377 results about "Methane emissions" patented technology

The invention provides a methane emission remote sensing intelligent detection method and system based on sparse spectrum reconstruction. The method comprises the following steps: performing first-order Taylor expansion on a Beer-Lambert law; introducing a spatial continuity constraint and a physical diffusion constraint term based on a wind field, and deducing an optimization objective function for inversion of atmospheric methane increment; simulating remote sensing observation hyperspectral radiation brightness values under different methane increment concentrations, and calculating to obtain a unit absorption characteristic spectrum; carrying out dimension reduction processing and clustering operation on the remote sensing hyperspectral image; performing matrix decomposition and sparse reconstruction on the spectrum value according to a clustering result; the hyperspectral image obtained after matrix sparse decomposition reconstruction is equivalent to a background spectral image, and atmospheric methane increment is obtained through calculation; generating an atmospheric methane plume sample based on a large eddy simulation program; constructing a training sample set of methane emission rate machine learning estimation; constructing a machine learning model for estimating the atmospheric methane emission rate; and based on an atmospheric methane increment inversion result, completing methane point source emission rate estimation of a real scene.

The invention relates to the field of landfill methane emission remote sensing monitoring, and discloses a landfill methane emission flux measuring and calculating method and device and a medium, and the method comprises the following steps: based on regional satellite TROPOMI observation data, carrying out qualitative analysis on annual average methane emission signals of a landfill, and determining a target landfill according to a qualitative analysis result; based on data of a satellite-borne hyperspectral imager, the methane emission flux of the target landfill is quantitatively measured and calculated, and the position of a methane emission hot spot area in the target landfill is determined; and positioning the position of an emission source in the target landfill through an active methane laser detection lens carried by an unmanned aerial vehicle platform, and independently calculating the methane emission flux of the target landfill by adopting an upper and lower section method. Based on the method, the annual average methane emission condition of the landfill can be rapidly and accurately evaluated, the methane emission flux of the whole landfill is obtained, and the internal emission hot spot area of the landfill is positioned.

The invention provides a refuse landfill methane emission monitoring method and system for air-ground combined monitoring, ground sampling points are selected by combining topographic features, possible emission hot spot areas and historical operation information of a refuse landfill, and areas which are difficult to reach by ground sampling can be realized through aerial survey air sampling; by integrating ground sampling and aerial survey, high-resolution methane concentration data can be obtained, and meanwhile interference of flowing wind on hot spot area recognition is reduced; by combining ground surface sampling data and aerial survey data, a Getis-Ord Gi * statistical method and a nuclear density estimation method are adopted to carry out bimodal hot spot area identification, a methane emission source area can be positioned more accurately, the precision and efficiency of methane emission monitoring of the refuse landfill are remarkably improved, and the method is suitable for popularization and application. The methane emission source of the refuse landfill is accurately and efficiently found, the emission amount of the methane emission source is evaluated, targeted suggestions are provided for operation of the landfill, and the method has important environmental protection and economic values.

The invention discloses an unmanned aerial vehicle methane traceability monitoring model inversion method and system, and a storage medium. The method comprises the following steps: S1, dividing a research area box type monitoring space based on a research point source or an unorganized surface source; s2, planning an unmanned aerial vehicle planning route in a box type monitoring space of the research area in a layered manner, and starting an unmanned aerial vehicle to execute an unmanned aerial vehicle detection task; s3, constructing a research area box type monitoring simulation space in the geographic space model, extracting longitude and latitude and height information as position information, and extracting methane concentration data, air density data and wind speed data as three attributes of a midpoint of the research area box type monitoring simulation space; s4, performing grid subdivision and interpolation processing on the box type monitoring simulation space in the research area; and S5, performing calculation and inversion by using the methane inversion calculation model to obtain the methane emission flux of the box type monitoring space in the research area. According to the method, through layered methane data monitoring and model data inversion, the methane emission flux above the mining area can be rapidly and accurately obtained.

The invention relates to the technical field of sowing methods, and provides a full-amount straw returning sowing method for high rice yield and rice field emission reduction, which can realize the uniform penetration rate of straws to more than 90%, promote the increase of oxygen content in a plough layer and rhizosphere, effectively promote the oxidation of rice field methane, reduce methane emission and relieve the poison of reducing substances to rice roots. The method effectively relieves the problems of early-stage runt seedlings and later-stage withering of rice under straw returning, saves cost, realizes rice yield increase, and comprises the following steps: 7-10 days before rice harvesting, draining water in a rice field, and adopting a harvester with a straw crushing function and a throwing device for harvesting during harvesting, the method comprises the following steps: chopping straws, uniformly scattering the chopped straws in a field, turning over as soon as possible after rice is harvested, soaking the field in shallow water of 1-2 cm on the field surface for half a day before rice transplanting, performing rotary-tillage-free soil preparation and stubble burying, selecting a rice variety suitable for local climate and soil conditions for seeding, and performing field management and strengthening field disease and pest monitoring after seeding.

According to the rice field methane emission prediction method based on the CH4MN model, the influence of the rice field methane emission microorganism process and soil nitrogen is considered, the uncertainty of simulation is reduced, and rice field methane emission is accurately predicted. Comprising the following steps: S1, acquiring rice field agricultural production input, water management measures, meteorological data, observed rice field soil environment information, rice information and microorganism information as input data of a CH4MN model; s2, based on a CH4MN model algorithm, calculating a substrate source and a soil environment required by methane generation, and the influence of soil nitrogen on organic matter decomposition; s3, calculating the influence of soil oxidation reduction potential, microorganisms and rice plants on methane generation and oxidation based on a CH4MN model algorithm; s4, calculating a methane generation rate and an emission rate based on a CH4MN model algorithm by using the methane generation and oxidation influence factors calculated in the step S1-3; and S5, verifying the CH4MN model precision based on point observation information.

Provided herein, inter alia, are ruminant feed or feed additive compositions, and methods of using these feed or feed additive compositions to reduce methane emissions in ruminants while improving animal performance, these feed or feed additive compositions comprise one or more compounds that increase hydrogen production in ruminants, such as, but not limited to, 3-nitroxypropanol (3NOP) and one or more acetogens.

The invention provides a satellite methane emission sub-pixel unmixing and tracing method, and belongs to the technical field of environment monitoring. Comprising the following steps: S1, tower footing methane flux observation micrometeorological attribution analysis; s2, carrying out ground movement observation on emission hot spots; s3, building a satellite sub-pixel scale methane emission model under the support of tower footing and ground mobile observation data; and S4, sub-pixel unmixing and regional tracing: in the known observation regions in the steps S1 to S3, combining the methane emission flux of the TROPOMI with the methane emission under the scale of the TROPOMI pixel in the step S3 to form a function, and resolving the function equation to obtain sub-pixel unmixing model parameters, and applying the sub-pixel unmixing model parameters to TROPOMI satellite pixels without ground observation to obtain a larger-range methane emission tracing distribution map. According to the method, the dependence on a prior hypothesis is reduced, the stability and reliability of a de-mixing result are improved, the source region identification capability is enhanced, attribution decomposition of different emission sources is realized, and the space-time precision of emission estimation is improved.

The invention discloses a method for observing and inverting regional methane emission based on satellite column concentration, which belongs to the technical field of atmospheric remote sensing monitoring, and comprises the following steps: step 1, modifying a CMAQ regional atmospheric chemical transmission model, adding CH4 species as trace gas to simulate an atmospheric transmission process, modifying an initial condition module and a boundary condition module in CMAQ, and establishing a CMAQ regional atmospheric chemical transmission model; the CH4 can be subjected to set simulation; 2, constructing a high-resolution nested emission inversion system based on a CMAQ region atmospheric chemical transmission model and an EnKF inversion algorithm; according to the high-resolution regional methane emission inversion system constructed through an innovative algorithm and program, satellite column concentration data can be directly assimilated, the uncertainty of CH4 emission estimation is remarkably reduced, and the CH4 simulation precision is improved. Meanwhile, the system has remarkable advantages in the aspects of CH4 emission monitoring and evaluation, and has important application value for realizing'carbon neutralization '.

The invention discloses a mining area methane emission inversion method based on satellite observation and a Gaussian plume model. The method comprises the following steps: S1, acquiring a satellite inversion XCH4 data set, meteorological data, emission list data and global energy monitoring data; s2, determining a methane emission source and a research area in a geographic map by using the emission list data and the global energy monitoring data; s3, obtaining methane background concentration and XCH4 enhancement in the geographic map by using an atmospheric background concentration calculation method; s4, combining XCH4 enhanced spatial distribution and meteorological data in a geographic map to identify a methane enhanced plume of a methane emission source in the research area; and S5, performing Gaussian plume flow field simulation inversion of the methane emission source through the Gaussian plume model, and outputting the methane emission rate of the methane emission source at the current time through inversion of the Gaussian plume model. According to the method, the methane emission and the time sequence data of the methane emission can be obtained through accurate inversion, the frequency of obtaining the methane emission is improved, and the methane emission can be obtained according to time scale accumulation.

The invention belongs to the technical field of atmospheric remote sensing, and relates to an oil and gas field production area methane emission calculation method which comprises the following steps: acquiring simulated spectral intensity data and a column weight function; acquiring actually measured spectral intensity data; inputting the simulated spectral intensity data, the column weight function and the actually measured spectral intensity data into a weighted correction differential spectral absorption algorithm to construct a broadband spectral structure; training a full-connection neural network based on the broadband spectrum structure and the selected features; improving a weighted correction differential spectral absorption algorithm by using the trained full-connection neural network; acquiring the methane total column concentration according to an improved weighted correction differential spectral absorption algorithm; separating the total methane column concentration into a methane column concentration increment; calculating the methane emission of the oil and gas field production area according to the methane column concentration increment. According to the method, the influence of each factor is better and quantitatively expressed by using the full-connection neural network, the uncertainty caused by order selection of a low-order polynomial is reduced, the inversion result is more accurate, and the network structure is clear.

The invention provides a methane emission real-time monitoring system and method.The methane emission real-time monitoring system comprises a multi-point sampler, a methane sensor and a control terminal, the multi-point sampler is provided with a plurality of gas inlet channels, a gas inlet of each gas inlet channel corresponds to each monitoring point, gas outlets of the gas inlet channels are all connected to the methane sensor, and the methane sensor is connected with the control terminal; the control terminal can control the multi-point sampler to carry out gas collection on each monitoring point according to a preset circulation sequence; a temperature and humidity sensor and a wind speed measuring instrument are arranged near the multipoint sampler, and the control terminal is used for correcting methane concentration data by fusing methane concentration data acquired by the methane sensor, temperature data and humidity data acquired by the temperature and humidity sensor and wind speed data acquired by the wind speed measuring instrument through a Kalman filtering algorithm. The problems of random mistaken killing and large environmental interference under the scenes of non-uniform animal house gas distribution, large temperature and humidity difference, complex ventilation environment and the like can be avoided, so that methane concentration data can be obtained more accurately.

The invention belongs to the technical field of agriculture, and particularly relates to a method for promoting rice field carbon sequestration and emission reduction and improving the rice yield through deep soil air injection and oxygenation. According to the method provided by the invention, aiming at paddy field cultivation and tillage environment, paddy field methane emission characteristics and paddy field organic carbon library management design, a soil deep gas injection device is combined with paddy field production management, and soil oxygen content is increased to a corresponding threshold range through soil deep gas injection in combination with a soil organic carbon content background; the organic carbon content of rice field soil and the rice yield are increased while the methane emission of the rice field is reduced.

Systems, devices, and methods including: an air inlet configured to receive air; an air outlet configured to expel air; a duct connected between the air inlet and the air outlet; and an open-cavity optical sensor disposed in the duct, where an air flow stream within the duct passes through the open-cavity optical sensor.

The disclosure relates to an emissions detector for monitoring methane emissions at one or more industrial facilities. The emissions detector includes: a pole; an enclosure mounted on the pole, wherein the enclosure houses at least one sensor, wherein the at least one sensor includes a gas sensor configured to measure concentration of methane in atmospheric gas that flows into the enclosure; and means for removably securing the pole to ground without the use of concrete.

A continuous monitoring method for methane emission of a mine return airway is characterized in that a methane concentration detection method is realized by combining DAS with a WMS technology, the WMS technology has good linearity when the concentration is low, when the absorbance is close to an absorbance threshold value A0, a nonlinear effect begins to appear, and the gas concentration cannot be accurately inverted, at the moment, the DAS technology shows good linearity, and the WMS technology shows high linearity when the gas concentration cannot be accurately inverted. And the detection range can be greatly improved. Therefore, the concentration detection of the methane gas in the whole range can be realized by combining the DAS with the WMS technology, and by setting a proper absorbance threshold value A0, when the absorbance of the detected gas to be detected is lower than the set threshold value, the WMS technology is adopted to ensure the measurement accuracy of the detection system under the low-concentration condition; when the absorbance of the detected to-be-detected gas is higher than a set threshold value, the DAS technology is adopted for detection, so that the nonlinear problem caused by adopting the WMS technology is avoided. The method has high sensitivity to the detected change of the volume concentration of the methane, and the change of the volume concentration of the methane can be detected in time.

The invention discloses an intelligent mine gas monitoring system and a gas safety risk identification and evaluation method. The system adopts a three-layer framework; the sensing layer is integrated with fixed monitoring equipment, mobile inspection equipment and methane emission detection equipment, and global data acquisition is realized through a multi-parameter sensor, an accurate positioning module and a gas emission calculation model; the transmission layer realizes underground data transmission through a wired-wireless hybrid network; and the application layer performs data fusion based on a digital twin mine model, and provides intelligent analysis, visual display and report generation functions. The risk assessment method comprises the following steps: collecting multi-source data in real time and carrying out space-time alignment and Kriging interpolation fusion; dynamically extracting four types of risk factors; identifying an abnormal aggregation area, and associating an equipment state traceability risk; and calculating a risk value through a weighting model, dividing four levels of risks, and triggering a grading response. According to the invention, gas risk dynamic identification, accurate traceability and automatic closed-loop control are realized, and the mine gas safety prevention and control capability is improved.

According to the open pit coal mine methane emission monitoring equipment, the pretreatment device, the sampling air pump and the CH4 analyzer are arranged through the mounting column, and the stability of the mounting column is ensured through the base of the triangular structure support. The pretreatment device is a three-stage progressive filtering unit, dust and steam in the open pit coal mine gas can be removed, and the obtained sample gas can be cleaner and drier and is appropriate in temperature. By utilizing suction force generated by the sampling air pump, air enters an optical cavity of the CH4 analyzer after being treated by the pretreatment device. The CH4 analyzer further comprises a laser and a CH4 optical analysis module, the laser emits a laser beam with a specific wavelength to the optical cavity, and multiple reflections are formed in the optical cavity, so that the effective optical path of the laser beam reaches a preset range; the CH4 optical analysis module measures the concentration of methane in the sample gas by detecting the light intensity change of the laser beam after the laser beam passes through the optical cavity containing the sample gas. According to the scheme, the methane emission condition of the open pit coal mine can be accurately monitored.

The present disclosure provides compositions and methods for reducing methane emissions from a ruminant. The method comprises introducing into a water source for a ruminant and then delivering the water to the ruminant. The compositions advantageously provide a water-stable formulation of a methanogenesis inhibitor.

The invention discloses an online liquid methane preparation full-supercooling filling system and process. The system comprises a liquid methane storage device, a pressurizing pipeline, a liquid methane supercooling filling device, a filling pipeline, a liquid methane discharging device and a discharging pipeline. Wherein the output end of the liquid methane storage device is connected with the input end of the pressurizing pipeline, the output end of the pressurizing pipeline is connected with the input end of the filling pipeline, and the filling pipeline is respectively connected with a first filling branch and a second filling branch after passing through the liquid methane supercooling filling device. The first filling branch is used for being connected with a liquid methane storage tank on a rocket, and the second filling branch is used for being connected with the input end of the discharging pipeline. The output end of the discharging pipeline is connected with the liquid methane discharging device, and a discharging pipeline adjusting valve and a flow measuring instrument are arranged on the discharging pipeline. The system can ensure that the liquid methane flow is stable, meanwhile, the risk of crystallization caused by too low temperature of the supercooled liquid methane is avoided, and full supercooled filling of the liquid methane is achieved.

The invention relates to a methane emission reduction effect technology of biochar in rice-free and rice-containing waterlogged soil. The specific preparation steps of the biochar are as follows: (1) harvesting corn straws; (2) firing the corn straws in the step (1) at 500 DEG C to obtain biochar; and (3) grinding and sieving the biochar in the step (2) to obtain 80-100-mesh corn straw biochar. Before the rice seeds are sown, after the corn straw biochar in different proportions in the step (3) is applied to the land, ploughing and uniform mixing are conducted, and after the rice seeds are sown, the rice seeds grow naturally to determine the optimal carbon sequestration proportion of the biochar. Results show that the rice-free group and the rice group to which 2% of the biochar is applied can well fix the carbon carried by the biochar in the soil, and the accumulated methane emission in the flooded soil can also be remarkably reduced. Scientific basis is provided for straw resource utilization, and the method has very important significance on green and sustainable agricultural development applying the biochar.

The invention discloses a sediment microbial fuel cell sensor and method for monitoring methane emission. The sediment microbial fuel cell sensor comprises an anode, an external resistor, a reference electrode, a reference electrode chamber, a data collector and a monitoring terminal, the anode is buried in wetland bottom mud and is connected in series with the external resistor and the reference electrode; the reference electrode chamber floats in overlying water of wetland bottom mud, the reference electrode chamber is of a hollow cylindrical structure with an open bottom and a sealed top, the bottom of the reference electrode chamber is isolated from the overlying water by adopting a proton exchange membrane, an electrolyte solution is filled in the reference electrode chamber, and the reference electrode penetrates through the top of the reference electrode chamber and is inserted into the electrolyte solution; the external resistor is connected in parallel with a data collector, and the data collector sends collected electric signals to a monitoring terminal. Based on existing researches, the number of electrogenic bacteria in soil and the number of methanogens are found to have high correlation, so that the voltage of the sediment microbial fuel cell can be used as a monitoring index for monitoring the methane emission flux of the methanogens.

The invention provides a one-stop rapid and accurate measuring device for coal seam gas content, and belongs to the technical field of coal mine safety. The device comprises a portable granular coal desorption and efficient crushing integrated device and a gas desorption amount automatic measuring device. The automatic gas desorption amount measuring device adopts a drainage volumetric method to automatically measure the desorption amount, so that manual reading errors are avoided; according to the granular coal desorption and efficient crushing integrated device, compressed air expansion, heat absorption and cooling are achieved through the double-layer light coal sample tank and the gas channel, the heat influence in the crushing process is reduced, and the measurement precision is ensured. According to the invention, the double-layer structure of the desorption measuring cylinder avoids bubble interference, the liquid level, temperature and air pressure integrated sensor realizes automatic measurement of environmental parameters, and the accuracy of desorption amount measurement is improved. And the crushing device adopts a high-speed gear type pneumatic motor and adapts to underground high-temperature, high-humidity and dust environments, so that the reliability of the device is remarkably improved. According to the invention, the underground one-stop rapid measurement of the coal seam gas content is realized, the data is stable and accurate, and reliable basic data is provided for coal mine gas treatment, coal seam gas resource utilization and methane emission metering.

The invention discloses a point source methane emission wave band sensitivity enhancement signal identification method and system. The method aims at accurately identifying methane emission plume observed by a satellite. The identification method comprises the following key steps: data acquisition and preprocessing, refined construction of a methane unit absorption spectrum, sensitive wave band screening, and integration of a methane enhanced signal identification algorithm. The method solves the problems of suppressing false positive and enhancing methane signal detection, reduces the error of a methane concentration inversion result, improves the accuracy and reliability of methane identification by optimizing band selection and integrating an inversion algorithm especially in the aspect of point source methane emission plume identification, and has a good application prospect in the field of point source methane emission plume identification. And high-reliability data support is provided for refined methane emission identification and control.

The invention discloses a methane emission flux analysis method, device and equipment and a storage medium, and belongs to the technical field of atmosphere remote sensing monitoring, and the method comprises the following steps: obtaining methane vertical spectrum data and auxiliary observation data under a target area; based on the methane vertical spectrum data and the auxiliary observation data, separately calculating a source methane concentration field in a target height range; performing spatial-temporal characteristic analysis on the source methane concentration field to obtain a plurality of groups of spatial-temporal orthogonal characteristics, the spatial-temporal orthogonal characteristics being used for representing methane column concentration background change characteristics in a target area and dynamic difference of methane column concentration on a transmission path; and performing energy emission source analysis on the multiple groups of space-time orthogonal characteristics to obtain methane emission intensity distribution of the target area. According to the method, the analysis of the methane concentration can be realized through the statistical relationship, and the accurate analysis of the methane emission flux and the emission attribution can be realized.

The invention discloses a coal mine methane emission estimation method based on backward Lagrange random particle simulation. The method comprises the following steps: S1, acquiring satellite methane concentration monitoring data, meteorological data, EDGAR emission list data and GFEI global fuel development emission list data of a research area; s2, selecting a pixel as an observation point, obtaining an influence factor of methane emission of a virtual emission point pixel on the methane concentration of the observation point pixel through a backward Lagrangian random particle simulation model by utilizing meteorological data to reversely track the motion trail of particles, and constructing a source receptor matrix according to the influence factor; s3, the Bayesian methane emission estimation model carries out observation and prior constraint based on the objective function to obtain posterior emission data of the research area. According to the method, the source receptor matrix is constructed by using the motion trail of the meteorological data reverse tracking particles, and the Bayesian methane emission estimation model performs observation and prior constraint based on the target function to obtain posterior emission data of the research area, so that high-precision methane emission inversion estimation of the coal mine in the research area is realized.

The invention discloses portable equipment for measuring methane emission of ruminants in real time. The portable equipment comprises an equipment main body, the equipment main body is worn on the face of the ruminants, and the peripheral end of the equipment main body is connected with a fixing band; the invention belongs to the technical field of ruminant methane emission determination, and aims to solve the problems that in the prior art, methane determination technical equipment is heavy or an SF6 tracer method sampling system is complex in structure, high in sampling efficiency and low in sampling cost. The technical effects of the device are as follows: through the arrangement of a dual-channel non-dispersive infrared sensor module and a gas concentration analysis module, on the basis of a constant-rate SF6 gas release device preset in the rumen, exhaled gas is collected near the mouth and nose of the ruminant, so that the exhaled gas is collected near the mouth and nose of the ruminant; and the concentrations of CH4 and SF6 are detected in real time by using a non-dispersive infrared (NDIR) sensor.

The invention discloses a raw coal / commercial coal carbon emission monitoring method based on an equivalent particle size. The method comprises the following steps: (1) screening raw coal / commercial coal into n particle size intervals according to particle size equal difference values; (2) measuring the average residual methane content of the particle coal in each particle size interval; (3) if the difference coefficient between the average residual methane content of the particle coal in each particle size interval and the average residual methane content of the raw coal / commercial coal is greater than 5%, returning to the step (1), adjusting the particle size interval and circulating the steps (1)-(3); (4) if the difference coefficient is less than 5%, determining that the interval particle size of the particle size interval is an equivalent particle size; and (5) screening the coal samples according to the equivalent particle size interval, measuring the average residual methane content of the raw coal and the average residual methane content of the commercial coal, and calculating the unit cycle methane emission of the coal preparation plant or the open pit coal mine through a difference value. The method can be used for determining the target particle size interval for measuring the residual methane content of the particle coal in the emission boundary range of a coal mine coal preparation plant or an open pit coal mine, and further calculating the methane emission amount of the coal preparation plant or the open pit coal mine.

The disclosure relates to a system for monitoring methane emissions at industrial facilities. The system includes a network of methane emission detectors at different locations within at least one industrial facility; a gateway device operably coupled to the network of methane emission detectors; and a cloud computing environment operably coupled to the gateway device; wherein the network of methane emission detectors is configured to perform time-series measurements at different locations within the at least one industrial facility and wirelessly communicate time-series sensor data representing such measurements to the gateway device; wherein the gateway device is configured to process the time-series sensor data to derive time-series operational data and communicate the time-series operational data to the cloud computing environment; and wherein the cloud computing environment is configured to receive and process the time-series operational data to detect and characterize methane emission at the at least one industrial facility.

The objective of the present invention is to provide, for example, a feed enabling effective suppression of methane emission by ruminants.　The present invention relates to, for example, a feed for ruminants, which is obtained by combining a methane emission inhibitor and a lumen-protected amino acid.