摘要
本文将大气痕量气体浓度监测的DOAS技术应用于烟气浓度测量,在此基础上提出了基于DOAS思想的烟气浓度反演算法。采用将粉尘和气体分离的方法,首次在DOAS法测量气体浓度实验中加入了粉尘颗粒,对此方法的理论依据进行了简单的推导。实验测量了常温常压下SO2和NO2气体吸收截面,并对处于流动状态烟气中的SO2和NO2气体浓度进行了反演。研究结果表明,该算法能够在短光程(0.5m)下以较快的速度(<2s)和较高的准确度同时检测出烟气中多种气体浓度。
The DOAS technique, which is originally applied to the trace gas concentration measurement, is introduced to the concentration measurement of flue gas from fixed pollution source. The inversion algorithm of flue gas concentration is also put forward based on DOAS. The dust particles are added to the system of flue gas concentration measurement for the first time. With dust particles and gases separated, the DOAS method is used and the theoretical basis is simply deduced. The experimental study of gas concentration inversion is performed using the absorption cross sections of sulfur dioxide and nitrogen dioxide derived form the experiment under flow state at normal temperature and pressure. Research results show the algorithm can be utilized to quickly （ 〈 2 s） and precisely measure flue gases concentrations at short light path length（0.5 m） simultaneously.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2008年第2期244-249,共6页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(50576010)
教育部博士点基金(20040286038)资助项目
