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<p>Comprehensive PM<sub>2.5</sub> source profiles were established for 34 sub-types of sources, with markers and diagnostic ratios updated. OC, EC, SO<sub>4</sub><sup>2</sup><sup>−</sup>, NO<sub>3</sub><sup>−</sup>, Si, Al, Mg, Ca, Ti, and Fe were dominant species. The maize straw, wheat straw, honeycomb coal burning, firework burning, barbeque and cooking are expected to be separated by receptor modeling. EC, Ca, Fe, and Mg can trace nearly all sources. New markers were identified, like Ti, V and Ni for coal-fired power plants. Ternary diagrams were proposed to identify K<sup>+</sup>-Na<sup>+</sup>-Ca<sup>2+</sup> sources, and Fe existence form. OC/EC and (SNA + OC)/soot-EC ratio for indicating primary OC and mixing state of soot particles were assessed. Fe, Mn and Cu solubilities varied with magnitude differences according to their ratios to SO<sub>4</sub><sup>2</sup><sup>−</sup>. For updating OC, EC, SO<sub>4</sub><sup>2</sup><sup>−</sup>, NO<sub>3</sub><sup>−</sup>, P and Cl<sup>−</sup> emission inventories, anthropogenic dust should be included. The results are helpful for improving knowledge on aerosol chemical transformation and biogeochemical cycle.</p>

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A comprehensive sub-type source profile of fine particle in China: chemical composition, markers, diagnostic ratios and implication for atmospheric chemistry

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月1日

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  • Shaofei Kong,
  • Juan Cao,
  • Xujing Qin,
  • Tingting Wang,
  • Xuan Xiang,
  • Jian Wu,
  • Shihua Qi,
  • Yingying Yan,
  • Yan Yin,
  • Wei Liu,
  • Feng Ding

摘要

Comprehensive PM2.5 source profiles were established for 34 sub-types of sources, with markers and diagnostic ratios updated. OC, EC, SO42−, NO3−, Si, Al, Mg, Ca, Ti, and Fe were dominant species. The maize straw, wheat straw, honeycomb coal burning, firework burning, barbeque and cooking are expected to be separated by receptor modeling. EC, Ca, Fe, and Mg can trace nearly all sources. New markers were identified, like Ti, V and Ni for coal-fired power plants. Ternary diagrams were proposed to identify K+-Na+-Ca2+ sources, and Fe existence form. OC/EC and (SNA + OC)/soot-EC ratio for indicating primary OC and mixing state of soot particles were assessed. Fe, Mn and Cu solubilities varied with magnitude differences according to their ratios to SO42−. For updating OC, EC, SO42−, NO3−, P and Cl− emission inventories, anthropogenic dust should be included. The results are helpful for improving knowledge on aerosol chemical transformation and biogeochemical cycle.