新冠疫情期间杭州市CO2浓度变化及成因分析
Changes and causes of CO2 concentration in Hangzhou during COVID-19
陈啸鸣 1刘硕 2臧昆鹏 2林溢 2陈圆圆 2胡智伟 1温军 1兰文港 1潘凤梅 1鲁嫣冉 1陈丽涵 1李珊 1郭朋 1方双喜3
作者信息
- 1. 浙江工业大学环境学院,杭州 310014
- 2. 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
- 3. 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
- 折叠
摘要
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.
Abstract
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.
关键词
二氧化碳/新冠疫情/城市监测站/趋势变化/潜在源Key words
carbon dioxide/COVID-19/urban monitoring station/trend variation/potential sources引用本文复制引用
基金项目
国家重点研发计划项目(2020YFA0607502)
国家自然科学基金项目(42275113)
国家自然科学基金项目(42307126)
出版年
2024
NETL
NSTL
万方数据