基于横向塞曼效应的烟气汞在线监测系统

发布时间：2018-02-21 02:29

本文关键词： 大气光学塞曼效应烟气汞原子吸收法干扰气体　出处：《光学学报》2017年05期 　论文类型：期刊论文

【摘要】：为了解决燃煤烟气汞监测困难的问题,搭建了基于横向塞曼效应的烟气汞在线监测系统。当自然汞灯光源处于磁感应强度为1.5T强磁场中时,塞曼效应使得253.65nm共振吸收线分裂为π和σ~±线偏振光。利用汞原子吸收π线偏振光但不吸收σ~±线偏振光的特性,可实现对干扰气体和颗粒物等干扰背景的精确校正,系统的探测下限为66.3ng/m~3。当烟气中二氧化氮气体的体积分数不高于5.09×10-4、二氧化硫的体积分数不高于1.83×10~(-4)时,系统的汞检测不受影响。对燃煤电厂的烟气汞排放进行了连续8d的监测,得到烟气汞的平均质量浓度为8.3μg/m~3,质量浓度最大值为19.4μg/m~3,均低于国家标准的规定值。实验结果表明,烟气汞在线监测系统可对烟气中的干扰气体以及颗粒物等进行精确背景校正,实现烟气汞的准确测量,满足复杂烟气环境下对汞的长期在线监测。
[Abstract]:In order to solve the problem of mercury monitoring in coal-fired flue gas, an on-line monitoring system of mercury in flue gas based on transverse Zeeman effect is built. When the natural mercury lamp light source is in the magnetic induction intensity of 1.5 T strong magnetic field, The Zeeman effect splits the resonant absorption line at 253.65 nm into 蟺 and 蟽 ~ 卤linear polarized light. By using the characteristics of mercury atom absorbing 蟺 linear polarized light but not 蟽 ~ 卤line polarized light, the interference background such as interfering gas and particles can be accurately corrected. The detection limit of the system is 66.3 ng / m ~ 3.When the volume fraction of nitrogen dioxide gas in flue gas is not higher than 5.09 脳 10 ~ (-4) and the volume fraction of sulfur dioxide is not higher than 1.83 脳 10 ~ (-4), the mercury detection of the system will not be affected. The mercury emission from flue gas of coal-fired power plant is monitored for eight consecutive days. The average mass concentration of mercury in flue gas is 8.3 渭 g / m ~ (3) and the maximum value is 19.4 渭 g / m ~ (-3), which is lower than the national standard. The experimental results show that the smoke mercury on-line monitoring system can calibrate the interference gas and particulate matter in flue gas accurately. To realize the accurate measurement of mercury in flue gas and to meet the long-term on-line monitoring of mercury in complex flue gas environment.
【作者单位】：中国科学院安徽光学精密机械研究所环境光学与技术重点实验室;中国科学技术大学研究生院科学岛分院;淮北师范大学物理与电子信息学院;
【基金】：国家自然科学基金(41275037) 安徽省自然科学基金(1408085MKL49) 安徽省高校自然科学研究项目(KJ2013B240)
【分类号】：TP274;X84

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