Evaluation of comprehensive monthly-gridded methane emissions from natural and anthropogenic sources in China

Gong, Shiyao; Shi, Yusheng

doi:10.1016/j.scitotenv.2021.147116

Cited by 41 publications

(19 citation statements)

References 57 publications

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“…Gong and Shi [36] reached comparable results. They performed a monthly analysis of CH 4 in China, showing that summer and autumn have the highest values, while winter and spring have the lowest values.…”

Section: Author Copy • Author Copy • Author Copy • Author Copy • Auth...mentioning

confidence: 63%

Use of Satellite Images and the Split Window Algorithm to Detect Fugitive Methane in Tlalnepantla De Baz Landfill

Hernández-Cruz¹,

Wellens²,

Vásquez-Ortiz³

et al. 2022

Pol. J. Environ. Stud.

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Worldwide, the increase in land surface temperature has been attributed to the concentration of greenhouse gases. However, there is no record of timely information that shows which types of land cover relate to major increases in surface temperature. The main aim of this paper is to identify the specific sites in a landfill where biogas is released into the atmosphere. A second objective is to try to find a spatial correlation between the concentration of methane emitted to the atmosphere with the observed surface temperature gradients. The recoverable and fugitive methane fluxes were validated with in situ information, using a LICOR gas accumulation chamber. The surface heat estimate was obtained from the Split Window algorithm, using the TIRS sensor of the Landsat 8. With data obtained in previous studies, both in situ and remote, it was possible to spatially correlate the methane flux released into the atmosphere with the temperature distribution plume within the landfill. The importance of our research is related to the continuous need for surface temperature monitoring on the planet. The use of technological tools such as the one presented here reduces the cost and execution time of environmental studies.

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Section: Author Copy • Author Copy • Author Copy • Author Copy • Auth...mentioning

confidence: 63%

Use of Satellite Images and the Split Window Algorithm to Detect Fugitive Methane in Tlalnepantla De Baz Landfill

Hernández-Cruz¹,

Wellens²,

Vásquez-Ortiz³

et al. 2022

Pol. J. Environ. Stud.

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“…The high CH 4 emission area in Northeast China may be related to oil field exploitation and a large area of wetlands. Anthropogenic methane emissions, such as energy activities, livestock, wastewater and municipal solid waste contribute over 65% of the total emissions in China, according to a recent study [31]. This explains why XCH 4 is positively related with the population.…”

Section: Discussionmentioning

confidence: 99%

“…The determination coefficient of the XCH4 population relationship is 0.7, suggesting the population distribution can largely explain the spatial distribution characteristics of XCH4. A previous study indicated that 85% of methane emissions are related to human activities in China [31]. Given that there is a positive relationship between XCH4 and methane emissions, satellite-derived XCH4 products also suggest that anthropogenic emissions are probably the main source of the methane emissions in China.…”

Section: Spatial Distribution Of Xchmentioning

confidence: 99%

“…According to the report from the European Commission, wetlands and rice account for more than 30% of the total global methane emissions [33]. Gong et al found that paddy fields accounted for 19% of the total emissions [31]. Through high-resolution satellite images, it can be seen that there are a large areas of paddy fields in this area.…”

Section: Rice Producing Areamentioning

confidence: 99%

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The Spatial and Temporal Distribution Patterns of XCH4 in China: New Observations from TROPOMI

et al. 2022

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Methane is the second most important greenhouse gas after carbon dioxide. The intensity and distribution of methane source/sink in China are unknown. We collected the column-averaged dry air mixing ratio of CH4 (abbreviated as XCH4 hereafter) from TROPOMI for the period from 2018 to 2021, to study spatial distribution and temporal change of atmospheric CH4 concentration, providing clues and foundations for understanding the source/sink in China. It was found that the distribution of XCH4 is roughly high in the East, low in the West, high in the South and low in the North. Additionally, an evidently positive linear relationship between XCH4 and population density was witnessed, suggesting anthropogenic emissions may account for a large portion of total methane emissions. XCH4 exhibits evident seasonal characteristics, with the peak in summer and trough in winter, regardless of the different regions. Moreover, we used XCH4 anomalies to identify the emission sources and found its great potential in the detection of methane emission from mining plants, landfill, rice fields and even geological fracture zones.

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“…Peng et al reported China’s anthropogenic CH 4 emissions inventory from 1980 to 2010 and drew the provincial emission maps [ 9 ]. Gong et al provided a monthly inventory of CH 4 emissions from natural and anthropogenic sources in China in 2015 [ 10 ]. Schwietzke et al studied the CH 4 emissions inventories from coal mining in countries around the world, including China, from 1980 to 2011 [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Characteristics of CH4 Emissions in China’s Coal Mining Industry and Research on Emission Reduction Measures

An-yu

Wang

Liu

et al. 2022

IJERPH

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CH4 is the second-largest greenhouse gas and has a significant impact on global warming. China has the largest amount of anthropogenic coal mine methane (CMM) emissions in the world, with coal mining emissions (or gas emissions) accounting for 90% of total energy industry emissions. The results of CH4 emission inventories from previous studies vary widely, with differences in the spatial and temporal dimensions of gas emission factors of belowground mining being the main points of disagreement. Affected by the policies of “eliminating backward production capacity” and “transferring energy base to the northwest”, China’s coal production layout has changed greatly in the past ten years, but the closely related CH4 emission factors have not been dynamically adjusted. This paper investigated 23 major coal producing provinces in China, obtained CH4 emission data from coal mining, calculated CH4 emission factors in line with current production conditions, and studied the reduction measures of coal mine gas emission. According to the CH4 emission data of China’s coal mines in 2018, 15.8 Tg of methane is released per year in the coal mining industry in China, and 11.8 Tg after deducting recycling. Shanxi Province’s CH4 emissions are much higher than those of other provinces, accounting for 35.5% of the country’s total emissions. The weighted CH4 emission factor of coal mining in China is 6.77 m3/t, of which Chongqing is the highest at approximately 60.9 m3/t. Compared with the predicted value of the IPCC, the growth trend of CCM has slowed significantly, and the CH4 utilization rate has gradually increased. This change may be aided by China’s coal industry’s policy to resolve excess capacity by closing many high-gas and gas outburst coal mines. In addition, the improvement of coal mine gas extraction and utilization technology has also produced a relatively significant effect. This paper determines the distribution of methane emissions and emission sources in China’s coal mining industry, which is useful in formulating CCM emission reduction targets and adopting more efficient measures.

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Evaluation of comprehensive monthly-gridded methane emissions from natural and anthropogenic sources in China

Cited by 41 publications

References 57 publications

Use of Satellite Images and the Split Window Algorithm to Detect Fugitive Methane in Tlalnepantla De Baz Landfill

Use of Satellite Images and the Split Window Algorithm to Detect Fugitive Methane in Tlalnepantla De Baz Landfill

The Spatial and Temporal Distribution Patterns of XCH4 in China: New Observations from TROPOMI

Analysis of the Characteristics of CH4 Emissions in China’s Coal Mining Industry and Research on Emission Reduction Measures

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