3.9 Article

Automated alternating sampling of PM10 and PM2.5 with an online XRF spectrometer

期刊

ATMOSPHERIC ENVIRONMENT-X
卷 5, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.aeaoa.2020.100065

关键词

Aerosol sampling; X-ray fluorescence (XRF) spectrometry; Inlet; Online analysis; Particulate matter; Dust

资金

  1. Swiss National Science Foundation (SNSF) [200021_162448, BSSGI0_155846]
  2. Sino-Swiss Science and Technology Cooperation (SSSTC) project [IZLCZ2_169986 HAZECHINA]
  3. National Science Foundation of China [NSFC 21661132005]
  4. ERA-PLANET, trans-national project SMURBS under the EU Horizon 2020 Framework Programme [689443]
  5. Swiss National Science Foundation (SNSF grant) [200021_132467]
  6. ClearfLo project (NERC grant) [NE/H00324X/1]
  7. European Community's Seventh Framework Programme (FP/2007-2013) [312284]
  8. Swiss National Science Foundation (SNF) [200021_132467, 200021_162448] Funding Source: Swiss National Science Foundation (SNF)

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Measuring the chemical composition of ambient particulate matter in different size classes is a relevant gain in information, which can be used for improved source apportionment. The design and implementation of a switching system between a PM10 and a PM2.5 inlet for an Xact 625i ambient metals monitor is presented. First applications in the field reveal its practicability and applicability to determine the PM2.5/PM10 ratio. For example, in Beijing crustal elements such as Si, Ca, or Ti occur mainly in the coarse fraction (ratio < 0.2), whereas combustion related elements such as Se, Pb or As are found mainly in the fine fraction (ratio > 0.8). Simulations of the uncertainty caused by alternating sampling of the two size classes show that the increase of uncertainty is within acceptable limits, depending on the characteristics of the time series. The gain in information outweighs the increase of uncertainty in most cases.

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