首页|基于卫星遥感的中国人为CO2与大气污染物排放协同关系

基于卫星遥感的中国人为CO2与大气污染物排放协同关系

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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.
Satellite remote sensing detect synergistic relationship between anthropogenic CO2 and air pollutant emissions in China
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.

anthropogenic CO2 emissionatmospheric pollutantssynergistic emissionsCOVID-19satellite remote sensing

王震山、李新妹、肖薇、蒋宁萱、柳艺博

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南京信息工程大学,中国气象局生态系统碳源汇重点开放实验室,江苏南京 210044

南京信息工程大学,气象灾害预报预警与评估协同创新中心,江苏南京 210044

民航西南空管局气象中心,四川成都 610202

福建省福州市气象局,福建福州 350008

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人为CO2排放 大气污染 协同关系 新冠疫情 卫星遥感

国家重点研发计划江苏省碳达峰碳中和科技创新专项(前沿基础)项目江苏省"333人才"领军型人才团队项目中国气象局生态系统碳源汇重点开放实验室开放基金

2020YFA0607501BK20220020BRA2022023ECSS-CMA202304

2024

中国环境科学
中国环境科学学会

中国环境科学

CSTPCDCHSSCD北大核心
影响因子：2.174
ISSN：1000-6923
年,卷(期)：2024.44(6)
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