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川南6市空气中SO2和NO2空间分布特征
引用本文:谢永洪,杨坪,向秋实,钱蜀,姚欢,张涛.川南6市空气中SO2和NO2空间分布特征[J].中国环境监测,2014,30(2):138-144.
作者姓名:谢永洪  杨坪  向秋实  钱蜀  姚欢  张涛
作者单位:四川省环境监测中心站, 四川 成都 610041;四川省环境监测中心站, 四川 成都 610041;四川省环境监测中心站, 四川 成都 610041;四川省环境监测中心站, 四川 成都 610041;四川省环境监测中心站, 四川 成都 610041;四川省环境监测中心站, 四川 成都 610041
摘    要:利用简单、方便、不用电源的被动采样技术分别对川南地区6市区域范围内空气中SO2和NO2在雨季和旱季的空间分布特征进行研究。按16 km×16 km的均匀网格布设点位162个,并在雨季于6市各选1个空气自动站布设城区点位采集空气中SO2和NO2。获得的样品经0.3%的双氧水浸提后采用离子色谱法进行分析,经换算后获得空气中SO2和NO2的浓度,了解了其含量水平,绘制了SO2和NO2的空间分布图,掌握了其空间分布特征,并对可能的来源进行了浅析。将被动采样监测结果与自动站监测结果进行相关分析,两者高度线性相关,NO2和SO2线性相关系数分别为0.901 3和0.874 5,均大于r0.05(4)=0.811 4。

关 键 词:被动采样技术  SO2  NO2  空间分布特征
收稿时间:2012/10/9 0:00:00
修稿时间:2013/4/26 0:00:00

Study of NO2 and SO2 Spatial Distribution Characteristics in the Air of Six-City District of Southern Sichuan
XIE Yong-hong,YANG Ping,XIANG Qiu-shi,QIAN Shu,YAO Huan and ZHANG Tao.Study of NO2 and SO2 Spatial Distribution Characteristics in the Air of Six-City District of Southern Sichuan[J].Environmental Monitoring in China,2014,30(2):138-144.
Authors:XIE Yong-hong  YANG Ping  XIANG Qiu-shi  QIAN Shu  YAO Huan and ZHANG Tao
Institution:Sichuan Province Environmental Monitoring Central Station, Chengdu 610041, China;Sichuan Province Environmental Monitoring Central Station, Chengdu 610041, China;Sichuan Province Environmental Monitoring Central Station, Chengdu 610041, China;Sichuan Province Environmental Monitoring Central Station, Chengdu 610041, China;Sichuan Province Environmental Monitoring Central Station, Chengdu 610041, China;Sichuan Province Environmental Monitoring Central Station, Chengdu 610041, China
Abstract:A simple, handy and power free technology of passive sampling was employed for the study of SO2 and NO2 spatial distribution characteristics in the months of dry- and wet-season in the six-city district of Southern Sichuan. 162 sites of ambient air were placed by 16km by 16km gird and 6 sites of city air placed at air automatic monitoring station in September. The samples were analyzed by ion chromatography after being extracted with 0.3% H2O2. The concentrations of SO2 and NO2 in air were obtained after calculation. The concentration levels of SO2 and NO2 of the investigation area was acquainted and the spatial distribution characteristics were obtained. Then the possible sources were discussed, and the linear correlation analysis was discussed, the result showed that the two groups of detective data of passive sampling and automatic monitoring had well correlation, the Linear correlation coefficients were more than r0.05(4)(0.811 4) with 0.901 3 for NO2 and 0.874 5 for SO2.
Keywords:passive sampling technology  sulfur dioxide  nitrogen dioxide  spatial distribution characteristics
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