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作 者:陈啸鸣 刘硕 臧昆鹏 林溢 陈圆圆[2] 胡智伟 温军 兰文港 潘凤梅 鲁嫣冉 陈丽涵 李珊 郭朋 方双喜 CHEN Xiao-ming;LIU Shuo;ZANG Kun-peng;LIN Yi;CHEN Yuan-yuan;HU Zhi-wei;WEN Jun;LAN Wen-gang;PAN Feng-mei;LU Yan-ran;CHEN Li-han;LI Shan;GUO Peng;FANG Shuang-xi(Department of Environment,Zhejiang University of Technology,Hangzhou 310014,China;Zhejiang Carbon Neutral Innovation Institute&Zhejiang International Cooperation Base for Science and Technology on Carbon Emission Reduction and Monitoring,Zhejiang University of Technology,Hangzhou 310014,China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information&Scientific Technology,Nanjing 210044,China)
机构地区:[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]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
出 处:《中国环境科学》2024年第7期3563-3572,共10页China Environmental Science
基 金:国家重点研发计划项目(2020YFA0607502);国家自然科学基金项目(42275113,42307126)。
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CO_(2)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CO_(2)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)CO_(2)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CO_(2)浓度没有明显差异,并且在工作日出行高峰时段CO_(2)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CO_(2)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CO_(2)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.CO_(2) 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 CO_(2) 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 CO_(2) concentration in summer and autumn(May to October).Compared with the pre-epidemic period,there was no significant difference in CO_(2) concentrations between weekdays and weekends after the epidemic,and no significant increase in CO_(2) concentration during peak travel hours on weekdays,indicating that the contribution of anthropogenic activities and traffic emissions to Hangzhou’s CO_(2) concentrations decreased significantly after the epidemic.Cluster analysis of 72 hour back trajectory revealed that the CO_(2) 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
分 类 号:X511[环境科学与工程—环境工程]
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