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北京及周边地区2013年1—3月PM2.5变化特征
引用本文:靳军莉,颜鹏,马志强,林伟立,刘宁薇,马建中,张晓春,贾小芳.北京及周边地区2013年1—3月PM2.5变化特征[J].应用气象学报,2014,25(6):690-700.
作者姓名:靳军莉  颜鹏  马志强  林伟立  刘宁薇  马建中  张晓春  贾小芳
作者单位:1.中国气象科学研究院,北京 100081
基金项目:国家重点基础研究发展计划(2011CB403402)
摘    要:2013年1—3月北京及周边地区雾、霾高发,气候特征异于常年。利用2013年1—3月北京及周边地区6个地面观测站观测资料,研究PM2.5和黑碳 (BC) 的质量浓度、区域分布特征及气象要素的影响情况。结果表明:北京及周边地区PM2.5污染呈区域性高值、污染局地积累以及由南向北输送的特征。北京上甸子站在雾、霾与清洁期间BC与PM2.5质量浓度的比值分别为7.1%和10.3%,雾、霾期间低于清洁期间;而河北固城站在雾、霾与清洁期间BC与PM2.5质量浓度的比值分别为17.5%和11.9%,雾、霾期间明显高于清洁期间。二者相反的比值特征反映在清洁的下游地区雾、霾过程中二次生成的气溶胶所占比例较污染的上游地区偏高。

关 键 词:雾和霾    PM2.5质量浓度    黑碳    区域变化特征
收稿时间:2014-04-16
修稿时间:9/5/2014 12:00:00 AM

Characteristics of PM2.5 in Beijing and Surrounding Areas from January to March in 2013
Jin Junli,Yan Peng,Ma Zhiqiang,Lin Weili,Liu Ningwei,Ma Jianzhong,Zhang Xiaochun and Jia Xiaofang.Characteristics of PM2.5 in Beijing and Surrounding Areas from January to March in 2013[J].Quarterly Journal of Applied Meteorology,2014,25(6):690-700.
Authors:Jin Junli  Yan Peng  Ma Zhiqiang  Lin Weili  Liu Ningwei  Ma Jianzhong  Zhang Xiaochun and Jia Xiaofang
Affiliation:1.Chinese Academy of Meteorological Sciences, Beijing 1000812.University of Chinese Academy of Sciences, Beijing 1000493.Meteorological Observation Center of CMA, Beijing 1000814.Institute of Urban Meteorology, CMA, Beijing 1000895.Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, Beijing 1000896.Institute of Atmospheric Environment, CMA, Shenyang 110016
Abstract:Frequent and serious haze and fog events happen from January to March in 2013 in Beijing and surrounding areas under special climate conditions, which are different from those in last decades. 8 haze and fog events during this period are defined in accordance with the meteorological definition. The observational PM2.5, black carbon (BC) concentration and the meteorological data at 8 stations in Beijing, Tianjin, Hebei and Shanxi are used to analyze the fine particle matter and BC pollution level and regional characteristics. The meteorological-parameter variation characteristic and its possible influence on transportation and dilution of atmosphere pollutants are investigated as well.Extraordinarily high daily average PM2.5 concentrations (e.g., 579 μg·m-3 at Shijiazhuang Station) are found, much higher than former researches. Investigations indicate that even though the diurnal variation of PM2.5 concentration varies from station to station, there is a regional high concentration level of PM2.5 in Beijing and surrounding areas for average, which also has characteristic of local accumulation of air pollutants. Analysis on average surface wind speed and atmospheric vertical stability from NCEP reanalysis data in Beijing and surrounding areas from January to March since 2006 to 2013 are conducted, revealing remarkable feature of low surface wind speed and stable structure in lower part of atmosphere in 2013. During the development of fog and haze events, pollution transportation from south to north are observed. High values in south-west and north-east sectors in PM2.5 concentration wind rose correspond to atmospheric-pollutant transportation channel around Beijing.Apart from PM2.5 concentration, BC variation characteristic and its proportion in PM2.5 at Shangdianzi Global Atmosphere Watch Regional Station (SDZ) of Beijing and Gucheng Station (GCH, a rural representative site) of Hebei are studied to enhance the understanding of distinguishing feature of aerosol pollution and its composition in this region. Sharing the similar escalation trend during haze and fog events at both stations, the BC concentration at SDZ is lower, roughly one third of it at GCH. The ratio of BC and PM2.5 mass concentration is of 7.1% during haze and fog events, and 10.3% during the clean days at SDZ. The ratio of BC and PM2.5 mass concentration during haze and fog events versus clean days are of 17.5% and 11.9% at GCH. The contrast values between haze and fog events versus clean days in different stations indicate a higher secondary aerosol proportion during haze and fog events in the down-wind northern area when compared to that in the polluted up-wind southern area in and around Beijing.
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