Temporal and spatial distribution characteristics and influencing factors of near-surface methane concentration in China
Utilizing methane data products monitored by the GOSAT satellite,this paper analyzed the spatial distribution and interannual seasonal variation of near-surface methane concentration across China from June 2009 to September 2019.The influencing factors were also explored using correlation analysis and a random forest model.The near-surface methane concentrations in China exhibited substantial spatial variations,with higher concentrations in the eastern regions and lower concentrations in the western regions,displaying.In terms of interannual trends,the methane concentration displayed an increasing pattern over the years at a rate of(8.71~0.96)x10 9/a,and the annual growth rates varied between 7.01 and 11.76x10 9/a across different regions.Seasonally,the methane concentrations tended to peak in summer and autumn,while they decreased in spring and winter.The near-surface methane concentrations were positively correlated with temperature,vegetation,nighttime lights,soil moisture,and precipitation,while negatively correlated with wind for most regions of China.The results of the random forest model indicated that temperature,vegetation,and nighttime lights were the primary factors influencing the near-surface methane concentrations.
near-surface CH4 concentrationsspatial and temporal variationtrend analysisrandom forest