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文章摘要
单颗粒本地排放源谱在上海新冠感染防控期间的监测应用
Monitoring Application of Single Particle Spectrum from Local Emission Source During COVID 19 Infection in Shanghai
  
DOI:
中文关键词: 细颗粒物  本地排放源谱  单颗粒气溶胶飞行时间质谱法  新冠感染防控  上海
英文关键词: PM25  Local emission source spectrum  Single particle aerosol time of flight mass spectrometry  COVID 19 infection prevention and control  Shanghai
基金项目:国家自然科学基金资助项目(41827804);上海市“科技创新行动计划”自然科学基金资助项目(20ZR1449700)
作者单位
杨帆 上海市浦东新区环境监测站 
杨奕苧 上海市浦东新区环境监测站 
徐建平 上海市浦东新区环境监测站 
李梅 上海市浦东新区环境监测站 
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中文摘要:
      采用单颗粒飞行时间质谱分析上海市2022年3月—5月新冠感染防控期间大气颗粒物来源,重点关注移动排放源的时空分布规律,并对防控期间、春节期间和防控前正常生产生活期间的监测结果做比对分析。结果表明,防控期间细颗粒物质量浓度较春节期间和正常生产生活时段下降了23.3%;受防控减排措施影响明显的移动源、扬尘、燃煤和工业工艺源排放的细颗粒物质量浓度相较另外两个时段都有不同程度的降低。
英文摘要:
      Single particle time-of-flight mass spectrometry was used to analyze the sources of atmospheric particulate matter during COVID-19 infection in Shanghai from March to May 2022, focusing on the spatio-temporal distribution of mobile emission sources, and comparing the monitoring results during the periods of prevention and control of COVID-19, the Spring Festival and normal production and daily life before the infection. The results showed that PM2.5 concentration decreased by 23.3% during the prevention and control period compared with that during the Spring Festival and normal production and daily life. The mass concentration of PM2.5 from mobile sources, dust, coal burning and industrial sources, which significantly affected by prevention and emission reduction measures, decreased to different degrees compared with the other two periods.
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