1088 results about "Carbon sequestration" patented technology

The invention aims to provide a mine ecological restoration carbon sequestration rate prediction method for solving the problems of an existing ecological restoration carbon sequestration rate prediction method. The method comprises the following steps: step 1, collecting multiple parameter multi-source data including vegetation growth, earth surface change and soil change of an ecological restoration area; 2, integrating the data, and constructing a dynamic prediction model for the change of the mine ecological restoration carbon sequestration rate; 3, verifying and optimizing the prediction model by using historical data and field observation data; and 4, adopting a machine learning technical means for the optimized prediction model, and establishing a quantitative relationship between the carbon sequestration rate change and ecological restoration means of land utilization, vegetation coverage and soil attributes. The method overcomes the influence of extreme climate events on the carbon sequestration rate of an ecological system, can accurately predict the change trend of the carbon sequestration rate under different ecological restoration strategies in the future, and provides a powerful scientific basis for ecological restoration of a mining area.

The invention discloses an intelligent land engineering carbon sink regulation and control system and method based on dynamic management, and belongs to the technical field of land engineering carbon sink regulation and control. The multi-source spatio-temporal data comprises vegetation indexes, soil parameters, meteorological data and carbon dioxide flux data; the data processing and analyzing module is used for performing fusion processing on the multi-source spatio-temporal data, inverting and calculating the carbon sink or carbon source state of the target area in real time based on a built-in carbon sink accounting model, and generating a carbon sink spatio-temporal distribution diagram; the intelligent decision-making module is used for diagnosing a carbon sink capacity limiting factor based on the carbon sink space-time distribution diagram and generating land engineering regulation and control strategies for different sub-regions; and the execution and feedback module is used for issuing the regulation and control strategy to an execution terminal or a management platform. The method improves the carbon sequestration capacity and regulation and control efficiency of land engineering.

The invention discloses a gobi photovoltaic base ecological restoration carbon sequestration benefit evaluation method and system, and particularly relates to the technical field of ecological environment governance, and the method comprises the following steps: dividing a photovoltaic base region into a photovoltaic panel lower region, a photovoltaic panel inter-row channel region and a photovoltaic field peripheral region, building corresponding ecological simulation models for different regions, and constructing a photovoltaic field simulation model; simulation data are obtained and substituted into the first common calculation model and the second common calculation model respectively, calculation results of all the areas are summarized and substituted into a pre-trained machine learning model, and an output result is an ecological restoration carbon sequestration benefit value used for representing the final score of overall ecological restoration of the photovoltaic base; according to the method, the vegetation restoration and soil carbon storage process can be dynamically simulated, compared with a traditional static monitoring method, the future ecological restoration trend can be predicted, scientific support is provided for long-term ecological management, a targeted ecological optimization scheme can be provided based on regionalized simulation, and the ecological value of renewable energy sources is improved.

The invention provides a carbon neutralization evaluation method for an ecological park, and the method comprises the steps: obtaining the basic data of various carbon assets in the ecological park, and the basic data comprises the natural ecological system carbon sink capability and human activity carbon emission intensity data; according to the carbon asset basic data, a time sequence analysis method is adopted to carry out modeling on the change trend of the carbon sink capacity and the carbon emission intensity, and a change trend model is obtained; modeling the spatial distribution of the carbon reserves and the carbon flux by utilizing a geographic information system technology and combining a change trend model to obtain a spatial distribution model; key variables are extracted from the spatial distribution model, and the effects of different factors on the carbon assets are quantified by adopting a multiple regression analysis method; acquiring carbon asset monitoring data, evaluating data quality, and if an abnormal value exists, performing correction by adopting a data cleaning algorithm; and according to the corrected carbon asset data, adopting a random forest model to predict the carbon sink capacity and the carbon emission intensity, and generating a dynamic evaluation result.

The invention discloses a multi-modal data fused karst forest soil carbon cycle feature extraction method. The method comprises the following steps: acquiring soil physical and chemical protection component carbon data, bioactive component carbon data, isotopic tracing data and the like of different succession stages of a karst forest to establish multi-source heterogeneous data; integrating the obtained multi-source heterogeneous data into a'physical-chemical-biological-isotope 'four-dimensional feature space through feature tensor decomposition; constructing a carbon saturation capacity prediction hybrid optimization model, and outputting lt; the maximum carbon sequestration capacity and component carbon proportion of 53 [mu] m microaggregates; the method comprises the following steps: performing mineralization culture on soil in different succession stages of the karst forest, analyzing a dynamic proportion of exogenous carbon to original soil carbon and an input / output path of soil carbon in combination with a 13C / 15N double-standard-sample time-varying calibration curve, and calculating a carbon stability disturbance threshold. According to the method, collaborative analysis of multi-source data is realized, and the temporal-spatial resolution and the model precision of carbon cycle feature extraction are remarkably improved.

A lidar system and an inversion method for simultaneously detecting carbon sequestration efficiency of the oceanic biological pump and ocean environmental dynamic parameters. The information of Mie scattering and Brillouin scattering intensity and the information of frequency shift and linewidth of Brillouin scattering spectra are combined, and for the detection requirements of the current ocean carbon cycle and dynamic environmental parameters, the vertical profile distribution of the carbon cycle mechanism and environmental dynamic parameters in the euphotic layer is mainly detected; at the same time, the present disclosure constructs an inversion model of the carbon sequestration efficiency of the oceanic biological pump and the temperature and salinity of the environmental dynamic parameters and realizes the synchronous detection of the carbon sequestration efficiency of the oceanic biological pump and the vertical profile distribution of the ocean environmental dynamic parameters in the euphotic layer.

The invention provides an urban carbon neutralization path analysis system and an analysis method thereof. The urban carbon neutralization path analysis system comprises a data acquisition module, a data arrangement module, a region division module, a carbon balance calculation module, a path setting module, a path analysis module and a result output module, according to the invention, through regular rasterization region division, fine modeling of the city space is realized; the carbon sequestration capacity is dynamically estimated by combining multiple types of carbon sources and multiple types of vegetation carbon sequestration factors with an NDVI time sequence index, so that a carbon-oxygen balance calculation result has time sensitivity and spatial resolution; meanwhile, the path analysis module supports a user to set various energy structures, traffic modes and greenbelt lifting parameter combinations to form a multi-path parallel simulation matrix, the selection space of path decision is effectively expanded, the system can realize comparable carbon neutralization evolution analysis according to regions and time periods, and the effects of improving the analysis precision and enhancing the path deduction capability are achieved.

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 provides a mineralization grouting method for reinforcing sequestration of carbon dioxide, and belongs to the technical field of underground goaf grouting filling, the working process comprises the steps that supercritical CO2, micro-nano filler and calcium-containing solid waste are jointly mixed and mixed into slurry, the slurry is injected into a goaf, part of CO2 is turned into a gaseous state to escape in the state of being lower than the supercritical pressure of CO2, and then the CO2 is discharged; bubble cores are formed on the surface of the micro-nano filler, and uniformly distributed micropores are formed in a stone body after the slurry is solidified. Due to the fact that the micropores can seal gaseous CO2, the carbon sequestration amount of the slurry per cubic meter can reach 150-350 kg, and the carbon sequestration capacity of the slurry is higher than the carbon sequestration capacity of a common grouting material. The technological method is easy to operate, supercritical CO2 reacts with the slurry, a large amount of CO2 in the shallow goaf is stored, the solid waste material is used for grouting, meanwhile, the carbon sequestration amount of the slurry is increased, and the grouting cost is saved.

Low-carbon, carbon-neutral, and carbon-negative asphalt composites are disclosed. The composites comprise an asphalt binder and a functionalized biochar incorporated as a partial replacement for the binder and / or mineral filler. The biochar is physically, chemically, or mineralogically modified to enhance dispersion, interfacial bonding, mechanical performance, and carbon sequestration. The invention further includes methods for producing such composites, biochar-based additive compositions, and kits for practical implementation. Applications include asphalt pavements, waterproofing membranes, crack sealants, conductive deicing systems, and VOC-reducing asphalt mixtures. The resulting materials demonstrate improved durability, thermal and electrical properties, and significant reductions in greenhouse gas emissions.

The invention discloses a floating wind power platform self-energized carbon capture and deep sea sealing integrated system, which comprises a floating platform foundation, which comprises a plurality of buoy parts, and the buoy parts are integrated through connecting parts; the double-path carbon capture subsystem comprises an air carbon capture module and a seawater carbon capture module; the air carbon capture module introduces air into the adsorption module through negative pressure, and selectively adsorbs CO2 in the air; the seawater carbon capturing module is used for separating out CO2 from seawater in an electrochemical separation mode; the carbon sequestration subsystem is used for compressing, liquefying and sequestration the CO2 conveyed by the double-path carbon capture subsystem; and the wind power function subsystem comprises a wind power generation tower and power distribution equipment for supplying power to each subsystem. The platform is reasonable in configuration and high in function integration degree, has the advantages of wind energy driving, autonomous operation, continuous carbon capture, on-site storage and the like, is particularly suitable for deep and far sea areas without seabed pipe networks and far away from shore-based power grids, and can be used for application scenes such as wind power plant carbon compensation and ocean carbon removal.

The utility model provides a CO2 carbon sequestration device based on coal ash slurry injection. The CO2 carbon sequestration device comprises a CO2 inlet pipeline, a feeding device, a coal ash slurry tank, a stirring device, an injection device and a CO2 outlet, the feeding device is communicated with the fly ash slurry tank and is used for providing fly ash and water into the fly ash slurry tank; the stirring device is arranged in the fly ash slurry tank and is used for mixing and stirring the fly ash and the water into fly ash slurry; an opening is formed in the upper part of the coal ash slurry tank; the CO2 inlet pipeline and the CO2 outlet are communicated with the upper part of the coal ash slurry tank; and the spraying device is communicated with the coal ash slurry tank through a fluid conveying device so as to spray the coal ash slurry in the CO2 gas inlet pipeline and below the CO2 gas outlet.

The invention discloses a calculation method of an agricultural water and soil resource optimal allocation scheme based on'water-carbon-grain-economy-ecology 'coupling, and relates to a calculation method of a regional agricultural water and soil resource optimal allocation scheme. The method aims at solving the problem that in an existing agricultural water and soil resource allocation method, water resources, economic benefits, carbon resources and ecological benefits are difficult to balance and coordinate. The method comprises the following steps: 1, analyzing supply and demand of agricultural water and soil resources; 2, constructing a regional agricultural water and soil resource multi-objective optimization configuration model by taking different land utilization types as decision variables, taking water resources, economic benefits, carbon resources and ecological benefits as optimization objectives and taking available water amount and total planting area as main constraint conditions; and 3, solving by adopting an optimization algorithm to obtain an agricultural water and soil resource optimization configuration scheme. According to the method, water resources, economic benefits, carbon sequestration benefits and ecological benefits are incorporated into the same optimization framework, target optimization is efficiently and accurately carried out, and the method can be applied to the field of agriculture.

The invention relates to the technical field of wetland ecological restoration. The invention discloses a wetland carbon sink capacity improving method and system based on intelligent regulation and ecological restoration, and the method comprises the steps: laying a multi-parameter sensing network, and monitoring the water level, vegetation growth and soil wetland carbon reserve parameters in real time; obtaining a vegetation NDVI index and surface temperature data, and analyzing the vegetation NDVI index and the surface temperature data to obtain an ecological restoration strategy; according to an ecological restoration strategy, carbon sink dominant plants are combined, and emergent aquatic plants, submerged plants and floating-leaved plants are matched; strengthening the microorganisms, and inoculating a carbon sequestration fungicide; establishing a carbon sink-environmental parameter response model according to the historical intelligent regulation and control data; and inputting the ecological restoration strategy into the carbon sink-environmental parameter response model for analysis, and adjusting ecological restoration data according to an analysis result of the carbon sink-environmental parameter response model. According to the invention, intelligent response to environment change is realized, and the carbon sink efficiency is dynamically optimized.

The invention relates to the technical field of ecological environment protection, in particular to a mangrove forest carbon sink monitoring and metering method based on an unmanned aerial vehicle, a radar and an AI technology, and the method comprises the steps: 1, obtaining the laser radar data of a mangrove forest through a laser radar carried by the unmanned aerial vehicle; step 2, acquiring elevation data in a mangrove forest vegetation layer area, and obtaining point cloud data after topographic error correction; 3, obtaining a multispectral image of the mangrove forest, and obtaining a multispectral data matrix; 4, identifying forest growth data features, constructing a mangrove forest carbon sink prediction model, and predicting the mangrove forest carbon sink amount; step 5, marking the image region with the NDVI value higher than a preset NDVI threshold value as a blade over-dense region; and according to the area of the overdense leaf region and the multispectral data matrix, calculating a light depression factor by using a photosynthetic depression factor formula, determining the carbon sink deviation of the overdense leaf region by using a regional carbon sink deviation formula, and obtaining a real carbon sink value of the mangrove forest according to a carbon sink calculated value obtained by prediction.

The invention discloses a forest carbon sink accurate monitoring system and method based on multi-source data fusion, and relates to the technical field of carbon sink monitoring. In order to solve the problems of low precision and poor timeliness of the traditional monitoring means, the adopted scheme comprises a multi-source data acquisition module used for acquiring satellite remote sensing, unmanned aerial vehicle aerial photography, ground monitoring sensor and meteorological data; the data pre-processing and fusion module is used for pre-processing the collected data and extracting and combining related features through a two-layer fusion method to serve as input data of a carbon sink estimation model; the model construction and optimization module is used for constructing and optimizing a carbon sink estimation model; the result visualization and analysis module is used for displaying a carbon sink estimation result, researching influence factors of forest carbon sinks and predicting a future change trend; and the integration and management module is used for integrating hardware equipment to construct a monitoring platform, developing a monitoring system based on cloud computing and the Internet of Things, and establishing and perfecting a management system. The method is used for monitoring the forest carbon sink.

The embodiment of the invention discloses a reservoir carbon sink accounting method based on multi-source remote sensing data, a related device and a medium. The method comprises the following steps: acquiring multi-source remote sensing data of a target reservoir in a target time period; according to the multi-source remote sensing data, performing inversion to obtain a water surface area dynamic diagram, a chlorophyll a concentration space-time distribution diagram, a CDOM space-time distribution diagram and a water surface temperature space-time distribution diagram of the target reservoir in the target time period; the four diagrams are input into a preset carbon sequestration model for carbon sequestration processing, a unit area greenhouse gas flux value space-time distribution diagram corresponding to the target reservoir is obtained, and each pixel in the unit area greenhouse gas flux value space-time distribution diagram carries a corresponding unit area greenhouse gas flux value; and performing space-time integral processing on the space-time distribution diagram of the greenhouse gas flux value per unit area and the dynamic diagram of the water surface area to obtain a target total carbon sink amount of the target reservoir in the target time period. By implementing the method provided by the embodiment of the invention, the accuracy of reservoir carbon sink accounting can be improved.

The invention provides a low-carbon modular artificial wetland system and a carbon sink collaborative purification method thereof, and relates to the technical field of artificial wetlands, the low-carbon modular artificial wetland system comprises a modular box body, and a water inlet layer, a carbon sink layer and a purification layer which are sequentially arranged in the modular box body from top to bottom; the water inlet layer is used for filtering suspended matters through coarse sand; the carbon sequestration layer is used for adsorbing carbon dioxide through biochar and carbon sequestration microorganisms, and meanwhile, the carbon sequestration capacity is enhanced through the plant-microorganism synergistic effect; the purification layer is used for purifying a water body through an iron-based phosphorus removal material and a zeolite denitrification filler. The technical problems of low-carbon material selection, carbon sink potential excavation, renewable energy source coupling and greenhouse gas emission inhibition of an existing constructed wetland system are solved, the technical effects of efficient sewage purification and carbon emission reduction are achieved, and a carbon emission reduction closed loop of the whole life cycle is achieved.

The invention relates to the technical field of concrete preparation, in particular to a preparation device and a preparation process of carbon-sequestration premixed concrete, and solves the problems that in the existing preparation process of the carbon-sequestration premixed concrete, carbon dioxide gas is inconvenient to inject into the concrete, so that a pipeline is easily blocked, and the production efficiency is high. And concentration control during carbon self-sequestration of the carbon dioxide gas is inconvenient. The device comprises a fixed carbon preparation mechanism and a split-flow carbon injection mechanism, a stirring driving mechanism is installed on the inner side of the middle of the fixed carbon preparation mechanism, a sealing pressure maintaining mechanism is installed at the upper end of the fixed carbon preparation mechanism, and the split-flow carbon injection mechanism is installed on the inner side of the bottom end of the fixed carbon preparation mechanism; the split-flow carbon injection mechanism comprises a conical separation strip; and the conical separation strip is fixedly connected with the bottom end of the stirring and material placing shell. Carbon dioxide gas is conveyed in a pressurized mode, the pipeline can be effectively prevented from being blocked by concrete, the concentration of the carbon dioxide gas can be conveniently monitored and adjusted, and high efficiency of carbon sequestration is kept.

The invention discloses an efficient wet-type cyclone dust collector with dust falling and carbon sequestration functions. The efficient wet-type cyclone dust collector comprises a dust collection chamber with a closed structure, a microorganism culture chamber, a water purification chamber and a sewage chamber, the front end and the rear end of the dust removal chamber communicate with the outside through an air inlet pipe and an air outlet pipe correspondingly, and an axial flow fan and a cyclone separator are fixedly arranged in the dust removal chamber. A microorganism culture tank is arranged in the microorganism culture chamber and comprises a liquid inlet, a liquid outlet, a stirring mechanism and a cleaning mechanism. According to the efficient wet-type cyclone dust collector with the dust falling and carbon sequestration functions, through mutual cooperation of all the parts, a microbial dust removal technology is integrated on the basis of an existing wet-type dust removal technology, energy consumption can be reduced, the dust treatment effect can be improved, greenhouse gases such as carbon dioxide can be captured and fixed, and the dust falling and carbon sequestration functions are achieved. Therefore, air pollution is reduced, the comprehensive energy utilization efficiency of the dust removal system can be improved, and a more environment-friendly and energy-saving solution is provided for the industrial production process.

The invention belongs to the technical field of concrete, and particularly relates to dynamic carbon injection recycled coarse aggregate concrete as well as a preparation method and application thereof. The preparation method of the concrete comprises the following steps: (1) adding the cement, the mineral powder, the recycled coarse aggregate, the fine aggregate, the fly ash, the carbon sequestration agent, the retarder and the water reducing agent into water, and uniformly stirring to obtain a mixed material; (2) injecting carbon dioxide into the mixed material to obtain carbon-mixed concrete; and (3) curing the carbon-mixed concrete to obtain the carbon-mixed concrete. The invention provides a method for preparing dynamic carbon injection recycled coarse aggregate concrete by taking a carbon sequestration agent, a retarder, cement, mineral powder, recycled coarse aggregate, fine aggregate, fly ash and a water reducing agent as raw materials. The method is simple in process and easy for large-scale production. The concrete prepared by adopting the method is relatively high in carbon sequestration rate, excellent in mechanical property and capable of effectively avoiding rapid hydration.

The invention discloses a multi-dimensional trade-off analysis method for watershed ecological service optimization, which belongs to the technical field of multi-dimensional trade-off analysis, and comprises the following steps: S1, adopting a multi-source heterogeneous data fusion algorithm, combining remote sensing, GIS (Geographic Information System), weather and social economic data, and extracting key ecological factors through a random forest; according to the method, Monte Carlo simulation is utilized to generate multiple groups of land utilization scenes, and key tradeoff pairs are identified in combination with principal component analysis, so that challenges of uncertainty and multi-target conflicts in ecological service optimization are effectively coped with; thousands of groups of land utilization patterns are generated through random sampling, ecological service values under different scenes are simulated, and the limitation of single scene hypothesis is avoided; principal component analysis eliminates dimensional differences through standardization processing, extracts dominant ecological service types, and provides a mathematical basis for quantification of a tradeoff relationship.

The embodiment of the invention provides a green land carbon sink benefit optimization method and device. The method comprises the following steps: acquiring data related to carbon sequestration of a plurality of functional zones in a research area, and for each functional zone, determining vegetation carbon sequestration benefits of the functional zone based on the data related to the carbon sequestration; calculating the importance percentage of each item in the influence factor set of the function partition on the vegetation carbon sink benefit, representing the action degree of the influence factors on the greenbelt carbon sink through the importance percentage, realizing the quantification of the carbon sink influence factors, and determining a key factor from multiple influence factors according to the importance percentage, calculating a local standardized regression coefficient of the key factor to analyze the spatial influence of the key factor on the vegetation carbon sink benefit, determining an optimization strategy of the greenbelt carbon sink benefit of the function partition according to the key factor and an analysis result, and formulating the optimization strategy of the greenbelt carbon sink benefit for different function partitions in a targeted manner. And the comprehensive improvement of the urban green land carbon sequestration capability can be realized.

The invention discloses an acid contaminated soil carbon emission reduction method based on a coupled ecological system, which comprises the following steps: adding rice straw biochar into acid contaminated soil, planting plants which are perennial ryegrass, and after the plants are cultivated to a mature period, strengthening the photosynthesis capability of the plants and the carbon sequestration capability of the soil at the same time, so as to improve the carbon sequestration capability of the acid contaminated soil. The negative increase of the CO2 emission cumulant and the remediation of the acidic polluted soil are realized. According to the method, the emission cumulant of CO2 in the acid polluted soil is greatly reduced, the total absorption amount of CO2 reaches up to 193.41 g / m < 2 >-304.41 g / m < 2 >, and the method has the advantages that raw materials are low in cost and easy to obtain, operation is easy, the operation cost is low, secondary pollution is avoided, and the method is suitable for large-scale use and has wide application prospects in the field of carbon emission reduction of the acid polluted soil (such as heavy metal pollution).

The invention discloses a basalt supercritical CO2 mineralization reaction real-time test system and a quantitative analysis method, and the system comprises a basalt micro-fluidic chip which employs a multilayer composite sealing structure to simulate a reservoir fracture environment; the high-temperature and high-pressure reaction device regulates and controls the temperature and pressure conditions of the reduction reservoir through temperature and pressure coordination; the temperature regulation and control system, the fluid pressurization system, the metering system and the image acquisition system are integrated, so that the real-time dynamic monitoring of the mineralization reaction of supercritical CO2 and basalt is realized. Based on a deep learning algorithm and a seepage-reaction coupling model, mineral precipitation morphology and fracture structure evolution laws are automatically analyzed, and dynamic association between seepage characteristics and reaction kinetics is quantitatively represented. According to the method, the experiment authenticity, the observation resolution and the analysis efficiency are remarkably improved, and reliable experiment support is provided for optimization of the carbon sequestration technology.

The invention relates to the technical field of agricultural environmental protection, and discloses a farmland emission reduction and carbon sequestration collaborative optimization system, which is characterized in that a data processing module is used for collecting farmland multi-source data of main grain products and preprocessing the collected data to obtain preprocessed multi-source data; the model building module is used for screening key factors which have obvious influence on farmland carbon reserves on the basis of the preprocessed multi-source data, and building a farmland emission reduction and carbon sequestration model; the collaborative optimization module is used for searching a Pareto optimal solution set in a parameter space by adopting a non-dominated sorting genetic algorithm, and introducing a fuzzy logic controller to process target conflicts to obtain a collaborative optimization scheme of farmland emission reduction and carbon sequestration; the real-time monitoring module is used for monitoring farmland environment change and emission reduction and carbon sequestration effects in real time and regularly adjusting and optimizing a collaborative optimization scheme; the synergism and effectiveness of the technology are improved, collaborative improvement of farmland yield increase and emission reduction carbon sequestration is achieved, and the problem that yield increase and emission reduction carbon sequestration are not collaborative in the prior art is solved.

The invention discloses a fly ash-based geopolymer carbon sequestration adsorption material and a preparation method thereof, and belongs to the technical field of engineering materials. The material disclosed by the invention is modified by adding 13X zeolite with a specific particle size, and the carbon sequestration adsorption performance of the material is remarkably improved through an in-situ hydrothermal conversion process. The fly ash-based geopolymer material and the preparation method disclosed by the invention are simple and easy to implement, are easy to implement in industrial production, and can overcome the defects of low mineralization efficiency and unstable reaction products caused by direct reaction of solid waste with CO2 to generate a mineralized (carbonate) filling material at present. The geopolymer carbon sequestration adsorption material has a wide application prospect, provides a new method for synergistically solving the problems of carbon sequestration, solid waste disposal and waste underground space reutilization, and has important environmental protection, social and economic benefits.

The invention discloses a forest fire carbon emission and carbon sequestration collaborative quantification method and system, and the method comprises the steps: obtaining forest multi-dimensional data including fire point data, and constructing a multi-scale collaborative database; constructing a carbon source-carbon sink dynamic coupling model according to the multi-scale collaborative database; obtaining a forest multi-remote sensing index collaborative weight, and correcting the carbon source-carbon sink dynamic coupling model; and generating a forest spatialization decision map based on the multi-scale collaborative database and the carbon source-carbon sink dynamic coupling model. According to the technical scheme provided by the invention, by fusing forest multi-scale data, a nationwide unified grid system is constructed, and accurate quantification of large-scale forest fire carbon emission and carbon sequestration is realized; a carbon source-carbon sink dynamic coupling model is provided, and cooperative diagnosis of multiple remote sensing indexes is combined, so that the monitoring precision of the fire influence is remarkably improved; and finally, a spatial decision map of forest carbon emission and carbon sequestration is generated, carbon sink protection area delimitation is supported, and a scientific basis is provided for policy formulators.

The invention discloses an ecological environment damage carbon sink alternative restoration calculation and monitoring method, device, equipment, medium and product, and relates to the field of ecological restoration, the method comprises the following steps: obtaining a time sequence remote sensing image of an ecologically damaged land parcel, and determining a damage area and a contrast area; determining the total amount of carbon sequestration before damage of the ecologically damaged land parcel according to the unit area carbon sequestration amount and the damage area of the contrast area; calculating the total compensation measure carbon sink amount of the ecologically damaged land parcel according to the annual carbon absorption amount per unit area of each replanting tree in the ecologically damaged land parcel and the planting area of each replanting tree; and according to the carbon sink total amount before damage, the compensation measure carbon sink total amount, the carbon emission permit transaction price and the carbon sink price, determining the carbon sink loss amount and the carbon sink value amount of the project tree, and monitoring the restoration condition of the ecologically damaged land parcel. The reliability and credibility of calculation of the carbon sink amount of the ecologically damaged land parcel are improved, and the change condition of the carbon sink amount of the ecologically damaged land parcel can be monitored in real time.

The invention discloses a geological carbon sequestration potential evaluation method, device and equipment, a medium and a program product. The method comprises the following steps: preprocessing an initial geological carbon sequestration training data set to obtain a target geological carbon sequestration training data set; constructing a migration optimization model according to the target geological carbon sequestration training data set; inputting the target geological carbon sequestration reasoning data set of the sea area depleted oil and gas field research area into the migration optimization model for multi-field coupling simulation to obtain target geological carbon sequestration evolution data; calculating an initial geological carbon sequestration total amount according to the target geological carbon sequestration evolution data; performing sea area correction on the initial geological carbon sequestration amount to obtain a target geological carbon sequestration amount; the target total geological carbon sequestration amount is used for representing the geological carbon sequestration potential of the sea area depleted oil and gas field research area. The method can improve the reuse rate of the oil and gas data, greatly reduces the training data to reduce the cost of evaluating the geological carbon sequestration potential of the exhausted oil and gas field, and can be widely applied to the technical field of intelligent geological carbon sequestration.