85 results about "Ecosystem carbon" patented technology

The invention discloses a forest carbon sink function monitoring method based on multi-source data. The method comprises the following steps: collecting data such as vegetation, soil, weather, landform and interference factors; the collected data are preprocessed; the preprocessed data are input into a Biome-BGC model for processing, and ecological system carbon flux parameters are obtained; determining a vegetation carbon sink amount and a soil carbon sink amount based on an ecological system carbon flux parameter, and obtaining a comprehensive carbon sink amount by combining artificial and natural interference carbon emission amounts; determining the forest carbon sink potential through a constructed forest carbon sink potential calculation formula based on the calculated comprehensive carbon sink amount; based on the calculated comprehensive carbon sink amount, time stability, space stability and anti-interference stability are determined, weighted summation is carried out on the time stability, the space stability and the anti-interference stability, and the carbon sink stability is determined; according to the method, the forest carbon sink function is monitored through multi-source data, the monitoring accuracy is improved, and the forest carbon sink potential, the carbon sink stability and the investment value are accurately quantified.

The invention provides a coastal salt marsh vegetation and sediment deposition comprehensive carbon sink assessment method and system. The system comprises a vegetation dynamic module, a water power module, a carbon dynamic module and a vegetation dynamic-water power-carbon dynamic coupling module. Output results are divided into vegetation-water and sediment-landform space-time dynamic and ecological system carbon exchange space-time dynamic, and the results are used for landform development and carbon sink dynamic evaluation of the salt marsh-light beach system. On the basis of development of a grid type process model, a vegetation dynamic model, a hydrodynamic model and a carbon dynamic model are coupled together, a biogeochemical coupling model integrating interaction among biological, hydrological and geomorphic processes is constructed, and a biogeochemical process of coastal salt marsh vegetation dynamic and sediment carbon sink is parameterized; and an effective evaluation technology can be provided for community development and carbon sink dynamics of coastal wetland vegetation.

The invention relates to the technical field of remote sensing technology and forest ecological system carbon sink monitoring, and particularly discloses a forest carbon sink dynamic monitoring method based on near-surface multi-source remote sensing data, which comprises the steps of S1, data acquisition, S2, data processing, S3, forest change information monitoring, S4, forest carbon reserve estimation, S5, forest carbon sink dynamic analysis and S6, result verification and uncertainty analysis. By integrating multi-source information such as the multispectral data, the laser radar data and the field survey data, the structure and functional characteristics of the forest ecosystem can be comprehensively and accurately reflected. Compared with a single data source, the comprehensive data acquisition mode has the advantages that the precision and reliability of forest parameter extraction can be remarkably improved, and a solid foundation is provided for subsequent forest carbon reserve estimation and carbon sink dynamic analysis.

The invention provides a forest ecosystem carbon sink future scene simulation method and system, and belongs to the technical field of administrative management purpose information. Based on a high-precision curved surface simulation HASM method, processing the climate data and the soil data respectively, and extracting pixel values of the position of the forest sample plot in the climate raster data and the soil raster data into forest sample plot data to obtain a forest sample plot environment information data set; designing a plurality of future scenes of the forest ecosystem under different management measures; and simulating the carbon density of each future scene by using a Forest-DNDC model, predicting the carbon density of other areas except a forest sample plot by using a random forest model, and carrying out HASM simulation by taking a prediction result as an initial field and taking a simulation result output by the Forest-DNDC model as a control condition to obtain forest and soil carbon density raster data in the future scenes. According to the method, the simulation precision can be effectively improved, and a scientific basis is provided for formulating county scale forest management and climate alleviation policies in the future.

The invention discloses a multi-model coupled regional terrestrial ecosystem carbon reserve estimation method, which is suitable for the field of carbon cycle and carbon reserve estimation. The method comprises the following steps: firstly, collecting remote sensing data, and then estimating overground, underground and soil annual carbon density mean values of a regional terrestrial ecosystem by adopting an ARIMA model; the method comprises the following steps: clustering regions with different carbon densities by adopting a CatBoost model, dividing the carbon densities of a regional ecological system into low, medium and high levels, and avoiding the influence of spatial heterogeneity among different density levels on subsequent model training; an RNN model is constructed to evaluate the carbon density conditions of different levels of unit grids, and interannual dynamic carbon density parameters of different types of ecosystems are obtained based on multi-source data; and finally, calculating the carbon reserves of the unit grids, analyzing the annual average change trend and the spatial distribution condition of the carbon reserves, and realizing accurate evaluation of the regional terrestrial ecosystem carbon sink. The method is simple in step and good in using effect, and the change condition of the carbon sink capacity in the corresponding time can be obtained according to the sampling time interval of the input data.

The invention discloses a regional GPP assimilation inversion system fusing foundation-multi-source satellite chlorophyll fluorescence, and belongs to the technical field of terrestrial ecosystem carbon cycle monitoring. The signal unmixing and simulation generation module is used for unmixing the total fluorescence of the mixed pixels into pure chlorophyll fluorescence (SIF) and driving an ecological model to generate SIF and GPP simulation values based on environmental stress data; the state component decoupling module is used for decoupling the total GPP analog value into a light response fast component, a light response slow component and a light response memory component; the state evolution prediction module is used for predicting dynamic evolution of the slow component and the memory component; and the self-adaptive assimilation inversion module is used for performing inversion on the region GPP by taking the slow component and the memory component as state variables, taking the SIF observation value as observation data and combining a prediction result of the state evolution prediction module. According to the method, systematic deviation caused by model simplification or data singleness in a traditional method is overcome.

The invention relates to an ecological system carbon sink evaluation method, which comprises the steps of generating a continuous climate distribution grid based on a global ecological system type and climate element data, extracting multi-dimensional characteristic parameters of temperature, rainfall and a carbon sink value through an improved weighted K-means clustering algorithm, quantifying climate transition zone boundary fuzziness in combination with a covariance matrix, and evaluating the ecological system carbon sink evaluation result. Dynamically adjusting the weight of the spatial variation coefficient; a simulated annealing algorithm is utilized to optimize correlation between the division scale and the carbon sink response, and a multi-scale regression model is constructed to generate a high-precision carbon sink distribution diagram; further fusing the remote sensing vegetation index and the ground actual measurement data, and eliminating the evaluation error caused by the conflict between the boundary fuzziness and heterogeneity of the transition zone; according to the method, the problems of insufficient climate-ecology interaction dynamic response modeling and low boundary division precision in the prior art can be solved, the reliability of carbon sink evaluation in complex areas such as forest-grassland interlaced areas and coastal wetlands is remarkably improved, and scientific data support is provided for ecological restoration project site selection and carbon trading markets.

The invention provides a method and a system for estimating organic carbon reserve change of soil in a vegetable field in a short time, and belongs to the technical field of soil measurement. The method comprises the following steps: acquiring net ecosystem carbon income and expenditure (NECB); and estimating the organic carbon reserve of the vegetable field soil by using net ecosystem carbon income and expenditure (NECB). According to the method, the organic carbon reserve of the soil in the vegetable field can be quickly estimated, the influence of different farming measures on the organic carbon reserve of the soil in the vegetable field in a short period can be known, and farmers and agricultural managers can optimize management measures such as fertilization, irrigation and planting modes; carbon emission and fixed conditions of a farmland ecosystem can be determined, so that the speed and the degree of climate change can be better predicted, and reasonable vegetable planting management measures can be taken in time.

A method for calculating carbon storage in a mixed forest ecosystem is provided. The method includes: acquiring basic geographic data, meteorological data, eco-physiological parameter, thinning management history data, and validation data; proposing an improved biome-biogeochemical cycles (Biome-BGC) model suitable for simulating carbon storage of a mixed forest ecosystem under management by improving a phenology module, adding a thinning operation management module, and optimizing the eco-physiological parameter, based on an existing Biome-BGC model; simulating, by taking a pine-oak mixed forest as a research object, the carbon storage based on the improved Biome-BGC model; validating the improved model; analyzing sensitivity of the eco-physiological parameter by an extended Fourier amplitude sensitivity test (EFAST) method; and selecting a highly sensitive parameter, and analyzing an effect of the highly sensitive parameter on the carbon storage by a path analysis method. The improved model exhibits good performance in calculating the carbon storage of the mixed forest.

The invention relates to the technical field of mine ecological restoration and carbon reserve estimation, in particular to a coal mining subsidence area ecological system carbon reserve estimation method and system.The method comprises the steps that S1, a coal mining subsidence area is divided according to land utilization types, and the range and area of each land utilization type are determined; s2, dividing the coal mining subsidence area according to a space state, and forming a land utilization grid table with a unique code with each land utilization type; s3, obtaining an initial carbon density parameter corresponding to the land utilization type, calculating the surface subsidence, and carrying out differential correction on the carbon density parameter of each subarea of the coal mining subsidence area; and S4, calculating the total carbon reserves of different collapse stages, analyzing the carbon reserves, the carbon sequestration amount and the spatial distribution of each land utilization type, and comprehensively analyzing the time change characteristics of the carbon reserves. According to the method, the carbon density change is analyzed in combination with land utilization and the collapse state, and the time-space evolution characteristics of the carbon reserves in the coal mining subsidence area are evaluated.

The invention relates to a multi-scale ecological system carbon metering method, a metering model establishing method and system, equipment and a medium, and belongs to the technical field of ecological environment monitoring. The establishment method comprises the following steps: collecting continuous data of the carbon flux of the net ecosystem with different scales, and corresponding environmental factors and spatial heterogeneity parameters; performing data preprocessing on the continuous data of the carbon flux of the net ecosystem with different scales; performing feature construction on the continuous data of the carbon flux of the net ecosystem with different scales after data processing, the corresponding environmental factors and the spatial heterogeneity parameters; performing training data set construction on the data after feature construction; and based on the constructed training data set and the integrated learning model, completing the establishment of the multi-scale ecological system carbon measurement model. According to the invention, fusion of continuous data of the carbon flux of the net ecosystem with different scales is realized, and refined monitoring of the carbon of the ecosystem at different spatial positions is realized.

The invention discloses a forest land ecosystem carbon reserve accounting method and system, and the method comprises the steps: obtaining and screening feature variables, such as optical remote sensing data, vegetation indexes, texture factors, satellite-borne laser radar feature parameters, so as to determine features having the most influence on a target variable, and removing redundant and irrelevant variables; the method comprises the following steps of: screening characteristic variables, reserving variables which contribute to the model prediction effect, improving the precision and stability of the model, constructing a canopy height inversion model by adopting a random forest method based on the screened characteristic variables, realizing accurate estimation of the canopy height, and finally calculating the biomass of vegetation of the forest ecological system by using a different-speed growth equation. And finally, summarizing the biomass of the vegetation of the forest ecological system to obtain the total biomass of the vegetation, and multiplying the total biomass of the vegetation by the carbon-containing coefficient to obtain the vegetation carbon reserve of the forest ecological system, so that wide-area and efficient forest parameter monitoring is realized, the monitoring cost is reduced, the environmental adaptability is improved, and the problems of data continuity and standardization are solved.

The invention discloses a farmland carbon and nitrogen cycle adjusting system based on an ecological model and an implementation method of the farmland carbon and nitrogen cycle adjusting system, and relates to the technical field of ecological adjustment. The system comprises a farmland information database, a visual circulating system and an adjusting system. The farmland information database comprises fertilization amount, climate conditions, soil characteristics and farmland management; the visual circulating system is used for simulating element migration among soil, plants and atmosphere, emission of greenhouse gases, organic matter analysis, CO2 generated by root respiration and dynamic behaviors of a soil carbon library and a nitrogen library; the system comprises a carbon nitrogen cycle adjustment analyzer and an early warning module. Soil data is collected in real time and imported into the mixed neural network model for carbon nitrogen cycle adjustment analysis, the optimal fertilizer usage amount and irrigation amount of the corresponding soil are calculated, the adjustment scheme is generated according to the analysis result, and the accuracy and efficiency of ecological system carbon nitrogen cycle monitoring are improved.

The invention provides a regional ecosystem carbon sink function evaluation system, which is based on remote sensing data and meteorological data, estimates vegetation net primary productivity (NPP) and soil heterotrophic organism respiration consumption (Rh) through a CASA model and a regression equation model respectively, and further calculates net ecosystem productivity (NEP) to evaluate the carbon sink function of a regional ecosystem. The system considers a plurality of parameters such as photosynthetically active radiation (APAR), actual light energy utilization rate (epsilon), a temperature stress factor, a water stress factor and the like, and ensures the accuracy and scientificity of estimation. The system can be widely applied to the fields of regional carbon sink monitoring, ecological environment evaluation, climate change research and the like, and provides a scientific basis for regional sustainable development.

The invention discloses an ecological carbon sink monitoring method based on data processing, and relates to the technical field of ecological carbon sink monitoring, and the method comprises the following steps: S1, obtaining the current physiological parameters of each plant in vegetation of a to-be-monitored region, and determining the vegetation influence degree of the to-be-monitored region; s2, collecting the carbon emission of the to-be-monitored area in the historical time period; and S3, determining the final carbon emission at the next moment according to the vegetation influence degree of the to-be-monitored area and the carbon emission at the historical time period. According to the method, the complexity and the collaboration of the carbon circulation of the ecological system are comprehensively reflected, and the complex mechanism of the carbon circulation of the ecological system is precisely restored, so that the monitoring result can better reflect the real ecological nature of carbon sink.

The invention discloses a mangrove forest wetland soil carbon reserve assessment method, device and equipment and a storage medium, and the method comprises the steps: obtaining remote sensing image data, and carrying out the ground feature coverage classification of a to-be-assessed region; the hyperspectral reflectivity data of soil at different depths are actually measured by using a ground feature spectrometer; performing layered evaluation on the actually measured hyperspectral data by combining a soil density evaluation model and an organic carbon content evaluation model to obtain the soil density and the organic carbon content of each sampling point at different depths; determining soil carbon reserves at different depths of each sampling point based on the soil density and the organic carbon content at different depths of each sampling point; and carrying out spatial interpolation processing on the soil carbon reserves at different depths of each sampling point to obtain a carbon reserve distribution diagram of the to-be-evaluated region. According to the method, the sample points are determined by using the remote sensing image data, and the soil carbon reserves at different depths are determined by combining the hyperspectral data actually measured on site of the sample points with the evaluation model, so that comprehensive and accurate evaluation of the carbon reserves of the whole ecological system is realized.

The invention discloses a land ecosystem carbon reserve change prediction method based on a multi-land utilization scene, and relates to the technical field of ecosystem carbon reserve prediction. The method comprises the following steps: setting a spatial resolution of land utilization, obtaining historical land utilization data of a to-be-evaluated region, carrying out reclassification, forming a first-level land type of the to-be-evaluated region, obtaining a high-definition land utilization type graph of the to-be-evaluated region, constructing a driving factor influencing land utilization change, and obtaining a high-definition land utilization type graph of the to-be-evaluated region. Historical data of the driving factors are obtained to serve as land utilization driving samples, land utilization changes of the to-be-evaluated area are simulated through a Flus model, the land utilization scene type of the area is set according to a development planning strategy of the to-be-evaluated area, and according to the simulation result of the Flus model, the land utilization scene type of the to-be-evaluated area is set. And obtaining prediction results of the number of typical land utilization and the spatial distribution condition of the to-be-evaluated region under each scene type, and respectively calculating the total carbon reserve and carbon density of the to-be-evaluated region under each prediction result by using the InVEST model.

The invention discloses a forest ecosystem carbon reserve determination method based on multi-source remote sensing data, and the method comprises the steps: constructing and analyzing a dominant tree species multi-temporal multi-feature classification data set according to Sentinel-1 and Sentinel-2 multi-source remote sensing data and research area forest resource checking vector data extraction; classifying the dominant tree species according to the multi-feature multi-temporal remote sensing data; and estimating the forest carbon reserves of different dominant tree species according to the optimal classification data set and the forest stock. According to the method, forest multi-feature and multi-temporal feature data are obtained by means of multi-source remote sensing data, and combined dimension reduction and separability analysis are performed, so that advantageous tree species spatial distribution is extracted, a forest stock and biomass linear model is fitted, and carbon reserve spatial distribution and features of a research area are estimated. And basic data and a practical basis are provided for further strengthening forest ecological system protection and implementing forest carbon reserve accurate improvement measures.

The invention discloses a carbon source and sink accounting method based on flux observation, an ecological system carbon reserve accounting system and a flux observation carbon source and sink accounting system are established, and the ecological system carbon reserve accounting system obtains carbon reserves of plants, soil, water and ground mud based on a sample point investigation method to estimate the carbon reserves of the ecological system. Estimating regional carbon reserves in combination with remote sensing survey; the flux observation carbon source sink accounting system is based on the constructed wetland carbon sink monitoring system and monitors data in real time; regional ecological system carbon reserve dynamic accounting is carried out by combining sample plot investigation with a carbon sink model and a remote sensing image technology, compared with the prior art, long-term fixed observation sample plots are set from multiple angles of lake wetland water, soil and gas generation, and Hongze lake wetland carbon sink observation data acquisition is carried out; and carrying out parameter adjustment and correction by utilizing a modern technical means and a large model technology, carrying out Hongze lake carbon sink model construction, and realizing Hongze lake carbon sink value accounting.

The invention provides an ecological system carbon sink accounting method and system based on a territorial space planning target. The method belongs to the technical field of carbon income and expenditure, and comprises the steps: obtaining and integrating basic data of ecological system carbon sink accounting and territorial space planning, and constructing a high-precision territorial space database based on the basic data; dividing the research area into different types of land utilization units according to a territorial space planning target, and determining carbon sink key parameters of each type of land utilization unit; the method comprises the following steps: collecting and integrating basic data related to ecological environment and territorial space planning through multiple ways, and constructing a high-precision territorial space database containing various information such as remote sensing images, topography and landform, climate, land utilization status, vegetation coverage and the like; through parallel computing and resource optimization management, efficient data preprocessing and spatial overlay analysis are realized, and a solid data basis is provided for subsequent carbon sink accounting.

The invention discloses a method for analyzing sensitivity of terrestrial ecosystem carbon cycle to drought, and relates to the field of carbon neutralizer.The method comprises the steps that terrestrial ecological data are collected and preprocessed, a standardized soil humidity index is calculated, and a drought event is recognized through a three-dimensional clustering method; drought characteristics are extracted, the correlation degree of the standardized land ecological data and the drought characteristics is calculated by using a Pearson's correlation method, and importance degree sorting is performed on the standardized land ecological data in combination with an interpretable machine learning method to obtain main climate driving factors; analyzing the influence degree of the drought characteristics on the change trend of the main climate driving factors by using a multi-source linear regression method; and analyzing the influence degree of the main climate-driven factors on the carbon cycle during the drought period by using the partial correlation coefficient between the main climate-driven factors and the carbon flux. The invention discloses the change rule of the land carbon sink driven by different climates.

The invention discloses a wetland carbon sink monitoring system and a carbon sink evaluation method, and the wetland carbon sink monitoring system is designed based on open circuit / closed circuit vorticity. Detection equipment of the wetland carbon sink monitoring system comprises a carbon dioxide analyzer, a three-dimensional ultrasonic anemorumbometer, a methane analyzer, sunlight-induced chlorophyll fluorescence observation equipment and micrometeorological monitoring equipment, and a carbon sink model is constructed based on the wetland carbon sink monitoring system. Main greenhouse gases are monitored in real time, high-frequency continuous atmosphere-vegetation interface and atmosphere-water body interface carbon income and expenditure data are obtained, wetland and water body ecological system carbon sink time change characteristics are revealed, a carbon sink model is constructed in combination with micrometeorological monitoring and environmental data, the Hongze lake wetland carbon sink pattern and influence factors are clarified, and the wetland carbon sink time change characteristics are analyzed. And estimating the wetland carbon sink potential of the Hongze lake.

The invention provides a high spatial resolution vegetation productivity method and system based on flux observation footprint, and relates to the technical field of ecological system carbon cycle process and model simulation, the method comprises the steps of calculating the flux footprint of each station, and determining the observation range of a vortex motion related system, and micrometeorological parameters comprise the height of an observation tower and the rough length; extracting land satellite high-resolution normalized vegetation index data matched with a 16-day period in the range of each station; utilizing the vegetation index data to drive and optimize a parameter framework based on a vortex motion correlation light energy utilization rate model; in combination with site carbon flux data, a Markov chain Monte Carlo method is adopted to invert model key parameters for optimization, and finally a model optimization parameterization result is obtained. The method has the beneficial effects that the accurate verification of the observation and remote sensing high-resolution GPP on the pixel scale based on the flux footprint is realized, and the problem that the current medium-resolution GPP cannot consider the parameter optimization and verification scheme of the flux footprint is solved.

The invention discloses a centralized photovoltaic power station carbon emission reduction and ecological system carbon income and expenditure comprehensive evaluation method. The method comprises the following steps: determining an influence area of a photovoltaic power station based on a remote sensing image; calculating the net primary productivity of the influence area, and constructing a monthly / year-by-year productivity time sequence B of the influence area; calculating net ecosystem productivity # imgabs0 # according to productivity data and soil respiration consumption of the influence area; inputting remote sensing attribute variables and climatic factors of the influence area into a productivity prediction model to obtain net ecosystem productivity # imgabs1 #; fusing the # imgabs2 # and the # imgabs3 # by adopting a weighted average fusion method to generate a productivity fusion value; based on the fusion value, calculating the carbon income and expenditure of the influence area in a set time range; calculating the carbon emission reduction of the photovoltaic power station based on the annual average generating capacity and the power marginal emission factor of the research time period; calculating the proportion of the carbon income and expenditure in the total carbon benefit, and taking the proportion as an ecological contribution index ECCR; the ECCR is positive, the larger the ECCR is, the stronger the carbon sequestration capacity of the ecological system is, and when the ECCR is negative, the system is a carbon source.

The invention provides a modeling method and system applied to ecological system carbon library monitoring under influence of water-power engineering, and the method comprises the steps: obtaining a drainage basin geographic information data set and a water-power engineering operation data set, and carrying out the water flow dynamic feature analysis of the drainage basin geographic information data set and the water-power engineering operation data set; the method comprises the following steps: obtaining a watershed water flow dynamic feature vector set, deducing soil physicochemical property offset and vegetation community structure variation according to the watershed water flow dynamic feature vector set, coupling the soil physicochemical property offset and the vegetation community structure variation to carry out carbon cycle process digital quantitative modeling, and generating a carbon reservoir reserve change sequence. And constructing an ecological system carbon library monitoring model under the influence of the hydropower engineering based on the carbon library reserve change sequence. According to the method, the accuracy of water-power engineering ecosystem carbon sink effect evaluation and prediction is effectively improved, and a more reliable basis is provided for related decisions.

The invention belongs to the field of ecological system carbon circulation, particularly relates to a time sequence-oriented carbon release scene dynamic forward modeling method and system, and aims to solve the problems that detail changes cannot be grasped, mixed release of multiple carbon sources cannot be recognized and the forward modeling frequency is limited during existing carbon release scene forward modeling. The method comprises the following steps: selecting a target curve and determining a potential carbon source; identifying potential fluctuation of the target curve and dividing stages; generating a carbon release mode in each stage based on a random sampling method, and inputting the carbon release mode into the carbon cycle model for simulation; and calculating an error and screening an optimal carbon release mode. According to the method, multiple carbon release modes can be efficiently generated, the coverage range of extreme conditions and complex carbon release scenes can be expanded, high-precision simulation can be realized, and the dynamic evolution process of the complex carbon release scenes can be further optimized.

The invention discloses a seaweed bed ecosystem carbon content measuring device, and relates to the field of seaweed bed carbon content measurement, the seaweed bed ecosystem carbon content measuring device comprises a box body, the top of the box body is provided with a rolling transfer mechanism, a collecting mechanism is hung on the rolling transfer mechanism, and the upper surface of the box body on one side of the rolling transfer mechanism is provided with a feeding mechanism; a drying combustion chamber is formed in the position, below the feeding mechanism, in the box body, a feeding port is formed in the top of the drying combustion chamber, and a drying mechanism is installed in the drying combustion chamber. By arranging the collecting mechanism, sea grass samples can be collected through a first clamping hopper and a second clamping hopper in a hoisting and hanging mode, a manual diving collecting mode is replaced, and rapid collecting is completed; and by arranging the feeding mechanism, the effects that the first clamping hopper and the second clamping hopper are automatically stirred to be opened, and the collected sea grass samples automatically fall and are put into the next working procedure can be achieved.

The present application relates to the technical field of atmospheric science and environmental science, in particular to a method for distinguishing urban anthropogenic carbon emission and natural flux, which has the technical scheme as follows: a high-temporal and high-spatial resolution regional carbon assimilation system is used to obtain the temporal and spatial distribution information of CO2 concentration in the city; ensemble root mean square filter method is used to assimilate the simulated concentration and the observed concentration to obtain the optimal net carbon flux; the present application realizes real-time and quantitative distinction of anthropogenic emission and natural flux, calculates high-temporal resolution anthropogenic CO2 concentration contribution (F) by measuring total atmospheric CO2 concentration (C) and NO2 concentration, uses ensemble root mean square filter method to assimilate the high-temporal resolution anthropogenic CO2 concentration contribution (F) to obtain optimized anthropogenic carbon emission, and subtracts the optimized anthropogenic carbon emission from the posterior net carbon flux to obtain the ecosystem carbon flux, thereby realizing accurate distinction of anthropogenic emission and natural flux.

The invention provides a drainage basin green carbon library construction method and device based on evaluation-feedback regulation and a storage medium, and relates to the technical field of green carbon libraries, and the method comprises the steps: obtaining a core carbon data set under a drainage basin scale; simulating a net carbon sink estimated value through the ecosystem model of the process to obtain a net carbon reserve variation, and correcting an estimated value of the productivity of the net ecosystem according to a comparison result of the net carbon sink estimated value and the net carbon reserve variation to obtain a corrected watershed carbon sink potential; dividing the drainage basin into a plurality of green carbon reservoir functional areas based on the division standards of carbon reserves, carbon sink potential and carbon emission, and obtaining green carbon reservoir construction measures for different functional areas; and after the measures are implemented, obtaining drainage basin net ecosystem carbon balance trend evaluation data of each functional area, obtaining regulation and control feedback of each carbon library construction measure based on the change trend of the data, and further adjusting the carbon library construction measures. By adopting the green carbon library construction method provided by the invention, a feasible method can be provided for systematic construction of the green carbon library.

The present invention relates to the technical field of mine ecological restoration and carbon reserve estimation, and in particular to a method and system for estimating carbon reserves in ecosystems in coal mining subsidence areas. The method comprises the following steps: S1, dividing the coal mining subsidence area according to land use type, and determining the scope and area of ​​each land use type; S2, dividing the coal mining subsidence area according to spatial state, and forming a land use grid table with a unique code for each land use type; S3, obtaining initial carbon density parameters corresponding to the land use type, calculating the effect of surface subsidence on the carbon density parameters of each sub-area of ​​the coal mining subsidence area, and performing differentiated corrections; S4, calculating the total carbon reserve at different subsidence stages, analyzing the carbon reserve, carbon sequestration, and spatial distribution of each land use type, and comprehensively analyzing the temporal variation characteristics of carbon reserves. The present invention combines land use and subsidence state to analyze carbon density changes, thereby achieving an assessment of the spatiotemporal evolution characteristics of carbon reserves in coal mining subsidence areas.