97 results about "Carbon sink" patented technology

This invention relates to the field of ecological environment management technology, specifically disclosing a refined method and system for visualizing regional vegetation carbon sequestration. The method includes: extracting land use types of a target area based on remote sensing data of land use types and biomass; determining forest areas based on land use types and establishing growth curves for the forest areas based on preset fitting curves; calculating the carbon sequestration amount of the forest areas based on the growth curves and determining the carbon sequestration ratio of different forest areas; allocating the total carbon sequestration amount to different sub-regions of the target area based on the carbon sequestration ratios, and visually converting the allocated target areas. This invention first selects a target area, calculates the carbon sequestration amount based on the forest areas within the target area, then redistributes the carbon sequestration to different areas according to land use types, and visualizes the redistribution results, facilitating the management of the area.

This invention discloses a comprehensive assessment method and system for wetland ecological quality based on multi-indicator fusion, belonging to the field of wetland ecological protection technology. The method includes acquiring water environment index data, biodiversity index data, carbon storage index data, and remote sensing images of wetland edges; establishing a multi-indicator fusion model based on the water environment index data, biodiversity index data, and carbon storage index data to generate a basic wetland ecological quality index; generating a predicted value of the basic wetland ecological quality index based on the basic wetland ecological quality index; and generating a comprehensive wetland ecological quality index based on the remote sensing images of wetland edges and the predicted value of the basic wetland ecological quality index, and assessing the wetland ecological quality. This invention can integrate multi-dimensional ecological indicators such as water environment, biodiversity, and carbon sink function, achieving dynamic prediction of wetland ecological quality and quantitative assessment of the impact of external pressures, thus improving the comprehensiveness and foresight of the assessment results.

This invention belongs to the field of ecological environment monitoring, specifically a dynamic monitoring method for carbon flux in wetland ecosystems that integrates eddy covariance (ECD) and satellite remote sensing. The method includes the following steps: S1: Monitoring station establishment: Based on the ECD method, flux monitoring stations are established in typical areas of lake wetlands. The selected typical areas should represent the main ecological characteristics and vegetation types of the wetlands to ensure the representativeness and reliability of the monitoring data. This invention combines ECD observation with satellite remote sensing technology to achieve real-time visual monitoring of carbon flux. It provides both data accumulation and visualization, improving the accuracy and reliability of wetland carbon source / sink assessment results. Simultaneously, the visualized spatial distribution of carbon sources / sinks facilitates the detection of changes in carbon sources / sinks in wetland areas, enabling timely detection and response to changes in wetland ecosystems, and scientifically increasing wetland carbon sinks through artificial regulation.

The application discloses a forestry carbon sink dynamic measurement method and system, and relates to the technical field of forestry carbon sink measurement. The method comprises the following steps: dividing the target forest carbon sink management into a plurality of continuous compliance periods, and identifying compliance deviation events; dividing the target forest into a plurality of structure gradient blocks, evaluating the forest credit level of each structure gradient block, and generating a structure-credit correction coefficient; obtaining the carbon sink purpose information of the target forest, and generating a structure-purpose cross weight; collecting the forestry management behavior of the target forest in the compliance period, and calculating a behavior influence factor; periodically generating a risk integration level factor for each structure gradient block according to environmental uncertainty factors; and jointly correcting the original carbon sink growth value to obtain a standard carbon sink effective measurement result. The application realizes real-time and accurate measurement of the forestry carbon sink, and significantly improves the reliability and transaction value of carbon sink compliance management.

This invention provides an enclosure experimental device and method for measuring carbon sequestration in shellfish and algae, comprising: a stabilizing component, an enclosure component, a collection component, and a collection device; the stabilizing component is fixed on a marine aquaculture area, and multiple enclosure components are arranged inside the stabilizing component, each enclosure component containing a collection component for collecting shed material from aquaculture organisms; the collection device is mounted on the stabilizing component, with its lower end positioned above the collection component, and its upper end connected to a monitoring instrument via an air tube, the monitoring instrument being configured to measure the CO2 content of the air above the collection device. This invention can simulate a real marine aquaculture environment, enabling better collection of biological shed material and gas data, and improving the accuracy and scientific rigor of carbon sequestration measurement.

This invention discloses a method and system for differentiating typhoon impacts based on seawater CO2 partial pressure data. The method includes: acquiring marine situation monitoring data during typhoon passage in the target sea area through a multi-source observation platform, constructing a standardized dataset and a climatological background field; using the DBSCAN clustering algorithm to segment water masses, and combining the Man-Whitney U test and correlation analysis to determine the distribution of characteristic typhoon water masses; calculating the seawater CO2 partial pressure anomaly field based on the climatological background field, constructing a typhoon impact index time series, identifying the core impact area, and generating typhoon impact trace paths; subsequently reconstructing seawater CO2 partial pressure grid points, and constructing a spatial map of typhoon impacts; finally, analyzing the spatiotemporal changes in air-sea CO2 flux, assessing carbon sink stability, and generating a typhoon-carbon sink sensitivity zoning map. Using seawater CO2 partial pressure as the core indicator, this method overcomes the limitations of traditional methods and provides reliable technical support for assessing the marine environmental impact of typhoons.

This invention provides a zero-carbon regulation method and system for highways, relating to the field of energy regulation technology. The method includes: constructing a spatiotemporal neural network model based on historical traffic flow, weather, and time data to predict traffic density, environmental data, and carbon sink data for each section of the highway; constructing a photovoltaic output model based on photovoltaic information, incorporating dynamic pavement reflectivity and shading coefficient; calculating the carbon absorption of load-bearing structures based on carbon sink and environmental data; calculating vehicle carbon emissions based on vehicle emission type and traffic density, and combining the photovoltaic output model and the carbon absorption of load-bearing structures to calculate carbon intensity information; generating a preliminary collaborative scheduling strategy for load-bearing structures with the goal of minimizing carbon intensity information; and introducing carbon-sensitive parameters to generate the final collaborative scheduling strategy. This invention achieves full-process optimization of prediction-quantification-scheduling through multi-module innovation, improving data prediction accuracy and resource utilization efficiency.

The present application belongs to the technical field of marine carbon sink, and relates to a method for improving seawater alkalinity by using boron mud. The steps include pretreatment of the boron mud, mixing the pretreated boron mud and seawater for reaction, then aerating the reactants to strengthen the reaction, regularly monitoring the temperature, pH value, dissolved oxygen concentration and other parameters of the reaction system to ensure the stability of the reaction conditions, and finally detecting the liquid indicators directly after the reaction without solid-liquid separation to ensure that the pH value is 8.0-8.5, and returning to the ocean directly after reaching the standard. The present application not only realizes the resource utilization of boron mud, but also significantly improves the seawater alkalinity and enhances the marine carbon sink capacity.

This invention relates to the field of urban ecological monitoring and optimization control technology, and discloses a method and system for dynamic assessment and optimization of urban carbon sinks. The method includes: acquiring multi-source green space characteristic data; constructing a light energy utilization model to output a photosynthetic carbon fixation sequence; using a long short-term memory network model based on a weighted trend-maintaining loss function and a DropBlock mechanism; setting scenario influence factors to construct multi-scenario evolution results; and using a particle swarm optimization algorithm to generate optimal green space management and control parameters. Compared to existing technologies, especially under conditions of frequent human management, which struggle to achieve high-frequency dynamic carbon sink assessment and optimization control for urban green spaces of different types, this application improves the real-time performance, accuracy, and efficiency of urban carbon sink monitoring and control optimization by introducing a trend-maintaining loss mechanism and time-segment DropBlock regularization to enhance model generalization ability, and by combining multi-scenario perturbation simulation.

The application provides a highway service area carbon emission calculation system and method based on double-layer model fusion, which realizes the accurate quantification of service area carbon emission by constructing a "top-down" and "bottom-up" double-layer model fusion calculation framework. The method comprises the following steps: obtaining and preprocessing multi-source energy consumption data such as electricity and gas; classifying carbon emission sources into direct emission (fossil energy) and indirect emission (secondary energy), constructing a bill of quantities and calculating carbon emission factors; based on the LMDI decomposition model and device-level energy consumption accounting, sub-models are established respectively, the calculation results are fused by weighted average strategy, and finally the total emission is obtained by including the green land carbon sink factor. The system includes data acquisition, analysis and processing, and calculation modules, which can adapt to the spatio-temporal dynamic changes of power grid carbon emission factors and provide data support for service area low-carbon management. The application has adaptability and scalability, and can effectively improve the carbon emission calculation precision.

The application provides a carbon sink increasing system and a regulation method based on mineral slow release and root system microenvironment coupling, which comprises a buoyancy bearing base, a root system intervention assembly, a mineral reaction unit, a depth adjusting mechanism and a water body monitoring module. The buoyancy bearing base is used for providing overall buoyancy, and a rigid porous isolation sleeve is arranged at the bottom of the buoyancy bearing base. The water body monitoring module is used for monitoring water body parameters. According to the water body parameter information, the depth adjusting mechanism is controlled to drive the mineral reaction unit to switch at different height positions, so that long-acting and safe carbon sink increasing effect is realized.

The application discloses a kind of urban vegetation carbon storage remote sensing estimation methods of mixed Swin Transformer conditional generation adversarial network, including remote sensing image data preprocessing;CNN local feature is constructed and CNN local feature branch is extracted, and Swin Transformer global feature is constructed and Swin Transformer global feature branch is extracted;Multi-scale discriminator is constructed and three-stage training strategy is used, and the final carbon storage prediction result and uncertainty are output.The data input of the application uses open source remote sensing image, improves the estimation accuracy by hybrid network architecture, simultaneously, the uncertainty information of estimated is output synchronously by the probability modeling module built in the model, fills the short board that only " single point numerical result " is provided in prior art, improves the reliability and practicality of model, provides support for urban ecological planning and carbon sink transaction.

The application provides a kind of dynamic evaluation method for carbon storage of bivalve, which comprises the following steps: monitoring and collecting environmental data of typical aquaculture sea area, calculating a functional function, carrying out on-site flow experiment to determine physiological and biological parameters of bivalve, converting to obtain carbon parameters, based on dynamic energy budget theory, combining multiple environmental factors and carbon parameters to construct a carbon budget model integrating the whole physiological process, and finally simulating the carbon storage flux of bivalve in the growth cycle. The application solves the problems of static evaluation of bivalve carbon sink, insufficient consideration of environmental factor fluctuation, incomplete description of key physiological processes and insufficient precision of carbon budget quantification, and realizes the daily dynamic and accurate evaluation of bivalve carbon storage, quantifies the carbon storage contribution of shell formation and biogenic sedimentation.

The present application relates to the field of agricultural ecological environment management and carbon sink monitoring technology, and more particularly to a tea tree lossless tea garden carbon fixation and sink increase method, comprising: pyrolyzing agricultural waste to obtain biochar and making the biochar into a specific standard biochar-based fertilizer; determining tea garden soil organic matter, cation exchange capacity and soil bulk density, calculating soil quality comprehensive coefficient by using improved Nemerow comprehensive index method and dividing soil quality grades according to the soil quality comprehensive coefficient; applying the biochar-based fertilizer in a differentiated application amount according to the soil quality grades; determining tea tree aboveground biomass after fertilization and calculating tea tree carbon storage according to a corresponding carbon storage model selected according to the age of the tea tree; simultaneously determining soil parameters to calculate tea garden soil carbon storage; and finally taking the tea tree carbon storage and the soil carbon storage as the total carbon sink of the tea garden. The present application realizes systematic, accurate and lossless monitoring of tea garden carbon fixation and sink increase technology.

This invention relates to the field of carbon sequestration assessment technology, specifically a method and system for assessing the dynamic changes of vegetation carbon sequestration in high-altitude mining areas. The invention obtains multi-source data from the target area of ​​a high-altitude mining area through multi-source data collection, and then analyzes it to obtain four core permafrost parameters: aerodynamic roughness, water and heat flux contribution rate, heterogeneity attenuation coefficient, and insulation efficiency attenuation coefficient. Based on these four core parameters, a comprehensive quantitative assessment is performed to obtain permafrost assessment parameters, addressing the shortcomings of existing technologies that do not couple permafrost dynamics and eliminating the systematic bias in carbon sequestration simulation caused by static soil parameters. Furthermore, by comprehensively analyzing the permafrost assessment parameters and vegetation carbon sequestration parameters, a comprehensive carbon sequestration index for each pixel is obtained, and a carbon sequestration report for the target area is output. This quantifies the impact of mining disturbance and ecological restoration on vegetation carbon sequestration, providing a quantitative basis for optimizing mining area restoration plans.

The application provides a carbon sink potential prediction method and device fusing remote sensing and model technology. The carbon sink potential prediction method fusing remote sensing and model technology comprises the following steps: inputting multi-temporal remote sensing data into a vegetation type identification model based on historical remote sensing data and historical vegetation type labels to obtain vegetation structure dynamic distribution data; inputting the vegetation structure dynamic distribution data into a regional carbon-nitrogen cycle model based on historical crop distribution data and vegetation and soil dynamic data to obtain a regional carbon-nitrogen cycle dynamic simulation result; and determining carbon sink data according to the regional carbon-nitrogen cycle dynamic simulation result. The application can break through the bottleneck of insufficient regional scale carbon accounting data and high uncertainty, and realize carbon sink maximization.

The application discloses a heterogeneous carbon sink node encryption method and system based on assimilation inversion feedback, and relates to the field of carbon sink monitoring networks.The method comprises the following steps: obtaining multi-source observation data and background driving data collected by ordinary nodes and core nodes, inputting the data into a surface carbon cycle model for data assimilation, obtaining posteriori carbon flux estimation results and a posteriori covariance matrix of each spatial grid; extracting local uncertainty and carbon flux spatial gradient based on the posteriori results, calculating a spatial heterogeneity risk index to determine candidate grids with higher monitoring risks; simulating the covariance updating process of the candidate grids after the addition of new core nodes or the upgrading of ordinary nodes, quantifying the expected reduction amount of global estimation uncertainty, and combining the risk index, the expected reduction amount and resource budget constraints to generate a heterogeneous node encryption strategy. Thus, the monitoring resources can be adaptively concentrated in high-uncertainty and high-heterogeneity areas, and the observation accuracy and configuration efficiency of the carbon sink monitoring network can be improved.

The present application provides a kind of carbon fixation ecological substrate and preparation method thereof, carbon fixation ecological substrate includes base layer composite material and vegetation surface layer composite material, base layer composite material, by weight fraction, including the following components: modified phosphogypsum powder, blast furnace slag micro powder, Portland cement, modified biochar, nanocellulose, water-based epoxy resin, alkaline activator, fiber reinforced component and water;Vegetation surface layer composite material, by weight fraction, including the following components: modified phosphogypsum powder, blast furnace slag micro powder, guest soil, modified biochar, carbon fixation microbial inoculum, plant growth regulator, grass and shrub mixed seed and water.The present application is to solve the technical problems that the ecological substrate in the prior art is difficult to consider structure stability, ecological compatibility and carbon sink function cannot be efficiently coordinated.

The present application relates to the technical field of marine ecological restoration evaluation, and specifically discloses a method for evaluating the ecological effect of island carbon sequestration, comprising: collecting sediment and biological time series data in the target island carbon sequestration area, applying wavelet transform and random forest fusion to multi-scale decomposition of the sediment organic carbon time series signal, identifying hydrodynamic noise and biological carbon sequestration characteristic spectrum, screening disturbance-resistant carbon components and constructing a carbon stability index; based on the carbon stability index, combining partial least squares path modeling and XGBoost, constructing a biological-sediment causal chain, analyzing the differential regulation path of seagrass roots and seaweed attachment devices on benthic biodiversity and sulfide dynamics, and outputting the biological path coefficient; the present application effectively distinguishes hydrodynamic noise and biological carbon sequestration characteristic spectrum by wavelet transform and random forest fusion for multi-scale decomposition of the sediment organic carbon time series signal, screens disturbance-resistant carbon components and constructs a carbon stability index, and realizes quantitative separation of physical disturbance and biological carbon sequestration contribution.

The application discloses a kind of based on carbon source-sink and biological process's preferential protection area demarcation method, comprising: obtaining the multi-source remote sensing data of research area, generates the ecological resistance surface of research area;Based on circuit theory extraction ecological corridor and ecological node, construct the static ecological network of source-corridor-node structure;For the spatio-temporal heterogeneity characteristics of ecological source, the supply and demand of carbon fixation service of ecological source are calculated;Carbon fixation service as important ecological resources, according to the characteristics of biological migration from low resource habitat to high resource habitat, compare the supply and demand ratio of carbon fixation service between ecological source, to determine the trend of ecological corridor, calculate the flow radius of ecological source carbon sink supply area, according to flow radius determine the biological flow relationship between ecological source, divide ecological source into carbon source protection area and carbon sink protection area.

This invention belongs to the field of farmland carbon sink prediction technology, specifically involving a method and system for predicting farmland carbon sinks based on meteorological factors. It scientifically selects key control factors (net radiation, soil temperature, saturated vapor pressure difference, and soil moisture content) using a recursive feature elimination method to ensure that the input features have clear ecological significance. A composite loss function containing physical constraints and temporal consistency terms is designed to embed the photosynthetic mechanism and the dynamic changes in carbon sinks into the model training objective. An AR-RF additive ensemble model is used to progressively fit the residuals, improving prediction accuracy and endowing the model with ecological interpretability and robustness under extreme conditions. This constrains the pure data-driven model output, thereby improving the prediction accuracy of farmland carbon sinks.

This invention provides a method and apparatus for carbon sink calculation based on multidimensional carbon stratification. The method includes: acquiring vector data of ecological protection and restoration projects in the area to be calculated and determining its completeness; for complete ecological protection and restoration project vector data, performing carbon stratification on different land categories based on different stratification factors to obtain carbon stratification results; for incomplete ecological protection and restoration project vector data, acquiring corresponding land change data, and spatially and attributely fusing the land change data with the incomplete ecological protection and restoration project vector data to obtain carbon stratification baseline data; determining fused and non-fused areas based on the carbon stratification baseline data, performing carbon stratification on different land categories in the fused areas based on different stratification factors, and performing carbon stratification on non-fused areas based on land change data to obtain carbon stratification results; and calculating carbon sinks based on the carbon stratification results. This method can improve the accuracy of carbon sink calculation.

This application relates to the field of zero-carbon determination technology, and provides a method for determining a zero-carbon watershed. The method includes: obtaining the annual average carbon emissions, annual average carbon sink, and annual average clean energy carbon neutrality contribution of a target watershed; and determining the target watershed as a zero-carbon watershed based on the annual average carbon emissions, annual average carbon sink, and annual average clean energy carbon neutrality contribution. This application enables the scientific determination of zero-carbon watersheds in a manner adapted to the characteristics of the watershed, thereby helping to clarify the boundaries and connotations of zero-carbon construction and realizing the systematic advancement and practical exploration of zero-carbon construction.

The present application relates to the technical field of ecological environment restoration evaluation, in particular to a quantitative evaluation method of ecological environment restoration. It comprises constructing an ecological environment restoration quantitative evaluation model and performing targeted quantitative regional framing according to the ecological environment restoration quantitative evaluation model. The present application divides the restoration region into multiple unit detection regions, maps the corresponding carbon sink quantity values and influence vector values to the corresponding restoration region simulation diagram, generates the carbon sink quantity change trend evolution path and the influence vector change path, obtains the influence vector change path of the single influence vector value according to the influence vector mapping set, performs path interweaving marking in combination with the carbon sink quantity change trend evolution path, feeds back the representation state of the current unit detection region through the path interweaving type and quantity, calculates the weight score of each unit detection region through the ecological environment restoration quantitative evaluation model, and realizes targeted quantitative regional framing, thereby reducing the quantitative evaluation workload.

The application discloses a distributed carbon storage prediction method under changing environment, comprising the following steps: S1. Real-time multi-source data is obtained, wherein the multi-source data comprises regional basic geographic information, meteorological data, land use / cover change data and carbon-related data; S2. A hydrological-ecological coupling model is constructed based on the obtained multi-source data; S3. Based on the constructed hydrological-ecological coupling model, a plurality of sets of changing environment scenarios are set, and the combined interference effect of human activities and natural changes on regional carbon cycle is evaluated. The hydrological-ecological coupling model constructed by the application realizes high-precision, dynamic and spatialized prediction of the carbon storage of the research region, effectively solves the problem of high-precision simulation and prediction of the carbon dynamics of the basin under the influence of climate change and human activities, and is helpful for researchers to scientifically formulate regional carbon sink management and carbon neutralization policies.

The application relates to the technical field of data processing, and discloses a forestry carbon sink satellite remote sensing data correction method. The method is based on a satellite transit time window to implement multi-source time synchronization collection on satellite-borne, airborne and ground measured data, combines micro-meteorological data, digital elevation model data and crown laser radar data to simulate carbon sinks at different elevations at a single time point, and completes simulation correction through remote sensing radiation transmission coupling and eddy correlation data assimilation; further, according to the deviation of measured values and simulated values at different elevations, elevation-specific correction parameters are calculated, a three-dimensional correction parameter field of space-time-elevation is constructed and is adaptively updated; and finally, the correction parameters are used to uniformly correct, weightedly fuse and optimize residuals of satellite-borne data and airborne data. The application can improve the correction accuracy, spatial adaptability and processing efficiency of multi-source forestry carbon sink detection data under complex terrain conditions.

The application relates to the field of building physical environment simulation and energy-saving control technology, and discloses a green building microclimate regulation emission reduction and carbon sink increase method based on a city, which comprises the following steps: obtaining point cloud data and environmental parameters, solving an initial heat flow path, and calculating a directional velocity component and an air flow influence weight; using a pre-trained deep convolutional neural network to interactively deduce the directional velocity component and the initial heat flow path to obtain a predicted heat distribution, and comparing to obtain a deviation value matrix; performing layout optimization to obtain adjusted layout parameters, and performing boundary calculation to obtain an optimized heat flow path and a velocity vector field; constructing a non-equilibrium region and performing boundary correction processing to obtain a heat transfer difference; inputting a preset heat and humidity coupling equation to solve a maximum fluctuation amplitude; and using a pre-trained graph neural network to topologically deduce the optimized heat flow path to obtain an interaction model. The method realizes high-precision microclimate simulation.