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被动采样法观测研究京津冀区域大气中气态污染物
引用本文:吴丹,王跃思,潘月鹏,辛金元,唐贵谦.被动采样法观测研究京津冀区域大气中气态污染物[J].环境科学,2010,31(12):2844-2851.
作者姓名:吴丹  王跃思  潘月鹏  辛金元  唐贵谦
作者单位:中国科学院大气物理研究所大气边界层物理和大气化学重点实验室,北京,100029
基金项目:中国科学院知识创新工程重大项目(KZCX1-YW-06-01); 国家重点基础研究发展规划(973)项目(2007CB407303)
摘    要:为了对京津冀区域的大气污染物进行观测,揭示污染物浓度和组分的时空分布和变化规律,深入了解区域复合型污染,从2007年12月开始使用造价低、操作简捷的被动采样方法对区域10个站点大气中的SO2、NO2、O3和NH3等主要污染物进行了监测,对被动采样方法的区域适用性进行了比较全面的评估并根据监测结果对污染物的浓度水平和区域分布进行了研究.方法适用性评估表明被动采样方法在污染较严重的京津冀区域能进行长时间采样,采样频率设定为每月1次;平行采样结果显示,SO2、NO2、O3和NH3的变异系数分别为6.4%、7.1%、4.2%和3.9%,方法表现出良好的稳定性;每月1次的被动采样浓度结果与主动采样仪器观测结果月平均值相比具有较好的一致性,SO2、NO2和O3这2种方法监测结果的相关系数达到0.91、0.88和0.93,拟合曲线斜率分别为1.25、0.98和0.93,平均相对标准偏差分别为23.3%、14.9%和8.5%,能基本满足大气采样的要求,NH3的短时监测也表明2种方法具有可比性.评估结果说明被动采样方法是一种可靠的大气污染监测方法,可用于区域污染的监测.2008年夏季京津冀区域10个站点SO2、NO2、O3和NH3的被动采样平均浓度分别(12.3±6.3)×10-9、(13.2±7.0)×10-9、(40.5±9.5)×10-9和(24.0±13.7)×10-9.浓度区域分布显示SO2和NO2在城市站点具有较高浓度,而NH3在农业站点的浓度较高,SO2、NO2和NH3的大气浓度水平明显受局地排放影响,浓度分布较直观的反应了站点的局地源排放;而O3除了背景站兴隆,在北京和天津周边的大小城市,平均浓度都在40×10-9左右,表现出区域协同污染特征.

关 键 词:被动采样法    京津冀环境观测网  气态污染物  SO2    NO2    O3    NH3
收稿时间:1/2/2010 12:00:00 AM
修稿时间:2010/4/13 0:00:00

Application of Passive Sampler to Monitor and Study Atmospheric Trace Gases in Beijing-Tianjin-Hebei Area
WU Dan,WANG Yue-si,PAN Yue-peng,XIN Jin-yuan and TANG Gui-qian.Application of Passive Sampler to Monitor and Study Atmospheric Trace Gases in Beijing-Tianjin-Hebei Area[J].Chinese Journal of Environmental Science,2010,31(12):2844-2851.
Authors:WU Dan  WANG Yue-si  PAN Yue-peng  XIN Jin-yuan and TANG Gui-qian
Institution:State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China. wudan04@gmail.com
Abstract:Applying of passive sampler which is a cheap and simple method, the concentrations of SO2, NO2, O3and NH3 were monitored in ten stations as network in Beijing-Tianjin-Hebei area from Dec. 2007 to investigate the concentration level and change of contaminants as well as the compound pollution in this region. Passive sampler method was fully evaluated to check the applicability in the area and the concentration and spatial distribution of pollutants were studied in this paper. The evaluation results indicate that passive sampler method can be used for long term sampling and the frequency was settled as one month. The coefficients of variation of parallel samplers of SO2, NO2, O3 and NH3 were 6.4%, 7.1%, 4.2% and 3.9% respectively which can represent the good stability of this method. The concentrations monitored by passive sampler had good consistency with the monthly average concentrations calculated from active monitoring. The correlation coefficients of SO2, NO2 and O3 were 0.91, 0.88 and 0.93, slopes of fitted curve were 1.25, 0.98 and 0.93 and average relative standard deviation were 23.3%, 14.9% and 8.5% respectively which indicated that passive sampler can basically meet the atmospheric sampling requirement. Short-term monitoring of NH3 also indicated that results of passive sampler and active monitoring were comparable. Passive sampler is proven to be a reliable atmospheric monitoring method and can be used in regional pollution investigation. In the summer of 2008, average concentrations which were monitored by passive sampler calculated from 10 observation stations of SO2, NO2, O3 and NH3 were (12.3±6.3)×10-9, (13.2±7.0)×10-9, (40.5±9.5)×10-9 and (24.0±13.7)×10-9 respectively in Beijing-Tianjin-Hebei area. The concentrations of SO2 and NO2 were relatively higher in city sites and concentrations of NH3 were higher in agricultural sites. The pollution of SO2, NO2 and NH3 are obviously influenced by local emission. The concentrations of O3 were about 40×10-9in most area around Beijing and Tianjin except background station Xinglong and showed regional pollution characteristic.
Keywords:passive sampler  monitoring network of atmospheric environment in Beijing-Tianjin-Hebei area  trace gases  SO2  NO2  O3  NH3
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