44 results about "Blue carbon" patented technology

The invention relates to the technical field of marine ecology, in particular to an offshore wind power and marine ranch blue carbon synergistic effect optimization and scheduling control system which comprises a blue carbon dynamic monitoring module, a cross-time scale optimization module, an energy directional scheduling module, an ecological parameter compensation module and a synergistic effect feedback module. Wherein the blue carbon dynamic monitoring module is used for collecting an algae photosynthetic carbon sequestration rate, a shellfish calcification carbon sequestration rate, a seabed sediment carbon sequestration amount and environmental parameters in real time; the cross-time-scale optimization module is used for carrying out space-time alignment and generating a collaborative optimization strategy; and the energy directional scheduling module is used for dividing the electric energy output by the wind turbine generator according to priorities. According to the method, a blue carbon-wind power integrated collaborative optimization and scheduling mechanism is constructed, accurate alignment and dynamic regulation and control of different time scale carbon sink processes and wind power output are realized, and the collaborative capability of energy utilization efficiency and ecological carbon sink benefits is improved.

The invention provides a blue carbon market adaptive accounting method based on multi-source data and Bayesian updating, and belongs to the technical field of natural resource planning and ecological management. The method comprises the following steps: firstly, constructing a standardized multi-source fusion data set through a systematic process, and then preprocessing collected data to generate a standardized blue carbon multi-source fusion data set; then, through a Bayesian-based carbon reserve estimation model, outputting a monitoring point carbon reserve prior value, fusing a monitoring point carbon reserve mean value with a spatial prior value, and updating monitoring point carbon reserve distribution; and finally, constructing a carbon credit risk index system, calculating risk indexes of the plot layer and the region layer, updating a plot layer carbon reserve mean value by using the updated monitoring point carbon reserve distribution, and generating a blue carbon project reference transaction price according to the carbon reserve mean value and the risk indexes. According to the invention, a full-chain blue carbon intelligent accounting system is constructed, and interdisciplinary fusion of an ecological model, deep learning and a carbon market mechanism is realized.

The invention relates to the technical field of ocean engineering, in particular to a marine ranch blue carbon monitoring and intelligent regulation and control system based on offshore wind power complementary energy supply, which comprises a wind power complementary energy capture and standardization module, an environmental parameter acquisition module, a blue carbon reserve calculation module, an ecological regulation and control parameter generation module and an execution feedback optimization module. Wherein the wind power complementary energy capture and standardization module is used for collecting excess electric energy of an offshore wind plant in real time; the environmental parameter acquisition module is used for acquiring a multi-source environmental parameter set; the blue carbon reserve calculation module is used for calculating and outputting a blue carbon reserve index hour by hour; and the ecological regulation and control parameter generation module is used for generating a regulation and control parameter set. According to the invention, by constructing a wind power complementary energy and blue carbon regulation and control closed-loop linkage mechanism, integrated coordination of multi-source environment monitoring, carbon reserve dynamic evaluation and intelligent ecological regulation and control is realized, and the blue carbon formation efficiency and the wind power resource utilization rate of the marine ranch are effectively improved.

The invention discloses a spectral data acquisition and screening method for blue carbon data inversion, and relates to the field of spectral data acquisition. The method comprises the following steps: (1) acquiring original spectral data; (2) constructing a hyperspectral unmixing model based on a spectrum modulation module and spectrum variability; (3) utilizing the constructed hyperspectral unmixing model to realize vegetation spectrum matching; (4) screening the original data based on a spectrum matching result; (5) realizing data re-verification based on dispersion estimation; and (6) according to a dispersion estimation result, obtaining a regional representative spectrum, and realizing spectral data acquisition and screening for blue carbon data inversion. The hyperspectral unmixing model based on the spectrum modulation module and the spectrum variability can adapt to heterogeneity of data obtained in different scenes, the spectrum matching precision is improved, and the comprehensive performance of spectrum data screening is improved.

The invention discloses a mangrove plant kandelia candel extraction method based on Sentinel-1 / 2 time sequence remote sensing images, and relates to satellite remote sensing image processing. The method comprises the following steps: generating year-by-year quantile data of an original spectral band and a spectral index by utilizing a Sentinel-1 / 2 time sequence image, and generating 10m elevation, gradient and slope direction data by adopting 30m global elevation data; establishing a research area classification system, and generating a training sample set according to a high-resolution image provided by Google Earth software; and generating a training model based on a random forest classification algorithm to obtain a mangrove plant kandelia candel distribution result. The mangrove plant kandelia candel extraction method based on percentile is designed by using Sentinel-1 / 2 time sequence remote sensing data, and high-precision extraction of the mangrove plant kandelia candel with plaque fragmentation and large scale is realized. The result shows that the spatial distribution condition of the kandelia candel community provides data support for mangrove forest ecological restoration, blue carbon evaluation, ecological system service evaluation and the like.

The invention discloses a method for promoting the growth of coastal wetland scirpus mariqueter by using spartina alterniflora biochar, which comprises the following steps: S1, collecting spartina alterniflora, cleaning, naturally airing, cutting into small sections of less than 5 cm, drying at 60 DEG C, crushing, sieving by a 60-mesh sieve, and performing anaerobic pyrolysis at 500 DEG C for 2 hours to prepare biochar; s2, coast wetland salt marsh soil is collected, 0%, 0.5%, 1% and 3% of biochar are added according to the weight ratio, and the biochar and the soil are mixed to be uniform to prepare different treatment groups; s3, healthy scirpus mariqueter seedlings are selected, transplanted into the soil containing the biochar and cultured for 9 months under the greenhouse condition; s4, regularly measuring plant biomass, root morphology, reproduction characteristics and soil indexes, and finally screening 1% biochar addition concentration as an optimal scheme; according to the method, resource utilization of invasive plants is achieved, the wetland carbon sequestration potential is enhanced, and a scientific basis and an application approach are provided for coastal wetland ecological restoration and blue carbon sink management.

The invention discloses a coastal wetland blue carbon reserve measurement method based on habitat perception and missing codes. The method comprises the following steps: obtaining habitat category labels and micrometeorological parameters of a target area; generating a sensor scheduling instruction and a scheduling state code according to the habitat category label and the micrometeorological parameter; active compensation is executed according to the pod attitude change, and a data confidence mark is generated; constructing feature vectors of the grid units; constructing a structural deficiency indication code, jointly inputting the structural deficiency indication code and the feature vector into an inversion model, and outputting a blue carbon reserve prediction value of the target area and a corresponding uncertainty index; when the uncertainty index exceeds a preset threshold value, a recovery strategy is generated, and subsequent flight planning parameters are dynamically corrected; and after the recovery data is updated, repeatedly executing the processes of feature construction, inversion and uncertainty evaluation until the global uncertainty meets a preset requirement. According to the method and the system, the stability and the reliability of a blue carbon reserve space inversion result in a complex coastal wetland environment are improved.

To solve such a problem that cultivation of seaweeds that generate blue carbon is committed to a natural environment which is very limited to shallows where sunlight reaches (=0.2% of the entire sea), the cultivation region may decrease but cannot increase because of installation of a port, tourism development such as a swimming beach, and expansion of commercial facilities, sunlight sometimes cannot sufficiently reach the cultivation region because of weather conditions and the ebb and flow of the tide, which makes the cultivation insufficient, and furthermore, an outbreak of red tides may inhibit algae from growing.SOLUTION: In a blue carbon system, a sealed wooden box is installed to each of the four corners of a wooden frame of a 12 m-sized wooden artificial island unit; a culture soil unit for cultivating algae is placed on the wooden frame; buoyancy of the four sealed wooden boxes and weight of the culture soil unit are controlled to be well balanced; and upper sides of the four sealed wooden boxes are set to be exposed from the water by approximately 30 cm while taking the water depth into account so as to provide a best growth condition of the algae.SELECTED DRAWING: Figure 1

The invention relates to the technical field of marine ecological environment regulation and control, in particular to an offshore wind power driven ecological floating island blue carbon capture and regulation self-adaption method, which comprises the following steps: S1, acquiring the flow velocity gradient, chlorophyll a concentration and dissolved inorganic carbon content of a target sea area, and acquiring torque fluctuation data of a main shaft of a wind power device; s2, calculating a unit area carbon flux threshold value of the floating island; s3, generating a floating island matrix permeability adjusting instruction according to the carbon flux threshold value; s4, triggering a salinity gradient power generation module to generate compensation electric energy; s5, activating a micro-fluidic chip by using the compensation electric energy, and controlling the opening and closing frequency of pores of the mangrove forest; and S6, dynamically correcting the distribution of balancing weights of the floating island, so that the deposition rate of blue carbon is stabilized in a target interval. According to the method, wind power energy prediction, carbon flux calculation and floating island self-adaptive structure regulation and control are integrated in real time, efficient and stable operation of the blue carbon capture process of the floating island in the complex marine environment is achieved, and therefore the carbon fixing efficiency is remarkably improved.

This invention provides a Bayesian-based method and apparatus for spatial trade-off and synergistic optimization of ecosystem services, relating to the fields of ecology and statistics. The invention acquires an ecological spatial database of a target area, uses ArcGIS software's netting and clipping tools to generate a grid layer of a specified size for the target area, obtaining a pixel set. Based on the ecological spatial database and pixel set, the blue carbon storage, biodiversity maintenance capacity, and coastal protection capacity of the target area are calculated, representing three ecosystem services. Furthermore, the coupling coordination degree is obtained to analyze the overall coordination level among ecosystem services. A Bayesian-based ecosystem service synergy prediction model is constructed using Netica software to identify key driving factors and output the probability distribution of corresponding nodes, simulating and analyzing potential synergistic impacts under different scenarios. This invention can accurately identify and clarify the trade-off and synergistic relationships of key ecosystem services such as coastal wetlands, achieving synergistic spatial optimization of ecosystem services.

The present application relates to the technical field of climate change warning, and discloses a mangrove blue carbon ecological risk identification and warning method and system for climate change, comprising the following steps: acquiring time series of global land surface characteristic satellite leaf area index data and environmental factors, performing detrending, deseasonalization and standardization processing to extract abnormal sequences; determining climate oscillation windows and neutral periods according to multivariate El Nino-Southern Oscillation index and dipole mode index, and calculating the mean value of the environmental factors in the neutral period as a reference; inputting the environmental factors into a long short-term memory network to extract attention weights, calculating the factor difference between the mean value of the climate oscillation window and the reference, mapping the factor difference by using a nonlinear saturation kernel function, combining the weights to obtain contribution amplitude, and selecting a dominant risk factor by comparing the direction; processing the absolute value of the leaf area index anomaly by using an S function to output risk intensity, and predicting future leaf area index anomaly based on the dominant risk factor to generate a warning evaluation.

The present invention relates to the field of ocean engineering technology, and specifically relates to a blue carbon monitoring and intelligent regulation system for ocean ranching based on the supply of surplus energy from offshore wind power, including a surplus wind energy capture and standardization module, an environmental parameter acquisition module, a blue carbon storage calculation module, an ecological regulation parameter generation module, and an execution feedback optimization module; wherein: The surplus wind energy capture and standardization module: is used to collect the surplus electric energy of the offshore wind farm in real time; The environmental parameter acquisition module: collects a multi-source environmental parameter set; The blue carbon storage calculation module: calculates and outputs the blue carbon storage index hourly; The ecological regulation parameter generation module: is used to generate a regulation parameter set. The present invention realizes the integrated coordination of multi-source environmental monitoring, dynamic assessment of carbon storage, and intelligent ecological regulation by constructing a closed-loop linkage mechanism for surplus wind energy and blue carbon regulation, effectively improving the blue carbon formation efficiency of ocean ranching and the utilization rate of wind power resources.

A water-soluble red-light carbon dot and its preparation method and application, the method comprising the following steps: adding dicyandiamide and o-phenylenediamine to deionized water containing sulfuric acid and stirring for 20-30 minutes to form a suspension; placing the suspension in an autoclave and heating the reaction at 100-200°C for 6-12 hours to form a dark blue carbon dot solution; after cooling the dark blue carbon dot solution to room temperature, filtering it with a water-based microporous membrane and dialysis bag, respectively, to remove impurities and obtain pure water-soluble red-light carbon dots. This method has the advantages of simple process, easy operation, low cost, and no pollution, and can be used for industrial production; the prepared water-soluble red-light carbon dots are small in size, have good monodispersity, a graphene-like structure, and water solubility, and can significantly improve the absorption and transport of potassium and sodium ions by the roots of field crops under drought stress and salt stress, thereby increasing the photosynthetic rate and stomatal conductance of the crops and alleviating drought and salt stress in field crops.

The utility model discloses an ecological sea grass bed structure based on blue carbon effect, which comprises a planting bed, one side of the planting bed is provided with a fixing mechanism used for fixing the planting bed, the fixing mechanism comprises a ground nail, a connecting rod, a spiral piece, a twisting block, a fixing ring and a hook, the ground nail is arranged on one side of the planting bed, and the spiral piece is arranged on the other side of the planting bed. A connecting rod is fixedly arranged at the upper end of the ground nail, a spiral piece is fixedly arranged on the surface of the outer side of the ground nail, a screwing block is fixedly arranged on the outer surface of the upper end of the connecting rod, a plurality of fixing rings are evenly and fixedly arranged on the surface of the connecting rod and located on the periphery of the lower end of the screwing block, and hooks are fixedly arranged at the four corners of the surface of the outer side of the planting bed. The device is good in using effect, a planting bed structure for artificial sea grass planting can be conveniently and rapidly laid on the seabed, the fixing and anchoring effect of the device is better, and therefore the planting bed can be effectively prevented from displacing and deviating from the preset planting position along with flowing impact of seabed water flow.

The invention relates to a multi-factor-driven coastal salt marsh wetland blue carbon potential evaluation method, which comprises the following steps: acquiring coastal salt marsh wetland area data, and preprocessing; evaluating the dynamic change trend of the coastal salt marsh wetland by using a PLUS model; predicting the appropriate distribution probability of different salt marsh wetland vegetation by using a Maxent model, and obtaining the spatial distribution result of different salt marsh wetland vegetation in the future; evaluating the blue carbon potential of the coastal salt marsh wetland by using an InVEST model to obtain the blue carbon potential of each vegetation of the coastal salt marsh wetland; and carrying out weighted stacking on the blue carbon potential of different salt marsh wetland vegetation of the coastal salt marsh wetland. The method has the beneficial effects that efficient and accurate evaluation of the blue carbon potential of the coastal salt marsh wetland is realized through multi-model collaboration and data driving.

The invention discloses a resident-free island vegetation classification method. The method comprises the steps of S1, data acquisition and preprocessing; s2, constructing a random forest model; s3, feature importance evaluation; s4, evaluating feature correlation; s5, feature optimization; s6, precision evaluation; according to the method, the problem that high-precision classification and time sequence dynamic monitoring of non-resident island coastal blue carbon resources in a complex environment are difficult to realize is solved, a remote sensing fine monitoring method is provided, and only satellite remote sensing and ground monitoring data are used; and fine classification and time sequence change detection of resident-free island vegetation types are realized.

According to the marine decarburization method, the marine ship engine tail gas carbon capture and storage (CCS) system and the ship comprising the CCS system, only seawater is used for washing marine ship engine tail gas, CO2 in the tail gas is dissolved and captured, the tail gas is converted into bicarbonate ions (HCO3 <->) and then discharged into the ocean according to a legal standard process, deep carbon capture and storage of the marine ship tail gas are achieved, and the marine ship tail gas is recycled. Meanwhile, tail gas black carbon (BC) emission is deeply removed, the two challenges of CO2 emission and BC emission of green marine transportation development are solved at a time at low cost, and the low-carbon transformation method is suitable for new ships with various fuels and various purposes and existing ships to achieve green marine transportation low-carbon transformation.

To provide a nutrient supply management system capable of maximizing the amount of carbon dioxide absorbed and stored in the atmosphere by both blue and green carbon.SOLUTION: The nutrient supply management system includes an arithmetic unit that executes calculations related to nutrient salt supply management for marine and terrestrial ecosystems. The arithmetic unit includes a supplyable nutrient salt amount estimation unit that calculates the amount of supplyable nutrient salt based on the emissions of nutrient salts from point and non-point sources in the target area. The arithmetic unit also includes a decarbonization promotion effect evaluation unit that evaluates the effect of marine and terrestrial ecosystems on the supply of nutrient salts. The arithmetic unit also includes a nutrient salt proper distribution unit that sets allocations of nutrient salt supply to marine and terrestrial ecosystems based on the effect of promoting decarbonization.SELECTED DRAWING: Figure 1

The invention discloses a cofferdam beach building mangrove forest rapid construction and carbon sequestration capability improvement method, which comprises the following three core steps: 1, constructing a layered composite carbon sequestration matrix structure; a lower water storage and fertilizer conservation impervious layer composed of modified clay and waste shells, a middle core carbon sink enhancement layer composed of biochar, dewatered sludge, slow release fertilizer and growth promoting bacteria and an upper stabilizing and planting layer composed of original dredger fill are sequentially laid from top to bottom, and soil improvement and carbon sink foundation construction are achieved. Secondly, the microhabitat and intelligent hydrology in the cofferdam are precisely regulated and controlled, a tidal creek, a shallow pit and a gentle slope microtopography are artificially molded, and a natural tide rule is simulated to meet the requirements of different growth stages of the mangrove forest in cooperation with an intelligent pump station and a water-salt sensor driven by tidal energy; thirdly, an integrated carbon sink monitoring, verification and intelligent management and protection system is built, multi-source data are obtained through an Internet of Things monitoring network, the carbon sink amount is inversely predicted in combination with a digital twinborn body and an AI algorithm, credible data storage is achieved through a block chain, and growth abnormity is automatically early warned and accurate intervention is guided. The mangrove forest seedling survival rate and carbon sequestration efficiency can be remarkably improved, green, low carbon and economical efficiency are both considered, and an effective technical scheme is provided for mangrove forest ecological restoration and blue carbon asset development in the cofferdam beach building area.

The application provides a kind of blue carbon market self-adaptive accounting method based on multi-source data and bayesian update, belongs to natural resource planning and ecological management technical field;First, the standardized multi-source fusion data set is constructed through the systematic process, then the collected data is preprocessed, and the standardized blue carbon multi-source fusion data set is generated;Then, through the carbon storage estimation model based on bayesian, the prior value of the monitoring point carbon storage is output, the mean value of the monitoring point carbon storage is fused with the spatial prior value, and the distribution of the monitoring point carbon storage is updated;Finally, a carbon credit risk index system is constructed, the risk index of plot layer and regional layer is calculated, the updated monitoring point carbon storage distribution is used to update the mean value of plot layer carbon storage, and the reference transaction price of blue carbon project is generated according to the mean value of carbon storage and risk index.The application constructs a whole-chain blue carbon intelligent accounting system, realizes the interdisciplinary integration of ecological model, deep learning and carbon market mechanism.

The invention relates to the technical field of marine ecological engineering, in particular to an offshore wind power assisted marine ranching blue carbon ecological restoration method based on quantum frequency regulation, which comprises the following steps: S1, generating a quantum resonance field matched with the opening and closing period of a microbial cell membrane ion channel; s2, carrying out directional migration on free protons in seawater through a quantum resonance field; s3, regulating and controlling the conformation transformation efficiency of ATP synthetase in the photosynthetic microorganism cells; s4, generating a carbon sequestration flux dynamic mapping map; s5, adjusting the generation frequency of the seawater micro-scale vortex through the quantum resonance field; and S6, when it is detected that microbial metabolism is saturated, switching to a carbon deposition strengthening mode. According to the method, proton migration, microbial carbon sequestration and carbonate deposition processes are linked through a quantum frequency adjustment means, a blue carbon ecological restoration closed-loop system capable of cooperatively operating with an offshore wind power platform is constructed, and accurate regulation and control of the whole carbon sequestration and deposition process are achieved.

The present invention relates to a blue carbon process and a blue carbon process system for direct air carbon capture and storage. The natural energy such as wind energy, solar energy and wave energy is used. Only natural seawater (without artificial chemicals) is used to directly capture and store carbon dioxide from air. Amount of the carbon dioxide is measured and calculated. To achieve the climate goal of “net zero” carbon emission, a low-cost and large-scale net negative emission solution with zero carbon footprint, zero artificial chemical footprint and zero land footprint is provided.

The invention relates to the technical field of fishery breeding, in particular to a blue carbon comprehensive management method and management system for fishery breeding and a medium, and the method comprises the steps: dividing a to-be-managed fishery breeding region according to biological species to obtain a plurality of divided regions; identifying a basic parameter corresponding to each divided area, and determining an initial carbon sink index corresponding to each divided area according to the basic parameter of each divided area; obtaining an influence factor of each divided area, and determining a corrected carbon sink index corresponding to each divided area based on the influence factor of each divided area; determining a regional carbon sink index of each divided region based on the initial carbon sink index and the corrected carbon sink index of each divided region; and integrating the regional carbon sink indexes of all the divided regions to obtain the total carbon sink index of the to-be-managed fishery breeding region. According to the invention, the blue carbon management precision is improved, so that the fishery breeding strategy is accurately optimized.

This invention relates to a method for modeling the reflectance characteristics of three-dimensional aquatic vegetation canopy based on real-world scenarios. The steps are as follows: Leaf reflectance and transmission spectra are calculated using a plant leaf radiative transfer model; the canopy reflectance characteristics are described using canopy structure parameters and leaf BRDF (Brake-Based Flow Function) in conjunction with the actual aquatic vegetation scene; the model parameters are calibrated using the four-flow approximation and linear approximation, and then applied to approximate the solution of the canopy reflectance; finally, the LuxCoreRender physical rendering engine is used to couple incident radiation, canopy reflectance factor, water body optical properties, and observation geometry input parameters, combined with the aquatic vegetation scene, to calculate the canopy reflectance. This method establishes a high-precision three-dimensional aquatic vegetation canopy reflectance model, which helps improve the accuracy and application value of remote sensing radiation modeling. It provides an important tool platform for wetland remote sensing monitoring and ecological protection, as well as the assessment of the blue carbon sink function of coastal wetlands, and has promising prospects for widespread application.

The invention relates to a net zero carbon fossil energy production method, a CCS system and a blue carbon power station technology, which are an energy transformation engineering technical solution based on nature, and are driven by only natural seawater and carbon-free electric power to implement deep seawater absorption carbon capture and bicarbonate radical ion type ocean carbon sequestration on fossil energy of a coastal power station and the like; the whole process conforms to the current international convention and environmental protection regulations, the marine ecological environment is friendly, green and low-carbon transformation of fossil energy of a fuel gas, fuel oil and coal-fired power plant can be achieved with extremely low cost, the fossil energy can be fused with renewable energy to achieve win-win development, and the method has a great significance in large-scale utilization of marine natural carbon sink power stations necessary for achieving the 2050 net zero carbon emission climate target. And necessary conditions are created.

The invention belongs to the technical field of sewage treatment, and comprises an unmanned aerial vehicle main body and a sampler, the unmanned aerial vehicle main body comprises a control core and paddles, the paddles are uniformly distributed around the control core, the sampler is arranged in the middle of the control core in a penetrating manner, a first through hole is formed in the middle of the control core, and a plurality of driving motors are arranged at the upper end of the control core; a spindle of the driving motor is connected with a lead screw rotating shaft, the lead screw rotating shaft partially penetrates through the hole wall of the first through hole, the sampler is sleeved with the first through hole, a threaded structure is arranged on the surface of the sampler, and the driving motor can drive the sampler to move up and down in the first through hole. The method has the advantages that the mangrove forest generally grows at the shoreline mud flat, so that sampling personnel are difficult to enter for sampling on site. Mangrove forest branches and leaves grow densely, and satellite remote sensing acquisition is not accurate. Through the combination of the sampler and the unmanned aerial vehicle, the situation that acquisition personnel actually enter the deep part of the mangrove forest for acquisition can be simulated. The method is not influenced by landforms and growth environments.

The present invention provides a process for using fossil fuel to produce energy with net zero carbon emissions, a CCS system and a blue carbon power station, which are engineering technology solutions of energy transition based on nature. Only natural seawater and carbon-free electricity are used. Carbon capture of deep seawater absorption and ocean carbon storage of bicarbonate ion are performed to fossil energy facilities such as coastal power station. The entire process complies with current international conventions and environmental regulations, and is friendly to marine ecological environment. It can achieve green and low-carbon transition of fossil energy facilities such as power station using gas, oil or coal at extremely low cost, and it can also be integrated with renewable energy for mutually beneficial development. It creates necessary conditions for the utilization of marine natural carbon sink on a power station scale, which is necessary to achieve the 2050 climate goal of net zero carbon emissions.

This invention discloses a blockchain-based evidence storage and traceability method driven by marine carbon sink big data. The method includes dynamically dividing monitoring data of the blue carbon ecosystem, storing the resulting data blocks in parallel on a storage sidechain, and generating a spatiotemporal index matrix corresponding to each data block; calculating the carbon sink equivalent and carbon sink potential value of each data block; generating carbon sink digital certificates and associated NFT identifiers based on the carbon sink equivalent and carbon sink potential value; verifying the transaction participants, the carbon sink digital certificates to be traded, and the NFT identifiers in response to carbon sink transaction requests; synchronously updating the main chain, transaction sidechain, and regulatory sidechain based on the carbon sink transaction data if the transaction verification result is successful; and querying the traceability results of the carbon sink digital certificates to be queried on the main chain in response to carbon sink query requests. This method improves the efficiency of blockchain-based evidence storage and traceability.

The present application provides a kind of northward mangrove population dynamics, primary productivity and carbon flux evaluation system, the system includes: data acquisition unit, for the ecosystem of the mangrove planting area to be evaluated Data acquisition obtains original data set;Data analysis unit is used to analyze and identify original data set;Evaluation unit, with mangrove community and carbon sink dynamic evaluation model evaluates the community development and carbon sink dynamics after the northward mangrove and future change trend;Data storage unit is used to store original data and evaluation results.Model helps to understand and predict the health status and carbon sink function of coastal wetland mangrove system, can realize the comprehensive evaluation of community development and carbon sink capacity after the northward mangrove and the prediction of future trend, provide scientific basis and data support for accurate accounting of coastal wetland protection and repair after the northward mangrove and effective management of blue carbon resources.

The invention provides a multi-modal large model-based blue carbon resource remote sensing recognition and intelligent result review method. The method comprises the following steps of: segmenting a remote sensing image to generate a blue carbon vegetation pattern spot unit; performing multi-modal collaborative reasoning and classification on each pattern spot; extracting global visual feature vectors of the pattern spots through an image vectorization model; extracting texture features based on a gray-level co-occurrence matrix, HSV color space statistical features and pattern spot morphological features to form remote sensing physical feature vectors; calling the multi-modal large model, inputting cue words and image feature values fusing domain knowledge, and generating semantic interpretation feature vectors; splicing the three types of feature vectors into a joint vector, performing nonlinear transformation through a multi-layer perceptron, mapping the joint vector to a classification space through a full connection layer, and outputting a category probability and confidence; when the confidence coefficient is lower than a dynamic threshold value, an error type is analyzed based on a homologous multi-modal large model, and a diagnosis result is output; and generating a pattern spot correction instruction containing an error positioning and correction strategy.