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.
关键词
人为CO2排放/大气污染/协同关系/新冠疫情/卫星遥感
Key words
anthropogenic CO2 emission/atmospheric pollutants/synergistic emissions/COVID-19/satellite remote sensing
万方数据