阿克达拉大气本底站甲烷浓度特征及影响因素

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Abstract The observation data of CH₄ concentrations and meteorological elements of Akedala station from 2009 to 2019 were used to analyze the CH₄ concentration changes and influencing factors using random forest model and backward trajectory model with clustering analysis methods. The results showed that the CH₄ concentrations at Akedala station increased significantly during the recent 10yaers with an annual average concentration of (1934.30±30.94)×10^-9 and an average growth rate of 0.45%. The seasonal changes showed high CH₄ in autumn and winter and low CH₄ in spring and summer, with winter (1973.77±36.72)×10^-9>autumn (1935.86±36.14)×10^-9>spring (1922.36±26.38)×10^-9>summer (1920.92±29.82)×10^-9. The CH₄ concentration change at Akedala station is influenced by a combination of meteorological factors, with air temperature and relative humidity playing the dominant roles. Backward trajectory clustering analysis based on HYSPLIT model driven by GDAS meteorological data reveals that air mass movement to Akedala station is mostly along the northwestern path paralleling to the Valley of Erchez River, and passing through Alashankou and Old Wind Pass. In addition, the low movement speed in autumn and winter as well as its high speed in spring and summer could affect the seasonal variation of CH₄ concentrations.

Key words： Akedala station CH₄ cluster analysis random forest model

Received: 15 July 2021

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X511

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	ZHAO Zhu-jun
	LU Zhong-qi
	HE Qing
	WANG Jian-lin

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ZHAO Zhu-jun,LU Zhong-qi,HE Qing等. Study on the concentration variation and impact factors of CH₄ in Akedala atmospheric background station[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(2): 519-527.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I2/519

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