Author(s)

YuChao Zhang

Affiliation(s)

College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350028, Fujian, China.

Corresponding Author

YuChao Zhang

ABSTRACT

Methane, a critical greenhouse gas, significantly contributes to climate warming. This study quantifies methane emissions in Liaoning Province, China—a major industrial region—using TROPOMI satellite data and the Gaussian plume model. Filtered satellite observations and ERA5 meteorological parameters were integrated to retrieve emission rates and spatial patterns. Results indicate annual methane emissions of (720 ± 150) Gg yr^-1, with coal mining accounting for more than 60%. Seasonal analysis highlights elevated winter emissions linked to heating-related coal use. Satellite-derived emissions exceed EDGARv6.0 estimates by approximately 35%, suggesting underreported industrial sources, particularly mine ventilation leaks. The study demonstrates the effectiveness of combining remote sensing and dispersion modeling for regional methane monitoring. Key recommendations include enhancing emission inventories through high-resolution models and promoting methane recovery technologies in coal and steel sectors. These findings emphasize the need for targeted industrial emission controls to address climate and air quality challenges.

KEYWORDS

Gaussian plume model; TROPOMI satellite data; Methane emissions; EDGAR

CITE THIS PAPER

YuChao Zhang. Quantitative study on methane emission in Liaoning province based on gaussian plume model. Frontiers in Environmental Research. 2025, 3(2): 67-71. DOI: https://doi.org/10.61784/fer3032.

REFERENCES

[1] Pang Xinrui. Analysis of methane emission control and emission reduction mechanism under the global carbon trading system. International Institute of green finance, Central University of Finance and economics, 2024.

[2] National Bureau of Statistics. Statistical Communique of the People's Republic of China on the National Economic and Social Development. stats.gov.cn, 2024.

[3] Fuchurui. Influencing factors and utilization ways of methane emission in coal industry. Coal Quality Technology, 2024, 39(4): 40-47.

[4] Liqingqing, Suying, Shang Li, et al. Comparative analysis of China's carbon emissions accounting based on international typical carbon database. Progress in Climate Change Research, 2018, 14(3): 275-280.

[5] Sadavarte P, Pandey S, Maasakkers J D, et al. Methane Emissions from Superemitting Coal Mines in Australia Quantified Using TROPOMI Satellite Observations. Environmental Science & Technology, 2021, 55(22): 16573-16580.

[6] Micallef A, Micallef C. The Gaussian Plume Model Equation for Atmospheric Dispersion Corrected for Multiple Reflections at Parallel Boundaries: A Mathematical Rewriting of the Model and Some Numerical Testing. Sci, 2024, 6(3): 48.

[7] Wangshuying, Gao Yongsheng. The mathematical principle and analogy analysis of the least square method and its related methods. Hans Press, 2024.

[8] Zhuwentao. Retrieval of carbon dioxide emissions from Chinese cities based on satellite remote sensing. Tsinghua University Thesis Service System, 2024.