A method for controlling offshore carbon sink zoning based on refined carbon sink accounting

Abstract

The present invention discloses a method for controlling and managing offshore carbon sink zoning based on refined carbon sink accounting, which relates to the technical field of carbon sink accounting, and includes the following steps: collecting marine environmental data of offshore areas, analyzing and screening the marine environmental data, extracting carbon content data, sediment carbon storage data and environmental data for offshore carbon sink accounting, obtaining a carbon sink data set, pre-processing the carbon content data, sediment carbon storage data and environmental data, extracting correlation factors affecting carbon sink changes, and analyzing carbon sink change trends. The present invention constructs a dynamic monitoring and evaluation system, monitors offshore carbon sink changes in real time, and uses advanced remote sensing technology, marine observation networks and big data analysis technology to timely discover subtle differences in carbon sink distribution and change trends, and then predicts the change trend of carbon sinks in advance through model prediction, which helps to respond quickly when carbon sink resources are damaged or change abnormally, and take effective protection and management measures.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon sink accounting, and in particular to a method for offshore carbon sink zoning management and control based on refined carbon sink accounting. Background Art

[0002] Marine carbon sink refers to the absorption and storage of carbon dioxide from the atmosphere by the ocean through physical, chemical and biological processes. Carbon sink involves a variety of biological, chemical and physical processes, and plays a key role in mitigating global warming. As an area of ​​intensive human activity, changes in the carbon sink capacity of offshore areas directly affect the global carbon cycle and climate change. As the largest carbon sink on Earth, the ocean plays an important role in mitigating global climate change. Refined accounting of marine carbon sinks will help to more accurately assess and understand the ocean's response to climate change and provide a scientific basis for achieving the "dual carbon" goal. With the in-depth study of the carbon sink function of marine ecosystems, people have gradually realized the important role of offshore carbon sinks in carbon cycle and climate regulation. Therefore, refined accounting and application of offshore carbon sinks has become a hot topic in current research.

[0003] In the existing technology, offshore carbon sink accounting involves multiple regions and multiple data sources. These data are difficult to obtain, and the data format, accuracy and temporal and spatial resolution vary. The integration and processing are complex, and they are affected by multiple factors such as climate change and human activities. As a result, the existing zoning management and control methods are difficult to reflect these changes in real time. Therefore, how to establish a dynamic monitoring and evaluation system, monitor the changes in marine carbon sinks in real time, and predict the trend of carbon sink changes in advance is the problem we need to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a method for offshore carbon sink zoning management and control based on refined carbon sink accounting to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] The offshore carbon sink zoning control method based on refined carbon sink accounting includes the following steps:

[0007] Step 1: Collect marine environmental data in offshore areas, analyze and screen the marine environmental data, extract carbon content data, sediment carbon storage data and environmental data for offshore carbon sink accounting, and obtain a carbon sink data set;

[0008] Step 2: pre-process the carbon content data, sediment carbon storage data and environmental data, extract the correlation factors affecting carbon sink changes, and analyze the trend of carbon sink changes;

[0009] Step 3: Based on carbon content data, sediment carbon storage data and environmental data, a model for assessing offshore carbon sink capacity is constructed to assess the sources of uncertainty in the accounting process. Combined with the analysis results of carbon sink change trends, the functional area assessment coefficient is obtained to assess the carbon sink capacity and spatial distribution of different ecosystem types.

[0010] Step 4: Combine the functional area assessment coefficient and assessment report to divide different marine carbon sink functional areas, match the corresponding thresholds, analyze the characteristics and needs of each marine carbon sink functional area, and formulate corresponding control measures for monitoring and management;

[0011] Step 5: Implement corresponding management and control measures based on the determined marine carbon sink functional areas, continuously monitor changes in carbon sinks, regularly evaluate management and control measures, and adjust and optimize management and control measures based on the evaluation results.

[0012] A further improvement of the technical solution of the present invention is that the process of obtaining the carbon sink dataset is as follows:

[0013] Step 101, according to the research purpose and the required marine environment data types, the specific scope of the offshore area and the required offshore carbon sink accounting data types are clarified, wherein the offshore area includes coastal wetlands, estuaries and continental shelves, and the offshore carbon sink accounting data types are carbon content data, sediment carbon storage data and environmental data;

[0014] Step 102, using acquisition and observation equipment to conduct on-site sampling and observation, obtain real-time data, and combine aerial remote sensing technology to obtain large-scale, high-resolution image data to supplement the deficiencies of ground observations, and at the same time organize and analyze the database and obtain historical data therein;

[0015] Step 103, integrating data from different sources and types to form a carbon sink data set, and establishing a data management and access mechanism to perform classified storage, index retrieval, and backup and recovery on the data. The carbon sink data set includes carbon content data for offshore carbon sink accounting, sediment carbon storage data, and environmental data;

[0016] Step 104, perform quality control on the relevant data in the carbon sink dataset, and regularly update and maintain the data to ensure the timeliness and accuracy of the data.

[0017] A further improvement of the technical solution of the present invention is that the analysis process of the carbon sink change trend is:

[0018] Step 201, classify and sort the associated data in the carbon sink data set, and pre-process the carbon content data, sediment carbon storage data and environmental data of the carbon sink data set, the pre-processing includes data cleaning, data conversion and data segmentation;

[0019] Step 202, collect surface water samples from offshore areas, and record basic information such as sampling time, location, and water depth. Combined with the preprocessed carbon sink data set, analyze the dissolved organic carbon, dissolved inorganic carbon, and particulate organic carbon content in the surface water samples, calculate the carbon content assessment coefficient, and evaluate its spatiotemporal variation characteristics.

[0020] Step 203, analyzing the content of organic carbon and inorganic carbon in offshore sediments, the sedimentation rate and distribution characteristics of sediments based on the pre-processed sediment carbon storage data, obtaining the sediment carbon storage coefficient, and analyzing the carbon content of offshore sediments to evaluate their spatial distribution characteristics;

[0021] Step 204, analyzing the ocean surface water quality parameters and the status of plankton and carbon fixation capacity according to the pre-processed environmental data, obtaining an environmental assessment coefficient, evaluating the correlation between the environmental assessment coefficient and the carbon content and sediment carbon storage, and analyzing the carbon cycle status, wherein the water quality parameters include water temperature, salinity, dissolved oxygen, pH value, and nutrient concentration;

[0022] Step 205, combining the carbon content assessment coefficient, the sediment carbon storage coefficient and the environmental assessment coefficient, analyzes the changing trend of the offshore carbon sink accounting, reflects the variability and stability of the carbon content in the surface water samples based on the carbon content assessment coefficient, reflects the storage capacity of carbon in the sediments based on the sediment carbon storage coefficient, and reflects the impact of environmental factors on the carbon sink process based on the environmental assessment coefficient.

[0023] A further improvement of the technical solution of the present invention is that the calculation formula of the carbon content evaluation coefficient is:

[0024]

[0025] Among them, CCA is the carbon content assessment coefficient, C i is the carbon content measured for the i-th time, μ is the standard value of carbon content, n is the number of measurements, ω i is the weight coefficient associated with the i-th measurement, is the average value of carbon content, M1(C) is the maximum value of carbon content, M2(C) is the minimum value of carbon content, SD(C) is the standard deviation of carbon content, γ is an exponential parameter used to adjust the influence of the ratio of carbon content variation range to the average value, β is a positive decay rate parameter used to adjust the influence of standard deviation on carbon content coefficient;

[0026] The calculation formula of the sediment carbon storage coefficient is:

[0027]

[0028] Where SCC is the sediment carbon storage coefficient, C ois the deposited carbon content of the oth sample, a is the number of samples, R s，o is the deposition rate of the oth sample, P d，o is the dry density of the oth sample, Std(C) is the standard deviation of the deposited carbon content, Max(C) is the maximum value of the deposited carbon content, Min(C) is the minimum value of the deposited carbon content, Avg(C) is the average value of the deposited carbon content, λ is a positive constant used to adjust the influence of the limit function, E o (x) is an exponential integral function;

[0029] The calculation formula of the environmental assessment coefficient is:

[0030]

[0031] Where EAC is the environmental assessment coefficient, b is the total number of water temperature samples, T q is the water temperature of the qth sample, S j is the salinity of the jth sample, m is the total number of salinity samples, DO is the dissolved oxygen concentration, pH is the pH value, NO3 is the nitrate concentration, PO4 is the phosphate concentration, and FCI is the phytoplankton biomass; the formula It is used to indicate the influence of water temperature on the environmental coefficient. The higher the water temperature, the smaller the value of this part. The formula It is used to indicate the effect of salinity on the environmental coefficient. The higher the salinity, the larger the value of this part. It reflects the comprehensive impact of the chemical properties of water quality on environmental coefficients.

[0032] A further improvement of the technical solution of the present invention is that the process of evaluating the carbon sink and spatial distribution of different ecosystem types is as follows:

[0033] Step 301, integrating the carbon content data, sediment carbon storage data and associated data in the preprocessed carbon sink data set to form a unified data set;

[0034] Step 302, extracting key features from the data set, and using the extracted features to construct an offshore carbon sink capacity assessment model;

[0035] Step 303, dividing the data set into a training set, a validation set and a test set, using the training set data to train the offshore carbon sink capacity assessment model, using the validation set and the test set to verify the trained offshore carbon sink capacity assessment model, based on the trained offshore carbon sink capacity assessment model, calculating the total carbon storage, organic carbon storage, inorganic carbon storage, etc., as well as carbon input flux and carbon output flux of each offshore area, and evaluating the net change of carbon sink, outputting the net change result, obtaining the functional area assessment coefficient, and outputting the assessment report;

[0036] Step 304, calculate the carbon sink amounts of different ecosystem types according to the assessment report, and display the carbon sink amounts of different ecosystem types and their spatial distribution in the form of charts.

[0037] A further improvement of the technical solution of the present invention is that the calculation formula of the functional area evaluation coefficient is:

[0038]

[0039] Among them, FAC is the functional area assessment coefficient, CCA h is the carbon content evaluation coefficient of the hth data point, SCC h is the sediment carbon storage coefficient of the hth data point, EAC h is the environmental assessment coefficient of the hth data point, x is the total number of data points, is the average of the environmental assessment coefficients, α and δ are model parameters, exp is the natural exponential function, and when the values ​​of CCA, SCC, and EAC are high, EAC will also be correspondingly high, indicating that the carbon sequestration capacity of the functional area is strong.

[0040] A further improvement of the technical solution of the present invention is that the process of formulating corresponding control measures for monitoring and management is:

[0041] Step 401, dividing the offshore area into high carbon sink potential area, medium carbon sink potential area, and low carbon sink potential area according to the carbon sink amount, carbon input flux, carbon output flux, and carbon sink net change of each area, and setting corresponding thresholds for each functional area based on the evaluation report of the functional area evaluation coefficient;

[0042] Step 402, analyzing the characteristics of each marine carbon sink functional area, identifying the role of each marine carbon sink functional area in the carbon cycle, and evaluating the protection and management needs of each functional area, and establishing corresponding control measures including the establishment of marine protected areas, restrictions on fishery activities, pollution emission control, and ecological restoration projects;

[0043] Step 403, using the offshore carbon sink capacity assessment model, evaluate each control measure individually, analyze its direct and indirect impact on carbon sinks, and evaluate the synergy and potential conflicts between different measures;

[0044] Step 404, establish a long-term monitoring mechanism, regularly evaluate the effectiveness of control measures, and make adjustments based on feedback.

[0045] A further improvement of the technical solution of the present invention is that: the corresponding threshold value is set for each functional area as:

[0046] High carbon sink potential area: FAC>T1;

[0047] Medium carbon sink potential area: T2≤FAC≤T1;

[0048] Low carbon sink potential area: FAC<T2.

[0049] A further improvement of the technical solution of the present invention is that the process of adjusting and optimizing the control measures according to the evaluation results is:

[0050] Step 501, based on the division and assessment results of marine carbon sink functional zones, formulate specific control measures for each zone, including restricting development activities, establishing marine protected areas, implementing fishery quota management, etc.;

[0051] Step 502, set up fixed monitoring stations in each marine carbon sink functional area, select the monitoring stations at representative locations, cover areas with different ecosystems and environmental conditions, select key indicators of carbon sink, carbon input flux, and carbon output flux for monitoring, and formulate different monitoring cycles;

[0052] Step 503: Use the offshore carbon sink capacity assessment model to regularly analyze and assess key indicators of carbon sink, carbon input flux, and carbon output flux, and output the assessment results, which include information on changes in carbon sink capacity of each functional area, ecosystem health status, and the degree of impact of human activities.

[0053] Step 504: Propose specific adjustment plans and optimization suggestions based on the evaluation results.

[0054] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0055] 1. The present invention provides a near-shore carbon sink zoning management and control method based on refined carbon sink accounting. By building a dynamic monitoring and evaluation system, real-time monitoring of near-shore carbon sink changes is carried out. Advanced remote sensing technology, ocean observation networks and big data analysis technology are used to timely discover subtle differences in carbon sink distribution and change trends. Then, the changing trends of carbon sinks are predicted in advance through model prediction, which helps to respond quickly when carbon sink resources are damaged or change abnormally, and take effective protection and management measures.

[0056] 2. The present invention provides a near-shore carbon sink zoning control method based on refined carbon sink accounting. By conducting a detailed quantitative analysis of carbon reserves and carbon fluxes in the near-shore area, the accuracy of carbon sink accounting can be improved, and high-resolution monitoring data and advanced models can be used to accurately evaluate the carbon fixation capacity of different marine ecosystems. In addition, refined accounting can also help identify and quantify uncertainties in the carbon sink process, thereby improving the reliability of the data.

[0057] 3. The present invention provides a near-shore carbon sink zoning management and control method based on refined carbon sink accounting. By developing unified data conversion and standardization tools, it simplifies the data processing process, improves the efficiency of data processing, and ensures the accuracy and consistency of the data, laying a solid foundation for subsequent dynamic monitoring and evaluation of carbon sinks.

[0058] 4. The present invention provides a method for offshore carbon sink zoning control based on refined carbon sink accounting. The offshore carbon sink zoning control method provides a clear direction for the protection and management of marine ecosystems by identifying areas with high carbon sink potential. By dividing the marine area into different functional areas and formulating corresponding protection measures according to the carbon sink capacity of each area, the health of the marine ecosystem can be more effectively protected and restored. It helps to maintain biodiversity, prevent ecosystem degradation, and ensure that the marine ecosystem can continue to provide ecological services such as carbon sinks. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0060] Figure 1 is a flow chart of the method of the present invention;

[0061] Figure 2 A flow chart for obtaining the carbon content assessment coefficient, the sediment carbon storage coefficient and the environmental assessment coefficient of the present invention;

[0062] Figure 3 The figure is a flow chart for obtaining the functional area evaluation coefficient of the present invention. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] Embodiment 1, as Figure 1-3 As shown, the present invention provides a method for controlling offshore carbon sink zoning based on refined carbon sink accounting, comprising the following steps:

[0065] Step 1: Collect marine environmental data in offshore areas, analyze and screen the marine environmental data, extract carbon content data, sediment carbon storage data and environmental data for offshore carbon sink accounting, and obtain carbon sink data sets. The process of obtaining carbon sink data sets is as follows: according to the research purpose and the required marine environmental data types, clarify the specific scope of the offshore area and the required offshore carbon sink accounting data types. The offshore area includes coastal wetlands, estuaries and continental shelves. The offshore carbon sink accounting data types are carbon content data, sediment carbon storage data and environmental data. Use collection and observation equipment, such as temperature and salinity depth meters, chlorophyll fluorometers, underwater cameras, etc., to conduct on-site sampling and observation to obtain real-time data, and combine them with Aerial remote sensing technology, such as drones and satellite images, can be used to obtain large-scale, high-resolution image data to supplement the deficiencies of ground observations. At the same time, the database can be collated and analyzed, and historical data can be obtained. Data from different sources and types can be integrated to form a carbon sink data set. A data management and access mechanism can be established to ensure data security and compliance. Data can be stored in categories, indexed, retrieved, and backed up and restored. The carbon sink data set includes carbon content data for offshore carbon sink accounting, sediment carbon storage data, and environmental data. Quality control is performed on relevant data in the carbon sink data set to assess the accuracy, completeness, and reliability of the data. Data can be updated and maintained regularly to ensure the timeliness and accuracy of the data.

[0066] Step 2: Preprocess the carbon content data, sediment carbon storage data, and environmental data, extract the correlation factors affecting carbon sink changes, and analyze the trend of carbon sink changes. The analysis process of carbon sink change trends is as follows: classify and organize the correlation data in the carbon sink data set, and preprocess the carbon content data, sediment carbon storage data, and environmental data of the carbon sink data set. The preprocessing includes data cleaning, data conversion, and data segmentation. Collect surface water samples from offshore areas and record basic information such as sampling time, location, and water depth. Combined with the preprocessed carbon sink data set, analyze the dissolved organic carbon, dissolved inorganic carbon, and particulate organic carbon content in the surface water samples, calculate the carbon content assessment coefficient, and evaluate its spatiotemporal variation characteristics. According to the preprocessed sediment carbon storage data, analyze the content of organic carbon and inorganic carbon in offshore sediments, the deposition of sediments, and the content of organic carbon in the sediments. The rate and its distribution characteristics are used to obtain the sediment carbon storage coefficient, and the carbon content of offshore sediments is analyzed to evaluate its spatial distribution characteristics. Based on the pre-processed environmental data, the ocean surface water quality parameters and the status of plankton and carbon fixation capacity are analyzed to obtain the environmental assessment coefficient. The correlation between the environmental assessment coefficient and the carbon content and sediment carbon storage is evaluated, and the carbon cycle state is analyzed. The water quality parameters include water temperature, salinity, dissolved oxygen, pH value, and nutrient concentration. Combined with the carbon content assessment coefficient, the sediment carbon storage coefficient and the environmental assessment coefficient, the trend of offshore carbon sink accounting is analyzed. According to the carbon content assessment coefficient, the variability and stability of the carbon content in the surface water samples are reflected. According to the sediment carbon storage coefficient, the carbon storage capacity in the sediment is reflected. According to the environmental assessment coefficient, the impact of environmental factors on the carbon sink process is reflected.

[0067] The calculation formula for the carbon content assessment coefficient is:

[0068]

[0069] Among them, CCA is the carbon content assessment coefficient, C i is the carbon content measured for the i-th time, μ is the standard value of carbon content, n is the number of measurements, ω i is the weight coefficient associated with the i-th measurement, is the average value of carbon content, M1(C) is the maximum value of carbon content, M2(C) is the minimum value of carbon content, SD(C) is the standard deviation of carbon content, γ is an exponential parameter used to adjust the influence of the ratio of carbon content variation range to the average value, β is a positive decay rate parameter used to adjust the influence of standard deviation on carbon content coefficient;

[0070] The calculation formula of sediment carbon storage coefficient is:

[0071]

[0072] Where SCC is the sediment carbon storage coefficient, Co is the deposited carbon content of the oth sample, a is the number of samples, R s，o is the deposition rate of the oth sample, P d，o is the dry density of the oth sample, Std(C) is the standard deviation of the deposited carbon content, Max(C) is the maximum value of the deposited carbon content, Min(C) is the minimum value of the deposited carbon content, Avg(C) is the average value of the deposited carbon content, λ is a positive constant used to adjust the influence of the limit function, E o (x) is an exponential integral function;

[0073] The calculation formula of the environmental assessment coefficient is:

[0074]

[0075] Where EAC is the environmental assessment coefficient, b is the total number of water temperature samples, T q is the water temperature of the qth sample, S j is the salinity of the jth sample, m is the total number of salinity samples, DO is the dissolved oxygen concentration, pH is the pH value, NO3 is the nitrate concentration, PO4 is the phosphate concentration, and FCI is the phytoplankton biomass; the formula It is used to indicate the influence of water temperature on the environmental coefficient. The higher the water temperature, the smaller the value of this part. The formula It is used to indicate the effect of salinity on the environmental coefficient. The higher the salinity, the larger the value of this part. It reflects the comprehensive impact of the chemical characteristics of water quality on environmental coefficients;

[0076] Step 3: Based on the carbon content data, sediment carbon storage data and environmental data, a model for evaluating the offshore carbon sink capacity is constructed to evaluate the sources of uncertainty in the accounting process, and combined with the analysis results of the carbon sink change trend, the functional area evaluation coefficient is obtained to evaluate the carbon sink amount and its spatial distribution of different ecosystem types. The process of evaluating the carbon sink amount and its spatial distribution of different ecosystem types is as follows: the carbon content data, sediment carbon storage data and related data in the pre-processed carbon sink data set are integrated to form a unified data set, and the key features in the data set are extracted, such as the mean value, standard deviation of carbon content, sediment carbon storage, and statistical values ​​of environmental parameters. The extracted features are used to construct a model for evaluating the offshore carbon sink capacity. Divide into training set, validation set and test set, use the training set data to train the offshore carbon sink capacity assessment model, use the validation set and test set to verify the trained offshore carbon sink capacity assessment model, and calculate the total carbon storage, organic carbon storage, inorganic carbon storage, etc., as well as carbon input flux and carbon output flux of each offshore area based on the trained offshore carbon sink capacity assessment model, and evaluate the net change of carbon sink, output the net change result, and obtain the functional area assessment coefficient at the same time, and output the assessment report; carbon input flux such as photosynthesis, river input, etc., carbon output flux such as respiration, ocean output, etc., calculate the carbon sink of different ecosystem types according to the assessment report, and display the carbon sink of different ecosystem types and their spatial distribution in the form of charts;

[0077] The calculation formula of the functional area evaluation coefficient is:

[0078]

[0079] Among them, FAC is the functional area assessment coefficient, CCA h is the carbon content evaluation coefficient of the hth data point, SCC h is the sediment carbon storage coefficient of the hth data point, EAC h is the environmental assessment coefficient of the hth data point, x is the total number of data points, is the average of the environmental assessment coefficients, α and δ are model parameters, and exp is a natural exponential function. When the values ​​of CCA, SCC, and EAC are high, EAC will also be correspondingly high, indicating that the carbon sequestration capacity of the functional area is strong;

[0080] Step 4: Combine the functional area assessment coefficient and assessment report to divide different marine carbon sink functional areas, match the corresponding thresholds, analyze the characteristics and needs of each marine carbon sink functional area, formulate corresponding management and control measures for monitoring and management, and divide the offshore area into high carbon sink potential area, medium carbon sink potential area, and low carbon sink potential area according to the carbon sink amount, carbon input flux, carbon output flux and net change of carbon sink in each region. Set corresponding thresholds for each functional area based on the assessment report of the functional area assessment coefficient; analyze the characteristics of each marine carbon sink functional area, identify the role of each marine carbon sink functional area in the carbon cycle, such as carbon storage, carbon fixation, carbon release, etc., and evaluate the protection and management needs of each functional area, and establish corresponding management and control measures; measures may include the establishment of marine protected areas, restrictions on fishery activities, pollution emission control, ecological restoration projects, etc. Among them, high carbon sink potential areas: strengthen protection, limit development activities, maintain biodiversity, and promote the continuous enhancement of carbon sink capacity; medium carbon sink potential areas: reasonable management, balance development and protection, monitor carbon sink changes, and adjust management strategies in a timely manner; low carbon sink potential areas: comprehensive management, improve environmental quality, restore ecosystem functions, and enhance carbon sink potential; ecologically sensitive areas: strict protection, prohibit destructive activities, establish ecological buffer zones, and strengthen ecological restoration; areas with intensive human activities: optimize activity layout, reduce carbon emissions, promote low-carbon technologies, and promote green development. Use the offshore carbon sink capacity assessment model to evaluate each control measure separately, analyze its direct and indirect impacts on carbon sinks, and evaluate the synergy and potential conflicts between different measures. Establish a long-term monitoring mechanism, regularly evaluate the effectiveness of control measures, and make adjustments based on feedback;

[0081] The corresponding thresholds are set for each functional area:

[0082] High carbon sink potential area: FAC>T1;

[0083] Medium carbon sink potential area: T2≤FAC≤T1;

[0084] Low carbon sink potential area: FAC<T2;

[0085] Step 5. Implement corresponding control measures according to the determined marine carbon sink functional areas, continuously monitor changes in carbon sinks, regularly evaluate control measures, and adjust and optimize control measures based on the evaluation results. The process of adjusting and optimizing control measures based on the evaluation results is as follows: According to the division and evaluation results of marine carbon sink functional areas, formulate specific control measures for each area. Measures include restricting development activities, establishing marine protected areas, implementing fishery quota management, etc. Fixed monitoring stations are set up in each marine carbon sink functional area. The monitoring stations are selected in representative locations, such as ecosystem boundaries, areas with significant changes in carbon sinks, etc., covering areas with different ecosystems and environmental conditions. Key indicators such as carbon sink, carbon input flux, and carbon output flux are selected for monitoring, and Establish different monitoring cycles, and use the offshore carbon sink capacity assessment model to regularly analyze and evaluate the key indicators of carbon sink volume, carbon input flux, and carbon output flux, and output the assessment results; the assessment results include information on changes in carbon sink capacity of each functional area, ecosystem health, and the degree of impact of human activities. Based on the assessment results, put forward specific adjustment plans and optimization suggestions. For areas with high carbon sink potential, if the carbon sink capacity is found to have declined, protection and management measures should be further strengthened, such as expanding the scope of marine protected areas and strengthening efforts. For areas with medium carbon sink potential, attention should be paid to the coordinated development of ecosystem balance and carbon sink capacity, and fishery management and ecological restoration measures should be optimized. For areas with low carbon sink potential, the focus should be on implementing pollution control and ecological restoration projects to enhance carbon sink capacity.

[0086] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for controlling offshore carbon sink zoning based on refined carbon sink accounting, characterized by: The following steps are involved: Step 1: Collect marine environmental data of offshore areas, analyze and screen the marine environmental data, extract carbon content data, sediment carbon storage data and environmental data for offshore carbon sink accounting, and obtain a carbon sink data set. The process of obtaining the carbon sink data set is as follows: Step 101, according to the research purpose and the required marine environment data types, the specific scope of the offshore area and the required offshore carbon sink accounting data types are clarified, wherein the offshore area includes coastal wetlands, estuaries and continental shelves, and the offshore carbon sink accounting data types are carbon content data, sediment carbon storage data and environmental data; Step 102, using acquisition and observation equipment to conduct on-site sampling and observation, obtain real-time data, and combine aerial remote sensing technology to obtain large-scale, high-resolution image data to supplement the deficiencies of ground observations, and at the same time organize and analyze the database and obtain historical data therein; Step 103, integrating data from different sources and types to form a carbon sink data set, and establishing a data management and access mechanism to perform classified storage, index retrieval, and backup and recovery on the data. The carbon sink data set includes carbon content data for offshore carbon sink accounting, sediment carbon storage data, and environmental data; Step 104, perform quality control on the relevant data in the carbon sink dataset, and regularly update and maintain the data; Step 2: pre-process the carbon content data, sediment carbon storage data and environmental data, extract the correlation factors affecting carbon sink changes, and analyze the trend of carbon sink changes. The analysis process of the carbon sink change trend is as follows: Step 201, classify and sort the associated data in the carbon sink data set, and pre-process the carbon content data, sediment carbon storage data and environmental data of the carbon sink data set; Step 202, collecting surface water samples from offshore areas, combining the preprocessed carbon sink data set, analyzing the dissolved organic carbon, dissolved inorganic carbon and particulate organic carbon content in the surface water samples, calculating the carbon content assessment coefficient, and evaluating its spatiotemporal variation characteristics; Step 203, analyzing the content of organic carbon and inorganic carbon in offshore sediments, the sedimentation rate and distribution characteristics of sediments based on the pre-processed sediment carbon storage data, obtaining the sediment carbon storage coefficient, and analyzing the carbon content of offshore sediments to evaluate their spatial distribution characteristics; Step 204, analyzing the ocean surface water quality parameters and the status of plankton and carbon fixation capacity based on the pre-processed environmental data, obtaining an environmental assessment coefficient, evaluating the correlation between the environmental assessment coefficient and the carbon content and sediment carbon storage, and analyzing the carbon cycle status; Step 205, analyzing the changing trend of offshore carbon sink accounting by combining the carbon content assessment coefficient, the sediment carbon storage coefficient and the environmental assessment coefficient; Step 3: Based on carbon content data, sediment carbon storage data and environmental data, a model for evaluating offshore carbon sink capacity is constructed to evaluate the sources of uncertainty in the accounting process. Combined with the analysis results of carbon sink change trends, the functional area evaluation coefficient is obtained to evaluate the carbon sink amount and spatial distribution of different ecosystem types. The calculation formula of the carbon content evaluation coefficient is: Among them, CCA is the carbon content assessment coefficient, C i is the carbon content measured for the i-th time, μ is the standard value of carbon content, n is the number of measurements, ω i is the weight coefficient associated with the i-th measurement, is the average value of carbon content, M1(C) is the maximum value of carbon content, M2(C) is the minimum value of carbon content, SD(C) is the standard deviation of carbon content, γ is an exponential parameter, and β is a positive decay rate parameter used to adjust the influence of standard deviation on carbon content coefficient; The calculation formula of the sediment carbon storage coefficient is: Where SCC is the sediment carbon storage coefficient, C o is the deposited carbon content of the oth sample, a is the number of samples, R s,o is the deposition rate of the oth sample, P d,o is the dry density of the oth sample, Std(C) is the standard deviation of the deposited carbon content, Max(C) is the maximum value of the deposited carbon content, Min(C) is the minimum value of the deposited carbon content, Avg(C) is the average value of the deposited carbon content, and λ is a positive constant; The calculation formula of the environmental assessment coefficient is: Where EAC is the environmental assessment coefficient, b is the total number of water temperature samples, T q is the water temperature of the qth sample, S j is the salinity of the jth sample, m is the total number of salinity samples, DO is the dissolved oxygen concentration, pH is the pH value, NO3 is the nitrate concentration, PO4 is the phosphate concentration, and FCI is the phytoplankton biomass; Step 4: Combine the functional area assessment coefficient and assessment report to divide different marine carbon sink functional areas, match the corresponding thresholds, analyze the characteristics and needs of each marine carbon sink functional area, and formulate corresponding control measures for monitoring and management; Step 5: Implement corresponding management and control measures based on the determined marine carbon sink functional areas, continuously monitor changes in carbon sinks, regularly evaluate management and control measures, and adjust and optimize management and control measures based on the evaluation results.

2. The offshore carbon sink zoning management and control method based on refined carbon sink accounting according to claim 1 is characterized by: The process of assessing carbon sequestration and its spatial distribution in different ecosystem types is as follows: Step 301, integrating the carbon content data, sediment carbon storage data and associated data in the preprocessed carbon sink data set to form a unified data set; Step 302, extracting key features from the data set, and using the extracted features to construct an offshore carbon sink capacity assessment model; Step 303, dividing the data set into a training set, a validation set and a test set, using the training set data to train the offshore carbon sink capacity assessment model, using the validation set and the test set to verify the trained offshore carbon sink capacity assessment model, based on the trained offshore carbon sink capacity assessment model, calculating the total carbon storage, organic carbon storage, inorganic carbon storage, carbon input flux and carbon output flux of each offshore area, and evaluating the net change of carbon sink, outputting the net change result, obtaining the functional area assessment coefficient, and outputting the assessment report; Step 304, calculate the carbon sink amounts of different ecosystem types according to the assessment report, and display the carbon sink amounts of different ecosystem types and their spatial distribution in the form of charts.

3. The offshore carbon sink zoning management and control method based on refined carbon sink accounting according to claim 2 is characterized by: The calculation formula of the functional area evaluation coefficient is: Among them, FAC is the functional area assessment coefficient, CCA h is the carbon content evaluation coefficient of the hth data point, SCC h is the sediment carbon storage coefficient of the hth data point, EAC h is the environmental assessment coefficient of the hth data point, x is the total number of data points, is the average of the environmental assessment coefficients, α and δ are model parameters, and exp is the natural exponential function.

4. The offshore carbon sink zoning management and control method based on refined carbon sink accounting according to claim 3 is characterized by: The process of formulating corresponding control measures for monitoring and management is as follows: Step 401, dividing the offshore area into high carbon sink potential area, medium carbon sink potential area, and low carbon sink potential area according to the carbon sink amount, carbon input flux, carbon output flux, and carbon sink net change of each area, and setting corresponding thresholds for each functional area based on the evaluation report of the functional area evaluation coefficient; Step 402, analyzing the characteristics of each marine carbon sink functional area, identifying the role of each marine carbon sink functional area in the carbon cycle, evaluating the protection and management needs of each functional area, and establishing corresponding control measures; Step 403, using the offshore carbon sink capacity assessment model, evaluate each control measure individually, analyze its direct and indirect impact on carbon sinks, and evaluate the synergy and potential conflicts between different measures; Step 404, establish a long-term monitoring mechanism, regularly evaluate the effectiveness of control measures, and make adjustments based on feedback.

5. The offshore carbon sink zoning management and control method based on refined carbon sink accounting according to claim 4 is characterized by: The corresponding thresholds are set for each functional area as follows: High carbon sink potential area: FAC>T1; Medium carbon sink potential area: T2≤FAC≤T1; Low carbon sink potential area: FAC <T2。 6. The offshore carbon sink zoning management and control method based on refined carbon sink accounting according to claim 5 is characterized by: The process of adjusting and optimizing control measures based on the evaluation results is as follows: Step 501, based on the division and assessment results of the marine carbon sink functional zones, formulate specific control measures for each zone; Step 502, set up fixed monitoring stations in each marine carbon sink functional area, covering areas with different ecosystems and environmental conditions, select key indicators of carbon sink, carbon input flux, and carbon output flux for monitoring, and formulate different monitoring cycles; Step 503, using the offshore carbon sink capacity assessment model to regularly analyze and assess key indicators of carbon sink volume, carbon input flux, and carbon output flux, and output the assessment results; Step 504: Propose specific adjustment plans and optimization suggestions based on the evaluation results.

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