基于多源碳卫星融合产品的中国地区XCO<sub>2</sub>与人为CO<sub>2</sub>排放时空变化

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Abstract Accurately assess the spatiotemporal changes of atmospheric CO₂ concentration and anthropogenic CO₂ emission, is critical to mitigate greenhouse gas emissions contributing to climate change. The spatial distribution and interannual change of column-averaged dry air mole fraction of CO₂ (XCO₂) and anthropogenic CO₂ emission in China from 2010 to 2020 were evaluated using the continuous XCO₂ dataset (Mapping-XCO₂) fused from the Greenhouse Gases Observing Satellite (GOSAT) and Orbiting Carbon Observatory (OCO-2). Results showed that Mapping-XCO₂ had a high consistency with in-situ observations from atmospheric background stations, indicating the potential of Mapping-XCO₂ to apply for regional analysis. From 2010 to 2020, the annual average XCO₂ in China was 400.4×10^-6, with a high value in the East and a low value in the West. The annual increase rate of XCO₂ was 2.47×10^-6. The XCO₂ anomalies in the non-growing season were well consistent with anthropogenic CO₂ emissions collected from EDGAR and ODIAC, with a correlation coefficient of 0.71 and 0.67 at provincial-level, respectively. The increase rate of anthropogenic CO₂ emissions in Beijing-Tianjin-Hebei, Yangtze River Delta and Pearl River Delta was 0.12×10^-6/a, 0.08×10^-6/a and 0.08×10^-6/a respectively. The results demonstrate the reliability and effectiveness of the satellite retrieved XCO₂ data in evaluating atmospheric CO₂ concentration and anthropogenic CO₂ emissions.

Key words： XCO₂ anthropogenic CO₂ emission Mapping-XCO₂ satellite remote sensing

Received: 21 July 2022

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	WANG Zhen-shan
	SHENG Meng-ya
	XIAO Wei
	YANG Feng-zhu
	LIN Bin
	XU Xing-zhu
	LIU Yi-bo

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WANG Zhen-shan,SHENG Meng-ya,XIAO Wei等. Spatiotemporal changes of XCO₂ and anthropogenic CO₂ emission in China based on multi-source carbon satellite fusion product[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(3): 1053-1063.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I3/1053

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