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利用差分吸收光谱系统对O3,SO2和NO2的监测分析
引用本文:王东东,朱 彬,王 静.利用差分吸收光谱系统对O3,SO2和NO2的监测分析[J].环境科学研究,2009,22(6):650-655.
作者姓名:王东东  朱 彬  王 静
作者单位:南京信息工程大学,中国气象局大气物理与大气环境重点开放实验室,江苏 南京 210044
基金项目:公益性行业(气象)专项基金,江苏省自然科学基金 
摘    要:结合我国对空气质量自动监测系统质量保证的要求及差分吸收光谱(DOAS)技术自身的技术特点,重点讨论了对南京江北地区的大气污染物的DOAS监测数据的质量控制, 并对2007年12月—2008年8月ρ(O3),ρ(SO2)和ρ(NO2)的日、季节变化特征进行了分析. 结果表明:ρ(O3),ρ(SO2)和ρ(NO2)小时均值的频率分布峰值分别出现在30~40,20~30和30~40 μg/m3;三者超过《环境空气质量标准》(GB3095—1996)一、二级标准的频率分别为4.37%和1.02%(O3),21.78%和0.89%(SO2),5.65%和0 (NO2);ρ(O3)季节变化十分明显,春季最高;ρ(SO2)和ρ(NO2)的日变化与局地排放源、大气扩散能力和人类活动密切相关;ρ(O3)和ρ(NO2)日变化呈负相关. 

关 键 词:差分吸收光谱技术    质量控制    空气污染
收稿时间:2008/10/10 0:00:00
修稿时间:2008/11/13 0:00:00

Observational Analysis of O3, SO2 and NO2 with DOAS System
WANG Dong-dong,ZHU Bin and WANG Jing.Observational Analysis of O3, SO2 and NO2 with DOAS System[J].Research of Environmental Sciences,2009,22(6):650-655.
Authors:WANG Dong-dong  ZHU Bin and WANG Jing
Institution:Key Laboratory for Atmospheric Physics & Environment of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China
Abstract:Based of the requirements of the Chinese national air quality automatic monitoring system and the DOAS technique, quality assurance and data processing were conducted for this study. The characteristics of diurnal and seasonal variations of mass concentration of O3, SO2 and NO2 during December 2007 to August 2008 wereanalyzed. The observational hourly frequency-concentration spectrums showed that the frequency peaks were in the range of 30-40 μg/m3 for O3, 20-30 μg/m3 forSO2 and 30-40 μg/m3 for NO2. The data exceeding the national primary (secondary) air quality standards were 4.37% (1.02%) for O3, 21.78% (0.89%) for SO2, and 5.65% (0) for NO2. The ozone displays distinct seasonal variation, with the maximum in spring. The photochemical ozone diurnal variation had significant negative correlation with NO2. The diurnal variations of SO2 and NO2 are closely related to local anthropogenic emissions, meteorological conditions for air pollutant dispersion and human activities. 
Keywords:DOAS  data quality assurance  air pollution  
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