1545 results about "Carbon sequestration" patented technology

The invention relates to the technical field of forest carbon sequestration, in particular to a forest carbon sequestration remote sensing monitoring method and system, and aims to solve the problems that in the prior art, a carbon sequestration prediction result can be obtained by inputting a target area image into a preset carbon sequestration model, a more comprehensive carbon reserve prediction model cannot be constructed in combination with a vegetation index, and the carbon sequestration prediction result cannot be obtained by using the preset model. The problem that the prediction result is inaccurate due to the fact that the features of specific tasks cannot be effectively handled is solved. According to the invention, ground survey data and vegetation indexes are combined through the prediction model construction module to construct a comprehensive carbon reserve prediction model, and the carbon reserve prediction model is obtained through machine training learning and can effectively cope with the characteristics of a specific task, so that the prediction accuracy and flexibility are improved; and a high-resolution carbon reserve distribution map is generated through an efficient machine learning algorithm, scientific decision and management are supported, and an important tool is provided for carbon reserve research.

Carbon Capture, Utilization, and Storage (CCUS) is a relatively new technology directed to mitigating climate change by reducing greenhouse gas emissions. Current and new government requirements require proof that carbon dioxide (CO2) is either sequestered in a stable form or safely stored for long periods of time. In instances when the CO2 is sequestered through mineral formation, the need for long-term monitoring can be reduced, as the stability of the sequestered CO2 is inherent based on a chemical change in subterranean rocks. The reactions between CO2 and rock formations are influenced by numerous factors, including temperature, pressure, fluid composition, and the mineralogy of the formation. Furthermore, these reactions occur over large spatial areas and long timescales, making them difficult to monitor directly. Methods and systems of the present disclosure, therefore, may use a combination of laboratory experiments, field monitoring, and modeling to provide convincing evidence of CO2 mineral sequestration.

The invention aims to provide a mine ecological restoration carbon sequestration rate prediction method for solving the problems of an existing ecological restoration carbon sequestration rate prediction method. The method comprises the following steps: step 1, collecting multiple parameter multi-source data including vegetation growth, earth surface change and soil change of an ecological restoration area; 2, integrating the data, and constructing a dynamic prediction model for the change of the mine ecological restoration carbon sequestration rate; 3, verifying and optimizing the prediction model by using historical data and field observation data; and 4, adopting a machine learning technical means for the optimized prediction model, and establishing a quantitative relationship between the carbon sequestration rate change and ecological restoration means of land utilization, vegetation coverage and soil attributes. The method overcomes the influence of extreme climate events on the carbon sequestration rate of an ecological system, can accurately predict the change trend of the carbon sequestration rate under different ecological restoration strategies in the future, and provides a powerful scientific basis for ecological restoration of a mining area.

The invention relates to a mangrove forest vegetation carbon sink monitoring and metering method based on an unmanned aerial vehicle and an AI technology, and the method comprises the steps: constructing a mangrove forest recognition model of a U-Net improved model based on a PyTorch deep learning framework through the unmanned aerial vehicle AI technology, achieving the intelligent recognition and discrimination of various mangrove forest vegetations, and the area and number of regions thereof, and achieving the accuracy of 90% or above; through regular aerial photography monitoring of an unmanned aerial vehicle, in combination with growth parameters measured on site and variable parameters derived from aerial photography data of the unmanned aerial vehicle, an optimal fitting model of mangrove forest height crown breadth, overground biomass and unit leaf area based on aerial survey of the unmanned aerial vehicle is constructed, and the carbon reserve and carbon sequestration amount of mangrove forest region vegetation are accurately calculated. And comprehensively evaluating the mangrove forest carbon sequestration capability in the monitoring area. According to the application, intelligent, digital and comprehensive monitoring and evaluation of the mangrove forest wetland vegetation carbon sequestration capability are realized.

The invention discloses an intelligent land engineering carbon sink regulation and control system and method based on dynamic management, and belongs to the technical field of land engineering carbon sink regulation and control. The multi-source spatio-temporal data comprises vegetation indexes, soil parameters, meteorological data and carbon dioxide flux data; the data processing and analyzing module is used for performing fusion processing on the multi-source spatio-temporal data, inverting and calculating the carbon sink or carbon source state of the target area in real time based on a built-in carbon sink accounting model, and generating a carbon sink spatio-temporal distribution diagram; the intelligent decision-making module is used for diagnosing a carbon sink capacity limiting factor based on the carbon sink space-time distribution diagram and generating land engineering regulation and control strategies for different sub-regions; and the execution and feedback module is used for issuing the regulation and control strategy to an execution terminal or a management platform. The method improves the carbon sequestration capacity and regulation and control efficiency of land engineering.

The invention discloses a thin mutual coal seam fracturing, gasification and carbon sequestration integrated method. The method comprises the steps of geological exploration and coal seam refined evaluation; a middle horizontal well is drilled downwards from the ground; top and bottom horizontal wells are planned and drilled in the uppermost and lower sandstone stratums of the thin mutual coal seam; a plurality of top and bottom fishbone wells are drilled obliquely downwards and upwards in the top and bottom horizontal wells; oxygen-enriched water vapor is injected into the middle horizontal well through a continuous oil pipe, the oxygen-enriched water vapor is squeezed into the reservoir under the action of high pressure, and fracturing operation is conducted; initiating an underground gasification process of the coal seam, and synchronously performing extraction operation of the coal seam gas; supercritical CO2 fracturing operation is conducted on the top horizontal well and the bottom horizontal well; injecting water-based fracturing fluid into the top horizontal well and the bottom horizontal well; gasified materials generated by coal seam combustion gasification and desorbed methane gas are extracted through the middle horizontal well, and supercritical carbon dioxide injected before is sealed for a long time. According to the method, the limitation of a traditional hydraulic fracturing technology can be solved, and the transformation effect of the reservoir can be improved.

The invention discloses a gobi photovoltaic base ecological restoration carbon sequestration benefit evaluation method and system, and particularly relates to the technical field of ecological environment governance, and the method comprises the following steps: dividing a photovoltaic base region into a photovoltaic panel lower region, a photovoltaic panel inter-row channel region and a photovoltaic field peripheral region, building corresponding ecological simulation models for different regions, and constructing a photovoltaic field simulation model; simulation data are obtained and substituted into the first common calculation model and the second common calculation model respectively, calculation results of all the areas are summarized and substituted into a pre-trained machine learning model, and an output result is an ecological restoration carbon sequestration benefit value used for representing the final score of overall ecological restoration of the photovoltaic base; according to the method, the vegetation restoration and soil carbon storage process can be dynamically simulated, compared with a traditional static monitoring method, the future ecological restoration trend can be predicted, scientific support is provided for long-term ecological management, a targeted ecological optimization scheme can be provided based on regionalized simulation, and the ecological value of renewable energy sources is improved.

The invention provides a carbon neutralization evaluation method for an ecological park, and the method comprises the steps: obtaining the basic data of various carbon assets in the ecological park, and the basic data comprises the natural ecological system carbon sink capability and human activity carbon emission intensity data; according to the carbon asset basic data, a time sequence analysis method is adopted to carry out modeling on the change trend of the carbon sink capacity and the carbon emission intensity, and a change trend model is obtained; modeling the spatial distribution of the carbon reserves and the carbon flux by utilizing a geographic information system technology and combining a change trend model to obtain a spatial distribution model; key variables are extracted from the spatial distribution model, and the effects of different factors on the carbon assets are quantified by adopting a multiple regression analysis method; acquiring carbon asset monitoring data, evaluating data quality, and if an abnormal value exists, performing correction by adopting a data cleaning algorithm; and according to the corrected carbon asset data, adopting a random forest model to predict the carbon sink capacity and the carbon emission intensity, and generating a dynamic evaluation result.

The invention discloses a multi-modal data fused karst forest soil carbon cycle feature extraction method. The method comprises the following steps: acquiring soil physical and chemical protection component carbon data, bioactive component carbon data, isotopic tracing data and the like of different succession stages of a karst forest to establish multi-source heterogeneous data; integrating the obtained multi-source heterogeneous data into a'physical-chemical-biological-isotope 'four-dimensional feature space through feature tensor decomposition; constructing a carbon saturation capacity prediction hybrid optimization model, and outputting lt; the maximum carbon sequestration capacity and component carbon proportion of 53 [mu] m microaggregates; the method comprises the following steps: performing mineralization culture on soil in different succession stages of the karst forest, analyzing a dynamic proportion of exogenous carbon to original soil carbon and an input / output path of soil carbon in combination with a 13C / 15N double-standard-sample time-varying calibration curve, and calculating a carbon stability disturbance threshold. According to the method, collaborative analysis of multi-source data is realized, and the temporal-spatial resolution and the model precision of carbon cycle feature extraction are remarkably improved.

The invention belongs to the technical field of carbon sequestration, and particularly relates to a fluidization reaction device and method for efficiently mineralizing carbon dioxide by solid waste, and the method comprises the following steps: pretreating the solid waste to obtain solid waste powder; the method comprises the following steps: atomizing an alkaline solvent into water mist, inputting CO2 gas and the water mist into a fluidized bed reactor by utilizing a fan, and adding solid waste powder into the fluidized bed reactor; the mass ratio of the water mist and the solid waste powder entering the fluidized bed reactor and the gas flow speed of the CO2 gas and the water mist are adjusted, gas-liquid-solid three-phase fluidization is conducted on the solid waste powder in the fluidized bed reactor under driving of the gas phase of the CO2 gas, and mineralization reaction is conducted; after full reaction, discharging solid waste powder by using a rotary discharging device, and drying the solid waste powder to constant weight by using a constant-temperature drying box to obtain an auxiliary cementing material; according to the method, the contact efficiency and the mass transfer rate of the solid waste and CO2 can be improved, the solid waste can quickly react with CO2 gas in the fluidized bed reactor, the reaction time is remarkably shortened, and the low cost and the high efficiency of the CO2 mineralization reaction of the solid waste powder are realized.

The invention discloses a low-cost, large-quantity and efficient carbon dioxide curing method for a tailing filling body, which adopts a two-step carbon sequestration method and comprises the following steps of: firstly, grinding and screening a tailing raw material, and chemically exciting and activating; secondly, the activated tailings are subjected to first-step carbon sequestration through cooperation of a wet method and ultrasonic, and carbon sequestration tailings are prepared; then preparing a mine filling body by using the carbon sequestration tailings and cementing materials such as cement; and finally, through second-step carbon sequestration maintenance, the carbon sequestration filling body with the high carbon sequestration amount is obtained. The carbon sequestration in the first step can stimulate the carbonization and gelation activity of the tailings and increase the carbon sequestration amount on one hand, and nano calcium carbonate and silica gel formed in the prepared carbon sequestration tailings optimize the structural compactness of the filling body and improve various properties on the other hand. According to the carbon sequestration filling body prepared through the second step of carbon sequestration, the compressive strength of 3 days can reach 3 MPa or above, the compressive strength of 28 days can reach 5 MPa or above, the carbon sequestration amount can reach 13 wt.% or above, and the carbon sequestration filling body has the advantages of being simple in process, good in performance and low in cost.

A processor-implemented method for calculating emissions and measuring carbon sequestration levels is provided. The method includes (i) registering, by a user device, a first entity associated with an amount of carbon emission and a second entity associated with an amount of carbon absorption to create an account in a blockchain-based system using user details, (ii) obtaining satellite images and the drone images of the land cover of the second entity from a satellite source database, (iii) monitoring the plurality of satellite images and the plurality of drone images of the land cover of the second entity by creating land coordinates to calculate a carbon sequestration level associated with the second entity using an AI model, and (iv) training the AI model using an algorithm by categorizing the carbon sequestration level with known species of the second entity and the known tree species includes a drone image and the date when the image is captured.

A lidar system and an inversion method for simultaneously detecting carbon sequestration efficiency of the oceanic biological pump and ocean environmental dynamic parameters. The information of Mie scattering and Brillouin scattering intensity and the information of frequency shift and linewidth of Brillouin scattering spectra are combined, and for the detection requirements of the current ocean carbon cycle and dynamic environmental parameters, the vertical profile distribution of the carbon cycle mechanism and environmental dynamic parameters in the euphotic layer is mainly detected; at the same time, the present disclosure constructs an inversion model of the carbon sequestration efficiency of the oceanic biological pump and the temperature and salinity of the environmental dynamic parameters and realizes the synchronous detection of the carbon sequestration efficiency of the oceanic biological pump and the vertical profile distribution of the ocean environmental dynamic parameters in the euphotic layer.

The invention provides an urban carbon neutralization path analysis system and an analysis method thereof. The urban carbon neutralization path analysis system comprises a data acquisition module, a data arrangement module, a region division module, a carbon balance calculation module, a path setting module, a path analysis module and a result output module, according to the invention, through regular rasterization region division, fine modeling of the city space is realized; the carbon sequestration capacity is dynamically estimated by combining multiple types of carbon sources and multiple types of vegetation carbon sequestration factors with an NDVI time sequence index, so that a carbon-oxygen balance calculation result has time sensitivity and spatial resolution; meanwhile, the path analysis module supports a user to set various energy structures, traffic modes and greenbelt lifting parameter combinations to form a multi-path parallel simulation matrix, the selection space of path decision is effectively expanded, the system can realize comparable carbon neutralization evolution analysis according to regions and time periods, and the effects of improving the analysis precision and enhancing the path deduction capability are achieved.

The invention belongs to the field of atmospheric environment monitoring, and particularly relates to a portable multi-point soil CO2 continuous monitoring and data remote transmission system. According to the portable multi-point soil CO2 continuous monitoring and data remote transmission system, the closed air chamber-non-dispersive infrared method is adopted for measuring the soil CO2 concentration, the SenseAir carbon dioxide sensor is connected with the portable soil breathing air chamber, remote and anti-interference wireless data transmission is achieved through the LoRa technology, and the system is simple in structure, convenient to use and high in practicability. The portable multi-point soil CO2 continuous monitoring and data remote transmission system is manufactured. Therefore, automation of multi-point continuous monitoring of soil CO2 in a large-scale range is realized, the dynamic change process of soil respiration is accurately mastered, and a scientific basis is provided for making carbon sequestration and emission reduction measures.

The invention provides a mineralization grouting method for reinforcing sequestration of carbon dioxide, and belongs to the technical field of underground goaf grouting filling, the working process comprises the steps that supercritical CO2, micro-nano filler and calcium-containing solid waste are jointly mixed and mixed into slurry, the slurry is injected into a goaf, part of CO2 is turned into a gaseous state to escape in the state of being lower than the supercritical pressure of CO2, and then the CO2 is discharged; bubble cores are formed on the surface of the micro-nano filler, and uniformly distributed micropores are formed in a stone body after the slurry is solidified. Due to the fact that the micropores can seal gaseous CO2, the carbon sequestration amount of the slurry per cubic meter can reach 150-350 kg, and the carbon sequestration capacity of the slurry is higher than the carbon sequestration capacity of a common grouting material. The technological method is easy to operate, supercritical CO2 reacts with the slurry, a large amount of CO2 in the shallow goaf is stored, the solid waste material is used for grouting, meanwhile, the carbon sequestration amount of the slurry is increased, and the grouting cost is saved.

Low-carbon, carbon-neutral, and carbon-negative asphalt composites are disclosed. The composites comprise an asphalt binder and a functionalized biochar incorporated as a partial replacement for the binder and / or mineral filler. The biochar is physically, chemically, or mineralogically modified to enhance dispersion, interfacial bonding, mechanical performance, and carbon sequestration. The invention further includes methods for producing such composites, biochar-based additive compositions, and kits for practical implementation. Applications include asphalt pavements, waterproofing membranes, crack sealants, conductive deicing systems, and VOC-reducing asphalt mixtures. The resulting materials demonstrate improved durability, thermal and electrical properties, and significant reductions in greenhouse gas emissions.

The invention provides a park green land vegetation optimization system based on carbon sink capability improvement and a method thereof, relates to the field of urban ecological environment, and aims to improve the carbon sink benefit of a green land through scientific optimization, the system comprises a data acquisition module, a carbon sink evaluation module, a vegetation optimization module and an intelligent monitoring module. The data acquisition module acquires data such as soil quality, climate conditions and vegetation types by using a multi-source sensor; the carbon sequestration evaluation module quantifies the carbon sequestration capacity of the green land through a carbon fixed quantity formula and a carbon storage quantity model; the vegetation optimization module adopts an intelligent optimization algorithm to generate a capability of giving consideration to carbon sink based on the optimization objective function; and the intelligent monitoring module evaluates a green land optimization effect through real-time monitoring data and dynamically adjusts vegetation configuration. The carbon sink optimization method provided by the invention comprises four steps of data acquisition, carbon sink evaluation, vegetation optimization design and dynamic monitoring, and efficient configuration is realized for different green land types by utilizing an accurate model and an optimization algorithm.

The invention discloses a biochar carbon sequestration and emission reduction soil respiration detection device and an accounting method, and belongs to the technical field of carbon sequestration and emission reduction, the biochar carbon sequestration and emission reduction soil respiration detection device comprises a soil accommodating unit, a gas collecting unit, a gas detection unit, a data recording unit and a processing unit; preparing a plurality of groups of soil samples containing different proportions of biochar, and determining the carbon content of the biochar in each sample by using an organic carbon analyzer; all the soil samples are placed in a soil containing unit simulating a field environment, corresponding temperature and humidity conditions are set, and a detection device is started for gas collection; detecting the carbon dioxide concentration of each gas sample, and calculating to obtain the carbon emission; and based on the data, calculating the total amount of charcoal carbon sequestration and emission reduction of each soil sample through a preset mathematical model. And finally, analyzing the carbon sequestration and emission reduction effect of the biochar by using a multiple regression model, and evaluating the influence of different factors on carbon sequestration and emission reduction.

The present invention discloses a comprehensive system for the marine sequestration of carbon by injecting a slurry of diverse residual biomasses into deep-sea sediments. Central to the innovation is a meticulously designed flexible pipe system, which efficiently transports the slurry from storage units to the seafloor, significantly reducing the energy required for the overall injection process. The system also includes an adapted bulk carrier vessel, uniquely modified for seamless biomass transport, handling, and quality maintenance. The vessel is equipped with state-of-the-art energy generation systems, emphasizing renewable sources, and incorporates environmental considerations to minimize ecological impact. The injection process is optimized through a series of specialized equipment and detailed operational parameters, ensuring precise control and adaptability to various sediment types, depths, and environmental conditions. Additionally, the invention offers several unique embodiments catering to different needs, providing a flexible, cost-efficient, and environmentally responsible solution to ocean-based carbon storage. The system leverages the vastness of the oceans and the unique properties of various biomasses, offering a cutting-edge response to the global challenge of carbon sequestration.

The invention discloses a floating wind power platform self-energized carbon capture and deep sea sealing integrated system, which comprises a floating platform foundation, which comprises a plurality of buoy parts, and the buoy parts are integrated through connecting parts; the double-path carbon capture subsystem comprises an air carbon capture module and a seawater carbon capture module; the air carbon capture module introduces air into the adsorption module through negative pressure, and selectively adsorbs CO2 in the air; the seawater carbon capturing module is used for separating out CO2 from seawater in an electrochemical separation mode; the carbon sequestration subsystem is used for compressing, liquefying and sequestration the CO2 conveyed by the double-path carbon capture subsystem; and the wind power function subsystem comprises a wind power generation tower and power distribution equipment for supplying power to each subsystem. The platform is reasonable in configuration and high in function integration degree, has the advantages of wind energy driving, autonomous operation, continuous carbon capture, on-site storage and the like, is particularly suitable for deep and far sea areas without seabed pipe networks and far away from shore-based power grids, and can be used for application scenes such as wind power plant carbon compensation and ocean carbon removal.

The invention discloses a photovoltaic power station emission reduction and carbon sequestration evaluation method and system based on an STILT mode, and relates to the technical field of photovoltaic power station emission reduction and carbon sequestration evaluation, and the method comprises the steps: carrying out the parameterization of the data of a photovoltaic panel, considering the albedo and surface roughness of the panel, and obtaining the parameters of a photovoltaic power station; according to the parameters of the power station, fitting a photovoltaic output model by using a least square method, and representing a photoelectric conversion process; the carbon emission reduction amount is calculated according to the power generation amount of the power station in combination with marginal emission factors, and the vegetation carbon sink below the photovoltaic panel is evaluated by using a WRF-STILT model. According to the method, the main physical process in the photovoltaic power station can be accurately represented, a simple photovoltaic land surface process mode is established, and reference is provided for climate mode analysis; and meanwhile, the carbon emission reduction and carbon sink effects of the photovoltaic power station are evaluated, so that the evaluation is more accurate. According to the method, more accurate concentration contribution source area distribution is obtained through multiple nested simulation, and important support is provided for photovoltaic power station carbon income and expenditure evaluation.

The utility model provides a CO2 carbon sequestration device based on coal ash slurry injection. The CO2 carbon sequestration device comprises a CO2 inlet pipeline, a feeding device, a coal ash slurry tank, a stirring device, an injection device and a CO2 outlet, the feeding device is communicated with the fly ash slurry tank and is used for providing fly ash and water into the fly ash slurry tank; the stirring device is arranged in the fly ash slurry tank and is used for mixing and stirring the fly ash and the water into fly ash slurry; an opening is formed in the upper part of the coal ash slurry tank; the CO2 inlet pipeline and the CO2 outlet are communicated with the upper part of the coal ash slurry tank; and the spraying device is communicated with the coal ash slurry tank through a fluid conveying device so as to spray the coal ash slurry in the CO2 gas inlet pipeline and below the CO2 gas outlet.

The invention discloses a calculation method of an agricultural water and soil resource optimal allocation scheme based on'water-carbon-grain-economy-ecology 'coupling, and relates to a calculation method of a regional agricultural water and soil resource optimal allocation scheme. The method aims at solving the problem that in an existing agricultural water and soil resource allocation method, water resources, economic benefits, carbon resources and ecological benefits are difficult to balance and coordinate. The method comprises the following steps: 1, analyzing supply and demand of agricultural water and soil resources; 2, constructing a regional agricultural water and soil resource multi-objective optimization configuration model by taking different land utilization types as decision variables, taking water resources, economic benefits, carbon resources and ecological benefits as optimization objectives and taking available water amount and total planting area as main constraint conditions; and 3, solving by adopting an optimization algorithm to obtain an agricultural water and soil resource optimization configuration scheme. According to the method, water resources, economic benefits, carbon sequestration benefits and ecological benefits are incorporated into the same optimization framework, target optimization is efficiently and accurately carried out, and the method can be applied to the field of agriculture.

The invention relates to the technical field of wetland ecological restoration. The invention discloses a wetland carbon sink capacity improving method and system based on intelligent regulation and ecological restoration, and the method comprises the steps: laying a multi-parameter sensing network, and monitoring the water level, vegetation growth and soil wetland carbon reserve parameters in real time; obtaining a vegetation NDVI index and surface temperature data, and analyzing the vegetation NDVI index and the surface temperature data to obtain an ecological restoration strategy; according to an ecological restoration strategy, carbon sink dominant plants are combined, and emergent aquatic plants, submerged plants and floating-leaved plants are matched; strengthening the microorganisms, and inoculating a carbon sequestration fungicide; establishing a carbon sink-environmental parameter response model according to the historical intelligent regulation and control data; and inputting the ecological restoration strategy into the carbon sink-environmental parameter response model for analysis, and adjusting ecological restoration data according to an analysis result of the carbon sink-environmental parameter response model. According to the invention, intelligent response to environment change is realized, and the carbon sink efficiency is dynamically optimized.

The invention belongs to the field of carbon sequestration, and particularly relates to a carbon sequestration dynamic estimation method for summarizing multi-village carbon emission data, which comprises the following steps: step 1, collecting multi-village carbon emission source data and carbon confluence data with annual time as a period, and numbering the carbon emission source data and the carbon confluence data after the accounting range and boundary are determined according to village levels; the method comprises the following steps: counting carbon emission and carbon sink data of multiple villages in a historical period, acquiring a carbon balance correlation coefficient related to the carbon emission and carbon sink data by virtue of a carbon emission estimation model and a carbon sink dynamic estimation model, and confirming a carbon sink dynamic variable by virtue of the carbon balance correlation coefficient when carbon emission is increased in rural construction. According to the method, the area and space related to carbon sequestration are dynamically adjusted in the country, positive correlation of a carbon sequestration dynamic variable and a carbon emission dynamic variable is ensured, and a corresponding strategy and scheme are proposed based on the carbon sequestration dynamic variable, so that the requirements of carbon peak reaching and carbon neutralization are met when the country is constructed.

The invention relates to the field of man-made forest carbon sequestration, and particularly discloses a man-made forest carbon sequestration monitoring report automatic generation system and method.The method comprises the steps that firstly, carbon dioxide values of different environment heights, needle-leaved man-made forest growth environment data and needle-leaved man-made forest ecological productivity text data collected by a carbon dioxide monitor are obtained; and then feature extraction and correlation analysis are performed on the three by using a deep learning technology, and finally a man-made forest carbon sink monitoring report is generated through a generator, so that more accurate and effective support is provided for man-made forest management and environmental protection.

The invention discloses a park scale vegetation carbon sink calculation method based on a visible light vegetation index, and the method comprises the following steps: obtaining a visible light orthographic image of a target park, and calculating a blue-green ratio index GBRI of the pre-processed visible light orthographic image, extracting and converting raster data of a vegetation coverage area in an integral pixel of the visible light orthographic image, and inputting the raster data into a visible light vegetation index calculation model to obtain a visible light vegetation index in the range of the target park; collecting the specific information of the vegetation to obtain the carbon reserve of the vegetation in each sample plot and the carbon sequestration of the vegetation in each sample plot; establishing a park vegetation carbon reserve estimation model by using the carbon reserve of the vegetation in each sample plot and the corresponding different visible light indexes in each sample plot; establishing a park vegetation carbon sequestration amount estimation model by using the carbon reserves of the vegetation in each sample plot and the corresponding different visible light indexes in each sample plot; according to the method, efficient and accurate calculation of the park vegetation carbon sequestration is realized.

The invention discloses efficient carbon sequestration Brucella from an oil-containing solid waste residue source and application of the efficient carbon sequestration Brucella. The Brucella is Brucella sp A54-5 with the preservation number of CCTCC (China Center for Type Culture Collection) NO: M20241650. The Brucella is obtained through ARTP mutagenesis and screening by taking Brucella Brucella sp A54 separated from oil-containing solid waste residues of an oil field as a starting strain, has excellent characteristics of reducing pollution and sequestration carbon and relatively strong stress resistance, and has the advantages of deep recycling (soil transformation) of the oil-containing solid waste residues, improvement of the carbon sequestration capacity of petroleum-contaminated soil and improvement of the oil-containing solid waste residues. The method has a wide application prospect in the fields of petroleum-polluted soil remediation and the like, and has great significance in pollution reduction and convergence increase in petroleum and petrochemical industries under the background of supporting double carbon.

The invention relates to the technical field of ecological environment protection, in particular to a mangrove forest carbon sink monitoring and metering method based on an unmanned aerial vehicle, a radar and an AI technology, and the method comprises the steps: 1, obtaining the laser radar data of a mangrove forest through a laser radar carried by the unmanned aerial vehicle; step 2, acquiring elevation data in a mangrove forest vegetation layer area, and obtaining point cloud data after topographic error correction; 3, obtaining a multispectral image of the mangrove forest, and obtaining a multispectral data matrix; 4, identifying forest growth data features, constructing a mangrove forest carbon sink prediction model, and predicting the mangrove forest carbon sink amount; step 5, marking the image region with the NDVI value higher than a preset NDVI threshold value as a blade over-dense region; and according to the area of the overdense leaf region and the multispectral data matrix, calculating a light depression factor by using a photosynthetic depression factor formula, determining the carbon sink deviation of the overdense leaf region by using a regional carbon sink deviation formula, and obtaining a real carbon sink value of the mangrove forest according to a carbon sink calculated value obtained by prediction.