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[Source Apportionment and Mixing State of Single Particles in the Nanjing Jiangbei New Area].
Yu, Xing-Na; Shi, Zheng; Ma, Jia; Li, Mei; Gong, Ke-Jian.
Afiliação
  • Yu XN; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Shi Z; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China.
  • Ma J; Guangzhou Hexin Instrument Co., Ltd., Guangzhou 510530, China.
  • Li M; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China.
  • Gong KJ; Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Guangzhou 510632, China.
Huan Jing Ke Xue ; 40(4): 1521-1528, 2019 Apr 08.
Article em Zh | MEDLINE | ID: mdl-31087891
ABSTRACT
To characterize the ambient particles in the Nanjing Jiangbei New Area, a single particle aerosol mass spectrometer (SPAMS) was deployed from December 1 to 31, 2015. A total of 7.478 million particles were analyzed with both positive and negative ion spectra. The air quality of Nanjing during the measurement period was poor, and the percentage of pollution days was 49.2%. The correlation (R) between the SPAMS particle number and PM2.5 concentration was 0.83, showing that the particle number could reflect the trend in the variation of atmospheric pollution. The dominant pollutant source at the monitoring site was coal combustion, followed by vehicle emissions and industrial emissions, with a contribution ratio of 63.5%. The increase in the PM2.5 mass concentration was accompanied by a high proportion of coal combustion or vehicle emissions. A high mixing state between EC, ECOC, and OC and NO2-, NO3-, and SO4- was observed for the sources of biomass burning, dust, vehicle emissions, coal combustion, and industrial emissions.
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Texto completo: 1 Base de dados: MEDLINE Idioma: Zh Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: Zh Ano de publicação: 2019 Tipo de documento: Article