179 results about "Carbon storage" patented technology

The invention relates to a subtropical forest aboveground carbon reserve estimation method fused with a multi-modal remote sensing technology. The method comprises the following steps: acquiring and preprocessing multi-modal remote sensing data of a research area; feature extraction is carried out based on the preprocessed multi-modal remote sensing data; adopting a multi-scale feature fusion method to perform complementary fusion on the extracted feature data; based on the fused feature data, performing model training by adopting a hybrid machine learning method to obtain a carbon reserve estimation model; and estimating the carbon reserve by using the carbon reserve estimation model. According to the invention, subtropical forest aboveground carbon reserves can be accurately estimated, and spatial distribution characteristics and main influence factors of the subtropical forest aboveground carbon reserves can be systematically analyzed.

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 relates to the technical field of environmental science and engineering, in particular to a method for accounting water and soil conservation small watershed carbon sink. The method for accounting the water and soil conservation small watershed carbon sink comprises the steps that a small watershed area is selected; obtaining parameter data of the small watershed area based on the selected small watershed area; calculating a reference line carbon reserve CBSL, t and a project scene carbon sink CPROJ, t after the small watershed region is implemented for t years; and based on the reference line carbon reserve CBSL, t and the project scene carbon sink CPROJ, t of the small watershed region after t years after the small watershed region is implemented, the carbon sink CDRt of the small watershed region after t years after the small watershed region is implemented is obtained by combining net carbon sink accounting, the small watershed region and related parameter data are selected, a calculation formula is adopted to calculate the reference line carbon reserve CBSL of the small watershed region after t years after the small watershed region is implemented, and the carbon sink CDRt of the small watershed region after t years after the small watershed region is implemented is obtained. According to the method, the accurate carbon sink amount CDRt is finally obtained through calculation of the project scene carbon sink amount CPROJ, t and the project scene carbon sink amount CPROJ, t, the vacancy in the prior art is made up, and the practicability is high.

The invention provides a forest carbon reserve prediction method, device and equipment based on forestry carbon sink monitoring, and relates to the technical field of data analysis. According to the method, firstly, a forest optical image and climate-related data are acquired, and the forest optical image at least comprises a red light band and a near-infrared band; secondly, extracting an optical global semantic vector from the forest optical image, and performing semantic constraint on the optical global semantic vector based on growth condition semantic information in the forest optical image to form an optical growth semantic vector; then, a climate global semantic vector is extracted from climate related data; thirdly, performing semantic fusion on the optical growth semantic vector and the climate global semantic vector to obtain a forest global semantic vector; and finally, performing semantic reduction based on the forest global semantic vector to form a carbon reserve prediction result. Based on the above content, the problem that the reliability of forest carbon reserve prediction is relatively low in the prior art can be improved.

The invention discloses a composite carbon sink estimation method based on multi-mode mangrove forest canopy data, and belongs to the technical field of carbon sink calculation in ecological environment monitoring, and the method comprises the steps: obtaining laser radar point cloud data, a hyperspectral remote sensing image and ground actual measurement data of a mangrove forest region; preprocessing the laser radar point cloud data, the hyperspectral remote sensing image and the ground actual measurement data to obtain standardized data; structure parameters and biochemical parameters are inversed based on the standardized data; fusing the structure parameters and the biochemical parameters to construct a comprehensive inversion model; the mangrove forest carbon reserve is calculated through the comprehensive inversion model; and verifying the precision of the comprehensive inversion model through ground measured data, and outputting a final carbon sink estimation result.

The invention discloses a power system carbon emission time sequence simulation method and device considering energy storage carbon storage characteristics. The method comprises the following steps: acquiring a time-interval calculation result and energy storage data of time sequence production simulation of a power system; based on the energy storage data and a pre-constructed energy storage unit carbon emission storage model, calculating a total carbon emission amount and an electrical carbon factor of each energy storage unit; and according to the total carbon emission amount and the electric carbon factor of each energy storage unit, correcting the time-interval time sequence carbon emission data of the power system to obtain the corrected time-interval time sequence carbon emission data and the corrected electric carbon factor of the power system.

The invention discloses an active treatment method for multi-source residual coal gas of a waste mine, which comprises the following steps: firstly, hydraulic fracturing pressure relief permeability improvement and overlying strata separation layer grouting reinforcement are cooperated, the hydraulic fracturing pressure relief permeability improvement establishes a netted fracture network in a coal body to realize permeability improvement, and the overlying strata separation layer grouting reinforcement compacts goaf gangue through grouting and reinforces an overlying strata to form a continuous bearing consolidation body; and therefore, a pressure relief and permeability increasing-strengthening and reinforcing integrated structure is formed, a stable structure and a penetrating seepage network are provided for subsequent displacement and gas extraction, and the subsequent gas extraction efficiency is guaranteed. Then low-temperature liquid CO2 is injected into the coal seam through the injection well, gas displacement and desorption are conducted on gas adsorbed in the coal seam under the action of phase change and competitive adsorption, expansion and development are conducted on fractures to enable permeability to be secondarily enhanced, and meanwhile part of CO2 obtained after displacement is retained and sealed in a coal body and a goaf; on the premise that the gas extraction concentration and efficiency are effectively improved, CO2 can be stored, and the dual effects of resource utilization and carbon storage are achieved.

A system for implementing and optimizing the storage potential of subterranean carbon mineralization can include a fluid injection well subsystem having an injection wellbore, a pumping system, and a fluid injection completion system disposed at an injection range along the injection wellbore, where the fluid injection completion system is configured to control an injection rate of pressurized fluid from the injection range into an active storage zone within a subterranean rock formation. The system can also include a fluid production well subsystem having a production wellbore and a fluid production completion system disposed at a production range along the production wellbore, where the fluid production completion system is configured to control an inflow rate of production fluid from the active storage zone into the production range of the production wellbore. The system can further include a monitoring subsystem configured to monitor carbon mineralization in the active storage zone.

The invention discloses a soybean planting pollution reduction and carbon reduction measure effect prediction method based on machine learning scenario simulation, and belongs to the field of pollution reduction and carbon reduction, and the method comprises the steps: firstly collecting root system and microorganism data of a soybean planting area, and quantifying the interaction intensity through a random forest algorithm; the nitrogen circulation state is judged, and the acceleration degree is determined; predicting the carbon storage change in combination with a support vector machine model; further extracting ecological influence variables, and evaluating the environmental benefit optimization potential through cross-planting condition comparison; performing simulation adjustment on the measure combination with high potential to generate a combined index of nitrogen cycle and carbon storage change; determining a correction coefficient through clustering analysis trend data; and finally, multi-source simulation results are fused to generate a precise ecological influence assessment report. According to the method, the problems of insufficient root-microorganism interaction quantification, weak nitrogen-carbon process coupling analysis and large dynamic prediction deviation in the prior art are solved.

The invention discloses a carbon sink intelligent evaluation platform based on solid waste resource utilization, and the platform constructs a digital elevation model and a canopy height model through aerial remote sensing and ground environment data collection, and evaluates the vegetation net primary productivity in combination with a light energy utilization rate model. Training a soil organic carbon inversion model by adopting machine learning, and analyzing multi-stage hyperspectral image data; and establishing a soil carbon dynamic model to simulate a carbon solid storage and turnover process. Remote sensing data, LiDAR structure parameters and ground actually measured biomass are fused through random forest regression, and the biomass estimation precision is optimized. And finally integrating the plant and soil carbon sequestration amounts, calculating the total carbon sequestration amount of the ecological system and evaluating the temporal and spatial variation characteristics of the total carbon sequestration amount. According to the platform, intelligent and precise carbon sink evaluation is realized, and a scientific basis is provided for ecological restoration and carbon sink management.

The invention relates to the technical field of urban ecological engineering, in particular to a parking lot authigenic plant planting method based on carbon immobilization. The invention provides a parking lot authigenic plant planting method based on carbon immobilization, which is characterized in that a three-stage ecological rotation mechanism is introduced into vegetation construction according to the sequence of a pioneer plant period, a green manure turning and pressing soil returning period and an authigenic plant community succession period to form a parking lot authigenic plant pool, and the parking lot authigenic plant planting based on carbon immobilization is realized. The invention aims to improve the greening ecological benefit and carbon sink capacity of the parking lot by optimizing the soil structure and adopting the crop rotation technology, provides a plant pool structure which adapts to the environment of the parking lot, has high-carbon solid storage capacity and can realize autonomous ecological circulation, and improves the soil health, inhibits diseases and prolongs the plant coverage period through the crop rotation technology. The problems that traditional parking lot greening depends on manual intervention, and the carbon sink benefit is low are solved, and continuous carbon sink under the low maintenance cost is achieved.

The application discloses a kind of mixed mineral materials and methods for promoting long-term storage of sediment organic carbon, the material is composed of a certain proportion of serpentine and magnesite, steps are: 1) select mineral material serpentine and magnesite as raw material;2) serpentine and magnesite are pretreated;3) the serpentine and magnesite after pretreatment are mixed according to certain proportion;4) the mixed mineral material is spread to sediment surface with certain thickness;5) through the reaction of mixed mineral material and sediment organic carbon to generate stable magnesium carbonate mineral, realize long-term storage of sediment organic carbon in situ.The mineral material in the application has the characteristics of environmental friendly, reasonable formula, convenient to use, ecological environmental protection and the like.The application realizes long-term storage of sediment organic carbon in situ by the reaction of mixed mineral material and organic carbon, provides new ideas for water ecological restoration engineering to help carbon neutralization and realize sediment in situ carbon storage.

The invention discloses a low-permeability reservoir CO2 oil displacement storage synergistic interaction regulation and control device, which belongs to the technical field of low-permeability reservoir development and carbon storage, and comprises a CO2 source supply unit, an intelligent injection allocation regulation and control unit, a reservoir injection unit, an oil displacement monitoring unit and a storage synergistic unit which are communicated in sequence, all the units are networked through pipelines and are internally provided with data interaction modules to realize information closed-loop transmission, and the intelligent injection allocation regulation and control unit is a core control end; according to the low-permeability reservoir CO2 oil displacement and storage synergistic interaction regulation and control device, a supply, regulation and control, injection, monitoring and storage integrated closed-loop system is constructed, an intelligent injection allocation regulation and control unit serves as a core, the multi-element coupling relation of oil displacement efficiency, storage capacity and injection parameters is established through a synergistic interaction algorithm model, and according to the real-time dynamic state of an oil reservoir, the oil displacement efficiency, the storage capacity and the injection parameters can be adjusted and controlled according to the real-time dynamic state of the oil reservoir. And the operating parameters of each unit are dynamically adjusted, so that the optimal balance between the CO2 oil displacement efficiency and the storage capacity is realized, and the crude oil recovery rate of the low-permeability reservoir is improved.

The invention discloses a black soil organic carbon and exogenous organic carbon coupling action mechanism analysis device. The device is mainly composed of an outer shell, a discharging drawer, a water tank, an induced draft fan, a water supplementing spray pipe, a material guide plate, a shaking assembly, an upper cover, a feeding box, a heating plate, a gas filling box, an organic carbon storage tank and the like. The discharging drawer at the bottom of the outer shell facilitates material collection, the water tank is connected with the water supplementing spray pipe to guarantee humidity, the induced draft fan and the gas filling box control the gas environment, and the heating plate provides proper temperature for reaction. Materials in the feeding box can be fully mixed through the unique shaking assembly, and it is ensured that the materials evenly enter the device through the special structure of the feeding box. The device can accurately simulate various environmental conditions of coupling of black soil and exogenous organic carbon, interaction of the black soil and the exogenous organic carbon is effectively promoted through the synergistic effect of all the parts, monitoring and analysis of key parameters in the process are achieved, and a reliable experimental platform is provided for researching related mechanisms of the black soil organic carbon.

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

The application provides a vegetation carbon storage prediction method and device and a storage medium, wherein the method comprises the following steps: extracting a feature set of a to-be-measured region according to a remote sensing image, an elevation model and historical vegetation index information of the to-be-measured region; inputting the feature set into a random forest vegetation classification model for prediction to obtain at least one vegetation type of the to-be-measured region and regional information of each vegetation type in the remote sensing image; performing segmentation processing on the remote sensing image of the to-be-measured region based on a pre-trained vegetation segmentation model to obtain at least one vegetation proportion information of the to-be-measured region and corresponding regional information of each vegetation proportion information in the remote sensing image; and determining the carbon storage of the to-be-measured region according to the vegetation type of the to-be-measured region, the regional information of each vegetation type in the remote sensing image, the vegetation proportion information and the corresponding regional information of each vegetation proportion information in the remote sensing image. The application effectively improves the accuracy of forest carbon storage estimation.

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 present application provides a kind of based on ecological damaged partition identification repair method and system, the present application is divided into several independent space units according to preset resolution grid;Identify the regional type and LCZ type of each space unit;Calculate the damaged index of soil conservation, habitat quality, heat relief, rainwater retention, carbon storage, construct evaluation matrix using entropy weight-TOPSIS method, determine the index weight and calculate the comprehensive damage score of each space unit, according to the comprehensive damage score, five levels of ecological damaged partition are divided.Automatic determination of the main damaged type is realized by screening key space units, combining damaged index sorting and relative deviation degree;According to the linkage of regional type, LCZ type and main damaged type, the repair technology knowledge base is retrieved, and the special repair technology recommendation list is generated by matching degree sorting.The present application realizes the fine quantitative evaluation of ecological damage, the tracing of damaged causes and the adaptation of repair technology, solves the problems of low damage identification accuracy and fuzzy damage type definition in existing ecological restoration.

This invention discloses a method for predicting soil organic carbon (SOC) content based on UAV multispectral data, belonging to the field of soil remote sensing monitoring technology. The method constructs a multi-source heterogeneous fusion dataset by collecting soil visible-near-infrared spectral data and environmental data such as topography and climate. The SG-FD algorithm is used to preprocess the spectra to enhance feature signals. A dynamic deep separable convolutional network (DS-DCNN) is constructed, and a scale pyramid dynamic weight module is used to adaptively extract key spectral bands. Environmental driving factors are deeply fused to achieve high-precision prediction of forest soil SOC content. Finally, the SHAP framework is introduced to analyze the contribution of each factor. This invention overcomes the limitations of traditional single-spectral modeling and effectively solves the problems of low SOC inversion accuracy and poor model interpretability in complex forest environments, providing support for forest carbon storage estimation.

The invention discloses a knowledge-guided and process-driven forest soil layered carbon sink simulation system, which comprises the following steps of: screening a continuous and complete soil profile according to forest soil organic carbon layered observation data; optimizing process model parameters of the terrestrial ecosystem at each measuring point by adopting a Bayesian data assimilation technology; processing the current vegetation terrain soil attribute data to obtain multi-modal standardized data as an input variable of a random forest model, performing heterogeneity learning and scale expansion on optimization parameters by using the random forest model, and simulating the organic carbon reserve of the current layered soil based on steady-state hypothesis and external driving data of a lattice point scale; and based on an instantaneous hypothesis, generating a future forest soil layered carbon sink simulation result by taking scale extension parameters and future external driving data as driving and combining current layered soil organic carbon reserves, so as to realize accurate, digital and intelligent monitoring and evaluation of the forest soil carbon sink capacity.

The present application relates to carbon storage monitoring technical field, specifically to a coastal carbon storage dynamic tracking and prediction method, comprising the following steps: S1, collecting multi-source monitoring data of coastal area and performing standardization alignment, constructing ecological factor cross-scale projection atlas; S2, identifying carbon storage jump events caused by vegetation degradation rate mutation, sediment carbon rebound or terrain sudden drop in the atlas, extracting corresponding micro-terrain disturbance structure and ecological disturbance factor combination, and constructing event structure trigger set; S3, inputting the trigger set into carbon storage structure transition prediction model, fusing ecological function area disturbance response parameters, and outputting carbon storage diffusion main path and jump section dynamic tracking graph in future period. The present application realizes accurate identification, dynamic diffusion path tracking and risk grade evaluation of coastal carbon storage jump events, and significantly improves the scientificity and application value of carbon storage migration prediction.

The application provides a low-carbon optimization scheduling method for an electric carbon system considering device variable working condition characteristics, relates to the field of low-carbon optimization scheduling of comprehensive energy systems, and comprises the following steps: a variable working condition efficiency model of an energy conversion device is established, linearization processing is performed on the variable working condition efficiency model, and the linearization processing result is mapped to a carbon emission state to construct an improved carbon emission flow model; a carbon emission flow model of an energy storage device is established; the carbon emission flow model of the energy storage device contains a carbon charging rate used for representing a carbon storage state of the energy storage device; based on the improved carbon emission flow model and the carbon emission flow model of the energy storage device, a comprehensive energy optimization scheduling model under multi-market coupling is constructed; and based on the comprehensive energy optimization scheduling model, a distributed robust optimization method is adopted to determine a scheduling scheme of the comprehensive energy system with the minimum total system cost as an optimization target, so that the collaborative optimization of accurate carbon emission measurement and low-carbon economic scheduling can be realized under the condition of uncertain wind and light source load.

The application discloses a kind of waste oil reservoir carbon storage layer porosity-permeability dynamic evolution prediction method, belong to the technical field of waste oil and gas reservoir carbon seal, comprising: carry out the visualization microfluidic experiment of CaCO3 heterogeneous precipitation under the condition of residual oil;According to the visualization microfluidic experiment result, carry out precipitation characteristic parameter extraction;Based on precipitation characteristic parameter, calculate effective flow porosity, reactive curvature factor and interface reaction correction factor, and then carry out multi-physical field coupling correction to Kozeny-Carman model, obtain the permeability dynamic evolution model;Reservoir permeability evolution prediction is carried out using permeability dynamic evolution model.The application realizes the high-precision prediction of waste oil and gas reservoir carbon storage layer porosity-permeability dynamic evolution, and the multiphase flow and solute transport provide flow velocity and concentration field for geochemical reaction, and the reaction is feedback to affect physical property parameters by changing mineral volume and pore structure, and the physical property parameters are in turn updated flow field, and then dynamic evolution is realized.

This invention relates to the field of reservoir development technology and is a co-injection and production tool for CCUS production wells. It includes a tubing string and a cable packer connected sequentially from top to bottom. The cable packer includes an upper connector, a connecting sleeve, an inner central tube, an anchoring assembly, and a lower connector. This invention has a reasonable and compact structure. The cable packer of this application has gas flow channels and liquid flow channels, enabling physical separation and directional flow of gas-liquid two-phase flows under high pressure, thereby achieving co-injection and production and realizing true "in-well circulation": through "downhole separation and co-injection," the separation, reinjection, and storage of carbon dioxide are compressed into a single well, greatly simplifying surface facilities, reducing investment and operating costs, and significantly improving carbon storage efficiency and speed. Through independent gas flow channels and liquid flow channels, efficient separation of gas-liquid two-phase flows can be achieved under high pressure, solving the technical bottleneck of co-injection and production.

The present application discloses a negative carbon geopolymer slurry, a negative carbon geopolymer and preparation methods thereof. After introducing a carbon dioxide gas into a hydroxide solution, the geopolymer slurry is prepared (sequentially mixed with a sodium silicate solution, fly ash and furnace stone powder are mixed) to form a negative carbon geopolymer slurry with carbon storage function. Moreover, the negative carbon geopolymer slurry formed by this preparation method not only has low preparation cost, but also the negative carbon geopolymer subsequently prepared has certain economic value.

The invention provides a high and steep slope soil aggregate modifier based on a carbon component and a preparation method thereof, and belongs to the field of soil improvement and ecological restoration, and the modifier comprises the following raw materials: a granular organic carbon source, a mineral binding organic carbon source, a nanometer and microbial stabilizer and the like. A preparation method of the modifier comprises the following steps: mixing the humic acid, the leaf mold and the pine needle mulch, putting the mixture into a sodium hexametaphosphate solution, reacting, drying, and grinding to obtain the mineral bound organic carbon source; the preparation method comprises the following steps: uniformly mixing a granular organic carbon source, a mineral combined organic carbon source, nano CaCO3, a microbial stabilizer and the like, adding water, fermenting to obtain a fermentation product, drying, and crushing to obtain the modifier. According to the modifier, through the synergistic effect of multiple components, the ecological function of high and steep slope degraded soil is effectively recovered, the aggregate structure stability of the improved soil can be improved, and the long-term stability of aggregates and the organic carbon storage capacity are enhanced.

The application discloses a novel rice hull pyrolysis reactor and relates to the field of biomass energy sources.The reactor comprises a reaction gas outlet section, a carbon particle screening section and a carbon storage section.The lower end of the reaction gas outlet section is connected to the upper end of the carbon particle screening section in a water seal mode.The lower end of the carbon particle screening section is connected to the upper end of the carbon storage section in a water seal mode.The reaction gas outlet section, the carbon particle screening section and the carbon storage section are arranged in cooperation.The reaction gas outlet section and the carbon storage section are supported by supports during use.The carbon particle screening section connects the reaction gas outlet section and the carbon storage section as an intermediate part.The three sections are connected in a sealed mode through an annular water tank, so that the three sections can be conveniently separated, thereby facilitating maintenance personnel to carry out maintenance.A driving motor drives a driving gear to rotate.The driving gear is engaged with a tooth groove formed in the end face of the second end of a tooth cylinder, so that the carbon particle screening plate can rotate.The carbon particle screening plate is uniformly provided with screening holes, so that carbon particles can uniformly fall and the quality of carbon products can be ensured.

The utility model provides a kind of carbon storage solidification storage bin belongs to carbon storage technical field.This one kind of carbon storage solidification storage bin includes jar storehouse and cover protection mechanism, the bottom of the front side of jar storehouse is equipped with pipe valve, the front side of jar storehouse is equipped with pressure disc, cover shield is movably connected in the front side of jar storehouse, both sides in cover shield inside are movably connected with protection plate, support rod is movably connected in the rear side of protection plate bottom, the inside of support rod is fixedly connected with support seat located in the top of pipe valve, support fixed mechanism is set in the bottom of support rod inside, by setting cover protection mechanism, can form in the top of pipe valve and pressure gauge, cover protection medium to pipe valve and pressure disc, so that user carries out protection operation to the pipe valve and pressure gauge located in the outside of jar storehouse, avoid pipe valve directly with outside dirt rainwater and other impurity medium, corrosion damage even lead to connection leakage condition, thus improve the use protection and security of jar storehouse and pipe valve.

The invention discloses an unmanned aerial vehicle multispectral monitoring method for grassland fragmentation dynamic analysis, and relates to the technical field of grassland ecosystem monitoring, and the unmanned aerial vehicle multispectral monitoring method for grassland fragmentation dynamic analysis comprises the steps: collecting standardized space-time sequence data through an unmanned aerial vehicle multispectral system; processing the data to generate a land cover distribution map and a three-dimensional model; quantifying landscape pattern and soil erosion indexes in a two-dimensional space and a three-dimensional space based on the model; the quantitative indexes are coupled with the ecological process model, and influences on species exchange, soil conservation and carbon storage functions are evaluated; and finally, trend analysis and visual expression are carried out. According to the method, the technical problems of low efficiency, insufficient satellite remote sensing resolution, difficulty in three-dimensional monitoring and incapability of quantitatively associating pattern change with ecological function influence of a traditional method are solved, so that efficient, accurate and three-dimensional quantification of grassland fragmentation dynamics is realized, and the ecological consequence of the grassland fragmentation dynamics is scientifically evaluated.

The invention discloses an ecological system service space-time evaluation and compensation decision method based on multi-model integration, and belongs to the technical field of ecological environment evaluation and decision support. According to the method, firstly, multiple key ecological services such as water yield and carbon sequestration are dynamically quantified through an ecological system service model; the core of the method is that key dominant factors influencing various services are accurately identified through machine learning, and geographical differences of action effects of the factors are further quantified, so that accurate positioning of dominant effects is realized. In addition, complex causal conduction paths among the factors are analyzed by using a structural equation model. According to the method, through deep integration and hierarchical progressive analysis of multiple models, the crossing from phenomenon evaluation to cause diagnosis is realized, and an accurate scientific decision basis is provided for formulating regionalized and differentiated ecological compensation policies and sustainable management strategies.