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大气颗粒物稳定同位素组成的研究进展

李亲凯1,2,杨周1,2,黄俊1,2,崔高仰1,2,李晓1*
  

  1. (1中国科学院地球化学研究所环境地球化学国家重点实验室, 贵阳 550081; 2中国科学院大学, 北京 100049)
  • 出版日期:2016-04-10 发布日期:2016-04-10

A review of stable isotopic compositions of atmospheric particulate matter.

LI Qin-kai1,2, YANG Zhou1,2, HUANG Jun1,2, CUI Gao-yang1,2, LI Xiao-dong1*   

  1. (1 State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China)
    .
  • Online:2016-04-10 Published:2016-04-10

摘要: 大气颗粒物成分复杂,容易对环境和人体健康产生较大影响,是雾霾的主要来源。如何对大气颗粒物及其成分的来源、形成和迁移转化过程进行表征一直是大气环境科学研究中的重要课题。近年来,稳定同位素技术被广泛应用到环境污染物的来源示踪研究中。本文综述了大气颗粒物的研究进展,重点围绕大气颗粒物中的轻稳定同位素组成(主要包括碳、氮、硫和氧的稳定同位素),结合大气颗粒物的时空变化特征及特定的同位素数学模型,对大气颗粒物中物质的来源、形成过程和贡献等研究进行分析总结,并对稳定同位素技术在未来大气颗粒物研究中的应用发展趋势进行探讨。

关键词: 抗逆指数, 小麦, 种子活力, 主成分分析

Abstract: Atmospheric particulate matter, regarded as the main source of smog and haze, causes a great impact on the environment and human health due to its complex composition. For scientific research in the atmospheric environment, it is an important issue to characterize the source, formation, migration and transformation processes of atmospheric particulate matter. In recent years, stable isotopic techniques are widely employed in tracing air pollutants. This paper aimed to review the studies related to stable isotopic composition of atmospheric particulate matter, and focused on the light stable isotopic composition of atmospheric particles, including the stable isotopes of carbon, nitrogen, sulfur and oxygen. Combined with spatial and temporal variation of atmospheric particulate matter and some certain isotopic mathematical models, this paper analyzed and summarized the researches on the origin, formation, and contribution of components in atmospheric particulate matter, and discussed the developing trend of applications of stable isotopic techniques in the future study.

Key words: adversity resistance index, wheat (Triticum aestivum), principal component analysis, seed vigor