18 results about "Blue carbon" patented technology

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.

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 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.

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 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

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.