科研之友
微信
新浪微博
Facebook
分享链接
摘要
Severe PM2.5 pollution has become a great challenge to atmospheric pollution control in China. Most of previous aerosol source apportionment studies in China focused only on part of PM2.5 (e.g., organic matter in composition or PM1 in size) or lacked source contributions identified with necessary tempospatial variations, which makes the results not convincible enough for policy making. In this study, five various sites were selected for simultaneous PM2.5 observation in an industrial city in the Pearl River Delta (PRD) of South China during all four seasons of 2014. A positive matrix factorization (PMF) model was applied to the datasets of measured chemical species to perform source apportionment with the results as: (1) The annual mean PM2.5 concentration was 53 mu g/m(3), with vehicle emissions, secondary sulfate, biomass combustion, and secondary organic aerosol (SOA) identified as the major sources, contributing 21%, 20%, 11%, and 10% to PM2.5, respectively. Ship emissions, fugitive dust, secondary nitrate, industrial emissions, and coal burning each contributed 5%-8%. (2) The tempo-spatial variations of sources reveal that secondary sulfate, biomass combustion, SOA, and ship emissions had obvious regional pollution characteristics; however, vehicle emissions, secondary nitrate, coal burning, fugitive dust, and industrial emissions showed obvious local emission characteristics. (3) The exceeding standard days (PM2.5 > 75 mu g/m(3)) appeared with secondary nitrate, SOA, and biomass burning increasing mostly in concentration, indicating that the relevant primary sources or precursor emissions should be controlled more strictly. This study highlights the importance of SOA in PM2.5 pollution in China, which has been scarcely quantified for bulk PM2.5 in the literature.
- 出版日期2017-11
- 单位北京大学
