Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2010, Vol. 21 ›› Issue (4): 197-203 doi: 10.13538/j.1001-8042/nst.21.197-203

• SYNCHROTRON TECHNOLOGY AND APPLICATIONS • Previous Articles     Next Articles

Characterization and source identification of fine particulate matter in the atmosphere of downtown Shanghai using ?-SXRF and ICP-MS

Akram Waheed1,* ZHU Yan1 TAN Mingguang1 BAO Liangman1 ZHANG Guilin1 LI Yan1 Atsuo Iida2 LI Xiaolin1,*   

  1. 1Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China 2Photon Factory, High Energy Accelerator Research Organization, 1-1 O-ho, Tsukuba, Ibaraki 305, Japan
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Akram Waheed, ZHU Yan, TAN Mingguang, BAO Liangman, ZHANG Guilin, LI Yan, Atsuo Iida, LI Xiaolin. Characterization and source identification of fine particulate matter in the atmosphere of downtown Shanghai using ?-SXRF and ICP-MS.Nuclear Science and Techniques, 2010, 21(4): 197-203     doi: 10.13538/j.1001-8042/nst.21.197-203

Abstract:

To investigate the characteristic and sources of the fine particulate matter (PM2.5), and the major sources affecting particulate air pollution in Shanghai, China, the individual aerosol particles were analyzed using the synchrotron radiation micro-beam X-ray fluorescence analysis (?-SXRF), and the PM2.5 multi-elements were determined by the inductively coupled plasma mass spectrometer (ICP-MS). The results show that the mass concentration and chemical elements have seasonal variation, and the enrichment factors show that the chemical elements in the inhalable particles could come from the earth crust and anthropogenic pollution. The extent of metal pollution was assessed by comparing the measured concentrations with those reported in the literature. Nine categories of PM2.5 pollution sources identified at the center of Shanghai show that the vehicle exhaust, emission of metallurgic industry and coal combustion are important.

Key words: PM2.5, Enrichment factor, SXRF, ICP-MS