基于卫星遥感的中国人为CO<sub>2</sub>与大气污染物排放协同关系

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摘要基于多源卫星遥感数据和大气输送模型研究我国人为CO₂与大气污染物(NO₂和CO)排放协同关系以及新冠疫情管控期间污碳排放变化特征.结果表明:高人为CO₂排放对应高浓度的NO₂和CO排放,以省级行政区为单位的2018~2020年非生长季XCO₂异常与XNO₂的相关性(r=0.79)高于与XCO的相关性(r=0.61),且高人为CO₂排放地区燃烧排放效率更高;2020年2月(疫情管控期)我国XCO₂异常、XNO₂、XCO下降的区域范围为2019年2月(疫情同比期)面积的50%、70%和49%,2020年2月XCO₂异常与XNO₂的相关性(r=0.71,P<0.01)高于2019年2月(r=0.59, P<0.01),而XCO₂异常与XCO的相关性(r=0.44, P<0.01)低于2019年2月(r=0.68, P<0.01);受大气输送的影响,2020年2月京津冀受西南方向人为排放地区输送的影响高于2019年2月,而长三角受北部长距离输送的影响降低,珠三角受大气输送的影响最小.研究结果表明卫星遥感可有效用于区域污碳协同排放时空变化特征监测.

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关键词 ：人为CO₂排放, 大气污染, 协同关系, 新冠疫情, 卫星遥感

Abstract：The synergistic effects between anthropogenic CO₂ and atmospheric pollutants emissions, and the change characteristics of the synergistic effects during the COVID-19 epidemic in China were investigated based on multi-source satellite remote sensing data and atmospheric transport model. Results showed that high anthropogenic CO₂ emissions corresponded to high concentrations of atmospheric NO₂ and CO emissions. The XCO₂ anomalies were more correlated with XNO₂ (r=0.79) during the non-growing season than with XCO (r=0.61) at the provincial level. In regions with high anthropogenic CO₂ emission, the combustion emission efficiency tended to be higher. The total area of regions with XO₂ anomalies, XNO₂, and XCO decreasing in February 2020 (epidemic control period) was 50%, 70%, and 49% of that in February 2019 (before the pandemic), respectively. The correlation between XCO₂ anomalies and XNO₂ (r=0.71, P<0.01) in February 2020 was higher than that in February 2019 (r=0.59, P<0.01), while the correlation between XCO₂ anomalies and XCO in February 2020 (r=0.44, P<0.01) was lower than that in February 2019 (r=0.68,P<0.01). Due to atmospheric transport effects, the impact of anthropogenic emissions in the southwest of Beijing-Tianjin- Hebei region was higher in February 2020 than that in February 2019, while the impact in northern Yangtze River Delta was reduced regarding to the long-distance transport, and the Pearl River Delta was the least. Our study demonstrates the reliability and effectiveness of satellite remote sensing in monitoring the spatial pattern and temporal variation of the synergistic effects between anthropogenic CO₂ and air pollutant synergistic emissions in disturbance of climate or human-induced events.

Key words： anthropogenic CO₂ emission atmospheric pollutants synergistic emissions COVID-19 satellite remote sensing

收稿日期: 2023-11-08

PACS:

X87

基金资助:国家重点研发计划资助项目(2020YFA0607501);江苏省碳达峰碳中和科技创新专项资金(前沿基础)项目(BK20220020);江苏省“333人才”领军型人才团队(BRA2022023);中国气象局生态系统碳源汇重点开放实验室开放基金资助项目(ECSS-CMA202304)

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,从事民航气象工作,主要研究方向为应用气象.发表论文3篇.1755737357@qq.com.

引用本文:

王震山, 李新妹, 肖薇, 蒋宁萱, 柳艺博. 基于卫星遥感的中国人为CO₂与大气污染物排放协同关系[J]. 中国环境科学, 2024, 44(6): 3111-3121. WANG Zhen-shan, LI Xin-mei, XIAO Wei, JIANG Ning-xuan, LIU Yi-bo. Satellite remote sensing detect synergistic relationship between anthropogenic CO₂ and air pollutant emissions in China. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(6): 3111-3121.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I6/3111

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