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典型海滨和内陆城市PM10中的碳成分初步研究
引用本文:刘碧莲,吴水平,印红玲,王新红.典型海滨和内陆城市PM10中的碳成分初步研究[J].环境化学,2012,31(5):586-592.
作者姓名:刘碧莲  吴水平  印红玲  王新红
作者单位:1. 厦门大学近海海洋环境科学国家重点实验室,厦门,361005
2. 成都信息工程学院资源环境学院,成都,610225
基金项目:国家自然科学基金,环保公益性行业科研专项
摘    要:为了分析碳成分在海滨和内陆城市的浓度现状、季节变化和日变化特征,于2009-11-2—2009-11-4(秋季)、2009-12-21—2009-12-23(冬季)、2010-4-27—2010-4-30(春季)和2010-8-26—2010-8-29(夏季)连续同步密集采集了厦门和成都大气可吸入颗粒物(PM10)样品,并采用IMPROVE热光分析法分析了PM10中有机碳(OC)和元素碳(EC),采用燃烧氧化-非分散红外吸收法测定了样品中的水溶性有机碳(WSOC),采用乙基紫-分光光度法测定样品中阴离子表面活性物质(EVAS)的浓度.结果显示,海滨和内陆城市PM10中碳成分含量季节分布明显,冬春季含量较高,夏秋季含量较低.各季碳成分含量日变化趋势不完全相同.WSOC与OC和EC相关分析结果显示,WSOCs主要来源于光化学反应形成的二次污染物.

关 键 词:可吸入颗粒物(PM10)  碳成分  季节变化  日变化

Carbon components in PM_(10) aerosols in typical inland and coastal cities
LIU Bilian,WU Shuiping,YIN Hongling,WANG Xinhong.Carbon components in PM_(10) aerosols in typical inland and coastal cities[J].Environmental Chemistry,2012,31(5):586-592.
Authors:LIU Bilian  WU Shuiping  YIN Hongling  WANG Xinhong
Institution:1(1.State Key Laboratory of Marine Environmental Science,Xiamen University,Xiamen,361005,China;2.College of Resources and Environment,Chengdu University of Information Technology,Chengdu,610225,China)
Abstract:PM10 samples from two traffic sites in Xiamen and Chengdu were collected and analyzed to investigate the seasonal and diurnal variations of carbon components.The organic carbon(OC),elemental carbon(EC),water-soluble organic carbon(WSOC),and anionic surfactant(EVAS) concentrations were determined using thermal-optical,combustion oxidation-non dispersive infrared absorption,and ethyl violet active substancespectrophotometer method,respectively.A well defined seasonal pattern was found,characterized with higher concentrations in winter and spring but lower levels in summer and autumn.However,the diurnal variations showed different trends in different seasons and different cities.Based on the relationship between WSOC and EC or OC,the main sources of WSOCs in PM10 were proposed to be vehicle exhaust emissions and secondary organic formation.
Keywords:PM10  carbon component  seasonal variation  diurnal variation  
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