323 results about "Methane emissions" patented technology

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.

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.

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.

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 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 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 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.

The present invention relates to the field of reduction of methane emission in ruminants. Particularly, it relates to the administration of at least one strain of the bacterial genus Acetobacter or the archaeal genus Methanobrevibacter and propanediol mononitrate to a ruminant for reducing the production of methane emanating from the digestive activities of said ruminant.

Suppressing methane gas emissions from paddy rice cultivation is extremely important as a measure against global warming. The challenge here is to achieve both improved rice productivity and environmental protection. Specifically, this involves developing a device that can generate large quantities of high-concentration ultrafine bubble (UFB) water in a short time, by adding methane gas emission suppression to the UFB water. [Solution] The UFB generating apparatus of the present invention incorporates a variable-speed rotary stirring device into a UFB generation tank, and this tank is filled with sandy material. By supplying gas and water to this tank at high pressure, the sandy material layer of gas, water, and sandy material is liquefied. By rapidly rotating this liquefied layer with the rotary stirring device, the gas is confined in the pore water of the liquefied layer and then finely fragmented. Furthermore, by using sandy steel slag as the sandy material, in addition to the UFB effect, methane generation due to silica, lime, and iron oxide is suppressed and crop yields are improved.

The invention discloses a system and a method for measuring and calculating the emission amount of atmospheric pollutants of underground coal fire, and relates to a system for measuring and calculating the emission amount of atmospheric pollutants of underground coal fire. Comprising a power supply module, a methane emission monitoring module, a carbon oxide monitoring module, a nitrogen oxide monitoring module, a sulfur dioxide monitoring module, a black carbon emission monitoring module and an atmospheric pollutant emission flux calculation module. The environmental factor acquisition module, the methane emission monitoring module, the oxycarbide monitoring module, the nitrogen oxide monitoring module, the sulfur dioxide monitoring module, the black carbon emission monitoring module and the atmospheric pollutant emission flux calculation module are all connected with the power supply module; the measuring and calculating method of the underground coal fire atmospheric pollutant emission amount measuring and calculating system comprises the following steps: S1, placing the instrument at a proper position, and adjusting a proper sampling frequency; the problem that the atmospheric pollutant emission flux is difficult to measure and calculate due to intermittency and dispersity of underground coal fire combustion is solved.

Presented herein is a facility design for oil production with zero methane emissions. The facility is flexible to allow variable flow rate requirements through the production cycle of the facility. Equipment is modular and easily movable, which reduces upfront construction cost, time to production revenue, the need for steel on facility, and other long-term material resource requirements. The design reduces emission of greenhouse gases, environmental impacts and landowner lease requirements.

The present invention relates to compositions and methods for reducing methane production in a ruminant population.

The invention discloses a landfill methane long-term monitoring static box device and method, and relates to the technical field of landfill methane emission monitoring. The device comprises a box body with an opening in the bottom, a gas conveying unit, a gas mixing unit, a one-way low-pressure relief valve, a detection module, a power supply unit and a control system. The method comprises a deployment stage, an initialization stage and a monitoring stage, and the methane emission rate can be calculated by automatically injecting air, mixing gas and collecting and transmitting data. According to the device and the method, automatic and long-term continuous monitoring is realized, multi-dimensional parameters are synchronously acquired, the monitoring efficiency and the data continuity are improved, the problems that a traditional static box depends on manpower, the data dimension is single and the like are solved, and data support is provided for an emission reduction strategy.

The present invention describes a system and control method for rumen in-vitro fermentation, said system comprising: -a bionic rumen with a drive module for controlling its movement; -a bionic reticulum with an external extrusion mechanism for regulating its motion; -a connecting structure linking the bionic rumen and bionic reticulum; -a control method that coordinates the movements of the rumen and reticulum to regulate the fermentation process. The bionic rumen and bionic reticulum are interconnected, enabling simultaneous biomimetic digestion and fermentation. By employing soft robotic actuator, the system effectively simulates the kneading and relaxation of the rumen, closely replicating natural digestive mechanics and fermentation kinetics. A real-time monitoring system has been integrated, allowing for online measurement of key parameters such as gas production and composition, thereby enabling more precise analysis of degradation kinetics. This invention provides an advanced research tool platform for ruminant nutrition, enabling improved digestion modeling accuracy. It also delivers significant environmental and economic benefits, including reduced methane emissions and enhanced feed utilization, thereby promoting sustainable livestock production.

The invention relates to the technical field of ship methane monitoring, and discloses a method and a system for monitoring CH4 unorganized escape flux of an LNG (Liquefied Natural Gas) ship. A monitoring system adaptive to the motion state and environmental conditions of the ship is constructed by obtaining the navigational speed, course and wind speed data of the ship in real time, it is ensured that monitoring equipment is located at the optimal sampling position all the time, and the space capturing capacity for dispersive methane leakage is remarkably improved; secondly, the CO2 concentration is innovatively introduced to serve as a marker of tail gas interference, accurate removal of combustion source methane emission is achieved through the concentration ratio relation of CH4 and CO2 in tail gas, and pure leakage concentration data of unorganized escape is effectively separated out; and finally, in combination with the dynamically corrected diffusion coefficient and diffusion equation, discrete concentration distribution data is converted into an accurate escape flux value, the applicability limitation of a traditional static diffusion model in a ship motion scene is overcome, and reliable technical support is provided for quantitative supervision of ship methane leakage.

The invention provides a methane point source emission unmanned aerial vehicle observation inversion method based on large eddy simulation and machine learning. The method comprises the following steps: setting emission source environmental parameters in a large eddy simulation process, carrying out multiple emission analogue simulation, generating emission and unmanned aerial vehicle sampling data, further obtaining a localized methane emission optimization transfer function through machine learning training, and calculating a mass conservation algorithm by utilizing methane two-dimensional concentration distribution which is reconstructed after actual optimization in combination with the mass conservation algorithm. And obtaining an actual methane emission estimation result. According to the scheme, the difference of the point source emission estimation result caused by the atmospheric turbulence information in the low-altitude environment and different flight arrangement level strategies of the unmanned aerial vehicle is fully considered, and the accuracy of the sampling data of the unmanned aerial vehicle and the accuracy of the inversion result are improved.

The disclosure relates to an emission detector for monitoring methane emissions at one or more industrial facilities. The emission detector includes: an enclosure that supports a plurality of sensors, wherein the enclosure is configured to permit atmospheric gas to flow by diffusion into space at or near the plurality of sensors, wherein the plurality of sensors include at least one atmospheric sensor configured to measure atmospheric properties of the atmospheric gas that flows into the space at or near the plurality of sensors as well as at least one gas sensor configured to measure concentration of methane in the atmospheric gas that flows into the space at or near the plurality of sensors.

The invention provides an intelligent optimization method for carbon emission reduction of an ecological pasture in extreme weather, and relates to the technical field of intelligent optimization of carbon emission reduction. Comprising the steps that initial monitoring data are collected and preprocessed, and multi-dimensional feature vector output state features are constructed; an LSTM time sequence prediction model is used for analyzing the state of the dairy cow and the activity of methanogens in the rumen, DHI data of an integrated gradient boosting tree model is used for analyzing the amino acid balance and precise nutrition technology of the lactating dairy cow, a dairy cow manure yield prediction model based on a Bayesian network is constructed, a manure management strategy is dynamically optimized, and manure management effect data is output. And constructing a carbon emission reduction comprehensive evaluation model, and evaluating the pasture carbon emission reduction effect. According to the invention, the rumen flora structure is regulated and controlled, the rumen greenhouse gas emission is controlled, the ruminant feed protein level is reduced, and the methane emission is reduced by researching the dairy cow carbon emission rumen microorganism regulation and control technology.

The invention provides a microbial agent and method for cooperating with efficient degradation of chlorinated organics and controlling methane emission, and belongs to the technical field of chlorinated organics degradation, the method comprises the following steps: 1) mixing dechlorination flora with methanogens to obtain a microbial agent; (2) degrading chlorinated organic matters by using the microbial agent; the dechlorination flora contains bacillus subtilis of which the cell number accounts for more than 80%; the cell number ratio of the bacillus subtilis to the methanogens is (10-50): 1. By precisely regulating and controlling the ratio of the dechlorination bacteria to the methanogens, the degradation efficiency of COPs can be effectively improved, meanwhile, the generation amount of methane is reduced, and the synergistic interaction of pollution reduction and carbon reduction is achieved.

The invention provides a farmland net carbon emission prediction method, a farmland net carbon emission prediction system and a farmland net carbon emission prediction device. The farmland net carbon emission prediction method comprises the following steps: acquiring crop related data, nitrous oxide emission measured data, methane emission measured data and carbon sequestration efficiency measured data of different crops in different planting areas; constructing a nitrous oxide emission prediction model according to the crop related data and nitrous oxide emission measured data; constructing a methane emission prediction model according to the crop related data and the methane emission measured data; constructing a carbon sequestration efficiency prediction model according to the crop related data and the carbon sequestration efficiency measured data; calculating a methane emission predicted value, a nitrous oxide emission predicted value and a carbon sequestration efficiency predicted value; and calculating a net carbon emission predicted value according to the nitrous oxide emission predicted value, the methane emission predicted value, the carbon sequestration efficiency predicted value and a preset net carbon emission model. According to the invention, high-precision and regionalized prediction and evaluation of farmland net carbon emission can be realized.