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南昌市PM_(2.5)中稳定碳同位素组成特征
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  • 英文篇名:Stable carbon isotope composition characteristics in PM_(2.5) of Nanchang City
  • 作者:曾梓琪 ; 肖红伟 ; 黄启伟 ; 肖浩
  • 英文作者:ZENG Zi-qi;XIAO Hong-wei;HUANG Qi-wei;XIAO Hao;Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution,East China University of Technology;School of Water Resources and Environmental Engineering,East China University of Technology;
  • 关键词:总碳 ; 碳同位素 ; PM_(2.5) ; 机动车尾气 ; 煤燃烧
  • 英文关键词:total carbon;;carbon isotope;;PM_(2.5);;motor vehicle exhaust;;coal combustion
  • 中文刊名:DQHX
  • 英文刊名:Geochimica
  • 机构:东华理工大学江西省大气污染成因与控制重点实验室;东华理工大学水资源与环境工程学院;
  • 出版日期:2019-05-26
  • 出版单位:地球化学
  • 年:2019
  • 期:v.48
  • 基金:国家自然科学基金(41663003)
  • 语种:中文;
  • 页:DQHX201903008
  • 页数:8
  • CN:03
  • ISSN:44-1398/P
  • 分类号:93-100
摘要
近几年,PM_(2.5)浓度上升导致灰霾事件频繁发生,已经引起了广泛的关注。碳组分是PM_(2.5)中的重要组分,被认为是灰霾形成和转化的重要因素,因此,研究PM_(2.5)中含碳组分的来源及其化学过程具有重要的意义。本研究于2016年12月至2017年8月期间在南昌地区共采集105个PM_(2.5)样品,分析了PM_(2.5)样品中总碳(TC)浓度及其碳同位素(δ~(13)C)。结果表明,采样期间TC的年平均浓度为(12.1±2.1)μg/m~3,总体上呈现冬季高、夏季低的变化趋势,可能是受不同季节气象因素和来源变化的影响。δ~(13)C的年平均值为(-26.1±0.2)‰,总体上呈现冬季高、春季低的变化趋势,可能是受不同来源的影响。利用贝叶斯模型计算南昌地区PM_(2.5)中TC主要来源于C_3植物燃烧和机动车尾气,年源贡献分别为49.3%和28.7%;其次是煤燃烧和C_4植物燃烧,年源贡献分别为17.7%和4.2%。春季δ~(13)C值偏低是由于C_3植物燃烧贡献相对较高,而冬季δ~(13)C值偏高则是煤燃烧贡献增加。
        The frequent haze events caused by the rise of PM_(2.5) concentrations in the recent years have attracted extensive attention.As an important component of PM_(2.5),carbon is considered as an important factor for haze formation and transformation.Therefore,studying the source and chemical process of the carbon component in PM_(2.5) is significant.In this study,PM_(2.5) samples were collected in Nanchang from December 2016 to August 2017The total carbon(TC)concentration and carbon isotope(δ~(13)C)in the PM_(2.5) samples were then analyzed.The results showed that the TC concentrations in PM_(2.5) and the annual average ofδ~(13)C were generally significantly higher in winter than those in summer.During the sampling period,the annual average concentration of TC was(12.1±2.1)μg/m~3,which may be influenced by meteorological factors and source changes in different seasons Meanwhile,the annual average ofδ~(13)C was(-26.1±0.2)‰,which may be affected by different sources.Through the Bayesian model,we calculated that TC in PM_(2.5) in the Nanchang area mainly came from C_3 plant combustion and motor vehicle exhaust,with annual contributions of 49.3%and 28.7%,respectively.Coal burning and C_4 plant burning also contributed 17.7%and 4.2%,respectively.The results illustrated that the lowδ~(13)C value in spring was caused by the relatively high contribution of C_3 plant combustion,while the higherδ~(13)C in winter was caused by the increased contribution of coal combustion.
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