2023
DOI: 10.3390/rs15061590
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Huge CH4, NO2 and CO Emissions from Coal Mines in the Kuznetsk Basin (Russia) Detected by Sentinel-5P

Abstract: The coal industry is the largest global emitter of carbon dioxide (CO2). However, recent data suggests that coal mine methane (CH4) emissions worldwide are higher than those of the oil and gas industry. Furthermore, the coal industry is less active in reducing methane emissions than the oil and gas sectors due to lower profitability. Although uncertainties remain in quantifying methane emissions from mines, the use of satellite observations is revolutionizing the process of monitoring and improving the accurac… Show more

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Cited by 7 publications
(3 citation statements)
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“…This research provides essential technical support for the accurate quantification of anthropogenic CO 2 emissions in future top-down methods. Meanwhile, in order to be more widely applied to the study of other greenhouse gas emissions such as CH 4 and CO [69], expanding the application of the improved point source diffusion model described in this paper to different types of gases will be the next research direction. This will further enhance the reliability and applicability of the model presented in this article.…”
Section: Discussionmentioning
confidence: 99%
“…This research provides essential technical support for the accurate quantification of anthropogenic CO 2 emissions in future top-down methods. Meanwhile, in order to be more widely applied to the study of other greenhouse gas emissions such as CH 4 and CO [69], expanding the application of the improved point source diffusion model described in this paper to different types of gases will be the next research direction. This will further enhance the reliability and applicability of the model presented in this article.…”
Section: Discussionmentioning
confidence: 99%
“…We then compared the results with the ground station data from the three AISs in Figure 2. A method presented in more detail in 21,22 was used to detect emission events. This method allows relatively fast computational procedures and is divided into two steps.…”
Section: Region Data and Methods Descriptionmentioning
confidence: 99%
“…This is a popular technique for automatic image analysis in background determination and astronomical object retrieval 7,8 . This approach is iterative (consists of one or more iterations) since sigma-cropping is performed in one or more steps and is described in more detail in 9,10 . The advantage of this approach is the relatively fast processing time performed in the R statistical and mathematical data processing environment.…”
Section: Data Used and Methodsmentioning
confidence: 99%