based on the results of spatial regression analysis in S32, evaluate the influence of various external factors on the carbon sink carrying capacity, and calculate the standardized regression coefficient , judge the spatial coupling relationship between the carbon sink function of each region and external factors, and obtain the carbon sink suitability score of each region; the calculation formula of the carbon sink suitability score is: ,in, represents the carbon sink suitability score of region i, is the weight coefficient of each influencing factor, is the standardized regression coefficient;

[0103] S34: Based on the carbon sink suitability scores of each region, the regions are divided into high suitability, medium suitability and low suitability regions according to the set score threshold; the suitability scores of high suitability regions are greater than the predetermined threshold. , the scores of medium suitability areas are between the threshold and The scores of low suitability areas are below the threshold ;in, and The scoring threshold is set according to historical data and actual needs. Through the above steps, the carbon sink carrying capacity assessment results can be effectively coupled with the spatiotemporal layer data of external influencing factors for analysis, and the spatial coupling relationship between the carbon sink function of each region and external factors can be accurately assessed. The carbon sink suitability score is calculated to ultimately determine the carbon sink suitability level of each region. This method provides a scientific basis for the precise division of offshore carbon sink functional zones and optimizes the carbon sink suitability management strategy.

[0104] S4 specifically includes:

[0105] S41: Under the T1 level, based on the carbon sink suitability assessment results in S3, the source-sink boundary of the carbon sink functional area is delineated, specifically based on the suitability score. The distribution of carbon sink functional areas is set, and the threshold for dividing carbon sink functional areas is set. and low suitability score threshold , when the suitability score of the region Greater than When the score is between and When the score is between When the source area is strong, it is delineated as a weak source area or a strong source area. The division of strong and weak source areas is also based on the carbon sink carrying capacity evaluated in S3. When the bearing capacity is lower than a certain threshold When , it is defined as a strong source region, otherwise it is a weak source region;

[0106] S42: Under the T2 level, according to the carbon sink suitability assessment results and carbon sink carrying capacity assessment results in S3, the ecological boundaries of the carbon sink functional areas are delineated, specifically according to the carbon sink carrying capacity values ​​of each region. Based on the coupling with external influencing factors, the important and vulnerable areas of carbon sink function are determined; the important areas of carbon sink function are those areas with stable and high carrying capacity at all time points, and the vulnerable areas of carbon sink function are those areas whose carrying capacity changes greatly over time; the carrying capacity threshold of important areas of carbon sink function is set and volatility thresholds in vulnerable areas , when the carbon sink carrying capacity of the region Higher than , and volatility When the carrying capacity is lower than the preset threshold, it is designated as an important carbon sink area; when the carrying capacity is lower than , and volatility When it is higher than the preset threshold, it is designated as a carbon sink function vulnerable area;

[0107] S43: At the T3 level, based on the suitability assessment results in S3, the boundaries of the artificial carbon sink suitable areas and priority areas are delineated, specifically in combination with the carbon sink suitability scores of the regions. and controllability factors, determine the suitable area for artificial sedimentation, and set the threshold of the suitable area , when the suitability score Greater than When the artificial carbon sink is increased, the area is delineated as an area suitable for artificial carbon sink increase; in the suitable area, the regulation potential of external influencing factors is analyzed, and the regulation potential threshold of the priority area is set. , when the regulation potential of the region is above the threshold Through the above steps, the boundaries of carbon sink functional zones at the T1, T2 and T3 levels can be accurately delineated to ensure the scientificity and rationality of source-sink boundaries, ecological boundaries and suitability boundaries. This method fully combines the results of carbon sink suitability assessment with carrying capacity analysis, optimizes the carbon sink function division of each region, and helps to more effectively manage and enhance the offshore carbon sink function.

[0108] S5 specifically includes:

[0109] S51: Obtain long-term time series data and real-time monitoring data, including carbon sink carrying capacity data, carbon sink suitability data, and time series data of external influencing factors (such as temperature, salinity, ocean current rate, etc.), and pre-process the data through data cleaning and interpolation methods to ensure data continuity and accuracy;

[0110] S52: Perform trend analysis on the long time series data in S51, specifically using linear regression analysis or time series analysis methods to calculate the long-term change trend of carbon sink carrying capacity and suitability indicators in each region. The trend analysis formula is: ,in, represents the carbon sink carrying capacity trend of region i, is a constant term, is the trend coefficient in the time series, t is the time, is the residual, and by analyzing the trend coefficient , determine the long-term change direction and magnitude of carbon sink function in each region;

[0111] S53: Combined with real-time monitoring data, evaluate the actual situation of each functional area. The monitoring data includes the carbon sink carrying capacity, carbon sink suitability and real-time changes of external influencing factors in the current area. The evaluation adopts exponential smoothing method for prediction and evaluation to ensure the connection between real-time data and long-term data.

[0112] S54: Based on the trend analysis results in S52 and the evaluation results of the real-time monitoring data in S53, the functional area boundaries defined in S4 are dynamically adjusted. The specific rules include:

[0113] Rule 1: If the trend analysis shows that the carbon sink carrying capacity and suitability scores of a region continue to decline, and the real-time monitoring data verifies the trend, the functional area boundaries of the region will be adjusted accordingly, downgrading it from a high carrying area or priority area to a low carrying area or general suitability area;

[0114] Rule 2: If the trend analysis shows that the carbon sink carrying capacity and suitability scores of a region are showing a significant upward trend, and the real-time monitoring data supports the upward trend, the functional area boundary of the region will be expanded or upgraded accordingly to a high carrying capacity area or priority area;

[0115] After the boundary adjustment, the ten-fold cross-validation method is used to verify the adjustment results to ensure the rationality and accuracy of the adjusted boundary. Through the above steps, the long time series data and real-time monitoring data can be effectively combined to dynamically adjust the boundaries of the designated functional areas. This method ensures the real-time and scientific nature of the division of offshore carbon sink functional areas, can flexibly respond to environmental changes, and optimize the management and planning strategies of carbon sink functional areas.

[0116] The exponential smoothing method used in S53 to predict short-term trend changes specifically includes:

[0117] S531: Based on the real-time monitoring data obtained, the exponential smoothing method is used to predict the short-term trend of carbon sink carrying capacity, carbon sink suitability and external influencing factors: the specific prediction formula includes:

[0118] The formula for predicting carbon sink carrying capacity is: ,in, is the predicted carbon sink carrying capacity at the next moment, is the carbon sink carrying capacity at the current moment, is the carbon sink carrying capacity at the previous moment, is the smoothing coefficient, which ranges from 0 to 1 and is used to control the sensitivity of the prediction results to new data;

[0119] The prediction formula for carbon sink suitability is: ,in, To predict the carbon sink suitability at the next moment, is the carbon sink suitability at the current moment, is the carbon sink suitability at the previous moment, is the smoothing coefficient;

[0120] The prediction formula of external influencing factors is: ,in, is the predicted temperature at the next moment, is the temperature at the current moment, is the temperature at the previous moment, is the smoothing coefficient, and the prediction formulas for other external influencing factors are similar;

[0121] S532: Compare the predicted carbon sink carrying capacity, carbon sink suitability and external influencing factors in S531 with the actual data at the current moment, evaluate the actual situation of each functional zone and its short-term development trend, and provide a basis for the dynamic adjustment of boundaries in S54; Through the above steps, the use of real-time monitoring data combined with the exponential smoothing method for short-term prediction can quickly and accurately evaluate the actual situation and changing trends of each functional zone. This method ensures the timeliness and flexibility of the management of offshore carbon sink functional zones while maintaining the prediction accuracy, and provides reliable technical support for dynamic adjustment.

[0122] S6 specifically includes:

[0123] S61: Integrate carbon sink accounting methods for coastal wetlands, estuaries and shelf areas;

[0124] The specific steps are as follows:

[0125] The carbon sink accounting of coastal wetlands adopts the dual accounting method of vegetation carbon sequestration and sediment carbon sequestration, and calculates vegetation carbon sequestration separately. and sediment carbon storage , combined with vegetation coverage and sediment distribution, the total carbon sink of coastal wetlands is calculated using the formula: ,in, represents the total carbon sink of coastal wetlands, represents the amount of carbon sequestered by vegetation, represents sediment carbon storage;

[0126] The carbon sink accounting in estuaries is based on the sediment carbon fixation rate. and water carbon flux The combination of the two methods was used to calculate the sediment carbon storage and water carbon flux in the estuary area, and a comprehensive weighted treatment was performed. The formula is: ,in, represents the total carbon sink in the estuary area, and are weight coefficients, representing the contribution of sediment carbon fixation rate and water carbon flux respectively;

[0127] The carbon sink in the continental shelf area is calculated by using the dissolved inorganic carbon in seawater and biogenic carbon sink The amount of dissolved inorganic carbon in seawater and the amount of carbon fixed by marine organisms were calculated by combining the two methods, and then a comprehensive weighted treatment was performed. The formula is: ,in, represents the total carbon sink in the shelf area, and are weight coefficients, representing the contribution of dissolved inorganic carbon and biological carbon sink respectively.

[0128] S62: Integrate the carbon sink accounting results of each region in S61 to form a high-precision carbon sink quantitative and spatial accounting method. Specifically, the total carbon sink of the entire region is calculated by weighted summing the carbon sinks of coastal wetlands, estuaries and shelf areas. The formula is: ,in, represents the total carbon sink in the entire region, , and are the weight coefficients of coastal wetlands, estuaries and shelf areas, represents the total carbon sink of coastal wetlands, represents the total carbon sink in the estuary area, represents the total carbon sink in the shelf area;

[0129] S63: Prepare a carbon stock-carbon flux balance list by calculating the carbon stock and carbon flux of each functional area using the formula: ,in, represents the carbon budget result of functional area i, is the carbon storage of functional area i, for all carbon fluxes within functional area i; and based on the carbon balance results, compile a carbon storage-carbon flux balance list for the functional area, clarify the carbon sink contribution and carbon emissions of each functional area, and provide a basis for refined management; through the above steps, the carbon sink accounting methods of coastal wetlands, estuaries and shelf areas can be effectively integrated to form an accurate carbon sink quantification and spatial accounting scheme. This method ensures the refined management of carbon sink functional areas by compiling a carbon storage-carbon flux balance list, and provides a scientific basis for the optimization of carbon sink functions and policy formulation.

[0130] S7 specifically includes:

[0131] S71: According to the categories of carbon sink functional zones defined in S4 and S5 (such as strong sink zone, weak sink zone, strong source zone, weak source zone, important carbon sink functional zone, vulnerable carbon sink functional zone, suitable zone for artificial sink enhancement, and priority zone), formulate corresponding zoning management measures, including:

[0132] For strong carbon sink areas, formulate protective management measures, strictly limit human activities, prevent carbon sink capacity from being disturbed or destroyed, and ensure the continuous stability of the carbon sink function in the area;

[0133] For weak carbon sink areas, restorative management measures should be formulated to enhance carbon sink capacity through ecological restoration measures (such as vegetation restoration and wetland restoration), and gradually improve the carbon sink function of the area;

[0134] For strong source areas, formulate emission reduction and control measures, limit or transform high-emission activities, slow down the expansion of carbon sources, and explore artificial sink enhancement projects to reverse the carbon source effect;

[0135] For areas with vulnerable carbon sink functions, implement adaptive management strategies to cope with environmental changes, enhance the region's resistance to environmental changes, and avoid further weakening of carbon sink functions;

[0136] For areas suitable for artificial carbon sink enhancement and priority areas, formulate implementation plans for carbon sink enhancement projects and select technologies for carbon sink enhancement (such as marine fertilizer placement, blue carbon ecosystem restoration, etc.) to maximize regional carbon sink gains;

[0137] S72: Based on the zoning management measures in S71 and combined with the carbon sink suitability score of each region, determine the areas where artificial carbon sink enhancement projects are given priority, focusing on priority areas and weak sink areas with high carbon sink potential; and evaluate the operability, economy and environmental impact of carbon sink enhancement projects in each region, and formulate implementation plans, including the selection of carbon sink enhancement technologies, expected carbon sink benefits and risk control measures, to provide scientific decision-making support for managers.

[0138] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0139] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for dividing offshore carbon sink functional areas based on carrying capacity-suitability, characterized in that: The following steps are involved: S1: Integrate multi-source spatial data of coastal wetlands, estuaries and shelf areas to form a multidimensional dataset covering the T1, T2 and T3 levels; The S1 specifically includes: S11: Acquire multi-source spatial data of coastal wetlands, estuaries and shelf areas, including multi-spectral remote sensing images, radar data, lidar data and field sampling data, and pre-process the multi-source data through data fusion technology to ensure the consistency of temporal and spatial resolution of each data set and eliminate the deviation and noise between different data sources; S12: Based on the preprocessed data, the spatial data of coastal wetlands, estuaries and shelf areas were classified, and the carbon sink-related information of each area was extracted, including vegetation cover, sediment type, seawater temperature and salinity, and the data were classified; S13: Based on the classification results, construct multidimensional datasets that meet the T1, T2 and T3 levels, corresponding to the spatial resolution requirements of the entire China Sea, offshore carbon sink functional areas and artificial sink areas, respectively. Specifically, the spatial resolution of the T1 level dataset is set to 2 kilometers, the spatial resolution of the T2 level dataset is set to 250 meters, and the spatial resolution of the T3 level dataset is set to 10 meters. The temporal resolutions are monthly, hourly and every 5 days, respectively, to form the final multidimensional dataset; S2: Through comprehensive analysis of the integrated data, the carbon sink capacity and quality of coastal wetlands, estuaries and shelf areas are evaluated, and the comparability of data in different time periods is ensured through standardization, so as to clarify the carbon sink carrying capacity of each region under the predetermined time and space conditions; The S2 specifically includes: S21: Preliminary processing of the integrated coastal wetland, estuary and shelf area data, including data cleaning, denoising and outlier removal; S22: Based on the data after preliminary processing, quantitative assessment of carbon sink capacity in coastal wetlands, estuaries and shelf areas is conducted, including zoning analysis of vegetation carbon sink, sediment carbon sink and seawater carbon sink; vegetation carbon sink estimates carbon fixation by analyzing vegetation coverage and biomass, sediment carbon sink estimates carbon storage in sediments by sediment type and depth, and seawater carbon sink is calculated by analyzing CO2 flux and dissolved inorganic carbon in seawater; S23: Based on the quantitative assessment of S22, a comprehensive analysis of carbon sink quality is conducted, including the assessment of carbon fixation rate and carbon sink sustainability indicators; specifically, time series analysis techniques are used to compare data at different time points to assess the sustainability and stability of carbon sink function; S24: Standardize the assessment results, including normalizing the carbon sink data at different time points and adjusting the standard deviation to eliminate the systematic deviation between different time periods; S25: Based on the standardized data, comprehensively consider the assessment results of carbon sink capacity and carbon sink quality, and clarify the carbon sink carrying capacity of each region under the predetermined time and space conditions; specifically, through the weight analysis and comprehensive scoring of various data, finally determine the carbon sink carrying capacity of coastal wetlands, estuaries and continental shelves; S3: Combine the carrying capacity assessment results specified in S2 with the spatiotemporal layers of various external influencing factors to conduct coupling analysis, evaluate the spatial coupling relationship between the carbon sink function of each region and external factors, and finally determine the carbon sink suitability of each region; The S3 specifically includes: S31: Acquire spatiotemporal layer data of various external influencing factors, wherein the external influencing factors include seawater temperature, salinity, ocean current rate, nutrient concentration and light intensity; S32: Couple the spatiotemporal layer data of external influencing factors in S31 with the carbon sink carrying capacity assessment results specified in S2, specifically including using spatial regression analysis methods to calculate the correlation between the carbon sink carrying capacity of each region and the external influencing factors; S33: Based on the results of spatial regression analysis in S32, evaluate the influence of various external factors on the carbon sink carrying capacity, and determine the spatial coupling relationship between the carbon sink function of each region and external factors by calculating the standardized regression coefficient to obtain the carbon sink suitability score of each region; S34: Comprehensively evaluate the carbon sink suitability scores of each region, and divide each region into high suitability, medium suitability and low suitability regions according to the set score threshold; the suitability score corresponding to the high suitability region is greater than the predetermined threshold, the score of the medium suitability region is between the threshold and, and the score of the low suitability region is lower than the threshold; S4: Based on the suitability assessment results in S3, the source-sink boundary of the carbon sink functional zone is delineated at the T1 level, and the strong sink area, weak sink area, weak source area and strong source area are determined; at the T2 level, the ecological boundary of the carbon sink functional zone is delineated, and the important and vulnerable areas of carbon sink function are determined; at the T3 level, based on the suitability assessment results, the boundary of the artificial sink suitable area and priority area is delineated; S5: Combine long-term time series data with real-time monitoring data to dynamically adjust the boundaries of the functional areas defined in S4; The S5 specifically includes: S51: Obtain long-term time series data and real-time monitoring data, including carbon sink carrying capacity data, carbon sink suitability data, and time series data of external influencing factors; S52: Perform trend analysis on the long time series data in S51, specifically using linear regression analysis or time series analysis methods to calculate the long-term change trend of carbon sink carrying capacity and suitability indicators in each region. The trend analysis formula is: in, represents the carbon sink carrying capacity trend of region i, α t is a constant term, β t is the trend coefficient in the time series, t is the time, ∈ t is the residual; S53: Combined with real-time monitoring data, evaluate the actual situation of each functional area. The monitoring data includes the carbon sink carrying capacity, carbon sink suitability and real-time changes of external influencing factors in the current area. The evaluation adopts exponential smoothing method for prediction and evaluation; The S53 specifically includes: S531: Based on the real-time monitoring data obtained, the exponential smoothing method is used to predict the short-term trend of carbon sink carrying capacity, carbon sink suitability and external influencing factors: the specific prediction formula includes: The formula for predicting carbon sink carrying capacity is: C t+1 =α×C t +(1-α)×C t-1 , where C t+1 is the predicted carbon sink carrying capacity at the next moment, C t is the carbon sink carrying capacity at the current moment, C t-1 is the carbon sink carrying capacity at the previous moment, α is the smoothing coefficient, and its value range is between 0 and 1; The prediction formula for carbon sink suitability is: t+1 =α×A t +(1-α)×A t-1 , where A t+1 is the predicted carbon sink suitability at the next moment, A t is the carbon sink suitability at the current moment, A t-1 is the carbon sink suitability at the previous moment, α is the smoothing coefficient; The prediction formula of external influencing factors is: T t+1 =α×T t +(1-α)×T t-1 , where T t+1 is the predicted temperature at the next moment, T t is the temperature at the current moment, T t-1 is the temperature at the previous moment, α is the smoothing coefficient; S532: Compare the results of the carbon sink carrying capacity, carbon sink suitability and external influencing factors predicted in S531 with the actual data at the current moment, evaluate the actual situation of each functional area and its short-term development trend, and provide a basis for the dynamic adjustment of the boundary in S54; S54: Based on the trend analysis results in S52 and the evaluation results of the real-time monitoring data in S53, the functional area boundaries defined in S4 are dynamically adjusted; the specific rules include: Rule 1: If the trend analysis shows that the carbon sink carrying capacity and suitability scores of a region continue to decline, and the real-time monitoring data verifies the trend, the functional area boundaries of the region will be adjusted accordingly, downgrading it from a high carrying area or priority area to a low carrying area or general suitability area; Rule 2: If the trend analysis shows that the carbon sink carrying capacity and suitability scores of a region are showing a significant upward trend, and the real-time monitoring data supports the upward trend, the functional area boundary of the region will be expanded or upgraded accordingly to a high carrying capacity area or priority area; After boundary adjustment, the adjustment results were verified using the ten-fold cross validation method; S6: Integrate the carbon sink accounting methods of coastal wetlands, estuaries, and shelf areas to form a high-precision carbon sink quantitative and spatial accounting method, conduct refined management of carbon sink functional areas, and compile a carbon storage-carbon flux balance list; The S6 specifically includes: S61: Integrate carbon sink accounting methods for coastal wetlands, estuaries and shelf areas; S62: Integrate the carbon sink accounting results of each region in S61 to form a high-precision carbon sink quantitative and spatial accounting method. Specifically, the total carbon sink of the entire region is calculated by weighted summing the carbon sinks of coastal wetlands, estuaries and shelf areas. The formula is: C total =δ1×C w1 +δ2×C e +δ3×C s2 , where C total represents the total carbon sink of the entire region, δ1, δ2 and δ3 are the weight coefficients of coastal wetlands, estuaries and shelf areas respectively, and C w1 represents the total carbon sink of coastal wetlands, C e represents the total carbon sink in the estuary area, C s2 represents the total carbon sink in the shelf area; S63: Prepare a carbon stock-carbon flux balance list by calculating the carbon stock and carbon flux of each functional area. The formula is: i =C total，i -∑F c，i , where B i represents the carbon budget result of functional area i, C total，i is the carbon storage of functional area i, ∑F c，i is all carbon fluxes in functional area i; and based on the carbon budget results, a carbon storage-carbon flux budget list of the functional area is compiled; S7: Formulate corresponding zoning management measures based on the carbon sink functional areas delineated in S4 and S5.

2. The method for dividing offshore carbon sink functional areas based on carrying capacity-suitability according to claim 1 is characterized in that: The S25 specifically includes: S251: Based on the standardized data, weights are assigned to carbon sink capacity and carbon sink quality respectively; S252: Score the carbon sink capacity and carbon sink quality of each region separately, including carbon sink capacity score and carbon sink quality score; S253: Comprehensive score, combining the carbon sink capacity score and carbon sink quality score obtained in S252, and calculating the comprehensive carbon sink carrying capacity score of each region by the following formula: S T =S C +S Q , where S T represents the comprehensive carbon sink carrying capacity score of the region, S C represents the carbon sink capacity score, S Q represents the carbon sink quality score; S254: Based on the comprehensive scoring results in S253, each region is divided into different carbon sink carrying capacity levels, and the scoring threshold T is set. H and T L , will score higher than T H The area is classified as high load-bearing capacity area, and the score is between T L and T H The area between is classified as medium load capacity area, with a score lower than T L The area is classified as low carrying capacity area.

3. The method for dividing offshore carbon sink functional areas based on carrying capacity-suitability according to claim 1 is characterized in that: The S4 specifically includes: S41: Under the T1 level, based on the carbon sink suitability assessment results in S3, the source-sink boundary of the carbon sink functional area is delineated, specifically based on the suitability score A i The distribution of carbon sink function zones is set, where the high suitability score threshold A is set. H1 and low suitability score threshold A L1 , when the suitability score of the region is A i Greater than A H1 When the score is between A L1 and A H1 When the score is between A and B, it is defined as a weak sink area; when the score is lower than A L1 When the carbon sink carrying capacity (C i ) is analyzed. When the bearing capacity value is lower than a certain threshold value C L When , it is defined as a strong source region, otherwise it is a weak source region; S42: At the T2 level, based on the carbon sink suitability assessment results and carbon sink carrying capacity assessment results in S3, the ecological boundaries of the carbon sink functional areas are delineated, and the carrying capacity threshold C of the important carbon sink functional areas is specifically set. H2 and the volatility threshold S of the vulnerable zone C , when the regional carbon sink carrying capacity C i Higher than C H2 , and volatility S C When the carrying capacity is lower than the preset threshold, it is designated as an important carbon sink area; when the carrying capacity is lower than C H2 , and volatility S C When it is higher than the preset threshold, it is designated as a carbon sink function vulnerable area; S43: At the T3 level, based on the suitability assessment results in S3, the boundaries of the artificial carbon sink suitable area and the priority area are delineated, specifically in combination with the carbon sink suitability score of the region. i and controllability factors, determine the suitable area for artificial sedimentation, and set the threshold A of the suitable area H3 , when the suitability score is A i Greater than A H3 When the area is demarcated as an area suitable for artificial carbon sinks, the regulation potential of external influencing factors is analyzed in the suitable area, and the regulation potential threshold P of the priority area is set. i , when the regulation potential of the region is higher than the threshold P i It is designated as a priority area for artificial carbon sequestration.

4. The method for dividing offshore carbon sink functional areas based on carrying capacity-suitability according to claim 1 is characterized in that: The S7 specifically includes: S71: According to the categories of carbon sink functional areas defined in S4 and S5, formulate corresponding zoning management measures, including: For strong sink areas, formulate protective management measures and strictly restrict human activities; For weak carbon sink areas, formulate restorative management measures to enhance carbon sink capacity through ecological restoration; For strong source areas, formulate emission reduction and control measures to limit or transform high-emission activities and slow the expansion of carbon sources; For areas with fragile carbon sink functions, implement adaptive management strategies to cope with environmental changes and enhance the region's resistance to environmental changes; For areas suitable for artificial carbon sink enhancement and priority areas, formulate implementation plans for carbon sink enhancement projects, select carbon sink enhancement technologies, and maximize regional carbon sink gains; S72: Based on the zoning management measures in S71 and combined with the carbon sink suitability score of each region, determine the areas where artificial carbon sink enhancement projects are implemented first; and evaluate the feasibility, economy and environmental impact of the carbon sink enhancement projects in each region, and formulate implementation plans, including the selection of carbon sink enhancement technologies, expected carbon sink benefits and risk control measures.

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