基于卫星的城市VOCs高值区识别及长时序变化

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Abstract This paper combined multi-source data to develop the identification approach of VOCs high-emission areas during ozone pollution season (from May to September). At the same time, the spatial distribution pattern and long-term change trend of VOCs during the ozone pollution season in Beijing from 2005 to 2023 was examined and discussed based on satellite-derived HCHO column concentration. The results showed that the concentration of VOCs in Beijing is at a high level within the Beijing-Tianjin-Hebei region, and its distribution was significantly affected by human activities. The total amount of HCHO in the areas of anthropogenic sources dominated was 3.4times of that of natural sources dominated. The high emission areas of anthropogenic sources mostly appeared in the northern, central eastern, and southwestern parts of the urban area of Beijing City. Approximately 61% of the areas were sources of industrial production process and solvent usage, and mainly distributed outside the Fifth Ring Road. Approximately 39% of them were sources of automobile maintenance, logistics warehousing etc., and mainly distributed along highways. This identification method has improved the effectiveness of ozone pollution prevention and control work in the summer of 2023, offering technical support for locating key regulatory objects and areas. From the perspective of interannual variations, the column concentration of VOCs in Beijing showed an increasing trend from 2005 to 2018, with an increase of about 26% (after correction of temperature), while it showed a downward trend from 2018 to 2023, with a decrease of about 11%, reflecting the effectiveness of VOCs emission control in recent years.

Key words： satellite remote sensing HCHO VOCs high emission area spatiotemporal variations

Received: 17 June 2024

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X511

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	WANG Xin-hui
	LI Jin-xiang
	JIANG Lei
	LU Hai-feng
	SHEN Xiu-e
	WANG Qin
	YU Chao

Cite this article:

WANG Xin-hui,LI Jin-xiang,JIANG Lei等. Identification of VOCs high-emission areas and analysis of long-term changes in urban area based on satellite observation[J]. CHINA ENVIRONMENTAL SCIENCECE, 2025, 45(1): 66-77.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2025/V45/I1/66

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