118 results about "Carbon cycle" patented technology

The invention relates to the technical field of forest wetland carbon sink monitoring and evaluation, and particularly discloses a forest wetland carbon sink intelligent monitoring and evaluation system and method. According to the method, a vegetation carbon sequestration potential evaluation result is obtained by analyzing vegetation structure feature data of forest, water and soil composite ecology of the forest wetland, a water-soil-carbon cooperative evaluation result is obtained by analyzing specific hydrological-soil carbon cycle key elements of the forest wetland, and environmental disturbance response factors are obtained by combining various environmental disturbance factors. Through multi-source data fusion and intelligent modeling, a carbon sink quantitative evaluation value is output, and abnormal feedback is triggered; the problems that in the prior art, adaptability to a forest wetland compound ecological system is insufficient, evaluation refinement is insufficient, and dynamic response is lacked are solved. According to the method, accurate and dynamic monitoring and evaluation of forest wetland carbon sink are realized, carbon sink short plates can be accurately positioned, optimization support is provided, and technical support is provided for protection, restoration and optimization management of forest wetland carbon sink resources.

The invention discloses a lake and reservoir future carbon income and expenditure scenario prediction accounting method based on climate change influence, and relates to the technical field of ecological environment monitoring and carbon cycle research, and the method comprises the steps: S1, collecting climate data, social economic data and lake and reservoir ecological data of a target lake and reservoir and a surrounding region, and carrying out the cleaning and missing value supplementation of the data; according to the method, the social economy-climate coupling model is constructed, social economy factors such as population growth and economic development and climate change factors are cooperatively incorporated into lake and reservoir carbon income and expenditure prediction, comprehensive simulation of lake and reservoir carbon income and expenditure multi-driving factors is realized, the fitting degree of a prediction result and an actual situation is improved, and the prediction efficiency is improved. By setting multiple groups of social economy-climate scene combinations, lake and reservoir carbon income and expenditure prediction results under different development paths are output, a carbon income and expenditure accounting sub-model based on a process mechanism is embedded, and model parameters are verified and optimized in combination with historical data, so that the accuracy and reliability of lake and reservoir carbon income and expenditure prediction accounting are further improved.

The invention discloses a soil organic carbon dynamic monitoring system based on model fusion, which belongs to the technical field of soil monitoring and ecological environment information, and comprises the following steps: S1, obtaining multi-source data related to soil organic carbon monitoring, and preprocessing to obtain a standardized data set; s2, generating mechanism characteristics with mechanism property and space-time relevance through the carbon cycle process model; s3, constructing an artificial intelligence prediction model, and enabling the artificial intelligence prediction model to learn a mapping relation between the soil organic carbon and multi-source input so as to realize rapid inversion of the soil organic carbon; s4, fusing the carbon cycle process model and the artificial intelligence prediction model to obtain a fusion model; s5, realizing long-term continuous monitoring through dynamic inversion, operation state monitoring and abnormity self-repairing, and sliding window increment updating; and S6, generating a standardized result for supporting multi-field long-term application and system continuous optimization. By adopting the system, high-precision and high-efficiency multi-scale dynamic monitoring of soil organic carbon is realized.

The invention discloses a multi-source remote sensing reflectivity fusion method based on orthogonal matching pursuit and physical constraint, and the method comprises the steps: taking a multi-source remote sensing image as a data basis, and constructing a multiband sparse dictionary through time sequence alignment and overlapping sampling; then, an orthogonal matching pursuit algorithm introducing physical constraints is utilized to gradually select an image atom which is most matched with a target date in a sparse reconstruction process, and physical consistency of a reconstruction result in the aspects of hydrological conditions, phenological characteristics, spectral reflectivity and the like is ensured; and finally, through residual error return correction, day-by-day seamless 30-meter six-waveband reflectivity reconstruction is realized. According to the method, the stability and the physical interpretability of a reconstruction result are remarkably improved while efficient calculation is kept, continuous, multi-band and high-resolution time sequence data generation can be achieved in complex ecological environments such as lake wetlands, and high-precision remote sensing data support is provided for hydrological process simulation, ecological environment evaluation and carbon cycle research.

The invention relates to the technical field of environmental science, discloses a wetland carbon cycle model construction and optimization method and system, and aims to solve the problems of complex wetland carbon cycle process, insufficient model precision generalization, difficulty in coordination of multi-carbon component management decisions and the like. The method comprises the following steps: acquiring preprocessed multi-source wetland data, and constructing multi-scale spatial-temporal characteristic representation; synergistically simulating the dynamic state of the carbon components of the wetland through a mechanism fusion network; and based on a simulation result, a management strategy is generated through multi-objective optimization, scene prediction is performed, and a response is evaluated. The system comprises a data acquisition and preprocessing module, a multi-scale spatial-temporal feature coding module, a mechanism fusion network module, a multi-target optimization decision module and a scene prediction visualization module. According to the technical scheme, a high-precision and high-generalization model can be constructed, deep learning and a physical mechanism are fused, multi-target optimization decision and scene prediction capabilities are provided, multi-carbon components are effectively simulated and optimized, and the wetland carbon management precision and efficiency are improved.

The invention relates to the technical field of grassland ecological monitoring, and discloses a grassland biomass estimation method based on multi-modal phenotype fusion and moisture content correction. The method comprises the following steps: setting a 0.5 m * 0.5 m quadrat in a grassland research area, synchronously acquiring a multi-spectral image of an unmanned aerial vehicle, multi-view structural data of a ZED 2i depth camera and ground actual measurement data, extracting structural features such as a multi-view vegetation projection volume index and 10 vegetation indexes after preprocessing, and constructing an XGBoost moisture content inversion model; and constructing a biomass initial model by using a pure structure, a pure spectrum and fusion characteristics, introducing a moisture content correction formula to correct deviation, and screening an optimal model through Monte Carlo cross validation. According to the method, multi-source data are effectively fused, moisture interference is stripped, the grassland biomass estimation precision is improved, and reliable technical support is provided for grassland ecological monitoring, carbon cycle evaluation and resource management.

The invention discloses a land type adjustment and simulation method based on carbon neutralization constraint, and the method comprises the following steps: obtaining land data of a target region, and calculating the carbon flux of each classification space; constructing a carbon profit and loss weight function based on the carbon flux, the ecological benefit and the economic benefit as an overall constraint condition; reversely deducing each land space area corresponding to a preset time node on the basis of a Markov chain model, and taking the land space areas as stage constraint conditions; performing NSGA-III optimization solution based on the constraint condition to obtain a corresponding land use adjustment scheme; an improved PLUS model is adopted to simulate a land use adjustment scheme, the carbon cost of land conversion is incorporated into a land utilization simulation process, and a genetic algorithm is utilized to optimize model parameters to obtain a land space simulation result of a target year. According to the method, a carbon cycle mechanism, a carbon sink optimization target and a land utilization decision full process are coupled, a closed loop of carbon constraint-land simulation-policy assessment is realized, and scientific decision support is provided for regional carbon emission reduction and ecological protection.

This invention discloses a multi-scale prediction method and system for the maximum growth rate of soil microorganisms based on genomic features, involving the interdisciplinary fields of microbial ecology and genomics. The method includes: genomic data preparation, core genomic feature extraction, single-scale growth rate prediction, community-scale extrapolation, and result verification and output. The system includes a genomic data processing unit, a core feature extraction module, a growth rate prediction model, a community-scale extrapolation module, and a result visualization and verification unit. This invention overcomes the limitations of traditional culture methods and in-situ measurement methods, achieving high-throughput and accurate prediction of the growth rates of culturable and uncultured microorganisms, and solving the problems of low coverage, fragmented scales, and high costs of existing technologies. It is applicable to soil microbial function assessment, carbon cycle model parameterization, and ecosystem management.

The present application relates to the field of crop cultivation and soil improvement technology, and discloses a wheat-corn-sunflower-legume green manure crop rotation carbon fixation and water saving method suitable for arid irrigation areas, which comprises wheat planting, corn planting, sunflower planting and legume green manure planting. The present application replaces traditional flooding irrigation with high-frequency low-amount drip irrigation mode, combines with precise water supply according to the water requirement characteristics of each crop growth period, and avoids invalid irrigation. Meanwhile, through straw returning to field, soil water evaporation is reduced, and soil conservation capacity is improved. Moreover, the present application constructs a double carbon fixation path of straw returning to field and green manure turning, straw is crushed and returned to field, organic carbon is input into soil every year, legume green manure is turned and decomposed, and soil organic matter content is improved. The present application also reduces nitrogen fertilizer application through symbiotic nitrogen fixation of legume green manure and rhizobium, protects soil microbial activity, optimizes soil carbon cycle, relieves soil degradation, and improves long-term carbon fixation potential of soil.

The utility model discloses a kind of for simulating root litter in situ sustained input device and its application, through the design of the soil column with stainless steel handle, 1 μm aperture nylon net, the PVC pipe with hole in bottom and multi-generation root litter in situ sustained input simulation system, the dynamic simulation of root litter sustained input process under soil profile scale is realized.The device solves the limitation of traditional decomposition experiment, can dynamically add root litter without destroying soil structure, while effectively blocking exogenous interference, ensuring the accuracy and consistency of experiment.The utility model provides key technical platform for studying the influence of root litter in situ sustained input on soil carbon stability, and is suitable for ecology, carbon cycle research and ecological system management and other fields.

The invention discloses a power grid renewable resource cyclic utilization low-carbon evaluation method and system based on deep learning, and relates to the technical field of low-carbon circulation of deep learning, and the method comprises the steps: firstly obtaining recycled resource record data, and building a first mapping relation and a second mapping relation according to the recycled resource record data; based on the first mapping relation and the second mapping relation, calculating a first benefit result and a second benefit result through a multi-task system optimization path method; obtaining a carbon emission reduction predicted value and an economic benefit predicted value for the first benefit result and the second benefit result by using a variational mode decomposition and multi-source feature fusion mechanism; a game equilibrium weight vector is solved through an iterative optimization algorithm of a negotiation game model, and a continuous and stable low-carbon evaluation index is calculated according to a carbon emission reduction predicted value and an economic benefit predicted value, so that a fine management strategy and green low-carbon transformation of a power grid enterprise under a low-carbon energy-saving target are effectively solved.

The invention discloses a dynamic monitoring and accounting system for organic carbon reserves of lake and reservoir sediments, belongs to the technical field of carbon cycle monitoring, and aims to solve the problems of spatial-temporal resolution contradiction and insufficient multi-source data fusion caused by a single data source in a traditional method. A space-time continuous fusion data product is generated in combination with an adaptive fusion algorithm, the system comprises a multi-source data acquisition module, a preprocessing module, an uncertainty quantification module, a fusion processing module and a verification feedback module, deep fusion of space-based remote sensing, foundation in-situ and experimental analysis data is achieved, and through independent actual measurement data verification and parameter feedback optimization, the space-time continuous fusion data product is obtained. And the system forms a precision improvement closed loop, so that the stability and accuracy of long-term operation are ensured.

The invention discloses a soil organic carbon mineralization rate determination method, and relates to the technical field of soil carbon circulation and greenhouse gas monitoring. The method comprises the following steps: carrying out hydrochloric acid back titration on an absorption liquid by adopting an automatic potentiometric titration method, converting to obtain the mass of a carbon element contained in carbon dioxide, calculating the mineralization rate by combining the dry soil weight and the culture interval, and finally subtracting an inactivation control value to obtain the organic carbon mineralization rate driven by pure microorganisms. A thin-wall stainless steel undisturbed soil drill matched with the inner diameter of a culture bottle is used for collecting soil columns in a layered manner, PVC liner tube sealing and constant-temperature transportation are matched, and a cold chamber for simulating the in-situ temperature is combined, so that the in-situ structure and the microbial habitat of the loose high-water-content peat soil are reserved to the maximum extent, and damage of traditional pretreatment to soil pores and microbial communities is avoided.

This invention relates to a method, system, and equipment for evaluating the quality of carbon cycle data, specifically in the field of carbon cycle quality assessment. The method includes: predicting carbon emissions from coal mining subsidence areas to obtain predicted carbon emissions; predicting the scale changes in soil, vegetation, and water bodies based on subsidence characteristic information; collecting soil physicochemical property parameters, vegetation type parameters, and water composition parameters, and calculating the predicted carbon sequestration amount by combining these parameters with the scale changes in soil, vegetation, and water bodies; and calculating the carbon cycle quality assessment result based on the predicted carbon sequestration amount and predicted carbon emissions. This invention addresses the technical problem that traditional assessment methods fail to fully consider the unique geographical characteristics and changing patterns of coal mining subsidence areas, resulting in inaccurate predictions of carbon emissions and carbon sequestration capacity, and consequently, an inability to effectively quantify and assess carbon cycle quality. It significantly improves the scientific rigor, accuracy, and reliability of carbon emission and carbon sequestration capacity predictions, achieving precise quantitative assessment of carbon cycle quality.

The invention relates to a carbon dioxide utilization and sequestration technology, and provides a method and a system for separating and extracting water mineral substances by using carbon dioxide and synchronously sequestering carbon. The method comprises the following steps: adsorbing and separating mineral ions such as calcium and magnesium in a water body through a resin bed; dissolving carbon dioxide in water under controlled partial pressure to prepare a carbonic acid solution, and introducing the carbonic acid solution into the resin bed under a pressure-resistant condition, so that hydrogen ions released by carbonic acid replace mineral ions on the resin, resin regeneration is completed, and a regenerated solution containing the mineral ions is obtained; and performing decompression and / or heating operation on the regenerated liquid to promote the combination of mineral ions and carbonate to generate carbonate precipitate, thereby realizing synchronous utilization and stable storage of carbon dioxide. According to the method, a carbon circulation path of water mineral separation and extraction, carbon dioxide regeneration, carbonate precipitation and recycling is constructed, resource utilization and stable storage of carbon dioxide are achieved, and the method has the advantages of being environmentally friendly, low in carbon and capable of being modularly popularized.

The invention belongs to the technical field of environmental hydraulics, and relates to a carbon transportation characteristic research method and device under reservoir dispatching operation and computer equipment, and the method comprises the steps: constructing a reservoir three-dimensional carbon transportation monitoring network, and obtaining the basic data of a carbon transportation process; based on the basic data, constructing a hydrodynamic force-water quality coupling model for simulating the carbon transportation process, and verifying the hydrodynamic force-water quality coupling model by using monitoring data; quantifying scheduling operation characteristics, and extracting scheduling characteristic parameters influencing carbon transportation; establishing a carbon flux accounting model considering the scheduling influence, and quantifying the influence of scheduling on carbon income and expenditure; establishing a quantitative relationship between the carbon transport characteristic parameters and the scheduling characteristic parameters; and scheduling optimization evaluation is carried out based on carbon environment constraints, a carbon target is incorporated into a scheduling optimization system, and a low-carbon scheduling scheme is proposed. The method has systematicness and dynamics, realizes quantitative evaluation of carbon transportation, and has practicability; the method can be popularized to other types of water body carbon cycle research, and has expansibility.

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 discloses a coral reef ecosystem community carbon sequestration evaluation method based on a Lagrange drift trajectory, and belongs to the field of marine ecological environment monitoring and carbon cycle research. The device comprises a drift tracking module, a CTD module, a hydrochemical parameter acquisition module, a depth instrument, a waterproof system and a buoyancy system, all the modules are integrated in the waterproof system, the buoyancy system is connected with the exterior of the waterproof system, and the modules are in signal connection to realize data transmission; according to the method, a Lagrange drift path and a time interval are recorded through the drift tracking module, the CTD module collects the temperature and salinity of a water body, the hydrochemical parameter collection module obtains total alkalinity and dissolved inorganic carbon and calculates the variable quantity of the total alkalinity and the dissolved inorganic carbon, and the depth instrument monitors the average water depth; the COexchange flux is calculated in combination with meteorological data, and then the net calcification rate and the net photosynthesis rate are obtained through a preset formula.

The invention discloses a method for reducing an oxygen-enriched side-blown iron-containing material by using a biomass carbon source, and particularly relates to the technical field of metallurgical process optimization and efficient utilization of carbon resources. By constructing a multi-point temperature monitoring system and combining carbon source pretreatment, oxygen enrichment disturbance control and rhythm function driving, dynamic matching of carbon source release and an oxygen channel is achieved, an alternate local reduction window is formed, and the reduction efficiency and the carbon utilization rate are effectively improved; meanwhile, by recognizing a high-residual reducing gas area, adjusting a tail gas extraction path and guiding the tail gas into a preheating area, tail gas heat value recovery and carbon recycling are achieved; the method has the advantages of high reaction efficiency, low carbon emission, low energy consumption and high system controllability, and is suitable for low-carbon metallurgy and resource recycling scenes.

The present disclosure discloses a method for preparing rare earth oxide by recycling ammonia and carbon, comprising the steps of: (1) heating raw materials containing a first rare earth carbonate and a first rare earth oxide with microwave and calcining at 500-1000° C. for 20-120 min to obtain a second rare earth oxide and carbon dioxide; (2) reacting carbon dioxide with a first ammonia water to obtain a precipitant; (3) reacting the precipitant with rare earth chloride to obtain a second rare earth carbonate and ammonium chloride wastewater. In the method, calcination time is short, rare earth recovery rate, utilization rate of ammonia and carbon resources are high. The present disclosure also provides a use of a rare earth oxide in shortening calcination time and / or increasing rare earth yield.

The invention relates to the technical field of intelligent agricultural machinery, and discloses an intelligent crop recovery system based on carbon circulation, which comprises an impurity removal device, a sorting device, a drying device, a transmission device, a storage device, a carbon dioxide supply device and a plant greenhouse, the feeding end of the sorting device is arranged at a discharging port of the impurity removal device, the discharging end of the sorting device communicates with a feeding port of the drying device through a pipeline, and the conveying device is arranged between the drying device and the storage device; the top of the storage device is communicated with the carbon dioxide supply device, and the bottom of the storage device is communicated with the plant greenhouse, so that the crop storage efficiency is improved, chemical residues are reduced, environmental pollution is reduced, and efficient cleaning, drying, storage and waste gas recycling of crops are achieved; the mechanization degree in the crop recycling process is higher, the operation difficulty of farmers is reduced, and the development of intelligent agricultural mechanization is promoted.

The application discloses a tuyere theoretical combustion temperature calculation method of a hydrogen-rich carbon-circulation oxygen blast furnace, establishes a tuyere theoretical combustion temperature calculation model of the hydrogen-rich carbon-circulation oxygen blast furnace, and calculates the tuyere theoretical combustion temperature according to actual production parameters of the hydrogen-rich carbon-circulation oxygen blast furnace in production, so as to provide a reference basis for production operation of the hydrogen-rich carbon-circulation oxygen blast furnace. The application solves the problem of the influence of the heat brought by the tuyere injection of circulating gas, CO2 reaction endothermic and unburned coal powder on the theoretical combustion temperature under the working condition of the tuyere area of the hydrogen-rich carbon-circulation oxygen blast furnace.

The invention belongs to the technical field of blast furnace smelting, and particularly discloses a reblowing operation method of a hydrogen-rich carbon circulating oxygen blast furnace. The method is executed based on a reblowing program confirmation table and sequentially comprises three stages of connection and confirmation before air supply, air supply, coal gas grid connection and coal gas injection. The operation sequence, responsible persons and key parameters of all stages are defined through a systematic operation process, orderly use and cooperative control of nitrogen, oxygen and decarburized coal gas are achieved, out-of-control of the oxygen concentration and abnormal theoretical combustion temperature are effectively avoided, and therefore safe and controllable and stable transition of the whole reblowing process is achieved.

This invention discloses a coupled simulation and prediction system for regional water and carbon cycle processes, relating to the field of watershed carbon cycle simulation. The system includes a data acquisition module that determines the watershed extent and identifies riverbank areas within a unified grid system. Simultaneously, vegetation type and soil organic carbon are mapped to riverbank grid cells, consistently expressing the spatial location of carbon sources in relation to hydrological watershed migration. This facilitates subsequent clarification of carbon source distribution. Based on a DEM (Digital Elevation Model), flow direction and confluence paths are constructed. Runoff in each grid is calculated under meteorological conditions and gradually converges into the river channel, establishing hydrodynamic transport paths with clear upstream and downstream relationships. This provides a physical carrier for carbon transport. Based on soil organic carbon and vegetation type in the riverbank grids, the system quantifies the differences in carbon supply capacity of different riverbank areas during regional water migration. Riverbank carbon sources are traced along the confluence paths. Spatial weights are constructed using distance attenuation and connectivity, mapping carbon sources to each grid cell. Carbon flux is then coupled with runoff to calculate and accumulate through gradual transport.

The invention provides a coupling MCCA-inVEST model-based carbon reserve prediction method, and relates to the technical field of mixed land utilization prediction and carbon cycling, the method comprises the steps of obtaining influence factor data corresponding to a to-be-evaluated mixed land, and generating MCCA training data; according to the influence factor data and the MCCA training data, constructing an MCCA model, and based on the MCCA model and a Markov chain, obtaining a land type prediction demand in a preset scene; constructing a land utilization conversion rule based on a random forest model and simulating different types of mixed land spatial distribution; taking the secondary land utilization classification system as a target classification, and performing spatial superposition on the Chinese carbon density data set and the vegetation type distribution data to obtain secondary land utilization carbon density parameters; and inputting mixed land spatial distribution and secondary land utilization carbon density parameters into an inVEST model to obtain a regional carbon reserve prediction result and a carbon sink capacity distribution result. According to the invention, the regional applicability and precision of carbon reserve prediction can be improved.

The invention relates to the technical field of slow release fertilizers, and particularly discloses a biochar-based slow release fertilizer and a preparation method thereof.The biochar-based slow release fertilizer is prepared from, by mass, 7-9 parts of granular urea, 23-29 parts of compound fertilizer, 6-10 parts of organic fertilizer, 24-35 parts of modified biochar and 20-30 parts of Yellow River sediment; the modified biochar has a high specific surface area and a rich pore structure, diffusion and storage of nutrient ions are facilitated, the biochar-based slow-release fertilizer has an excellent slow-release effect, initial leaching loss of nutrients can be effectively reduced, the fertilizer efficiency is prolonged, the comprehensive utilization rate of nitrogen, phosphorus and potassium is increased, soil can be improved, and the fertilizer has a good application prospect. The soil organic matter is increased, the granular structure is improved, the water and fertilizer retention capacity is enhanced, the pH value is adjusted, Yellow River silt and agricultural waste are utilized, the green low-carbon circular agriculture development direction is met, and good market feasibility and popularization potential are achieved.

The present application belongs to the technical field of geochemistry, and particularly relates to the estimation of the carbon flux of the earth system, and especially relates to a method and system for estimating the carbon flux of the deep-time earth system. The method for estimating the carbon flux of the deep-time earth system provided by the present application solves the four defects in the traditional technology caused by the fixed carbon pool assumption, the neglect of the atmospheric / biosphere carbon content, the isotopic error, and the failure to consider the fractionation effect through dynamic carbon pool segmentation, the inclusion of multi-sphere isotopic composition, and the correction of fractionation effect. The high-precision and verifiable model framework not only improves the scientificity of the deep-time carbon cycle research, but also provides a key tool for analyzing the climate evolution mechanism in the geological history period and predicting the future climate change trend, and has important theoretical innovation and practical application value.

The application relates to an IWIND-LR model-based COD index space-time simulation method and system, and belongs to the technical field of water resource management.The method comprises the following steps: based on an IWIND-LR hydrodynamic water quality-ecology model, a grid-discretized hydrodynamic water quality-ecology model of a target water body is built; based on the dynamic change of the carbon cycle process in the water body, a COD index simulation module is developed; the developed COD simulation module equation is coupled with the grid-discretized hydrodynamic water quality-ecology model in an algorithm, and a grid-discretized COD simulation model of the target water body is established; the result of water quality COD space-time simulation analysis is expressed, and a COD time sequence and a two-dimensional and three-dimensional visual layer are output. By adopting the method described in the application, the deficiency of the existing water environment model in expressing the carbon cycle process in the water body can be supplemented, and a calculation platform is provided for the simulation of the COD index of the water body.

The invention provides a karst rocky desertification side slope ecological restoration method which comprises the following steps: selecting a rocky desertification side slope region, generating a spherical region range based on geographic coordinates, and recording center coordinates of a target side slope; the method comprises the following steps: acquiring vegetation coverage, height and type distribution data based on remote sensing data and field sampling, and acquiring wind speed, wind direction, soil element distribution, precipitation, runoff, vegetation seed bank quantity, seed bank soil humidity, seed particle size distribution and type distribution data at the same time; generating a wind power field function according to the wind speed and wind direction data, analyzing the soil element content, calculating the total rainwater amount and the total runoff amount, and generating the number of effective vegetation seeds; integrating the parameters to construct a carbon sequestration and slow release model, and outputting a carbon cycle model. According to the method, the carbon sequestration capability of the karst rocky desertification slope ecosystem can be accurately evaluated, the dynamic monitoring and optimization of the ecological restoration effect are realized, and the ecological restoration efficiency and the regional ecological stability are improved.

The invention discloses an in-situ continuous monitoring device and method for greenhouse gas flux of a water-gas interface, a motor system is driven by a control system, a flux box is automatically and accurately lifted to the water-gas interface according to a set period through a traction device, and unattended continuous high-frequency monitoring is realized; the periphery of the flux box is provided with a peripheral anti-wave device connected through a POM plastic bearing, so that shaking, overturning and drifting of the box body caused by stormy waves are effectively inhibited, and the in-situ performance of measurement and the accuracy of data are ensured; the gas in the flux box is monitored in real time by combining a Picarro G2508 high-precision analyzer, so that the technical problems that a traditional box method is low in time resolution, large in environmental interference and poor in stability and a model estimation method lacks reliable verification data are solved; according to the invention, high-timeliness and high-precision day and night dynamic data of greenhouse gas flux can be obtained, and a reliable technical means is provided for carbon cycle research and climate effect evaluation.