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2020~2021年新冠疫情期间南京市PM2.5化学组成与来源变化特征
引用本文:华楠,尚玥,谢鸣捷.2020~2021年新冠疫情期间南京市PM2.5化学组成与来源变化特征[J].环境科学,2023,44(2):593-601.
作者姓名:华楠  尚玥  谢鸣捷
作者单位:南京信息工程大学环境科学与工程学院, 大气环境与装备技术协同创新中心, 江苏省大气环境监测与污染控制高技术研究重点实验室, 南京 210044;商丘市气象局, 商丘 476000
基金项目:国家自然科学基金项目(42177211);
摘    要:为了解新冠疫情期间极端减排情景下南京市PM2.5的化学组成和来源变化,对南京市2020年1~3月和2021年6~8月两次疫情管控前后PM2.5化学组分(水溶性无机离子、碳质组分和无机元素)的小时观测结果进行分析.结果表明,NO-3浓度在两次疫情管控期间比管控前分别下降52.9%和43.0%,高于NH+4(46.4%和31.6%)和SO42-(33.8%和16.5%).由于观测点位于交通干道附近,元素碳(EC)的下降幅度(35.4%和20.6%)高于有机碳(OC; 11.1%和16.2%).结合以上丰量组分特征比值的变化,推断疫情管控对交通排放的影响比工业活动更显著.各主要丰量组分浓度在疫情管控前后的连续变化过程表明,来自本地交通排放的NOx对PM2.5中NO-3的形成有重要贡献,并且是短期内本地PM2.5...

关 键 词:新冠疫情  PM2.5  化学组成  交通排放  源解析
收稿时间:2022/4/9 0:00:00
修稿时间:2022/5/14 0:00:00

Variations in PM2.5 Composition and Sources During 2020-2021 COVID-19 Epidemic Periods in Nanjing
HUA Nan,SHANG Yue,XIE Ming-jie.Variations in PM2.5 Composition and Sources During 2020-2021 COVID-19 Epidemic Periods in Nanjing[J].Chinese Journal of Environmental Science,2023,44(2):593-601.
Authors:HUA Nan  SHANG Yue  XIE Ming-jie
Institution:Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science & Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;Shangqiu Meteorological Bureau, Shangqiu 476000, China
Abstract:To understand the changes in chemical composition and sources of PM2.5 under the extreme reduction background during the COVID-19 epidemic periods in Nanjing, hourly observation results of PM2.5 components (water-soluble inorganic ions, carbonaceous components, and inorganic elements) of two epidemic events from January to March 2020 and June to August 2021 were analyzed. In comparison to that during pre-epidemic periods, the concentration of NO3- during the two epidemic control periods decreased by 52.9% and 43.0%, respectively, which was larger than the decreases in NH4+(46.4% and 31.6%) and SO42-(33.8% and 16.5%). Since the observation site was located close to a main road, the decrease in elemental carbon (EC, 35.4% and 20.6%) was higher than that in organic carbon (OC, 11.1% and 16.2%). In reference to the variations in the characteristic ratios of the bulk components mentioned above, the epidemic control showed a more substantial influence on traffic emissions than industrial activities. The concentration time series of PM2.5 major components over the epidemic periods indicated that NOx from local traffic emissions had substantial contributions to the formation of NO3-, which led to local short-term PM2.5 pollution. In addition, the positive matrix factorization (PMF) model was used to analyze the hourly observation data of PM2.5 components. The seven identified factors were linked with metallurgy, firework and firecracker combustions, road traffic emissions, coal combustion, dust resuspension, secondary sulfate, and secondary nitrate. Because the nitrate was unstable under high temperature, the contribution of secondary nitrate to PM2.5 during the epidemic control period of 2021 (summer, 21.2%) was much lower than that during the epidemic control period of 2020 (winter, 60.6%); however, the formation of secondary components always dominated the contribution of PM2.5 sources. Therefore, emissions of NOx and SO2 should be further controlled to continuously reduce ambient PM2.5 concentrations in Chinese cities.
Keywords:COVID-19  PM2  5  chemical composition  traffic emission  source apportionment
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