南京雾、霾期间含碳颗粒物理化特征变化分析

发布时间：2018-01-07 21:35

本文关键词：南京雾、霾期间含碳颗粒物理化特征变化分析　出处：《中国环境科学》2017年06期 　论文类型：期刊论文

【摘要】：利用单颗粒飞行时间质谱仪(SPAMS)对南京2014年8~9月内清洁、霾及雾时段内含碳颗粒物的理化特征进行分析,归类得到EC-fresh、EC-SN、NaK-EC、OC、ECOC、ECOC-S、ECOC-SN和Ammonium等8大类含碳颗粒物.雾和霾时段内,OC占比出现明显降低,而EC-SN和NaK-EC的占比约为清洁时段内的2倍.清洁时段内含碳颗粒物总占比的减小率雾霾.雾时段内各含碳颗粒物中硝酸组分出现富集,有更多小粒径段的OC生成.EC-SN和NaK-EC的颗粒物酸度(R_(va))表现为清洁时段霾雾,OC和ECOC-SN的Rva值则在清洁时段达到最大.此次分析得到的含碳气溶胶理化特征有助于对南京不同天气条件下大气碳气溶胶的来源及其在大气中的传输与演变过程的理解.
[Abstract]:The physicochemical characteristics of carbonaceous particles in Nanjing from 2014 to September were analyzed by single particle time-of-flight mass spectrometer (SPAMS), and the EC-fresh was classified. EC-SNU NaK-ECC OCU ECOC-SU ECOC-SN and Ammonium, etc., in the fog and haze periods. The percentage of OC decreased obviously. The proportion of EC-SN and NaK-EC was about twice as high as that of the cleaning period. The reduction rate of the total fraction of the carbon particles in the cleaning period was haze. The nitric acid components in the carbon particles were enriched during the fog period. The acidity of OC, EC-SN and NaK-EC, which had more small particle size segments, appeared as haze during the cleaning period. The Rva values of OC and ECOC-SN reached the maximum during the cleaning period. The physicochemical characteristics of carbon-containing aerosols obtained by this analysis are helpful to the source of atmospheric carbon aerosols and their presence in the atmosphere under different weather conditions in Nanjing. The transmission and evolution of the process of understanding.
【作者单位】：南京信息工程大学气象灾害预报预警与评估协同创新中心;南京信息工程大学中国气象局气溶胶-云-降水重点实验室;
【基金】：国家自然科学基金资助项目(91644203,91644224) 江苏高校优势学科建设工程资助项目(PAPD)
【分类号】：X513
【正文快照】： 南京210044)霾是大气中颗粒物浓度增加导致的低能见度天气现象[1].研究表明,霾发生时含碳气溶胶颗粒物数目可以达到总颗粒物的83.7%,是重要的气溶胶组分[2].雾可以提供液相反应介质,利于各类化学反应的发生[3].受到雾的影响,大部分含碳颗粒物都混合有更多的二次组分[4].同时雾

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