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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摘要准确评估大气CO₂浓度和人为CO₂排放时空变化对于减缓温室气体排放导致的气候变化至关重要，因此，本文基于GOSAT和OCO-2卫星数据融合生成的全球长时间序列、时空连续的Mapping-XCO₂产品，研究2010~2020年中国大气CO₂柱浓度（XCO₂）时空变化特征以及卫星监测人为CO₂排放能力.结果表明：Mapping-XCO₂与中国大气本底站观测存在较高的一致性，具有良好的适用性；2010~2020年中国XCO₂呈现东高西低的空间分布，年均XCO₂为400.4×10^-6，年增长速率为2.47×10^-6；非生长季XCO₂异常可刻画人为CO₂排放时空变化，各省级行政区非生长季XCO₂异常与人为排放清单EDGAR和ODIAC的相关系数分别为0.71、0.67；2010~2020年京津冀、长三角、珠三角等三个城市群人为CO₂排放增长率分别为0.12×10^-6/a、0.08×10^-6/a、0.08×10^-6/a.研究结果表明卫星遥感在监测大气CO₂浓度和人为CO₂排放时空变化方面的有效性.

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	王震山
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	柳艺博

关键词 ： XCO₂, 人为CO₂排放, Mapping-XCO₂, 卫星遥感

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

收稿日期: 2022-07-21

PACS:

X87

基金资助:国家重点研发计划（2020YFA0607503）；国家自然科学基金资助项目（42130506）；江苏省杰出青年基金资助项目（BK20220055）

通讯作者: 柳艺博,副教授,yiboliu@nuist.edu.cn E-mail: yiboliu@nuist.edu.cn

作者简介: 王震山(1998-),男,四川泸州人,南京信息工程大学硕士研究生,主要研究方向为应用气象.发表论文1篇.

引用本文:

王震山, 绳梦雅, 肖薇, 杨凤珠, 林彬, 徐兴祝, 柳艺博. 基于多源碳卫星融合产品的中国地区XCO₂与人为CO₂排放时空变化[J]. 中国环境科学, 2023, 43(3): 1053-1063. WANG Zhen-shan, SHENG Meng-ya, XIAO Wei, YANG Feng-zhu, LIN Bin, XU Xing-zhu, LIU Yi-bo. Spatiotemporal changes of XCO₂ and anthropogenic CO₂ emission in China based on multi-source carbon satellite fusion product. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(3): 1053-1063.

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