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颗粒物有机源示踪物的筛选与应用综述
引用本文:李源遽,吴爱华,童梦雪,栾胜基,李鸷. 颗粒物有机源示踪物的筛选与应用综述[J]. 环境科学, 2021, 42(2): 1013-1022
作者姓名:李源遽  吴爱华  童梦雪  栾胜基  李鸷
作者单位:北京大学深圳研究院,深圳 518057;北京大学环境科学与工程学院,环境模拟与污染控制国家重点联合实验室,北京 100871;北京大学深圳研究院,深圳 518057
基金项目:国家重点研发计划项目(2017YFC0211501);环境模拟与污染控制国家重点联合实验室开放课题项目(19K02ESPCP)
摘    要:大气颗粒物中的不少有机组分具有较强的源指向性,是识别颗粒物来源并评估各污染源对城市大气环境影响的重要工具之一.前人因此针对不同污染源颗粒物有机组成进行了广泛研究,并筛选出大量具有源指纹意义的有机示踪物.本文对前人的相关工作进行了简要整理,重点关注了生物质燃烧、餐饮源、化石燃料燃烧和交通源排放颗粒物有机组成特征,总结了这...

关 键 词:大气环境  颗粒物  有机示踪物  源排放  源解析
收稿时间:2020-06-16
修稿时间:2020-08-18

Review of Screening and Applications of Organic Tracers in Fine Particulate Matter
LI Yuan-ju,WU Ai-hu,TONG Meng-xue,LUAN Sheng-ji,LI Zhi. Review of Screening and Applications of Organic Tracers in Fine Particulate Matter[J]. Chinese Journal of Environmental Science, 2021, 42(2): 1013-1022
Authors:LI Yuan-ju  WU Ai-hu  TONG Meng-xue  LUAN Sheng-ji  LI Zhi
Affiliation:Shenzhen Institute, Peking University, Shenzhen 518057, China;State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Abstract:Specific organic compounds within atmospheric particulate matter are indicators of specific pollution sources and, as such, can be used to differentiate inputs from various air pollution emissions sources in urban areas. Therefore, many studies have been conducted to detect organic particulate matter and screen the associated organic tracers that provide provenance information. This review provides a brief summary of the emission characteristics of biomass burning, cooking, fossil fuel combustion, and traffic. The particular marker compounds that carry provenance information for these four emission sources are discussed and diagnostic ratios are calculated to discuss the use of organic tracers in source apportionment. The shortcomings and new directions of using source tracer screening are also discussed.
Keywords:atmospheric environment  particulate matter  organic tracers  source emission  source apportionment
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