1039 results about "Greenhouse gas" patented technology

The invention relates to the technical field of greenhouse gas monitoring, in particular to a greenhouse gas collaborative monitoring and analysis platform. According to the technical scheme, the system comprises a cross-modal data fusion module, a causal reasoning analysis engine, a holographic dynamic visualization system, a distributed edge computing node and a self-adaptive decision optimization module, and the cross-modal data fusion module is used for integrating satellite remote sensing data, a ground sensor network, unmanned aerial vehicle mobile monitoring data and industrial Internet of Things emission source data in real time; a dynamic weight distribution algorithm is adopted, the multi-source data fusion weight is automatically adjusted according to environmental parameters, and a space-time continuous greenhouse gas concentration field is generated; a causal reasoning analysis engine is based on a hybrid architecture. According to the method, data privacy is guaranteed and delay is reduced through multi-source data fusion, causal reasoning analysis, holographic visualization and edge calculation, and comprehensive and accurate monitoring, scientific prediction analysis, efficient decision execution and risk prevention and control of greenhouse gas are realized based on decision optimization of dynamic games and block chain smart contracts.

Scalable greenhouse gas capture systems and methods to allow a user to off-load exhaust captured in an on-board vehicle exhaust capture device and to allow for a delivery vehicle or other transportation mechanism to obtain and transport the exhaust. The systems and methods may involve one or more exhaust pumps, each with a multi-function nozzle assembly including an exhaust nozzle corresponding to a vehicle exhaust port and a fuel nozzle for supplying fuel to a vehicle fuel tank. Upon engagement with the vehicle exhaust port, the exhaust nozzle may create an air-tight seal between the exhaust nozzle and the vehicle exhaust port. An exhaust conduit may be configured to transport captured exhaust therethrough from the exhaust nozzle to an exhaust holding tank connected to and in fluid communication with the exhaust conduit.

Disclosed in the present invention is a method for whole-time space-air-ground integrated hyperspectral stereoscopic remote sensing, tracing and prediction of greenhouse / pollution gas, comprising: performing remote sensing of multi-source heterogeneous data: utilizing a hyperspectral stereoscopic remote sensing device, a hyperspectral imaging device, a hyperspectral unmanned aerial vehicle remote sensing device, a hyperspectral greenhouse gas remote sensing device based on grating light splitting and a night hyperspectral stereoscopic remote sensing device to perform the remote sensing of the multi-source heterogeneous greenhouse / pollution gas data; performing tracing and early warning of greenhouse / pollution gas components: progressively realizing tracing of greenhouse / pollution gas components at different locations based on the multi-source heterogeneous greenhouse / pollution gas data, and performing emission early warning according to a traced result; and performing stereo fusion and prediction of the multi-source heterogeneous data: performing data feature fusion based on the multi-source heterogeneous greenhouse / pollution gas data, and performing prediction of the greenhouse / pollution gas components at a future moment based on a fusion result. The system can complement the deficiencies of existing greenhouse / pollution gas monitoring and tracing technologies.

Carbon Capture, Utilization, and Storage (CCUS) is a relatively new technology directed to mitigating climate change by reducing greenhouse gas emissions. Current and new government requirements require proof that carbon dioxide (CO2) is either sequestered in a stable form or safely stored for long periods of time. In instances when the CO2 is sequestered through mineral formation, the need for long-term monitoring can be reduced, as the stability of the sequestered CO2 is inherent based on a chemical change in subterranean rocks. The reactions between CO2 and rock formations are influenced by numerous factors, including temperature, pressure, fluid composition, and the mineralogy of the formation. Furthermore, these reactions occur over large spatial areas and long timescales, making them difficult to monitor directly. Methods and systems of the present disclosure, therefore, may use a combination of laboratory experiments, field monitoring, and modeling to provide convincing evidence of CO2 mineral sequestration.

A system for capturing carbon dioxide from flue gas produced by a coke oven includes a coke oven system and a capture system. The coke oven is configured to process coal to produce coke and a flue gas comprising carbon dioxide. The coke oven includes an induced draft fan positioned downstream of the coke oven. The induced draft fan is configured to provide a vacuum to the coke oven and move the flue gas away from the coke oven. The coke oven system also includes a stack open to atmosphere and downstream of the induced draft fan. The capture system is fluidically coupled to the coke oven system at a point between the coke oven and the stack. The capture system is configured to remove carbon dioxide from the flue gas.

The invention relates to the technical field of wetland ecosystem soil carbon sequestration capability, in particular to a seasonal waterlogged wetland soil carbon estimation and dynamic monitoring method, which comprises the following steps of: selecting a sampling zone and a quadrat according to an equal-elevation water level gradient and a vegetation type; an optimal remote sensing estimation carbon model is determined through remote sensing image interpretation and screening of characteristic factors such as image waveband reflectivity, vegetation indexes, principal component characteristics and single-waveband textures, and soil organic carbon spatial distribution characteristics are analyzed through remote sensing inversion and GIS interpolation; constructing a Wetland-DNDC wetland carbon dynamic simulation model based on a DNDC model to predict wetland long-term carbon dynamic change and greenhouse gas emission; the invention provides a method for simulating carbon reserves and carbon dynamic monitoring based on field investigation and coupling a 3S technology with a Wetland-DNDC model. Compared with a traditional field observation method, the method has obvious technical and cost advantages, and can realize the technical advantages of spatial analysis and long-time sequence monitoring. The research method is suitable for a wetland ecosystem with seasonal hydrological characteristic changes.

A method includes: generating a set of tasks; determining, by a machine learning model and based on multiple data types from multiple sources, that an overall risk score exceeds a first failure threshold due to a risk score of a task exceeding a second threshold; selecting a replacement task for the task, the selecting including: receiving, replacement candidates, each replacement candidate including a candidate offset potential and one or more candidate failure mechanisms; assigning, by the machine learning model and to each of the replacement candidates, a replacement score for the replacement candidate based on a failure correlation of the replacement candidate with respect to each other sets of the set of tasks; ranking the replacement candidates based on the replacement scores; and selecting, based on the ranking, the replacement task; and generating, an updated set of tasks including the replacement task.

The invention discloses an energy pollution reduction and carbon reduction evaluation method, system, medium and equipment, relates to the technical field of environmental protection engineering, systematically covers the whole life cycle of technical operation by constructing a comprehensive technical classification system, and forms an integrated pollution reduction and carbon reduction technical system. Meanwhile, according to the method, through a perfect evaluation mechanism, the comprehensive emission reduction potential of atmospheric pollutants and greenhouse gases is coupled, and policy making of pollution reduction and carbon reduction cooperative treatment can be scientifically supported.

The invention discloses a device for collecting greenhouse gas released by a unit in sewage treatment, which comprises a floating module, a detection module and a connection module, and the detection module is mounted on the floating module through the connection module. The detection module comprises a gas-collecting hood, a limiting plate arranged at an inlet of the gas-collecting hood, an aeration unit gas-collecting cavity and a non-aeration unit gas-collecting cavity, the aeration unit gas-collecting cavity and the non-aeration unit gas-collecting cavity are arranged in the gas-collecting hood, a gas detection unit is arranged at the top of the gas-collecting hood, and the aeration unit gas-collecting cavity and the non-aeration unit gas-collecting cavity are both connected with the gas detection unit. The floating module comprises a floating block with a hole, the connecting module comprises a bottom box and a top box, the gas collecting hood is inserted into the top box, the bottom box is inserted into the floating block with the hole, the top box is inserted into the bottom box, and the floating block with the hole, the top box, the bottom box and the gas collecting hood are fixed into a whole through bolts. The aeration unit and the non-aeration unit can be measured by using the same device, so that the complexity and manual operation steps of using a plurality of devices are reduced. The working efficiency is greatly improved, and the field working time is shortened.

A green energy generating system (e.g., thermal, solar, wind, kinetic) is integrated with a thermo molecular separation (i.e., greenhouse gas capturing) system. The output of each system is utilized by the other to form a unitary system that produces green energy (i.e., electricity) while separating / capturing predetermined molecules (e.g., greenhouse gases) from the environment. The process includes providing kinetic energy fluid from an energy source; driving a turbine via the kinetic energy fluid; driving a generator via the turbine to generate electricity; supplying (i) the kinetic energy fluid exiting the turbine and / or (ii) electricity generated by the generator to a molecular separation unit; intaking the predetermined molecules into the separation unit and selectively separating at least one predetermined molecule from other molecules; and capturing the predetermined molecule via a desorption process using heat from thermal energy of (i) the kinetic energy fluid and / or (ii) an electrical heater powered by the electricity.

The invention relates to the technical field of greenhouse gas underway detection, and discloses a large-range greenhouse gas underway detection method suitable for leakage detection of a gas company, and the method comprises the following steps: S1, early-stage preparation; s2, performing field deployment; s3, underway monitoring is carried out; s4, data analysis; s5, confirming and repairing a leakage source; and S6, follow-up monitoring and rechecking are performed, rapid coverage of a large-range to-be-detected area is realized by adopting underway detection, so that a large amount of data is efficiently collected, the problem of non-uniform surface station distribution of a traditional detection method is solved, the concentration data of leaked gas is accurately detected through a mass spectrum underway monitoring system, and the detection accuracy is improved through continuous monitoring. The change trend of the leaked gas concentration along with time lapse can be displayed, and the accuracy of leaked gas detection is improved; and a repair scheme for the leakage source is formulated, the leakage source is repaired and registered in time, subsequent continuous monitoring is performed, and continuous and stable operation of the gas equipment is guaranteed.

The invention discloses a small-scale greenhouse gas tracing method based on numerical simulation and data assimilation, and belongs to the technical field of greenhouse gas tracing. The method comprises the following steps: acquiring real-time meteorological monitoring data in a park, and performing cyclic assimilation; establishing a high-precision backward trajectory tracking system to obtain refined backward trajectory data of a monitoring station; establishing a high-precision greenhouse gas traceability calculation model to obtain greenhouse gas potential emission source distribution data; averaging the emission source distribution data to finally obtain potential emission source comprehensive probability distribution data; according to the invention, through a high-resolution numerical simulation and data assimilation technology, diffusion, transmission and chemical reaction processes of greenhouse gas in a small-scale range can be accurately simulated; meanwhile, the grid empirical weighting function of the traceability algorithm is optimized, the adverse effect of the low-track end point number on the final traceability result is effectively reduced, the robustness of the model is enhanced, and it is ensured that the traceability result is more accurate, reasonable and stable.

The invention discloses a dangerous goods expressway transportation green path planning method based on multi-source data, and relates to the field of traffic transportation planning and management, and the method comprises the steps: obtaining and processing multi-source data related to a dangerous goods expressway transportation green path planning process; calculating an alarm rate, a dangerous goods transportation accident consequence and a risk mitigation factor of each highway section, and constructing a risk assessment model; calculating greenhouse gas and atmospheric pollutant emissions in the vehicle operation process, and constructing an external cost evaluation model in combination with a unit gas monetization price; constructing a dangerous goods expressway transportation green path planning model by taking the lowest transportation risk and the lowest external cost as double targets; and designing a mixed algorithm combining an ant colony algorithm and a simulated annealing algorithm to solve the model, and outputting a result. According to the method, the highway transportation risk of the dangerous goods can be comprehensively evaluated, and a group of path planning schemes in which the transportation risk and the external cost are balanced can be obtained.

The invention discloses a greenhouse gas infrared spectrum fitting method based on instrument linear function iterative inversion, and relates to the technical field of atmospheric greenhouse gas infrared spectrum measurement. According to the greenhouse gas infrared spectrum fitting method based on instrument linear function iterative inversion, through iterative calibration based on infrared spectrum parameters and the instrument linear function, greenhouse gas concentration is obtained, a calibration spectrum is fitted, dynamic conditions such as current environment temperature and gas pressure are obtained, and an absorption cross section reference value in a database is combined, so that the greenhouse gas infrared spectrum fitting method based on instrument linear function iterative inversion is obtained. According to the method, the absorption cross section value under the real condition can be calculated for each wavenumber point, errors caused by fixed parameter hypothesis are eliminated, in addition, the matching degree of a calibration spectrum and an actual measurement spectrum is remarkably improved by iteratively optimizing the center wavenumber and the resolution width of an instrument, and particularly under the conditions of high noise and complex multi-component interference, the accuracy of the calibration spectrum is greatly improved. And the overall precision of spectrum fitting is improved, so that the accuracy and reliability of greenhouse gas concentration inversion data are ensured.

The invention discloses a sky tower ground well integrated carbon emission and carbon sink comprehensive observation system, which comprises a satellite remote sensing module and an unmanned aerial vehicle remote sensing module, which are used for acquiring mining area environmental parameters; the vorticity covariance flux tower is used for collecting wind speed, temperature, CO2 and other greenhouse gas concentration data in real time and calculating the carbon gas exchange flux in the atmosphere; the ground monitoring module is used for monitoring carbon emission and carbon absorption indexes in the surface environment in real time; the underground monitoring module is used for monitoring underground carbon flux data and underground environment parameters; the satellite remote sensing module, the unmanned aerial vehicle remote sensing module, the vortex covariance flux tower, the ground monitoring module and the underground monitoring module are all connected with the central data processing platform in a wired and / or wireless mode, and the central data processing platform is used for generating a unified and accurate mining area carbon emission and carbon sink dynamic map. According to the invention, synchronous observation and data fusion of five observation modules of the sky tower ground well are realized, and full-scale and real-time dynamic observation of carbon emission and carbon sink in a coal mining area is realized.

The invention relates to the technical field of environment-friendly emission of coal-fired power plants, and particularly discloses a nitrous oxide emission reduction control system and method for an SCR denitration device. The denitration inlet flue gas parameter monitoring module and the denitration outlet flue gas parameter monitoring module are arranged at an inlet and an outlet of the denitration device; the ammonia spraying flow adjusting device, the denitration ammonia nitrogen mixing device, the catalyst interlayer temperature collecting system and the denitration outlet flue gas parameter monitoring module are sequentially arranged in the denitration device according to the flue gas output direction. The control system further comprises a data analysis and decision module system. The system is used for monitoring and controlling the nitrous oxide emission concentration of a denitration device, optimal process parameters are calculated and set, a control system is input to adjust the chemical reaction component proportion and the reaction temperature, the denitration reaction is promoted to generate nitrogen, the yield of greenhouse gas nitrous oxide is reduced, and nitrous oxide emission reduction control is achieved.

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 discloses an atmospheric pollutant and greenhouse gas collaborative emission reduction effect evaluation method, and relates to the technical field of atmospheric pollutant emission reduction, and the method comprises the following steps: at the initial stage of the whole process, setting an initial reference flow rate for flue gas according to a historical average empirical value, and introducing the flue gas into a flue; when flue gas enters a flue at an initial reference flow rate, multiple types of sensors are arranged at key positions of the flue, and real-time monitoring and high-frequency sampling are carried out on the flue gas flow state; and carrying out comprehensive analysis on the collected flue gas flow state data by utilizing a pre-trained deep learning model, and identifying a potential turbulent flow risk in the flue gas. The turbulent flow risk is intelligently identified and regulated through the deep learning model, the flue gas flow rate is dynamically optimized, the SCR reaction efficiency and the flow field uniformity are effectively improved, the problems of NOx exceeding and ammonia escape are solved, and cooperative emission reduction of pollutants and greenhouse gas and multi-target optimization of system operation are achieved.

The invention discloses a methane column concentration inversion method and system based on a physically-driven variational auto-encoder, relates to the technical field of greenhouse gas monitoring, and is used for solving the technical problem of low inversion reliability of an existing data-driven methane column concentration inversion mode. The methane column concentration inversion method based on the physical driving variational auto-encoder comprises the following steps: pre-training a decoder module through a loss function containing Jacobian matrix consistency constraint, and freezing network weights of all layers of the decoder module; taking the observation spectrum as the input of the encoder module, outputting posterior probability distribution by the encoder module, sampling any concentration value, and inputting the concentration value into the decoder module for forward simulation to generate a simulation spectrum corresponding to the concentration value; when the difference between the simulated spectrum and the observed spectrum is minimum, determining the optimal methane column concentration as an inversion encoder, and inputting the observed spectrum into an encoder module; and outputting the mean value and the standard deviation of the posterior probability distribution.

The invention relates to the technical field of ecological environment monitoring, in particular to a multi-rotor unmanned aerial vehicle for cooperatively monitoring greenhouse gas and atmospheric pollutants, which comprises a multi-rotor platform, a three-dimensional ultrasonic anemograph, a comprehensive analyzer, a gas inlet pipeline, a support rod, a main GNSS antenna, an auxiliary GNSS antenna, a temperature and humidity sensor and a damping part, the comprehensive analyzer is arranged below the multi-rotor platform; one end of the damping piece is connected with the multi-rotor platform, and the other end is connected with the comprehensive analyzer; the supporting rod is fixed on the center line of the top end of the comprehensive analyzer, and the supporting rod penetrates out of a gap between the multi-rotor platform and the comprehensive analyzer; the three-dimensional ultrasonic anemograph and the main GNSS antenna are correspondingly arranged on the first end head and the first end rod body of the supporting rod; the auxiliary GNSS antenna and the temperature and humidity sensor are correspondingly arranged on the second end head and the second end rod body of the supporting rod. The air inlet pipeline is fixed below the supporting rod; one end of the air inlet pipeline is arranged below the three-dimensional ultrasonic anemograph, and the other end of the air inlet pipeline is communicated with the comprehensive analyzer.

The automatic system for the neutralization of greenhouse gas emissions from ship chimneys with simultaneous energy recovery is characterized by a unit consisting of submerged pumps of suitable flow and pressure supplying the tank (1) for the operation of the desalinator (2) through the reverse osmosis process. The desalinated water is then supplied to a tank (3), where a suitable quantity of alkaline solution, preferably NaOH with the appropriate pH, is introduced through a dosing pump (4) supplied by the NaOH tank (5). The alkaline solution is then fed through a pump (6) with suitable pressure and sprayed into three or more positions for the ionization of flue gases. These positions include the first position, downstream at the entrance of the flue gases into the quench (7) in the venturi tube (8), which constitutes the second position. Together, these form the first stage of processing-ionization of the scrubber. In the third position, the second ionization stage (10) occurs in the Spray tower of the scrubber, where the flue gases exit from the second tower (10) and enter the bottom of the third tower (27) through a ventilation duct with an ammonium hydroxide solution.

Scalable greenhouse gas capture systems and methods to allow a user to off-load exhaust captured in an on-board vehicle exhaust capture device and to allow for a delivery vehicle or other transportation mechanism to obtain and transport the exhaust. The systems and methods may involve one or more exhaust pumps, each with an exhaust nozzle corresponding to a vehicle exhaust port. Upon engagement with the vehicle exhaust port, the exhaust nozzle may create an air-tight seal between the exhaust nozzle and the vehicle exhaust port. A first pipe may be configured to transport captured exhaust therethrough from the exhaust nozzle to. The captured exhaust may be at least temporarily stored in an exhaust holding tank connected to and in fluid communication with the first pipe.

A method includes generating a greenhouse gas (GHG) mitigation credit including identifying a set of tasks to be completed by a respective set of first entities that collectively generate a GHG mitigation having a set of GHG mitigation parameters; receiving, from a second entity, a request for a GHG credit acquisition for the GHG mitigation credit; in response to receiving the request, executing the request for the GHG credit acquisition and providing the GHG mitigation credit to the second entity; and providing, to at least one of the set of first entities, instructions to cause the at least one of the set of first entities to execute a respective task of the set of tasks.

The invention discloses a greenhouse gas concentration time sequence prediction method based on a sudden change perception attention mechanism. The method comprises the steps of data preprocessing, sudden change intensity sequence construction with boundary processing, time sequence feature coding, sudden change perception attention weight calculation, context vector generation and concentration prediction, model training and optimization and model prediction. The method aims to solve the problem that a standard deep learning model is slow in sensing and lagged in prediction for a sudden change event in a concentration sequence, and finally realizes high-precision prediction for future concentration change, especially a sudden concentration peak value by endowing the model with the capability of actively identifying and reinforcing the learning of a historical sudden change mode. The urgent demand for early warning of abnormal emission in practical application is met. The method is particularly suitable for processing foundation observation data with small resolution and even higher resolution, has the core value of improving the prediction capability of concentration dramatic change driven by sudden emission events, and can be widely applied to key scenes such as accurate carbon emission monitoring, environmental pollution early warning and climate model simulation.

The invention relates to the technical field of intelligent operation and maintenance, in particular to a greenhouse gas observation station intelligent operation and maintenance and fault diagnosis method based on digital twinning, which comprises the following steps: acquiring a parameter construction mapping template, judging a track to generate a grading result, identifying a fault output label, generating a scheduling sequence by matching a strategy, and updating a model to generate a diagnosis result. According to the method, an equipment state mapping model is constructed based on a virtual-real mapping mechanism of a unique identifier, accurate matching of a physical object is formed in combination with an initial state and a parameter rule, recognition and grading of a state evolution trend are realized by means of continuous trajectory judgment, and accurate recognition of a fault category is realized by fusing sensing features and fault library features. A hierarchical scheduling instruction is generated through linkage matching of a fault label and a risk strategy, real-time updating of an equipment state and revision of a feedback path are completed according to a scheduling sequence, and pre-judgment and early warning of an equipment operation state and timely and efficient closed loop of fault processing are realized.

The invention discloses a method, a device, equipment, a medium and a product for calculating carbon emission of a steel structural component, and the method comprises the steps: carrying out the data monitoring and collection of a prefabrication process of each steel structural component, so as to obtain energy consumption data, material consumption data and environment CO2 concentration dynamic change data; calculating the unorganized dissipation amount of the greenhouse gas according to the dynamic change data of the CO2 concentration of the environment; according to the energy consumption data, the material consumption data and the unorganized greenhouse gas dissipation amount, calculating the carbon emission of each steel structural member prefabricating process and the carbon emission of a workshop sharing project; and adding the carbon emission of the prefabrication process and the carbon emission of the workshop sharing project to obtain the carbon emission of each steel structural member in the prefabrication process. According to the method, all energy and material consumption generated due to component prefabrication requirements in the steel component prefabrication stage, carbon emission of workshop shared projects and carbon emission caused by unorganized greenhouse gas dissipation are considered, and therefore the accuracy of calculation of the carbon emission of the steel structural component can be effectively improved.

The invention discloses an accounting method for carbon sequestration and emission reduction of soil. The accounting method comprises the following steps: S1, acquiring the average soil temperature # imgabs0 # average soil humidity # imgabs1 # average soil acidity and alkalinity # imgabs2 # average soil microbe number # imgabs3 # average soil microbe activity # imgabs4 # average environment temperature # imgabs5 # average environment humidity # imgabs6 # S2 of selected type soil from a moment t to a moment t + delta t; inputting the average soil temperature # imgabs7 #, the average soil humidity # imgabs8 #, the average soil acidity and alkalinity # imgabs9 #, the average soil microbe number # imgabs10 #, the average soil microbe activity # imgabs11 #, the average environment temperature # imgabs12 #, the average environment humidity # imgabs13 # and the soil type of the selected type of soil into a trained soil carbon sequestration emission reduction amount accounting model; and obtaining the carbon sequestration amount and greenhouse gas emission reduction amount of the selected type of soil. The method can quickly and accurately reflect the actual carbon sequestration and emission reduction conditions of the soil.

The invention discloses a carbon storage space construction method for negative carbon filling mining, which comprises the following steps of: determining the position of a hard and thick rock stratum according to the lithology of overlying strata, determining the height of a gas guide fissure zone based on actual measurement and theoretical calculation, constructing a sealing wall in a to-be-constructed goaf filling area, dividing the goaf filling area into a plurality of spaces arranged at intervals, each space is sealed; gangue filling and grouting are carried out in a caving area above a coal body in a certain area in front of and behind a goaf, and it is ensured that no gas leaks out of a carbon storage space. According to the method, the space after mining is efficiently utilized, safe filling treatment of waste such as gangue is achieved, the storage technology of greenhouse gas such as carbon dioxide is combined, carbon emission is remarkably reduced, and meanwhile resource recycling is promoted.

The invention relates to the technical field of environment monitoring and atmospheric component source analysis, in particular to a method and system for quantitatively evaluating greenhouse gas source contribution. The method comprises the following steps: extracting background concentration and calculating abnormal quantity through robust local weighted regression based on station hourly greenhouse gas concentration data; combining the abnormal quantity with meteorological data, calculating a comprehensive event score, performing event layering, and identifying a strong event window; a backward trajectory is calculated for the strong event hours, and normalized spatial weight distribution is generated; according to the distribution, the observation abnormal quantity is segmented into a local contribution part and an external contribution part according to a mass conservation principle; and the source industry influencing the observation concentration can be judged according to the diagnosis ratio of the characteristic species in the sampling data. According to the method, the quantitative and auditing separation of a concentration increment source can be realized under the condition of not depending on a complex model and strong prior, and the precision, the robustness, the interpretability and the cross-site comparability of a traceability result are effectively improved.

The invention relates to the technical field of construction waste recycling and heavy metal pollution control, in particular to carbonized regenerated aerated concrete as well as a preparation method and application thereof, and the preparation method comprises the following steps: crushing and grinding waste aerated concrete to obtain waste aerated concrete regenerated particles; carbonizing the waste aerated concrete regenerated particles to obtain carbonized regenerated aerated concrete; during carbonization, the waste aerated concrete regenerated particles are subjected to a carbonization reaction to form nano calcium carbonate and a three-dimensional porous structure amorphous silica gel carbonization product. The preparation method of the carbonized regenerated aerated concrete not only provides a new way for improving the structural performance of the waste aerated concrete, but also indicates that the carbonized regenerated aerated concrete possibly shows excellent adsorption performance in the aspect of heavy metal removal; in addition, the ecological environment problem of high emission of carbon dioxide greenhouse gas is solved to a certain extent, and the problem of recycling of waste aerated concrete construction waste is solved.