28 results about "Blue carbon" patented technology

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 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 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

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 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 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.

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 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 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.

The present invention relates to a method for precisely detecting a blue carbon vegetation area on the basis of remote sensing, the method comprising the steps of: receiving a spectral image and recording same in memory; determining a blue carbon vegetation area on the basis of spectral information of blue carbon vegetation from the spectral image; determining a non-blue carbon vegetation area on the basis of spectral information of non-blue carbon vegetation from the spectral image; generating information about an overlapping area in which the blue carbon vegetation area and the non-blue carbon vegetation area overlap; determining a final blue carbon vegetation area in which the overlapping area has been deleted from the blue carbon vegetation area by a processor; and providing the final blue carbon vegetation area.

To provide an observation device and an observation method of a water area environment capable of freely navigating an unmanned navigation body without being affected by seaweed or the like, and capable of observing a blue carbon ecosystem more inexpensively and efficiently than before.SOLUTION: The unmanned ground vehicle includes a self-propelled unmanned ground vehicle (20) and a control device (50) for remotely controlling the unmanned ground vehicle (20), the unmanned ground vehicle (20) including a hull (30) and a measuring unit (40), the hull (20) including a frame-shaped hull frame (31) having corners, a plurality of floating bodies (32) provided at intervals on an outer peripheral portion of the hull frame (31), and a plurality of sets of rotor units (35) erected on an upper portion of the outer peripheral portion of the hull frame (31) so as to face each other at positions not interfering with the floating bodies (32).SELECTED DRAWING: Figure 1

The utility model discloses a pretreatment device for detecting the content of blue carbon in a seaweed bed, relates to the technical field of detection of the content of carbon in the seaweed bed, and solves the problem that the accurate measurement of the content of blue carbon is interfered due to a large amount of impurities contained in sediments in the seaweed bed in the prior art. Comprising a control box and a cleaning barrel, the bottom of the cleaning barrel is connected into the control box, the top of the cleaning barrel is connected with a sealing cover, a draining box is connected into the cleaning barrel in a clamped mode, and the side wall of the cleaning barrel is connected with a water inlet pipe and a water outlet pipe; the side wall of the cleaning barrel is further connected with an air inlet pipe and an air outlet pipe, the outer side wall of the cleaning barrel is connected with a heating wire along the circumferential side, the heating wire is electrically connected with a temperature controller, and the temperature controller is connected into the control box. And the control box is electrically connected with the driving motor and the temperature controller. The device has the beneficial effects that the collected seaweed bed sample can be pretreated, impurities are removed, experimental errors and interference factors are reduced, and the accuracy of blue carbon content detection is ensured.

The invention discloses a block chain evidence storage tracing method based on ocean carbon sink big data driving, which comprises the following steps: dynamically dividing monitoring data of a blue carbon ecological system, storing data blocks obtained by division in an evidence storage side chain in parallel, and generating a spatial-temporal index matrix corresponding to the data blocks; calculating a carbon sink equivalent and a carbon sink potential value of the data block; generating a carbon sink digital certificate and an associated NFT identifier of the carbon sink digital certificate according to the carbon sink equivalent and the carbon sink potential value; in response to the carbon sink transaction request, performing transaction verification on the transaction participant, the to-be-transacted carbon sink digital certificate and the NFT identifier; if the transaction verification result is passed, synchronously updating the main chain, the transaction side chain and the supervision side chain based on the carbon sink transaction data; and in response to the carbon sink query request, querying the to-be-queried carbon sink digital certificate traceability result of the main chain, so that the block chain certificate traceability efficiency is improved.

This invention discloses a method for assessing carbon sources or sinks in blue carbon ecosystems based on a net ecosystem carbon budget framework. It integrates multiple disciplines and technologies, including satellite remote sensing, ecosystem flux observation, determination of water and soil carbon biogeochemical indicators, hydrological observation and simulation, and model simulation and analysis, to establish a system for assessing carbon sources or sinks in coastal wetlands based on the net ecosystem carbon budget framework. An application practice was conducted using the Yellow River Estuary salt marsh tidal flat wetland as an example. The method for estimating carbon sources or sinks in coastal wetlands provided by this invention simultaneously considers key processes such as surface-atmosphere exchange and the carbon budget of river inputs and outputs to the nearshore area, achieving accurate assessment of carbon sources or sinks in coastal wetlands.

The invention discloses a construction method of a tidal flat siltation promotion and carbon sequestration restoration system based on suaeda salsa-tamarix chinensis synergy, and belongs to the technical field of coastal zone ecological restoration and blue carbon sink increasing. Aiming at the technical bottlenecks of unbalanced carbon reservoir structure, insufficient engineering-biological synergy and unsmooth activated carbon conversion in the existing tidal flat restoration, the method constructs a'microtopography-vegetation dam-vegetation 'three-level synergy system based on a near-nature solution (NbS); efficient restoration of a tidal flat ecological system is achieved through the core steps of high-precision surveying and mapping and micro-disturbance terrain finishing, soft energy dissipation unit arrangement, suaeda glauca-tamarix chinensis cooperative vegetation configuration, three-order micro-layer base improvement, engineering-biology cooperative siltation promotion and self-adaptive maintenance. The method has ecological benefits and economic feasibility, is suitable for restoration of mucky tidal flat and estuary degraded wetland in a temperate zone sea area, and provides an efficient and sustainable technical scheme for convergence increase of a blue carbon ecological system and ecological protection of a coastal zone.

To solve the problem that a seaweed bed is not rapidly increased, the problem that seaweed is eaten by fish and sea urchin, and the problem that the optimum growing condition of seaweed is changed by global warming.SOLUTION: A floating type wooden artificial island is floated on the sea or a lake, a wooden frame is set in the sea or an underwater part of the wooden artificial island, a sheet is set on the wooden frame, culture soil is set on the sheet, and seaweed or fresh water algae are planted in the culture soil. A plurality of closed wooden boxes for keeping buoyancy are set in the wooden artificial island, the upper sides of the closed wooden boxes are set so as to be exposed on the sea, a hatch with a lid is set on the upper sides of the closed wooden boxes, water can be injected and discharged from the hatch to the inside of the closed wooden boxes by a pump, and the depth of the growth of the seaweed or the fresh water algae can be adjusted.SELECTED DRAWING: Figure 1

The invention relates to the technical field of ecological system evaluation, in particular to a blue carbon evaluation method and device for a mangrove forest, electronic equipment and a storage medium, and the method comprises the steps: collecting field observation data of the mangrove forest based on literature retrieval; acquiring a plurality of explanatory variables according to the field observation data, and preprocessing the plurality of explanatory variables to obtain processed data; and constructing a blue carbon evaluation model of the mangrove forest by using the processed data, and outputting a coastal blue carbon storage evaluation result of the mangrove forest by using the blue carbon evaluation model. Therefore, the problems that the coupling relation between the structure attribute and the environmental element of the mangrove forest is not fully considered in the related technology, the sample data distribution is unbalanced, the deviation of the blue carbon evaluation result is easily caused, and the reliability and the precision of the evaluation are difficult to guarantee are solved.

This invention discloses a method and system for time-series remote sensing monitoring of mangroves based on adaptive denoising and automatic sampling. The method includes: acquiring time-series remote sensing images of the study area and constructing an annual image sequence; performing adaptive filtering to generate annual low tide composite images and annual median composite images, and extracting multi-dimensional remote sensing features; automatically constructing a candidate sample pool of mangroves and non-mangroves based on a global mangrove distribution dataset, dividing the study area into spatial grid units, optimizing training samples through an iterative adaptive sampling strategy, and constructing a classification model to generate an annual distribution map of mangroves. Post-processing of the classification results yields the monitoring results. This method achieves efficient time-series monitoring of mangroves through adaptive denoising and automatic sampling, and has advantages such as high automation and strong adaptability. It can be widely applied to scenarios such as coastal ecological restoration and blue carbon assessment, representing an innovative application of remote sensing information technology in the field of coastal ecological monitoring.

The utility model relates to an offshore wind power integrated blue carbon ecological system which comprises a blue carbon ecological unit, a triboelectric water turbine device and an offshore wind power generator set, the blue carbon ecological unit comprises an LED lamp strip and seaweed, and the LED lamp strip is arranged on the outer side of the seaweed in a surrounding mode; the triboelectricity water turbine device comprises a rotating part, an upper chassis and a triboelectricity small ball, the wall face of the upper chassis is provided with a first friction face made of a triboelectricity material, the triboelectricity small ball is located in the upper chassis, the surface of the triboelectricity small ball is provided with a triboelectricity material opposite to the first friction face in polarity, and the rotating part is movably connected with the upper chassis. The rotating piece can drive the small triboelectric ball to roll in the upper chassis; the triboelectric water turbine device is electrically connected with the LED lamp strip, and the triboelectric water turbine device can utilize friction nanometer power generation to supply power to the LED lamp strip; the offshore wind turbine generator is electrically connected with the LED lamp strip and can supply power to the LED lamp strip through wind power generation.