A carbon storage assessment-based island carbon sink data investigation system and method

Abstract

The present application relates to the technical field of marine ecological environment monitoring and carbon sink evaluation, in particular to a kind of island carbon sink data investigation system and method based on carbon storage evaluation, including island habitat basic data acquisition module, dynamic carbon storage monitoring module, carbon sink capacity quantification module, carbon sink potential mapping module and sink-increasing decision output module;Among them: island habitat basic data acquisition module: for synchronously obtaining island terrestrial vegetation distribution, seaweed bed boundary coordinates and seaweed field biomass information;Dynamic carbon storage monitoring module: for simulating island actual illumination, salinity and water flow conditions, determining carbon storage value at each growth stage;Carbon sink capacity quantification module: generate island annual carbon sink capacity quantification table.The present application, through land-sea integration dynamic monitoring and quantitative evaluation, realizes the complete and accurate calculation of island multi-source carbon sink and outputs sink-increasing decision scheme with cost-benefit comparison.

Description

Technical Field

[0001] This invention relates to the field of marine ecological environment monitoring and carbon sink assessment technology, and in particular to a carbon sink data survey system and method for islands based on carbon storage assessment. Background Technology

[0002] With the goals of "carbon peaking" and "carbon neutrality" being proposed, blue carbon ecosystems are playing an increasingly crucial role in global climate governance. As important carbon sink resources such as seagrass beds, kelp fields, and coastal sedimentary zones, island regions' carbon fixation and storage capacity directly affects regional carbon balance and ecological security.

[0003] However, due to the complex and variable ecological environment of islands, different carbon sink elements exhibit significant differences in spatial distribution, biological activity, and sedimentation conditions. Current methods for investigating the carbon sink capacity of island regions mainly rely on static single-point monitoring or short-term sample statistics, lacking dynamic tracking and systematic evaluation of multi-source carbon sink processes. This makes it difficult to meet the needs of large-scale carbon storage potential assessment and scientific carbon sink enhancement. Therefore, there is an urgent need to propose a carbon sink data survey system and method based on carbon storage assessment for islands to address the aforementioned problems. Summary of the Invention

[0004] To achieve the above objectives, the present invention provides a system and method for investigating island carbon sink data based on carbon storage assessment.

[0005] A carbon sink data survey system for islands based on carbon storage assessment includes a basic island habitat data acquisition module, a dynamic carbon storage monitoring module, a carbon sink capacity quantification module, a carbon sink potential mapping module, and a carbon sink enhancement decision output module; wherein: Island Habitat Basic Data Acquisition Module: Used to synchronously acquire information on the distribution of terrestrial vegetation on islands, seagrass bed boundary coordinates, and seaweed biomass, and generate a basic dataset of carbon sink resources; Dynamic carbon storage monitoring module: It is used to receive the basic dataset of carbon sink resources, simulate the actual light, salinity and water flow conditions of the island through an indoor full growth cycle cultivation device, sample seagrass and algae in stages, measure the carbon storage value at each growth stage, and generate a dynamic carbon storage change sequence. Carbon sequestration capacity quantification module: Based on the dynamic carbon storage change sequence, combined with sediment core sampling data and radiocarbon isotope measurement results from island waters, the module calculates sediment carbon storage and sedimentation rate, and spatiotemporally correlates the dynamic carbon storage of seagrass and algae with sediment carbon sequestration data to generate an annual carbon sequestration capacity quantification table for islands. Carbon sink potential mapping module: Receives the annual carbon sink capacity quantification table, classifies the carbon sink potential of different areas of the island through the habitat transformation parameter library, and generates a carbon sink potential spatial distribution map and priority partition table. Carbon sequestration decision output module: Based on the spatial distribution map of carbon sequestration potential and the priority partitioning table, it outputs a decision report that includes carbon sequestration technology paths, implementation costs, and expected carbon sequestration gains.

[0006] Optionally, the island habitat basic data acquisition module includes a remote sensing vegetation identification unit, a seagrass bed boundary mapping unit, and a seaweed biomass monitoring unit; wherein: Remote sensing vegetation identification unit: used to acquire high-resolution multispectral remote sensing images of island land areas, identify and label different vegetation types in the images, extract the spatial distribution boundaries and coverage of terrestrial vegetation, and output terrestrial vegetation distribution layer; Seagrass bed boundary mapping unit: Based on underwater optical remote sensing images and measured latitude and longitude coordinates, the actual boundary contour of the seagrass bed is identified through image segmentation and boundary vectorization, and a boundary coordinate dataset with spatial geographic information is generated. Seaweed biomass monitoring unit: used to set up fixed monitoring transects, carry out stratified harvesting and wet weight measurement in seaweed growth areas, calculate the total biomass value of the corresponding seaweed farm based on the sampling data per unit area, perform gridded distribution interpolation, and output seaweed biomass information layer.

[0007] Optionally, the dynamic carbon storage monitoring module includes an environmental condition simulation unit, a phased sampling unit, and a carbon storage measurement unit; wherein: Environmental Condition Simulation Unit: This unit is used to construct a top light source device that combines metal halide lamps and cold light LEDs. By adjusting the light intensity and light cycle, it simulates the light changes between day and night. Sodium chloride, magnesium chloride, and sodium bicarbonate are added to the culture tank to prepare isotonic synthetic seawater, and the salinity is controlled within the simulated range. By setting up a lateral circulating water pump and an adjustable flow device, a constant flow velocity and direction are maintained in the tank, thus simulating the nearshore flow velocity environment of the island. Staged sampling unit: Used to periodically sample seagrass and algae samples in the culture tank according to preset growth time nodes. The sampling time interval covers the germination period, growth period and maturity period, and records the growth status and biomass changes of the samples according to a unified standard. Carbon storage determination unit: used to determine the total carbon content of samples collected at each stage after drying. It uses a carbon, hydrogen and nitrogen analyzer to obtain the carbon storage value per unit dry mass, and calculates the total carbon storage value at each time point by combining the stage biomass data, and outputs the dynamic carbon storage change sequence in time series.

[0008] Optionally, the carbon storage measurement unit includes: Dry weight determination subunit: This unit is used to continuously dry the seaweed and algae samples obtained from the phased sampling unit in an 80℃ constant temperature drying oven until constant weight, and then measure the dry weight of each sample one by one using an electronic balance and record it as dry weight data. Carbon content determination subunit: After grinding and mixing the dried samples, the carbon content percentage of each sample is determined using a carbon, hydrogen and nitrogen analyzer to obtain the carbon content data per unit mass of the samples at each stage. Carbon storage calculation subunit: used to calculate the total carbon storage value of samples at each time point by combining dry mass data and carbon content per unit mass data. ; Dynamic sequence output sub-unit: used to arrange the total carbon storage value of all time points in the order of growth cycle, form a dynamic carbon storage change sequence, and record it as a time series table.

[0009] Optionally, the carbon sequestration capacity quantification module includes a sediment carbon storage calculation unit, a sedimentation rate analysis unit, a carbon sequestration data spatiotemporal correlation unit, and an annual carbon sequestration capacity summarization unit; wherein: Sediment carbon storage calculation unit: Used to vertically deploy core drilling points in seagrass beds and kelp fields to obtain sediment core sampling data at different locations. By measuring the dry density and total carbon content of the core samples, the carbon storage data at each depth level within the sediment core corresponding to each sampling location is calculated. ; Sedimentation rate analysis unit: used to conduct radiocarbon dating on sediment core samples to obtain accurate age information of sediments at different depths, and to calculate the long-term average sedimentation rate of sediments in different regions based on the relationship between age and corresponding sedimentation depth. The carbon sink data spatiotemporal correlation unit is used to receive the dynamic carbon storage change sequence output by the dynamic carbon storage monitoring module, and match and correlate its spatial coordinates and time nodes with the corresponding regional sediment carbon storage and sedimentation rate to form spatiotemporal carbon sink relationship data of seagrass, algae and sediment in each region. Annual Carbon Sequestration Capacity Summary Unit: This unit integrates and summarizes the carbon sequestration relationship data of each region output by the spatiotemporal correlation unit of carbon sequestration data on an annual basis. It separately calculates the total annual carbon sequestration of seagrass, algae and sediment, and generates a quantitative table of the annual carbon sequestration capacity of the island, including the contribution of each type of carbon sequestration, spatial location distribution and total carbon sequestration capacity.

[0010] Optionally, the deposition rate analysis unit includes: Radiometric dating subunit: Used to select multiple samples at different depths in sediment cores, and use radiocarbon isotope dating to analyze the radioactive decay of carbon in the samples, obtain the age values ​​corresponding to each depth, and construct a depth-age correspondence table. Depth data extraction subunit: used to read the depth-age correspondence table output by the radiometric dating subunit and extract the deposition depth value and its corresponding age value of each dating sample; The sedimentation rate calculation subunit is used to select data points from two adjacent dating samples, calculate the average sedimentation rate of the corresponding segment based on their depth difference and age difference, and take the arithmetic mean of the multiple segments as the long-term average sedimentation rate SR.

[0011] Optionally, the spatiotemporal correlation unit for carbon sink data includes: Spatial coordinate matching subunit: It is used to receive the geographic coordinate information of seagrass and algae samples in the dynamic carbon storage monitoring module, and map them to the unified reference coordinate system for island carbon sink survey based on GPS positioning data; at the same time, it receives the spatial distribution information of sediment core sampling points, and uses the nearest neighbor interpolation method to assign each seagrass or algae monitoring point to the sediment core sampling area closest to it, so as to achieve spatial location assignment and matching. Time node registration subunit: used to extract the carbon storage change data corresponding to each time node in the dynamic carbon storage change sequence and align it with the time distribution corresponding to the deposition rate value output by the deposition rate analysis unit; Carbon sink coupling calculation subunit: Based on the matched spatial region and unified time node, this subunit couples the carbon storage values ​​of seagrass and algae in each region for a specified year with the annual sedimentation rate and organic carbon content of the corresponding sediments in that region to calculate the composite carbon sink intensity. .

[0012] Optionally, the carbon sequestration potential mapping module includes a parameter normalization processing unit, a carbon sequestration potential grading unit, a spatial distribution map generation unit, and a priority partitioning output unit; wherein: Parameter normalization processing unit: It is used to receive the current total carbon sink of each region in the annual carbon sink capacity quantification table, and at the same time call the seagrass bed rejuvenation threshold, artificial algae field planting density and sediment carbon fixation efficiency index in the habitat modification parameter library; by using the minimum-maximum normalization method for each parameter, all values ​​are uniformly converted to the [0,1] interval. The foreign exchange potential grading unit is used to calculate the foreign exchange potential score of each region based on the normalized parameters and the weighted linear scoring method, and to classify the regions according to the preset grading threshold, and output the foreign exchange potential level of each spatial region. Spatial distribution map generation unit: used to map the completed carbon sequestration potential level data to the unified geographic information system layer of the island, and use raster interpolation and color coding to spatially visualize different levels, forming a spatial distribution map of carbon sequestration potential. Priority partitioning output unit: Based on the potential for increased investment in the spatial distribution map, generate a regional priority sequence and finally output a priority partitioning table.

[0013] Optionally, the carbon sequestration decision output module includes a path template matching unit, a cost estimation unit, a carbon sequestration revenue prediction unit, and a structured report generation unit; wherein: Path template matching unit: Used to receive the spatial distribution map of carbon sequestration potential and the priority partition table, and match the corresponding technology path type in the preset carbon sequestration technology path template library according to the carbon sequestration potential level and priority number of different regions; Cost estimation unit: Based on the technical path output by the path template matching unit, combined with the area, engineering intensity and material and labor unit prices, it calculates the total implementation cost and unit area input cost for each area, and forms a regional cost list. Carbon sink revenue forecasting unit: Based on the carbon sink score and technology path enhancement parameters of each region, calculate its unit carbon gain potential, and estimate the carbon sink monetization revenue corresponding to the path in combination with the carbon trading market price standard, and output the expected carbon sink gain value and revenue-cost ratio. Structured report generation unit: Used to integrate path templates, regional costs and carbon sink gain results, and output standardized decision report forms according to regional numbers. The report content includes recommended technical paths, implementation cost estimates, expected carbon sink gains, return on investment per unit and recommended implementation priorities.

[0014] A method for surveying island carbon sink data based on carbon storage assessment, implemented by the aforementioned island carbon sink data survey system based on carbon storage assessment, includes the following steps: S1: Simultaneously acquire information on the distribution of terrestrial vegetation on islands, the boundary coordinates of seagrass beds, and the biomass of seaweed fields to form a basic dataset of carbon sink resources; S2: Based on the basic dataset of carbon sink resources, an indoor full-growth-cycle cultivation device was used to simulate typical light, salinity and water flow conditions of islands, and phased sampling and carbon storage determination were carried out on seagrass and algae samples to generate dynamic carbon storage change sequences. S3: Receive the carbon storage change sequence obtained from S2, and combine it with sediment core sampling and radiocarbon isotope measurement data to calculate the sediment carbon storage and sedimentation rate in each region, and perform spatiotemporal correlation with the dynamic carbon storage of seagrass and algae to generate a quantitative table of the annual carbon sink capacity of the island. S4: Based on the annual carbon sequestration capacity quantification table generated by S3, the seagrass bed rejuvenation index, algal field expansion coefficient and sediment carbon fixation efficiency in the habitat modification parameter library are called to calculate the potential score and classify the different areas of the island, and construct a carbon sequestration potential spatial distribution map and priority zoning table. S5: Based on the spatial distribution map and priority partitioning table in S4, match the carbon sink enhancement path template and estimate the implementation cost by combining the regional area, engineering intensity and material and labor unit price. Then, combine the carbon trading market price to calculate the expected carbon sink monetary return and output a structured decision report including the technical path, implementation cost, carbon sink gain and benefit-cost ratio.

[0015] The beneficial effects of this invention are: This invention, through integrated land-sea multi-source data acquisition and indoor dynamic cultivation monitoring, for the first time quantifies the carbon sink of terrestrial vegetation, the carbon gain of seagrass beds and algae fields, and the long-term carbon storage of sediments within a unified spatiotemporal framework. This significantly improves the completeness and accuracy of island carbon sink assessment and ensures that the classification and prioritization of carbon sink potential have an objective and reliable data foundation.

[0016] This invention introduces a process for matching carbon sink pathway templates, estimating costs, and predicting carbon trading revenue. It can simultaneously output implementation costs, expected carbon sink gains, and revenue-cost ratios, supporting relevant departments in implementing regional carbon sink enhancement measures based on the rate of return. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of an island carbon sequestration data survey system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the island carbon sink data survey method according to an embodiment of the present invention. Detailed Implementation

[0019] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0020] like Figure 1 As shown, an island carbon sink data survey system based on carbon storage assessment includes an island habitat basic data acquisition module, a dynamic carbon storage monitoring module, a carbon sink capacity quantification module, a carbon sink potential mapping module, and a carbon sink enhancement decision output module; wherein: Island Habitat Basic Data Acquisition Module: Used to synchronously acquire information on the distribution of terrestrial vegetation on islands, seagrass bed boundary coordinates, and seaweed biomass, and generate a basic dataset of carbon sink resources; Dynamic carbon storage monitoring module: It is used to receive the basic dataset of carbon sink resources, simulate the actual light, salinity and water flow conditions of the island through an indoor full growth cycle cultivation device, sample seagrass and algae in stages, measure the carbon storage value at each growth stage, and generate a dynamic carbon storage change sequence. Carbon sequestration capacity quantification module: Based on the dynamic carbon storage change sequence, combined with sediment core sampling data and radiocarbon isotope (^14C) measurement results from island sea areas, the sediment carbon storage and sedimentation rate are calculated, and the dynamic carbon storage of seagrass and algae is spatiotemporally correlated with sediment carbon sequestration data to generate an annual carbon sequestration capacity quantification table for islands. Carbon sink potential mapping module: Receives the annual carbon sink capacity quantification table, classifies the carbon sink potential of different areas of the island through the habitat transformation parameter library, and generates a carbon sink potential spatial distribution map and priority partition table. Carbon sequestration decision output module: Based on the spatial distribution map of carbon sequestration potential and the priority partitioning table, it outputs a decision report that includes carbon sequestration technology paths, implementation costs, and expected carbon sequestration gains.

[0021] The island habitat basic data acquisition module includes a remote sensing vegetation identification unit, a seagrass bed boundary mapping unit, and a seaweed biomass monitoring unit; among which: Remote sensing vegetation identification unit: used to acquire high-resolution multispectral remote sensing images of island land areas, identify and label different vegetation types in the images, extract the spatial distribution boundaries and coverage of terrestrial vegetation, and output terrestrial vegetation distribution layer; Seagrass bed boundary mapping unit: Based on underwater optical remote sensing images and measured latitude and longitude coordinates, the actual boundary contour of the seagrass bed is identified through image segmentation and boundary vectorization, and a boundary coordinate dataset with spatial geographic information is generated. The seaweed biomass monitoring unit is used to deploy fixed monitoring transects, conduct stratified harvesting and wet weight measurement in the seaweed growth area, calculate the total biomass value of the corresponding seaweed farm based on the sampling data per unit area, perform gridded distribution interpolation, and output a seaweed biomass information layer. By combining multi-source remote sensing image processing with on-site monitoring data, the above unit enables the island habitat basic data acquisition module to achieve comprehensive structural and spatial perception of terrestrial and marine carbon sink resources, ensuring the accuracy and spatial consistency of subsequent carbon storage estimation data.

[0022] The dynamic carbon storage monitoring module includes an environmental condition simulation unit, a phased sampling unit, and a carbon storage measurement unit; among which: Environmental Condition Simulation Unit: This unit is used to construct a top light source device that combines metal halide lamps and cold light LEDs. By adjusting the light intensity and light cycle, it simulates the light changes between day and night. Sodium chloride, magnesium chloride, and sodium bicarbonate are added to the culture tank to prepare isotonic synthetic seawater, and the salinity is controlled within the simulated range. By setting up a lateral circulating water pump and an adjustable flow device, a constant flow velocity and direction are maintained in the tank, thus simulating the nearshore flow velocity environment of the island. Staged sampling unit: Used to periodically sample seagrass and algae samples in the culture tank according to preset growth time nodes. The sampling time interval covers the germination period, growth period and maturity period, and records the growth status and biomass changes of the samples according to a unified standard. The carbon storage determination unit is used to determine the total carbon content of samples taken at each stage after drying. A carbon, hydrogen, and nitrogen analyzer is used to obtain the carbon storage value per unit dry mass. Combined with the staged biomass data, the total carbon storage value at each time point is calculated, and a dynamic carbon storage change sequence is generated by outputting it in time series. The above-mentioned environmental condition simulation unit ensures that the experimental conditions are consistent with the actual environment of the island. The staged sampling unit and the carbon storage determination unit work together to realize the dynamic monitoring and quantitative output of carbon storage throughout the growth process, providing a continuous and realistic input basis for the subsequent carbon sequestration capacity quantification module.

[0023] The carbon storage measurement unit includes: Dry weight determination subunit: This unit is used to continuously dry the seaweed and algae samples obtained from the phased sampling unit in an 80℃ constant temperature drying oven until constant weight, and then measure the dry weight of each sample one by one using an electronic balance and record it as dry weight data. Carbon content determination subunit: After grinding and mixing the dried samples, the carbon content percentage of each sample is determined using a carbon, hydrogen and nitrogen analyzer to obtain the carbon content data per unit mass of the samples at each stage. Carbon storage calculation subunit: used to calculate the total carbon storage value of samples at each time point by combining dry mass data and carbon content per unit mass data. The calculation formula is as follows: In the formula, Let represent the total carbon storage at time point t. This represents the dry mass of the i-th sample at time point t. This represents the percentage of carbon content per unit mass of the i-th sample at time t, and n represents the total number of samples at time t. The dynamic sequence output subunit is used to arrange the total carbon storage value at all time points in the order of the growth cycle, forming a dynamic carbon storage change sequence, and recording it as a time series table for use by the subsequent carbon sequestration capacity quantification module. Through the explicit determination of dry mass and carbon content, and using a unified dimensional calculation formula, the carbon storage determination unit can efficiently and accurately provide reliable carbon storage change data, ensuring the accuracy and reliability of subsequent dynamic carbon sequestration analysis.

[0024] The carbon sequestration capacity quantification module includes a sediment carbon storage calculation unit, a sedimentation rate analysis unit, a carbon sequestration data spatiotemporal correlation unit, and an annual carbon sequestration capacity summary unit; among which: Sediment carbon storage calculation unit: Used to vertically deploy core drilling points in seagrass beds and kelp fields to obtain sediment core sampling data at different locations. By measuring the dry density and total carbon content of the core samples, the carbon storage data at each depth level within the sediment core corresponding to each sampling location is calculated. ; The formula for calculating sediment carbon storage is: In the formula, The carbon storage of the i-th sediment layer; Let be the thickness of the i-th sediment layer; Let be the dry density of the i-th sediment layer; The percentage of total organic carbon content in the i-th layer of sediment; Sedimentation rate analysis unit: used to conduct radiocarbon dating on sediment core samples to obtain accurate age information of sediments at different depths, and to calculate the long-term average sedimentation rate of sediments in different regions based on the relationship between age and corresponding sedimentation depth. The carbon sink data spatiotemporal correlation unit is used to receive the dynamic carbon storage change sequence output by the dynamic carbon storage monitoring module, and match and correlate its spatial coordinates and time nodes with the corresponding regional sediment carbon storage and sedimentation rate to form spatiotemporal carbon sink relationship data of seagrass, algae and sediment in each region. The annual carbon sequestration capacity summary unit is used to integrate and summarize the carbon sequestration relationship data of each region output by the carbon sequestration data spatiotemporal correlation unit on an annual basis. It separately calculates the total annual carbon sequestration of seagrass, algae and sediment, and generates a quantitative table of the island's annual carbon sequestration capacity, including the contribution of each type of carbon sequestration, spatial distribution and total carbon sequestration capacity. The above four units perform spatiotemporal registration and comparison between the dynamic changes of surface plant carbon storage and the carbon storage accumulation characteristics in sediments. The carbon sequestration capacity quantification module can accurately characterize the real carbon sequestration capacity of different areas of the island and support more targeted identification of carbon sequestration potential.

[0025] The deposition rate analysis unit includes: Radiometric dating subunit: Used to select multiple samples at different depths in sediment cores, and use radiocarbon isotope (^14C) dating technology to analyze the radioactive decay of carbon in the samples, obtain the age values ​​corresponding to each depth, and construct a depth-age correspondence table. Table 1. Examples of Depth-Century Correspondence

[0026] In the depth-age correspondence table above, the sample number represents the unique identifier of each sediment sample (S01 to S05); the sedimentation depth indicates the depth position of the corresponding sample in the sediment core, usually measured from the top of the core downwards; the radiocarbon dating indicates the age obtained by the ^14C dating method, BP stands for "Before Present", indicating the number of years since then; the dating error indicates the uncertainty range of the corresponding dating.

[0027] Depth data extraction subunit: used to read the depth-age correspondence table output by the radiometric dating subunit and extract the deposition depth value and its corresponding age value of each dating sample; The sedimentation rate calculation subunit is used to select data points from two adjacent dating samples, calculate the average sedimentation rate of the corresponding segment based on their depth difference and age difference, and take the arithmetic mean of multiple segments as the long-term average sedimentation rate SR. The calculation formula is as follows: In the formula, SR represents the long-term average deposition rate of sediments in the corresponding area; These represent the deposition depths of two adjacent samples, respectively. These represent the corresponding dating years; m is the number of dating sections in the core that are included in the calculation; through the collaborative work of the above three sub-units, the sedimentation rate analysis unit can accurately reconstruct the temporal evolution trend during the core deposition process and output the long-term average sedimentation rate values ​​of sediments in different regions for subsequent spatiotemporal matching of carbon reserves.

[0028] The spatiotemporal correlation units of carbon sequestration data include: Spatial coordinate matching subunit: It is used to receive the geographic coordinate information of seagrass and algae samples in the dynamic carbon storage monitoring module, and map them to the unified reference coordinate system for island carbon sink survey based on GPS positioning data; at the same time, it receives the spatial distribution information of sediment core sampling points, and uses the nearest neighbor interpolation method to assign each seagrass or algae monitoring point to the sediment core sampling area closest to it, so as to achieve spatial location assignment and matching. Time node registration subunit: used to extract carbon storage change data corresponding to each time node in the dynamic carbon storage change sequence and align it with the time distribution corresponding to the deposition rate value output in the deposition rate analysis unit; by constructing a unified annual time index table, it is ensured that the dynamic carbon storage data is consistent with the time scale of the deposition process. Carbon sink coupling calculation subunit: Based on the matched spatial region and unified time node, this subunit couples the carbon storage values ​​of seagrass and algae in each region for a specified year with the annual sedimentation rate and organic carbon content of the corresponding sediments in that region to calculate the composite carbon sink intensity. The formula is: In the formula, This represents the combined carbon sink intensity of region j in year t. This represents the carbon storage value of seagrass and algae in region j in year t. This represents the deposition rate of the sediments in region j. This represents the carbon content per unit volume of sediment in region j. By matching spatial coordinates, registering time nodes, and fusing carbon reserves and sediment data, the dynamic carbon reserves and sediment carbon sink capacity are precisely linked in both spatial and temporal dimensions, providing structured input data for subsequent annual carbon sink capacity quantification tables.

[0029] Table 2 Quantification of the annual carbon sequestration capacity of islands

[0030] In the above table of annual carbon sequestration capacity of islands, the regional code represents the spatial division unit for the island carbon sequestration assessment, generally numbered by grid or actual ecological plot; the year represents the year of carbon sequestration assessment, calculated by calendar year; seagrass carbon sequestration represents the annual carbon sequestration per unit area contributed by seagrass in the region in that year; algae carbon sequestration represents the annual carbon sequestration per unit area contributed by algae in the region in that year; sediment carbon sequestration represents the annual carbon storage per unit area fixed by the long-term average sedimentation rate of sediments in the region in that year; the total carbon sequestration of the region is the sum of the three types of carbon sequestration values, representing the total quantitative value of the overall carbon sequestration capacity of the region in that year.

[0031] The carbon sequestration potential mapping module includes a parameter normalization processing unit, a carbon sequestration potential grading unit, a spatial distribution map generation unit, and a priority partitioning output unit; wherein: Parameter normalization processing unit: It is used to receive the current total carbon sink of each region in the annual carbon sink capacity quantification table, and at the same time call the seagrass bed rejuvenation threshold, artificial algae field planting density and sediment carbon fixation efficiency index in the habitat modification parameter library; by using the minimum-maximum normalization method for each parameter, all values ​​are uniformly converted to the [0,1] interval. Foreign exchange potential grading unit: It is used to calculate the foreign exchange potential score of each region based on the normalized parameters and the weighted linear scoring method, and to classify the regions according to the preset grading threshold, and output the foreign exchange potential level (high, medium and low) of each spatial region. After normalization, the formula for calculating the foreign exchange reserve potential score is as follows: In the formula, This represents the score value for the potential for foreign exchange accumulation in region j (dimensionless, range). ); This represents the normalized value of the seagrass bed rejuvenation index in region j. This represents the normalized value of the scalability coefficient of the artificial algae field in region j. : Represents the normalized value of carbon fixation efficiency of sediments in region j; These are the weighting factors for the three indicators: seagrass, algal fields, and sediments. Based on the calculated score The potential for foreign exchange reserves is divided into three categories, and the following intervals are used for classification: when At that time, it represented a high potential for foreign exchange gains; when At that time, it represented intermediate-level foreign exchange increase potential; when At that time, it represented low-level foreign exchange increase potential; Spatial distribution map generation unit: used to map the completed carbon sequestration potential level data to the unified geographic information system layer of the island, and use raster interpolation and color coding to spatially visualize different levels, forming a spatial distribution map of carbon sequestration potential. Priority partitioning output unit: Based on the carbon sequestration potential level in the spatial distribution map, a regional priority sequence is generated, and a priority partitioning table is finally output. In the table, regions with higher potential levels have higher priority. If there are multiple regions of the same level, priority numbers are assigned according to the region number in ascending order. The above units complete the hierarchical expression and structured output of the carbon sequestration potential of islands through four steps: standardized parameter processing, quantitative scoring, spatial mapping and ranking partitioning. This provides clear data basis for subsequent carbon sequestration path planning and cost-benefit assessment.

[0032] Table 3 Example of Priority Partition Representation

[0033] In the priority zoning table above, the region number is consistent with the number in the spatial distribution map and carbon sink quantification table to ensure traceability; the carbon sink potential level is assessed by the carbon sink potential grading unit, and the level includes high, medium and low; the priority number is sorted from high to low according to the potential level, with number I being the highest priority, and the subsequent numbers are arranged in order.

[0034] The carbon sequestration decision output module includes a path template matching unit, a cost estimation unit, a carbon sequestration revenue forecasting unit, and a structured report generation unit; among which: The path template matching unit receives the spatial distribution map of carbon sink potential and the priority zoning table. Based on the carbon sink potential level and priority number of different regions, it matches the corresponding technical path type in the preset carbon sink enhancement technology path template library. The technical paths include three categories: seagrass bed rejuvenation scheme, artificial algae field expansion scheme, and sediment improvement and enhancement scheme. The matching logic is that high-potential areas should prioritize the use of composite path combinations, medium-potential areas should use single-path enhancement, and low-potential areas should be maintained as they are or have ecological buffers. Cost estimation unit: Based on the technical path output by the path template matching unit, combined with the area, engineering intensity and material and labor unit prices, it calculates the total implementation cost and unit area input cost for each area, and forms a regional cost list. The cost estimation unit includes: Total Cost Calculation Sub-unit: Based on the area, project intensity, and unit prices of materials and labor, calculate the total implementation cost for the corresponding area using the following formula: ,in, Let J be the total cost of region j. Let J be the area of ​​region j. Let J be the engineering strength coefficient for region j. Let J be the unit price of material labor per unit area in region j. Unit area cost calculation sub-unit: Used to divide the total implementation cost by the area to calculate the cost per unit area. The calculation formula is as follows: ,in: Cost per unit area; Cost Bill Generation Sub-unit: This sub-unit is used to combine the following information for each region into a structured bill of contents and output it. The specific information includes: region number, selected income transfer path type, region area, engineering strength level and corresponding coefficient, material and labor unit price, total implementation cost, and unit area cost. Table 4 Example of a cost list (structured output table)

[0035] Carbon sink revenue forecasting unit: Based on the carbon sink score and technology path enhancement parameters of each region, calculate its unit carbon gain potential, and estimate the carbon sink monetization revenue corresponding to the path in combination with the carbon trading market price standard, and output the expected carbon sink gain value and revenue-cost ratio. The carbon sink revenue forecasting unit includes: Carbon Gain Potential Assessment Subunit: Used to calculate the carbon gain potential per unit area of ​​each region, based on the carbon sink score of that region. Path enhancement factor corresponding to the type of capital increase path (This represents the carbon gain corresponding to a unit score), the calculation formula is: ,in, Indicates the carbon gain potential per unit area ; The path enhancement factor (preset values: 1500 for seagrass bed rejuvenation, 1800 for artificial kelp field expansion, and 2000 for sediment improvement) is used. ); Market price matching subunit: used to extract the current carbon credit unit price P from the preset carbon trading market reference library, and to calculate the monetization value of carbon credits; The revenue estimation sub-unit is used to calculate the monetary value of the total carbon sink gain in a region by combining the unit carbon gain potential, regional area, and market price. The formula is as follows: ,in, The expected carbon sink revenue for region j; The area is represented by 1000; 1000 is the unit conversion factor used to convert... Convert to ; Revenue-Cost Ratio Output Sub-Unit: Based on Revenue Value Compared with the total cost already calculated in the cost estimation unit Calculate the revenue-cost ratio for region j. The formula is as follows: .

[0036] The structured report generation unit integrates path templates, regional costs, and carbon sink gain results, and outputs standardized decision report forms according to regional codes. The report content includes suggested technical paths, implementation cost estimates, expected carbon sink gains, unit investment return rates, and recommended implementation priorities, and is exported as a structured data table for retrieval or manual review. Through path matching, cost calculation, and gain prediction, the above units ultimately output regional-level carbon sink enhancement decision recommendations in a standardized manner, realizing quantitative planning and feasibility analysis of carbon sink enhancement actions.

[0037] like Figure 2 As shown, a method for surveying island carbon sink data based on carbon storage assessment, implemented by the aforementioned island carbon sink data survey system based on carbon storage assessment, includes the following steps: S1: Simultaneously acquire information on the distribution of terrestrial vegetation on islands, the boundary coordinates of seagrass beds, and the biomass of seaweed fields to form a basic dataset of carbon sink resources; S2: Based on the basic dataset of carbon sink resources, an indoor full-growth-cycle cultivation device was used to simulate typical light, salinity and water flow conditions of islands, and phased sampling and carbon storage determination were carried out on seagrass and algae samples to generate dynamic carbon storage change sequences. S3: Receive the carbon storage change sequence obtained from S2, and combine it with sediment core sampling and radiocarbon isotope measurement data to calculate the sediment carbon storage and sedimentation rate in each region, and perform spatiotemporal correlation with the dynamic carbon storage of seagrass and algae to generate a quantitative table of the annual carbon sink capacity of the island. S4: Based on the annual carbon sequestration capacity quantification table generated by S3, the seagrass bed rejuvenation index, algal field expansion coefficient and sediment carbon fixation efficiency in the habitat modification parameter library are called to calculate the potential score and classify the different areas of the island, and construct a carbon sequestration potential spatial distribution map and priority zoning table. S5: Based on the spatial distribution map and priority partitioning table in S4, match the carbon sink enhancement path template and estimate the implementation cost by combining the regional area, engineering intensity and material and labor unit price. Then, combine the carbon trading market price to calculate the expected carbon sink monetary return and output a structured decision report including the technical path, implementation cost, carbon sink gain and benefit-cost ratio.

[0038] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0039] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A carbon sink data survey system for islands based on carbon storage assessment, characterized in that, It includes a basic data acquisition module for island habitats, a dynamic carbon storage monitoring module, a carbon sequestration capacity quantification module, a carbon sequestration potential mapping module, and a carbon sequestration enhancement decision output module; among which: Island Habitat Basic Data Acquisition Module: Used to synchronously acquire information on the distribution of terrestrial vegetation on islands, seagrass bed boundary coordinates, and seaweed biomass, and generate a basic dataset of carbon sink resources; Dynamic carbon storage monitoring module: It is used to receive the basic dataset of carbon sink resources, simulate the actual light, salinity and water flow conditions of the island through an indoor full growth cycle cultivation device, sample seagrass and algae in stages, measure the carbon storage value at each growth stage, and generate a dynamic carbon storage change sequence. Carbon sequestration capacity quantification module: Based on the dynamic carbon storage change sequence, combined with sediment core sampling data and radiocarbon isotope measurement results from island waters, the module calculates sediment carbon storage and sedimentation rate, and spatiotemporally correlates the dynamic carbon storage of seagrass and algae with sediment carbon sequestration data to generate an annual carbon sequestration capacity quantification table for islands. Carbon sequestration potential mapping module: Receives the annual carbon sequestration capacity quantification table, classifies the carbon sequestration potential of different areas of the island through the habitat transformation parameter library, and generates a spatial distribution map of carbon sequestration potential and a priority zoning table. Carbon sequestration decision output module: Based on the spatial distribution map of carbon sequestration potential and the priority partitioning table, it outputs a decision report that includes carbon sequestration technology paths, implementation costs, and expected carbon sequestration gains.

2. The island carbon sink data survey system based on carbon storage assessment according to claim 1, characterized in that, The island habitat basic data acquisition module includes a remote sensing vegetation identification unit, a seagrass bed boundary mapping unit, and a seaweed biomass monitoring unit; wherein: Remote sensing vegetation identification unit: used to acquire high-resolution multispectral remote sensing images of island land areas, identify and label different vegetation types in the images, extract the spatial distribution boundaries and coverage of terrestrial vegetation, and output terrestrial vegetation distribution layer; Seagrass bed boundary mapping unit: Based on underwater optical remote sensing images and measured latitude and longitude coordinates, the actual boundary contour of the seagrass bed is identified through image segmentation and boundary vectorization, and a boundary coordinate dataset with spatial geographic information is generated. Seaweed biomass monitoring unit: used to set up fixed monitoring transects, carry out stratified harvesting and wet weight measurement in seaweed growth areas, calculate the total biomass value of the corresponding seaweed farm based on the sampling data per unit area, perform gridded distribution interpolation, and output seaweed biomass information layer.

3. The island carbon sink data survey system based on carbon storage assessment according to claim 1, characterized in that, The dynamic carbon storage monitoring module includes an environmental condition simulation unit, a phased sampling unit, and a carbon storage measurement unit; wherein: Environmental Condition Simulation Unit: This unit is used to construct a top light source device that combines metal halide lamps and cold light LEDs. By adjusting the light intensity and light cycle, it simulates the light changes between day and night. Sodium chloride, magnesium chloride, and sodium bicarbonate are added to the culture tank to prepare isotonic synthetic seawater, and the salinity is controlled within the simulated range. By setting up a lateral circulating water pump and an adjustable flow device, a constant flow velocity and direction are maintained in the tank, thus simulating the nearshore flow velocity environment of the island. Staged sampling unit: Used to periodically sample seagrass and algae samples in the culture tank according to preset growth time nodes. The sampling time interval covers the germination period, growth period and maturity period, and records the growth status and biomass changes of the samples according to a unified standard. Carbon storage determination unit: used to determine the total carbon content of samples collected at each stage after drying. It uses a carbon, hydrogen and nitrogen analyzer to obtain the carbon storage value per unit dry mass, and calculates the total carbon storage value at each time point by combining the stage biomass data, and outputs the dynamic carbon storage change sequence in time series.

4. The island carbon sink data survey system based on carbon storage assessment according to claim 3, characterized in that, The carbon storage measurement unit includes: Dry weight determination subunit: This unit is used to continuously dry the seaweed and algae samples obtained from the phased sampling unit in an 80℃ constant temperature drying oven until constant weight, and then measure the dry weight of each sample one by one using an electronic balance and record it as dry weight data. Carbon content determination subunit: After grinding and mixing the dried samples, the carbon content percentage of each sample is determined using a carbon, hydrogen and nitrogen analyzer to obtain the carbon content data per unit mass of the samples at each stage. Carbon storage calculation subunit: used to calculate the total carbon storage value of samples at each time point by combining dry mass data and carbon content per unit mass data. ; Dynamic sequence output sub-unit: used to arrange the total carbon storage value of all time points in the order of growth cycle, form a dynamic carbon storage change sequence, and record it as a time series table.

5. The island carbon sink data survey system based on carbon storage assessment according to claim 1, characterized in that, The carbon sequestration capacity quantification module includes a sediment carbon storage calculation unit, a sedimentation rate analysis unit, a carbon sequestration data spatiotemporal correlation unit, and an annual carbon sequestration capacity summary unit; wherein: Sediment carbon storage calculation unit: Used to vertically deploy core drilling points in seagrass beds and kelp fields to obtain sediment core sampling data at different locations. By measuring the dry density and total carbon content of the core samples, the carbon storage data at each depth level within the sediment core corresponding to each sampling location is calculated. ; Sedimentation rate analysis unit: used to conduct radiocarbon dating on sediment core samples to obtain accurate age information of sediments at different depths, and to calculate the long-term average sedimentation rate of sediments in different regions based on the relationship between age and corresponding sedimentation depth. The carbon sink data spatiotemporal correlation unit is used to receive the dynamic carbon storage change sequence output by the dynamic carbon storage monitoring module, and match and correlate its spatial coordinates and time nodes with the corresponding regional sediment carbon storage and sedimentation rate to form spatiotemporal carbon sink relationship data of seagrass, algae and sediment in each region. Annual Carbon Sequestration Capacity Summary Unit: This unit integrates and summarizes the carbon sequestration relationship data of each region output by the spatiotemporal correlation unit of carbon sequestration data on an annual basis. It separately calculates the total annual carbon sequestration of seagrass, algae and sediment, and generates a quantitative table of the annual carbon sequestration capacity of the island, including the contribution of each type of carbon sequestration, spatial location distribution and total carbon sequestration capacity.

6. The island carbon sink data survey system based on carbon storage assessment according to claim 5, characterized in that, The deposition rate analysis unit includes: Radiometric dating subunit: Used to select multiple samples at different depths in sediment cores, and use radiocarbon isotope dating to analyze the radioactive decay of carbon in the samples, obtain the age values ​​corresponding to each depth, and construct a depth-age correspondence table. Depth data extraction subunit: used to read the depth-age correspondence table output by the radiometric dating subunit and extract the depositional depth value and its corresponding age value of each dating sample; The sedimentation rate calculation subunit is used to select data points from two adjacent dating samples, calculate the average sedimentation rate of the corresponding segment based on their depth difference and age difference, and take the arithmetic mean of the multiple segments as the long-term average sedimentation rate SR.

7. The island carbon sink data survey system based on carbon storage assessment according to claim 6, characterized in that, The spatiotemporal correlation unit for carbon sink data includes: Spatial coordinate matching subunit: It is used to receive the geographic coordinate information of seagrass and algae samples in the dynamic carbon storage monitoring module, and map them to the unified reference coordinate system for island carbon sink survey based on GPS positioning data; at the same time, it receives the spatial distribution information of sediment core sampling points, and uses the nearest neighbor interpolation method to assign each seagrass or algae monitoring point to the sediment core sampling area closest to it, so as to achieve spatial location assignment and matching. Time node registration subunit: used to extract the carbon storage change data corresponding to each time node in the dynamic carbon storage change sequence and align it with the time distribution corresponding to the deposition rate value output by the deposition rate analysis unit; Carbon sink coupling calculation subunit: Based on the matched spatial region and unified time node, this subunit couples the carbon storage values ​​of seagrass and algae in each region for a specified year with the annual sedimentation rate and organic carbon content of the corresponding sediments in that region to calculate the composite carbon sink intensity. .

8. The island carbon sink data survey system based on carbon storage assessment according to claim 1, characterized in that, The carbon sequestration potential mapping module includes a parameter normalization processing unit, a carbon sequestration potential classification unit, a spatial distribution map generation unit, and a priority partitioning output unit; wherein: Parameter normalization processing unit: It is used to receive the current total carbon sink of each region in the annual carbon sink capacity quantification table, and at the same time call the seagrass bed rejuvenation threshold, artificial algae field planting density and sediment carbon fixation efficiency index in the habitat modification parameter library; by using the minimum-maximum normalization method for each parameter, all values ​​are uniformly converted to the [0,1] interval. The foreign exchange potential grading unit is used to calculate the foreign exchange potential score of each region based on the normalized parameters and the weighted linear scoring method, and to classify the regions according to the preset grading threshold, and output the foreign exchange potential level of each spatial region. Spatial distribution map generation unit: used to map the completed carbon sequestration potential level data to the unified geographic information system layer of the island, and use raster interpolation and color coding to spatially visualize different levels, forming a spatial distribution map of carbon sequestration potential. Priority partitioning output unit: Based on the potential for increased investment in the spatial distribution map, generate a regional priority sequence and finally output a priority partitioning table.

9. The island carbon sink data survey system based on carbon storage assessment according to claim 1, characterized in that, The carbon sequestration decision output module includes a path template matching unit, a cost estimation unit, a carbon sequestration benefit prediction unit, and a structured report generation unit; wherein: Path template matching unit: Used to receive the spatial distribution map of carbon sequestration potential and the priority partition table, and match the corresponding technology path type in the preset carbon sequestration technology path template library according to the carbon sequestration potential level and priority number of different regions; Cost estimation unit: Based on the technical path output by the path template matching unit, combined with the area, engineering intensity and material and labor unit prices, it calculates the total implementation cost and unit area input cost for each area, and forms a regional cost list. Carbon sink revenue forecasting unit: Based on the carbon sink score and technology path enhancement parameters of each region, calculate its unit carbon gain potential, and estimate the carbon sink monetization revenue corresponding to the path in combination with the carbon trading market price standard, and output the expected carbon sink gain value and revenue-cost ratio. Structured report generation unit: Used to integrate path templates, regional costs and carbon sink gain results, and output standardized decision report forms according to regional numbers. The report content includes recommended technical paths, implementation cost estimates, expected carbon sink gains, return on investment per unit and recommended implementation priorities.

10. A method for surveying island carbon sink data based on carbon storage assessment, implemented by the island carbon sink data survey system based on carbon storage assessment as described in any one of claims 1-9, characterized in that, Includes the following steps: S1: Simultaneously acquire information on the distribution of terrestrial vegetation on islands, the boundary coordinates of seagrass beds, and the biomass of seaweed fields to form a basic dataset of carbon sink resources; S2: Based on the basic dataset of carbon sink resources, an indoor full-growth-cycle cultivation device was used to simulate typical light, salinity and water flow conditions of islands, and phased sampling and carbon storage determination were carried out on seagrass and algae samples to generate dynamic carbon storage change sequences. S3: Receive the carbon storage change sequence obtained from S2, and combine it with sediment core sampling and radiocarbon isotope measurement data to calculate the sediment carbon storage and sedimentation rate in each region, and perform spatiotemporal correlation with the dynamic carbon storage of seagrass and algae to generate a quantitative table of the annual carbon sink capacity of the island. S4: Based on the annual carbon sequestration capacity quantification table generated by S3, the seagrass bed rejuvenation index, algal field expansion coefficient and sediment carbon fixation efficiency in the habitat modification parameter library are called to calculate the potential score and classify the different areas of the island, and construct a carbon sequestration potential spatial distribution map and priority zoning table. S5: Based on the spatial distribution map and priority partitioning table in S4, match the carbon sink enhancement path template and estimate the implementation cost by combining the regional area, engineering intensity and material and labor unit price. Then, combine the carbon trading market price to calculate the expected carbon sink monetary return and output a structured decision report including the technical path, implementation cost, carbon sink gain and benefit-cost ratio.

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