首页|新冠疫情期间杭州市CO2浓度变化及成因分析

新冠疫情期间杭州市CO2浓度变化及成因分析

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以长三角地区典型城市监测站(杭州)为研究对象,对2020年9月~2022年12月的大气CO2数据进行分析,并进行疫情前后对比。结果表明,受新冠疫情影响,杭州城区2021年CO2年平均浓度明显降低,与2019年相比下降了12。7×10-6(2。8%),并且在2022年实现"零增长"。疫情后的游客等人为活动减少是导致杭州城区夏秋季(5~10 月)CO2 浓度大幅降低的关键因素。与疫情前相比,疫情后工作日和周末 CO2 浓度没有明显差异,并且在工作日出行高峰时段 CO2 浓度没有出现明显上升,这表明疫情后,人为活动和交通排放对杭州大气 CO2 浓度的贡献大幅降低。72h 后向轨迹的聚类分析显示,杭州城区CO2浓度不仅受到本地人为排放的影响,同时也受到人口密集、工业发达地区的污染气团传输的影响。
Changes and causes of CO2 concentration in Hangzhou during COVID-19
CO2 data from September 2020 to December 2022 were analyzed and compared before and after the COVID-19 epidemic at a typical urban monitoring station(Hangzhou)in the Yangtze River Delta.The results showed that due to the impact of COVID-19,the average CO2 concentration at Hangzhou in 2021 decreased significantly,by 12.7×10-6(2.8%)compared with that in 2019,and achieved"zero growth"in 2022.The decrease of tourists and other population activities after the epidemic was the key factor that led to the significant decrease of CO2 concentration in summer and autumn(May to October).Compared with the pre-epidemic period,there was no significant difference in CO2 concentrations between weekdays and weekends after the epidemic,and no significant increase in CO2 concentration during peak travel hours on weekdays,indicating that the contribution of anthropogenic activities and traffic emissions to Hangzhou's CO2 concentrations decreased significantly after the epidemic.Cluster analysis of 72 hour back trajectory revealed that the CO2 concentration at Hangzhou was not only affected by local anthropogenic emissions,but also affected by air mass transport from densely populated and industrially developed areas.

carbon dioxideCOVID-19urban monitoring stationtrend variationpotential sources

陈啸鸣、刘硕、臧昆鹏、林溢、陈圆圆、胡智伟、温军、兰文港、潘凤梅、鲁嫣冉、陈丽涵、李珊、郭朋、方双喜

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浙江工业大学环境学院,杭州 310014

浙江工业大学,浙江碳中和创新研究院,浙江省碳减排与碳监测技术国际科技合作基地,杭州 310014

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,南京 210044

二氧化碳 新冠疫情 城市监测站 趋势变化 潜在源

国家重点研发计划项目国家自然科学基金项目国家自然科学基金项目

2020YFA06075024227511342307126

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(7)
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