67 results about "Soil respiration" patented technology

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 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 invention discloses a dynamic monitoring method, system and device for soil carbon loss and a storage medium, and relates to the technical field of environment monitoring, and the method comprises the steps: obtaining soil parameters through a multi-mode sensing array and a runoff monitoring device which are arranged in a target soil area, the soil parameters comprise a soil gaseous parameter, conductivity, a soil solid parameter and a liquid carbon parameter; calculating a carbon loss amount generated by soil respiration according to the soil gas state parameter, and taking the carbon loss amount as a respiration carbon flux; according to the conductivity, the soil solid parameters and a preset soil organic carbon content relation model, calculating the carbon loss amount of soil erosion migration as erosion carbon flux; calculating the carbon loss amount of soil leaching loss according to the liquid carbon parameters, and taking the carbon loss amount as leaching carbon flux; and performing weighted summation on the respiration carbon flux, the erosion carbon flux and the leaching carbon flux to obtain the total carbon loss of the soil in the target area. A more comprehensive carbon income and expenditure evaluation method is provided by establishing a soil total carbon loss calculation framework covering'gas-solid-liquid 'three phases.

The invention provides an evaluation method and system based on soil buffer capacity, and relates to the technical field of soil evaluation.The method comprises the steps that a microbial community diversity index is coded to serve as a genotype of a genetic algorithm; randomly generating an initial population, wherein each individual represents one environment factor combination; calculating the fitness value of each individual, carrying out selection, crossover and mutation operations, and repeating genetic operations until a termination condition is met so as to obtain a final key environment factor combination; obtaining microorganism activity data according to the soil respiration rate in the microorganism sample; and according to the final key environment factor combination, the microbial activity data and the trained neural network model, predicting a soil buffer capability value. According to the method, the buffer capacity of the soil can be evaluated more accurately.

The invention provides a carbon reduction effect evaluation method and system for a healthy agricultural product production process. According to the method, by tracking carbon migration paths of chemical fertilizer application, organic fertilizer degradation and soil respiration and combining matching analysis of chemical reaction chain data and an agricultural carbon emission database, a carbon retention area and methane generation and distribution characteristics in the production process are accurately identified. Modeling is carried out on the concentration of an intermediate product by applying a dynamic compensation engine, a soil pore optimization scheme and an organic fertilizer gradient feeding strategy are generated, and conversion of degradation residues to a stable carbon form is accelerated by regulating and controlling a micro-aerobic environment. Finally, a carbon cycle equilibrium map is constructed, greenhouse gas emission reduction monitoring and effect quantitative evaluation in the whole production period are achieved, and the soil carbon sequestration capacity is synchronously improved. According to the technical scheme provided by the invention, the agricultural production carbon cycle efficiency can be optimized.

The invention discloses a soil carbon sequestration and emission reduction detection method based on soil respiration monitoring, and relates to the technical field of environment monitoring of soil carbon sequestration and emission reduction, and the method comprises the following steps: S1) arranging a limited number of soil respiration sensors in a target area; and S2) constructing a dynamic weight space mapping system: fusing a soil attribute map, a vegetation index sequence and a micro-topography elevation model obtained by remote sensing to generate a spatial heterogeneity weight base map. According to the soil carbon sequestration and emission reduction detection method based on soil respiration monitoring, through a dynamic weight space mapping system, the soil respiration space heterogeneity characterization problem is solved, and a space rule scale is provided for sparse sensor data; and the distortion risk of traditional uniform distribution and mechanical interpolation in a gradient sudden change area is eliminated. And a two-stage cooperative verification mechanism guarantees the evaluation reliability from two dimensions of a spatial mode and physical measurement.

The invention provides a soil health evaluation method. The method comprises the following steps: acquiring community characteristics of soil arthropods of to-be-evaluated soil; the soil arthropods are selected from at least one of diptera arthropods, arthropods of arachnids, coleoptera arthropods, hymenoptera arthropods and lepidoptera arthropods; the community characteristics comprise species composition and relative abundance of species; predicting soil indexes according to the community characteristics; the soil index is selected from at least one of a soil physicochemical index, a soil degradation index and a soil health index; the soil physical and chemical indexes are soil pH, soil total carbon, soil organic carbon and soil total nitrogen; the soil degradation indexes comprise a soil pH degradation index, a soil total carbon degradation index, a soil organic carbon degradation index and a soil total nitrogen degradation index; the soil health index is determined based on soil pH, soil microbial biomass nitrogen, soil respiration rate, soil total carbon, soil organic carbon, soil total nitrogen and soil bulk density; and performing soil health evaluation based on the soil indexes.

The invention relates to the technical field of ecological system monitoring, in particular to a vortex motion covariance and soil respiration synchronous collection device based on the Internet of Things. Comprising a central synchronous controller, a vortex motion covariance master collector in communication connection with the central synchronous controller, and at least one soil respiration slave collector in communication connection with the central synchronous controller. By implementing the unified clock source, the dynamic scheduling with the absolute timestamp and the real-time data correction, the problem of time alignment between heterogeneous data streams is fundamentally solved, real synchronous acquisition is realized, and inherent systematic time reference errors in a system in the prior art are eliminated.

The invention provides a soil resource sustainable utilization evaluation and prediction system, relates to the technical field of sustainable utilization evaluation and prediction of soil resources, and aims to accurately capture dynamic characteristics of soil carbon circulation by monitoring soil respiration rate, carbon content and other environmental data in real time and combining a multilevel carbon distribution-respiration rate mapping model. The system integrates MLP and LSTM technologies, and dynamically updates a multilevel carbon distribution-respiration rate mapping weight to reflect a nonlinear mapping relationship between soil carbon storage and respiration rate. By constructing a soil resource optimization map and a multi-factor comprehensive evaluation index, the system can visually display potential influences of different soil management measures, and provides scientific decision support for soil resource management.

The invention discloses application of a'microorganism-crop 'interaction signal substance in preparation of a product, the'microorganism-crop' interaction signal substance is acetoin and 2, 3-butanediol, and the product is used for regulating and controlling a soil microbial community, improving abundance of soil phosphate solubilizing bacteria, improving activity of soil alkaline phosphatase and soil respiration intensity, and improving soil quality. The fertilizer can regulate and control metabolic pathways in crops, increase the contents of cane sugar, galactose, melibiose, dehydroascorbic acid, tryptophan, gibberellin, jasmonic acid, methyl jasmonate and ferulic acid in the crops, improve the growth and stress resistance of the crops, promote the growth of the crops, increase the yield of the crops, prevent and control crop diseases and improve the yield of the crops. The soil alkaline phosphatase activity and the microbial respiration intensity are improved. The product is a liquid fungicide, and comprises a bacterial liquid, a microorganism-crop interaction signal substance, and at least one of amino acid, seaweed essence and humic acid. The liquid fungicide can promote crop growth, improve crop stress resistance and effectively inhibit pathogenic bacteria.

The invention provides a method for establishing a soil organic carbon decomposition model based on a microbial process, which comprises the following steps: collecting soil and model parameters, and defining a model dry and wet region carbon library and microbial physiological state activity conditions; calculating the conversion speed of the carbon library between the dry and wet areas caused by the change of the water content in the soil; calculating the speed of forming DOC by enzyme catalytic decomposition of POC in the dry and wet regions and the speed of absorbing DOC by active microorganisms in the wet regions; calculating the speed of extracellular enzyme production, growth, respiration and death of the microorganisms and the MAOC density of the wet region during balance; establishing a mass balance equation of an enzyme carbon library ENZ and soil particle organic carbon POC; establishing a mass balance equation of dissolved organic carbon (DOC) and mineral bound organic carbon (MAOC); and establishing a dry and wet region microbial biomass MBC carbon library mass balance equation. According to the invention, the simulation capability of the model on organic carbon decomposed by soil microorganisms, especially pulse type soil respiration change caused by dry-wet change, is improved.

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 present invention discloses a method and device for studying grassland soil respiration based on precipitation, including a bottom plate, a measuring cylinder is provided on the bottom plate, the measuring cylinder is connected to a rain collecting bucket through a water inlet pipe, a water level detection device for detecting the water level of precipitation in the measuring cylinder is provided in the measuring cylinder, a bracket is provided on the side of the bottom plate adjacent to the measuring cylinder, a carbon respiration monitor body is provided on the bracket, a movable rod is movably inserted on the bracket, a respiration chamber cover is connected to the bottom of the movable rod, the detection end of the carbon respiration monitor body extends into the respiration chamber cover, and the movable rod is connected to the bracket through a driving device. In the present invention, when the precipitation water level detected by the water level detection device reaches a threshold value, the controller drives the movable rod to drive the respiration chamber cover to be inserted downward into the soil and the carbon respiration monitor body is operated at the same time, so that personnel can understand and study soil respiration data of different precipitation amounts, thereby facilitating personnel to study and determine the precipitation required for the monitored soil area.

An apparatus (100, 200, 300, 400, 500) and system (600) for measuring a gas concentration within a soil is provided. The apparatus includes a tubular housing (101, 201, 301, 401, 501) configured to extend under soil and a gas sensor (108, 208, 308, 408, 508). The tubular housing includes an outer protective sleeve (114, 214, 314, 414, 514) having perforations (116, 216, 316, 416, 516) therein, a support structure (118, 218, 318, 518) within the outer protective sleeve defining an interior chamber, and a gas permeable membrane (102, 202, 302, 402, 502) carried by the support structure and configured to prevent soil or liquid from entering the interior chamber. A gas sensor is in communication with the interior chamber to measure a gas concentration in the interior chamber.

The invention discloses a soil respiration prediction method based on GIS spatial-temporal characteristics and deep learning, and relates to the technical field of soil respiration prediction, and the method comprises the following steps: obtaining historical land surface temperature data, historical soil moisture data, historical altitude data and historical soil respiration data of a to-be-predicted region; a multi-source fusion data set is generated through GIS geographic coordinate alignment; extracting spatial features, time features and nonlinear features, and generating a multi-source feature data set; establishing a hybrid network architecture based on deep learning; performing adaptive training to obtain a soil respiration prediction model; and performing actual soil respiration prediction by adopting the soil respiration prediction model. By combining multi-source data fusion, spatial-temporal feature enhancement, hybrid network architecture and adaptive training, multi-source data are integrated, spatial-temporal features are captured, model expression ability and interpretation are considered, and soil respiration prediction precision is improved.

The invention discloses a spatial distribution prediction method for soil respiration temperature sensitivity. The method comprises the following steps: step 1, data acquisition and processing; 2, calculating parameters of a Van't Hoff index chemical reaction-temperature equation; 3, calculating the soil respiration temperature sensitivity Q10; step 4, acquiring and processing influence factor data of the soil respiration temperature sensitivity Q10; step 5, building a deep neural network model and training the deep neural network model; and step 6, determining the spatial distribution of the soil respiration temperature sensitivity Q10 in the research area. According to the method disclosed by the invention, the availability of the existing data is greatly enriched, and the capability of extracting effective information from the soil respiration data is remarkably improved; meanwhile, on the basis of enriching data availability, a deep neural network model is adopted, a nonlinear relation between the soil respiration temperature sensitivity Q10 and influence factors of the Q10 is constructed, the Q10 of a point scale is successfully expanded to a regional scale, and spatial distribution prediction of the soil respiration temperature sensitivity is achieved.

The invention discloses a method for evaluating contribution of a timber forest to carbon dioxide reduction, and relates to the technical field of forestry carbon sink, and the method comprises the steps of normalization processing of tree species, calculation of forest and soil carbon sequestration amount, calculation of carbon footprint, soil respiration loss and net carbon contribution, and the like. By defining an ecological end (wood formation and soil carbon deposition) and a circulation end (wood use and overflow substitution) of the timber forest and providing a carbon sink increment algorithm, the contribution of the timber forest to CO2 reduction in the atmosphere can be evaluated quickly and accurately at low cost.

The utility model belongs to the field of determination of wetland soil parameters, and particularly relates to a device suitable for coastal wetland soil respiration measurement, in particular to in-situ measurement equipment, which can be used for measuring the respiration of the coastal wetland soil without hindering the release effect of tidal water fluctuation on carbon dioxide in the coastal wetland soil. The interference of accumulated water in the breathing ring on a soil breathing measurement result after ebb tide is prevented. The device comprises a sealing device, a permeable ring, an indication cover and a fixing ring, the sealing device is composed of a stainless steel ring column with a built-in thread and an external hand lifting ring, and the hand lifting ring is fixedly connected with the stainless steel ring column in a welding mode. The permeable ring is composed of an external threaded stainless steel ring column with a hole, and is screwed with the sealer through threads; the indicating cover is composed of a stainless steel disc, and the indicating cover and the water permeable ring are fixedly connected in a welding mode. The fixing ring is composed of a stainless steel ring, and the fixing ring can be directly and completely inserted into soil to be detected.

The invention relates to the technical field of soil respiration monitoring, and discloses a soil respiration monitoring device and method based on tunable semiconductor laser absorption.The device comprises a movable base which is hollow, the top of the base is fixedly connected with a top plate through a support, and a data controller is installed at the top of the base; and a plurality of breathing chambers are arranged between the base and the top plate. According to the soil respiration monitoring device and method based on tunable semiconductor laser absorption, the communication unit is arranged and used for controlling the detection end of the spectrum detection unit, so that the detection end of the spectrum detection unit is selectively connected with one respiration chamber or is sequentially connected with other respiration chambers; according to the soil respiration monitoring system, internal detection work of a single respiration chamber or internal detection work of multiple respiration chambers is formed, and the soil respiration monitoring accuracy can be further improved by calculating the average value of the internal detection data of the multiple respiration chambers.

The invention discloses a desert reclamation area soil respiration rate inversion method based on a random forest algorithm, and the method comprises the steps: measuring the soil of a desert reclamation area, and obtaining actually-measured soil respiration data, UAV hyperspectrum, thermal infrared data and ASD ground canopy hyperspectral radiance data; a characteristic wave band is screened out through the UAV hyperspectrum and actually measured soil respiration data, and TVDI is calculated through the UAV hyperspectrum and used for representing environment factors; three methods of FLD, 3FLD and SFM are used, and three unmanned aerial vehicle SIF values are calculated by using UAV hyperspectral data; using ASD ground canopy hyperspectral radiance data to verify the unmanned aerial vehicle SIF values obtained by the three methods, and selecting unmanned aerial vehicle SIF data with the highest precision as input data of soil respiration inversion; and inverting the soil respiration rate of the desert reclamation area based on a random forest algorithm. According to the method, the soil respiration rate can be rapidly and quantitatively monitored in a large-area and real-time manner.

A device for monitoring soil health conditions includes (i) a gas intake tube and (ii) a detachable cap. The gas intake tube includes: a first closed end; a second open end opposite the first end; and a body portion extending between the first closed end and the second open end, where the body portion includes a housing and a plurality of holes that extend around the body portion in which the plurality of holes allow gases to enter the housing. The gas intake tube has a length extending from the first closed end to the second open end of greater than 5 inches, and the plurality of holes are within at least 1.5 inches of the first closed end. Further, the detachable cap is connected to the second open end of the gas intake tube and has a gas dispersing slot. A system and method are also included.

The invention provides a biological stimulant for regulating and controlling micro-ecological activity of acid soil rhizosphere as well as a preparation method and application of the biological stimulant, and particularly provides the biological stimulant which comprises high fructose corn syrup, tea polyphenol and 5-aminolevulinic acid. The biostimulant further comprises an amino acid and an oligosaccharide. The biological stimulant provided by the invention can improve the pH of rhizosphere soil, reduce exchangeable aluminum ions, improve soil respiration and mycorrhizal spore density, and realize yield increase and efficiency increase.

A device for monitoring soil health conditions includes (i) a gas intake tube and (ii) a detachable cap. The gas intake tube includes: a first closed end; a second open end opposite the first end; and a body portion extending between the first closed end and the second open end, where the body portion includes a housing and a plurality of holes that extend around the body portion in which the plurality of holes allow gases to enter the housing. The gas intake tube has a length extending from the first closed end to the second open end of greater than 5 inches, and the plurality of holes are within at least 1.5 inches of the first closed end. Further, the detachable cap is connected to the second open end of the gas intake tube and has a gas dispersing slot. A system and method are also included.

The invention discloses a soil respiration monitoring method based on field gradient warming, which belongs to the technical field of soil respiration monitoring, and comprises the following steps: (1) selecting an old forest in a subtropical evergreen broad-leaved forest to construct an experimental sample plot, and setting 20 triangular quadrat in total; (2) carrying out gradient temperature increasing on the quadrats by adopting a triangular frame heating method, setting five gradient temperature increasing treatments, setting four quadrats for each treatment, and collecting the soil temperature and volumetric water content of the experimental sample plot; and (3) arranging a breathing ring seat which is not embedded into the soil and a breathing ring seat which is embedded into the soil by 50 cm in each quadrat, placing the static box on the breathing ring seats, extracting and storing gas in the static box, detecting the collected gas by using an FID (Flame Ionization Detector) of a gas chromatograph, obtaining the CO2 concentration, and then calculating soil respiration and component data thereof. According to the method, the soil respiration and the component data thereof under gradient temperature increase can be obtained, and technical support is provided for revealing the response rule and mechanism of the soil respiration to the gradient temperature increase in the subtropical forest.

The utility model belongs to the technical field of soil carbon and nitrogen emission detection, and relates to a simple manual installation device for a soil breathing ring. The device comprises a fixed seat and a manual hammer, the fixing seat comprises an embedded cylinder and a placing cylinder which are integrally formed from top to bottom and are coaxial, the outer diameter of the cylinder wall of the embedded cylinder is smaller than that of the cylinder wall of the placing cylinder, and the interior of the placing cylinder is used for placing a soil breathing ring; the manual hammer comprises a hammer cylinder and a handle arranged on the hammer cylinder; the hammer barrel of the manual hammer is movably sleeved outside the embedded barrel of the fixed seat; and the fixed seat and the manual hammer are both formed by processing solid iron plates. According to the device, in the process that the breathing ring is smashed into soil, the breathing ring can be effectively protected and prevented from being damaged, meanwhile, stress on the breathing ring is more uniform, inclination is avoided, the placing effect of the breathing ring is better, and then the accuracy of carbon and nitrogen emission monitoring is guaranteed.

This invention discloses a cooling device and method for collecting soil respiration gases. The device includes a motor, a water pump, a breathing ring, a water pipe, a water bucket, a switch, an external power cord, a water inlet, and a water outlet. The motor and water pump are assembled together in a sheet metal assembly box. The motor is fixed to the cover on the top surface of the sheet metal assembly box, and the water pump is fixed to the base of the sheet metal assembly box. The motor and water pump are connected by an electric wire. The switch and external power cord are installed at the rear of the sheet metal assembly box. A water inlet is set on the side of the sheet metal assembly box near the water pump, and a water outlet is set at the front of the sheet metal assembly box. The water outlet is connected to the breathing ring through a water pipe, and the breathing ring is connected to the water bucket through a water pipe. Water in the water bucket is connected to the water inlet of the sheet metal assembly box through a water pipe. Ice blocks are placed in the water bucket. This invention solves the problem that the temperature in the breathing chamber gradually increases with the increase of the sealing time, thereby affecting the rate of soil respiration and carbon emissions.

The present invention discloses a method and device for calculating the reference value of soil carbon flux in a wind-turbulence environment, relating to the field of measurement technology. Compared with the previous method of measuring soil respiration value, i.e., the chamber method, the present invention solves the problem of how to avoid the influence of wind turbulence on the reliability of measurement values. In terms of the calculation principle, the principle of mass conservation is used, and on the basis of the previous generation, the influence of wind turbulence on chamber measurement is considered, so that the device can also be used normally in the field environment and can provide more accurate values in terms of measurement results. In terms of structural design, the device is light-weighted, and the analysis device and the diffusion chamber are separated, making the device convenient to operate during the processes of carrying, using and later maintenance. And all function keys of the device are integrated on the control main board, various functions are visualized, and the operation is simple and easy to master, having certain commercial promotion value.

The present invention discloses a regional soil respiration monitoring method and system based on GIS technology, which performs grid division on the monitoring area, obtains the spatial data set of the monitoring area, performs spatial autocorrelation analysis, calculates the global Moran index I value, Z score, p value, identifies the spatial clustering of elements with high or low values, and the spatial mutation value; determines the point set that meets the actual measurement requirements, and measures the soil respiration data of these monitoring points in the field, performs spatial interpolation according to the measured soil respiration data, until the soil respiration of the entire monitoring area is obtained; the system uses a computer to execute the above steps. The present invention not only effectively optimizes and reduces the number of monitoring points, realizes the monitoring and estimation of soil respiration in large-scale and large-range areas, but also can significantly improve the work efficiency of ecological environment monitoring. Compared with the existing mathematical model method, the monitoring results of the present invention are more real and accurate, the regional applicability is also higher, and the versatility is better.

The invention relates to the technical field of soil environment monitoring, and discloses a drilling type deep soil respiration measuring device which comprises a main body bracket, the limiting assembly comprises two supporting plates and two limiting pieces, the two supporting plates are fixedly connected to the two sides of the bottom of the main body support respectively, the two limiting pieces are arranged on the two supporting plates respectively, and the main body support is in limiting connection with the ground through the limiting pieces; the drilling assembly comprises a drilling part and a sealing part, the drilling part is arranged on the main body support and used for stretching into the ground for drilling, and the sealing part is arranged on the drilling part and used for sealing a drilled hole; the measuring assembly comprises a measuring piece and a cleaning piece, the measuring piece is arranged in the drilling piece, after the drilling piece conducts drilling, the measuring piece is used for conducting respiration measurement on soil in the drilling piece, and the cleaning piece is arranged in the measuring piece and used for cleaning the measuring piece. The device is compact in structure, convenient to move, relatively simple and convenient to operate, and beneficial to development of field multi-point and multi-depth soil respiration measurement work.

The embodiment of the invention provides a two-library soil carbon cycle simulation method under an erosion condition and related equipment, and belongs to the technical field of data processing, and the method comprises the following steps: obtaining soil data of a target area; dividing the target area into a plurality of sub-areas; calculating a carbon library component of each sub-region according to the soil data; updating the carbon library components according to an erosion-deposition rule, wherein the erosion-deposition rule comprises soil layer number transfer rates of an erosion area and a deposition area; and simulating the carbon circulation amount of the soil according to the updated carbon library components. Soil carbon circulation under the erosion condition within the global range is simulated according to soil data of a target area through a two-library soil model, carbon library components are updated according to an erosion-deposition rule, the erosion-driven carbon circulation process is simulated, and soil organic carbon component properties and soil respiratory capacity changes are studied.