Characterization of particle number size distribution and new particle formation in Southern China

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• 作者：Xiaofeng Huang¹ ; Chuan Wang¹ ; Jianfei Peng² ; Lingyan He¹ ; ^{hely@pku.edu.cn} ; Liming Cao¹ ; Qiao Zhu¹ ; Jie Cui¹ ; Zhijun Wu² ; Min Hu²
• 关键词：Scanning mobility particle sizer (SMPS) ; Particle number size distribution (PND) ; New particle formation (NPF) ; Air pollution ; Southern China
• 刊名：Journal of Environmental Sciences
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：51
• 期：Complete
• 页码：342-351
• 全文大小：1739 K
• 卷排序：51

文摘

Knowledge of particle number size distribution (PND) and new particle formation (NPF) events in Southern China is essential for mitigation strategies related to submicron particles and their effects on regional air quality, haze, and human health. In this study, seven field measurement campaigns were conducted from December 2013 to May 2015 using a scanning mobility particle sizer (SMPS) at four sites in Southern China, including three urban sites and one background site. Particles were measured in the size range of 15–615 nm, and the median particle number concentrations (PNCs) were found to vary in the range of 0.3 × 104–2.2 × 104 cm− 3 at the urban sites and were approximately 0.2 × 104 cm− 3 at the background site. The peak diameters at the different sites varied largely from 22 to 102 nm. The PNCs in the Aitken mode (25–100 nm) at the urban sites were up to 10 times higher than they were at the background site, indicating large primary emissions from traffic at the urban sites. The diurnal variations of PNCs were significantly influenced by both rush hour traffic at the urban sites and NPF events. The frequencies of NPF events at the different sites were 0%–30%, with the highest frequency occurring at an urban site during autumn. With higher SO2 concentrations and higher ambient temperatures being necessary, NPF at the urban site was found to be more influenced by atmospheric oxidizing capability, while NPF at the background site was limited by the condensation sink. This study provides a unique dataset of particle number and size information in various environments in Southern China, which can help understand the sources, formation, and the climate forcing of aerosols in this quickly developing region, as well as help constrain and validate NPF modeling.