首页  |  本刊简介  |  编委会  |  投稿须知  |  订阅与联系  |  微信  |  出版道德声明  |  Ei收录本刊数据  |  封面
厦门湾空气质量对新冠疫情管控的响应
摘要点击 2262  全文点击 685  投稿时间:2021-03-01  修订日期:2021-03-18
查看HTML全文 查看全文  查看/发表评论  下载PDF阅读器
中文关键词  厦门湾城市群  新冠疫情  空气质量  污染减排  封锁
英文关键词  Xiamen Bay city cluster  COVID-19  air quality  pollution reduction  lockdown
作者单位E-mail
徐超 厦门大学环境与生态学院, 厦门 361102
福建省海陆界面生态环境重点实验室, 厦门 361102 
xuchichi0610@163.com 
吴水平 厦门大学环境与生态学院, 厦门 361102
福建省海陆界面生态环境重点实验室, 厦门 361102 
wsp@xmu.edu.cn 
刘怡靖 福建省环境科学研究院, 福州 350013  
钟雪芬 福建省环境科学研究院, 福州 350013  
中文摘要
      通过对厦门湾城市群在COVID-19封锁前后6周内(2020-01-11~2020-02-21)的空气污染物浓度变化进行分析,以确定影响本区域空气质量的主要人为污染源.在春节假期与封锁叠加期间,SO2、NO2、CO、PM10和PM2.5浓度相比于节前1周的下降幅度分别为6%~22%、53%~70%、34%~48%、47%~64%和53%~60%,而O3浓度变化没有一致的规律性;与2018~2019年历史同期相比,PM2.5、PM10、CO和NO2的下降幅度更大,但SO2的下降幅度相当;在复工复产后,NO2的反弹幅度最大(38%~138%),远高于SO2(2%~42%),显示交通源相对于固定源更易受到疫情管控的影响;春节后风速增大和降水增多也为SO2、NO2和PM的下降提供了正向影响.利用反距离插值权重法,得到管控前后厦门湾城市群不同污染物的空间分布变化特征,显示NO2浓度高值区的变化与交通源高度相关,CO和SO2空间分布特征保持稳定,复工后PM2.5和PM10在人口与路网密集区变化不明显,而在工地相对集中区域有明显上升,O3空间分布的低值区与NO2的高值区具有较好的空间匹配性,显示NO2对O3滴定作用明显,可为进一步O3污染减排措施的制定提供参考.
英文摘要
      Air pollutant concentrations in the Xiamen Bay cities during the period before and after COVID-19 lockdown(from January 11 to February 21, 2020) were studied to determine the influence of human activities on air quality in this region. During the Chinese Spring Festival holiday and the lockdown period, the concentrations of SO2, NO2, CO, PM10, and PM2.5 decreased by 6%-22%, 53%-70%, 34%-48%, 47%-64%, and 53%-60%, respectively. However, the changes in O3 concentrations were not consistent with the variations of human activities. The reduction rates for PM2.5, PM10, CO, and NO2 during the Spring Festival were greater than in previous years(2018 and 2019), but the reduction rates for SO2 were comparable. The concentrations of NO2 increased sharply(38%-138%), and much higher those of SO2(2%-42%), after the resumption of socioeconomic activities, indicating the importance of traffic reductions due to the lockdown measures on NO2. Higher wind speeds and rainfall after the Spring Festival were also favorable for the decline of SO2, NO2, and PM. The spatio-temporal distributions of the six criterial pollutants in the Xiamen Bay city cluster were obtained based on the Inverse Distance Weight method. The variability in regions with high NO2 concentrations was strongly linked to traffic emissions, while spatial patterns for CO and SO2 changed little over the six-week study period. The concentrations of PM2.5 and PM10 increased notably in the region, linked to more construction activity, but changed comparatively little in regions with dense populations and traffic networks. O3 remained relatively stable but low-value regions corresponded to those regions with high NO2 concentrations, indicating the significant titration effect of NO2 on O3. These results provide valuable information that can inform O3 pollution reduction measures.

您是第51714641位访客
主办单位:中国科学院生态环境研究中心 单位地址:北京市海淀区双清路18号
电话:010-62941102 邮编:100085 E-mail: hjkx@rcees.ac.cn
本系统由北京勤云科技发展有限公司设计  京ICP备05002858号-2