4.7 Article

Chemical nature of PM2.5 and PM10 in Xi'an, China: Insights into primary emissions and secondary particle formation

期刊

ENVIRONMENTAL POLLUTION
卷 240, 期 -, 页码 155-166

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2018.04.111

关键词

PM2.5; Chemical species; Primary sulfate; Residential coal combustion

资金

  1. National Key R&D Program of China [2016YFC0208500, 2016YFC0208501]
  2. National Natural Science Foundation of China [21407081]
  3. Tianjin Science and Technology Foundation [16YFZCSF00260]
  4. Fundamental Research Funds for the Central Universities of China
  5. China Scholarship Council

向作者/读者索取更多资源

In Xi'an, a city that frequently experiences serious PM pollution in northern China, 1476 PM10 and 1464 PM2.5 valid daily filter samples were collected at six sites from December 2014 to November 2015 and analyzed for 29 species. The annual mean PM10 and PM2.5 concentrations were 149.4 +/- 93.1, 108.0 +/- 70.9 mu g/m(3), respectively. Organic carbon (OC) is the predominant PM2.5 component while crustal material predominated in PM10. Sulfate concentrations, which was the largest component in Xi'an PM in previous studies, were lower than nitrate. Winter sulfate, OC, and elemental carbon (EC) have decreased since 2003, while nitrate remained constant in recent years and the ratio of NO3-/SO42- increased from 0.4 in 2006 to 1.3 in 2014. This result suggests that the motor vehicle contribution to PM has increased relative to coal-fired power plant emissions over the past decade. The mass fractions of crustal material, sulfate, and EC in PM2.5 decreased as the PM2.5 concentrations increased from clean days (<50 mu g/m(3)) to the highest values, while nitrate significantly increased. Despite forming through secondary reactions, the high concentrations of SOC and SOi(4)(2-) in winter are attributed to primary emissions and particularly to residential heating and cooking with coal. Primary SOC and SOi(4)(2-) accounted for 33% and 42% of their total PM2.5 concentrations in winter, respectively. Therefore, control measures applied to these primary sources can substantially improve air quality. (C) 2018 Published by Elsevier Ltd.

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