44 results about "Methane emissions" patented technology

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 dual-fuel engine piston capable of reducing methane emission comprises a piston body, a concave pit is formed in the top face of the piston body to serve as a combustion chamber, the top face of the piston body is connected with the side face of the piston body through a flow guide face, and the combustion chamber is communicated with the flow guide face through a plurality of vortex grooves. A set included angle is formed between the vortex groove and the tangent line of the outer circumference of the combustion chamber; according to the utility model, the flow guide surface is arranged between the piston top surface and the piston side surface, so that natural gas in the backlash can be guided into the combustion chamber for combustion, and methane emission is further reduced. A vortex groove is formed in the top face of the piston, natural gas in a side gap passes through a flow guide face to a motion chamber in a combustion chamber and inevitably passes through the vortex groove, airflow is guided by the vortex groove to form a certain vortex in a cylinder, later-stage combustion is accelerated, combustion is more sufficient, and methane emission is further reduced.

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 reducing methane emissions from ruminants. In particular, the present invention relates to administering to a ruminant diiodomethane in an amount of at least 0.5 g diiodomethane per animal per day for reducing methane production resulting from digestive activities of said ruminant.

The application discloses a kind of methane emission monitoring method, system, equipment and storage medium, it is applied to industrial computer in TDLAS system, it is related to gas detection technical field, comprising: obtaining laser electric signal and solving absorption intensity, and based on light absorption intensity, the methane path integral concentration data corresponding to each scanning angle is determined, the spatial interpolation and fitting of each scanning angle data are carried out, the methane concentration data are obtained, and the methane surface density is determined accordingly, with gas diffusion cross section as integral interval, the methane mass density is obtained by integrating surface density, in combination with real-time wind speed and monitoring time length, the real-time emission rate and total emission are calculated, to improve the accuracy of methane emission monitoring.

The application discloses a landfill methane emission estimation method based on satellite remote sensing observation and wind field information, belongs to the technical field of remote sensing atmospheric environment monitoring and greenhouse gas emission inversion, and comprises the following steps: acquiring TROPOMI satellite XCH4 column concentration data and performing quality control; performing vector rotation on a satellite observation field by using ERA5 wind direction data; performing area weighted resampling and synthesis on the rotated data to obtain annual average methane column concentration distribution; determining a seed point at the center of a research region, generating a methane plume mask by using a region growing algorithm, and calculating a methane enhancement value; calculating a tuning wind speed by using ERA5 wind speed data, constructing a transverse integration strip along a wind direction, and calculating a strip emission contribution; and obtaining a methane emission estimation result through abnormal value screening and average calculation. By using the method, landfill methane emission sources can be effectively identified, and estimation stability can be improved, thereby providing data support for greenhouse gas emission monitoring and inventory evaluation.

This invention relates to the field of feed additive technology, specifically to a compound plant-seaweed feed additive for reducing methane emissions in ruminants and its preparation method. It comprises the following raw materials in parts by weight: 40-60 parts sorghum husk powder, 30-50 parts purple sweet potato powder, 0.5-5 parts functional additives, 5-10 parts red algae, 5-10 parts brown algae, 5-12 parts *Lactobacillus plantarum*, 3-8 parts chitosan, 2-6 parts essential oil, 2-5 parts 3-nitrooxypropanol, 10-15 parts *Scutellaria baicalensis*, 8-12 parts *Codonopsis pilosula*, 3-8 parts *Isatis indigotica*, and 5-18 parts modified zeolite. Through the regulation of *Lactobacillus plantarum* and chitosan, the energy originally used to generate methane is converted into propionic acid. Propionic acid is a major gluconeogenic precursor in ruminants, which is directly converted into glucose for milk production or muscle growth.

The application provides a kind of methane emission source intensity estimation method and system, device, storage medium under the support of multi-source data, belong to the technical field of environmental monitoring, including based on unmanned vehicle observation obtains target evaluation methane emission point source background meteorological data;Based on differential absorption laser radar obtains target evaluation methane emission point source methane concentration data;According to the background meteorological data and the methane concentration data of the target evaluation methane emission point source obtained, a methane Gauss diffusion model is constructed;According to the methane Gauss diffusion model constructed, the methane emission source intensity estimation result is obtained by solving.The application cooperates the monitoring result of unmanned vehicle measurement and differential absorption laser radar measurement to model the methane emission source of target area based on the modeling result and solve, so as to more accurately estimate the methane emission source intensity, high accuracy, long-term sustainability monitoring.

The invention discloses a methane smoke plume recognition and emission estimation method based on multi-constraint background selection, and belongs to the technical field of greenhouse gas remote sensing monitoring and hyperspectral inversion. According to the method, satellite-borne or airborne short-wave infrared hyperspectral observation data is subjected to preprocessing such as radiometric calibration, atmospheric correction and noise suppression, a multi-constraint background pixel screening model including same-column consistency constraint, spectrum slope consistency constraint and diffusion distance constraint is constructed, and a background spectrum library is automatically obtained; based on the background library, an enhanced matched filtering algorithm is adopted to extract the methane concentration enhancement amount, and the system deviation and the false alarm rate are remarkably reduced. A smoke plume area is accurately extracted through spatial filtering, morphological segmentation and connected domain analysis, and the methane emission flux is inverted by combining an integrated quality enhancement (IME) emission estimation model with meteorological wind field data.

In some embodiments, methane leak emissions are quantified accurately in natural gas distribution systems in which mobile surveys are performed on different parts of a target area over an extended reporting period (e.g. a year or more). Emission calculations depend on repair and / or mobile survey schedules, and employ temporal and / or spatial extrapolation in order to account for imperfect real-time information about system state.

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 application discloses a paddy field methane weekly emission flux prediction method based on sensor monitoring data, and relates to the field of agricultural greenhouse gas emission prediction, and comprises the following steps: obtaining paddy field basic records, field management records, sensor monitoring records and methane flux measured records to form a weekly event chain; locking a methane release window according to the weekly event chain and forming a methane release window sequence; calling window-level emission reference records to determine a methane weekly emission flux prediction result; playing back a candidate irrigation and drainage scheme to the weekly event chain to re-form a corresponding prediction result and determine a water-saving and emission-reducing irrigation and drainage scheme; and correcting release window identification basis, reference record calling mode and irrigation and drainage scheme playback results according to actual monitoring and measured results. The application realizes the associated processing of paddy field methane release window identification, weekly emission prediction and irrigation and drainage emission reduction control.

This invention enables accurate measurement of greenhouse gas emissions from animals. It also allows for easy evaluation of the reduction effect of greenhouse gas emissions from animals. Furthermore, it provides a methane emission inhibitor that suppresses methane production from Methanobrevibacter bacteria. [Solution] A bacterial quantification method for quantifying Methanobrevibacter species contained in the rectal feces of animals includes the steps of: collecting rectal feces from an animal; holding the rectal fecal sample in an anaerobic porter under anaerobic conditions; replacing the gas in the anaerobic porter with nitrogen gas, diluting the sample with a culture medium, and culturing the bacteria in a test tube; recovering the cultured bacteria; extracting DNA from the recovered bacteria; and quantifying the Methanobrevibacter species from the extracted DNA by quantitative PCR or a gene analysis method using next-generation sequencing analysis.

The application discloses a kind of methane emission rate measurement method, device, electronic equipment and storage medium, it is related to methane emission measurement technical field.The method comprises: obtaining unmanned aerial vehicle measurement data and vehicle measurement data obtained by measuring target emission source respectively;According to the first position data in unmanned aerial vehicle measurement data, flight trajectory is constructed and is layered according to altitude, according to the first emission attribute data corresponding to each layer flight trajectory, the line flux integral value corresponding to each layer flight trajectory is determined, and the first methane emission rate is determined according to line flux integral value;Based on vehicle measurement data, the initial grid flux of each grid in emission section is calculated using mass balance method, and the initial grid flux is integrated after being expanded by Gaussian plume model, to obtain the second methane emission rate;The first methane emission rate and the second methane emission rate are added to determine the final methane emission rate.The above technical solution improves the accuracy of methane emission rate measurement.

This invention belongs to the interdisciplinary field of animal nutrition and microbial engineering, specifically involving the isolation and cultivation method of a highly active Selenomonas ruminantium SR-21 strain and its application in ruminant feed additives. It is suitable for improving the rumen digestibility of roughage such as straw and silage and reducing methane emissions. The highly active Selenomonas ruminantium SR-21 strain was obtained through targeted screening. Combined with low-cost culture medium and compound microbial agent formulation, the digestibility of NDF was increased to 78%, the methane emission reduction rate reached 42%, and the production cost was reduced by 60%.

To provide a feed supplement that improves metabolic efficiency in ruminants. A composition for reducing methane emissions, the composition comprising an organohalogen compound and an organosulfur compound.

The application discloses a multi-source satellite remote sensing data fusion method for oilfield methane emission feature monitoring, belongs to the application of remote sensing technology in the field of environmental monitoring and energy production, and has the technical scheme that comprises the following steps: obtaining high-resolution data of GOSAT and TROPOMI methane column concentration data of an oilfield to be monitored by adopting geographic weighted regression Kriging interpolation; taking the high-resolution GOSAT data as observation values and the mean value of the high-resolution TROPOMI data as a to-be-optimized state quantity, constructing an observation equation, and obtaining a priori Gaussian distribution; calculating the posterior probability distribution of the mean value of the TROPOMI data, obtaining a cost function, deriving the corresponding mean value of the TROPOMI data, using the mean value and the GOSAT data to obtain a bias correction number, finally correcting the bias of each concentration data in the TROPOMI high-resolution data set, and obtaining a high-precision high-resolution methane concentration data set. The application has the beneficial effect that the multi-source satellite remote sensing data fusion method for oilfield methane emission feature monitoring is provided.

The present disclosure provides for compositions, for example, anti-methanogenic compositions comprising a: i) a haloform; and ii) a high surface area material. The present disclosure further provides a process for preparing compositions, for example, anti-methanogenic compositions and associated methods for reducing methane emission.

This invention relates to the field of reducing methane emissions from ruminants. Specifically, this invention relates to the administration of 3-nitrooxypropanol and / or its derivatives in combination with linoleic acid to ruminants to reduce methane production resulting from the digestive activity of said ruminants.

This application provides a quantitative assessment method for the carbon sink effect of flood control measures in the lower reaches of the Yellow River. It relates to the field of flood control technology and fully considers the core characteristics of the lower Yellow River, including siltation, frequent floods, and a complex ecological environment. It specifically covers typical governance projects such as dike reinforcement, river regulation, Yellow River irrigation, and silt-backed dike reinforcement. The carbon sink effect is subdivided into three core scenarios: greening and carbon sequestration, sedimentary carbon storage, and flood control and emission reduction. This fills the gap in the applicability of general carbon sink methodologies in the field of watershed flood control. The methodology explicitly excludes non-core carbon sink increases from crops, forests, grasslands, flowers, and fruits, focusing on key carbon pools such as trees, shrubs, and soil organic carbon. It also specifically designs accounting logic to address special issues such as organic carbon oxidation during sediment transport and methane emissions caused by flooding, ensuring that the assessment results highly match the actual carbon sink contribution of the lower Yellow River governance and avoiding accounting biases caused by applying general methodologies.

This invention relates to the field of wetland ecological environment monitoring and greenhouse gas emission reduction technology, specifically to a method for assessing the impact of microplastics on methane emissions from wetland soils based on soil carbon composition. This invention assesses the degree of change in methane emissions from wetland soils after the addition of microplastics by measuring changes in the content of organic carbon components in the soil. Results show that, without relying on the detection of functional genes such as methanogens and methanogens, changes in the content of only two key carbon components—dissolved organic carbon and mineral-bound organic carbon—can accurately and quickly assess the direction and intensity of the impact of microplastics on methane emissions from wetland soils. This demonstrates the feasibility, scientific validity, and practicality of the method, providing a simple, efficient, and easily scalable new approach for assessing methane emissions from greenhouse gases under microplastic pollution stress in ecosystems.

The present application belongs to the technical field of agricultural environmental protection, and particularly relates to a method for reducing methane emission in rice field by returning straw to field through enzymatic hydrolysis. The method comprises the following steps: mixing rice straw treated by cellulase and ligninase with surface soil of the rice field at a dosage of 750 kg / ha 2-3 days before rice transplanting, and then performing water management according to the mode of flooding, field drying, re-flooding and intermittent irrigation. Compared with conventional straw returning to field, the method can significantly reduce the cumulative methane emission in the rice field, and the reduction range can reach more than 55.87%. At the same time, the yield of rice is increased by 1.19%, realizing the dual synergistic effect of emission reduction and yield increase. The method is simple to operate and easy to popularize, and has good ecological environmental benefits and economic benefits.

The present disclosure provides anti-methanogenic compositions comprising: (i) a haloform; (ii) a glycol, alcohol, wax, oil, triglyceride, or combination thereof; and (iii) a hydrophobic polymer. The disclosure also concerns animal feed additives and nutritional preparations for ruminant animals comprising such anti-methanogenic compositions as well as methods for making such compositions. The disclosure further concerns methods for reducing methane emissions from a ruminant.

The present invention provides a methane emission reduction device that can reduce the amount of methane produced by anaerobic fermentation in the soil of paddy fields. [Solution] The methane emission reduction device of the present invention comprises a boat body 2 that floats on the water, a propulsion device 4 that moves the boat body, a control unit 22 that controls the unmanned navigation of the boat body on the water surface, a soil working unit 10 suspended from the boat body toward the soil at the bottom of the water, and an oxygen supply unit 12 suspended from the boat body toward the water.

The application provides a laser radar-based methane fine concentration field inversion method and system, device and storage medium, and belongs to the technical field of atmospheric remote sensing monitoring, and comprises the following steps: acquiring data of the interference degree of a gas in an atmospheric environment on different wave number lasers and data of the sensitivity of different methane detection wavelengths to the atmospheric environment; determining a target methane detection wavelength based on the acquired data of the interference degree of the gas in the atmospheric environment on different wave number lasers and the data of the sensitivity of different methane detection wavelengths to the atmospheric environment; performing differential absorption laser radar observation according to the determined target methane detection wavelength; and performing methane concentration inversion on an observation signal by using a Chebyshev fitting inversion algorithm to obtain an inversion result. The laser radar-based methane fine concentration field inversion method and system can improve the precision of laser radar inversion of methane concentration and provide effective support for methane emission reduction.

This invention discloses a method for accurate monitoring of methane emissions from open-pit mines based on a three-dimensional monitoring network. The method comprises the following steps: S1 Preliminary exploration and site optimization; S2 Construction of a three-dimensional monitoring network; S3 Data acquisition and preprocessing; S4 Spatial interpolation reconstruction of the concentration field; S5 Flux calculation in the core emission area; S6 Flux calculation in the peripheral diffusion area and synthesis of total emissions. Compared with existing technologies, this invention overcomes the problem of insufficient representativeness of traditional single-point inspections by constructing a three-level "point-line-surface" three-dimensional monitoring network. In the concentration field reconstruction process, a variable-order Kriging model with external trends of wind field vectors is used to correct the isotropic error caused by conventional spatial interpolation under airflow transport through equivalent transport distance, making the reconstructed concentration field more consistent with real physical laws. The partitioned coupled inversion algorithm significantly reduces the inversion uncertainty caused by complex deep concave terrain, thus achieving accurate monitoring of methane emissions from open-pit mines.

This invention relates to a dual-channel water methane release capture device and a method for measuring the release rate, belonging to the field of water methane release detection technology. The device includes: a methane capture unit configured to capture methane released through diffusion and through bubbles in water, including a methane separation section; the methane separation section is configured to isolate the captured diffusely released methane from the bubble-released methane; and a methane collection unit including a diffusely released methane collection chamber and a bubble-released methane collection chamber, both connected to the methane capture unit. The capture device provided by this invention can isolate and collect methane released through diffusion and through bubbles in water, providing a more advantageous device for monitoring water methane emission processes and conducting greenhouse gas accounting.

The present invention provides an advanced method for permanently sealing orphaned and abandoned wells, effectively mitigating fugitive methane emissions and ensuring long-term environmental safety. The method addresses challenges such as degraded well structures, undocumented compositions, and complex geophysical conditions. It incorporates nine essential steps: well identification, tailored plugging specifications, customized proposals, pre-performance certification, on-site implementation, post-performance reporting, engineering assessments, data archiving, and ongoing monitoring. Durable, impermeable barriers are created using optimized Portland cement formulations, enhanced with additives for expansion and stability. Mechanical bases and techniques like balanced plug placement and perf-and-seal operations address casing damage and hydrocarbon migration risks. Quality control and advanced technologies, including methane detection sensors and drones, verify barrier integrity and durability. This method establishes a robust standard for well plugging, promoting environmental protection and resource management for up to 1,000 years.

The present application relates to a cleaner for reducing greenhouse gas methane emissions from a septic tank. The cleaner comprises, in percentage by weight: 1-5 wt% of an aloe extract, no more than 1 wt% of a seawater-extracted mineral element, 1-10 wt% of sodium carbonate, 1-10 wt% of sodium bicarbonate, 1-10 wt% of sodium thiosulfate, 1-5 wt% of citric acid, 1-3 wt% of lemon oil, 1-7 wt% of an ionic surfactant, 1-5 wt% of calcium oxide, and pure water added to make up to a total of 100 wt%. By putting the cleaner of the present application into a septic tank, methanogenic bacteria in the septic tank can be effectively inhibited, thereby achieving the effect of reducing greenhouse gas methane emissions, relieving the environmental pressure, mitigating the impact of climate variation, and contributing to environmentally sustainable development.

This invention discloses ETD1 Novel uses of genes and methods to reduce rhizosphere methanogen abundance and methane emissions. ETD1 yes OsCNGC13 The superalle, a recessive mutant, significantly reduces rhizosphere methanogen abundance by mediating root calcium ion influx, thereby reducing methane emissions from paddy fields by 60-80%. This invention also provides a [missing information - likely a specific gene or formula]. ETD1 This invention relates to nucleic acid molecules, proteins, recombinant vectors, expression cassettes of genes, and their applications in breeding low-methane-emission rice varieties. Furthermore, this invention provides... OsCNGC13 Gene knockout methods ETD1 Recombinant vector construction methods ETD1 Mutant screening methods and ETD1 ETD1 ETD1 ETD1 ETD1 ETD1 ETD1 ETD1 ETD1 ETD1 A specific molecular marker identification method. This invention provides new gene resources and breeding techniques for the synergistic improvement of disease resistance and low carbon emission traits in rice, and has significant value for agricultural production and environmental applications.