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基于改进的DOAS方法的混合气体中SO₂和NO₂的度检索研究

Yibiao Yang^1,2, Jianing Wang¹, Zihui Zhang¹

¹A Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun 130033 China.

|June 26, 2023

概括

本研究使用快速里埃转换 (FFT) 来分离二氧化 (NO2) 和二氧化硫 (SO2) 的重叠光谱,以准确监测空气污染物. 这种新方法通过紫外线差光学吸收光谱学 (DOAS) 实现了高精度的混合气体度检测.

科学领域:

大气化学大气化学
频谱学是一种光谱学.
分析化学分析化学

背景情况:

二氧化 (NO2) 和二氧化硫 (SO2) 是重要的空气污染物.
它们的吸收光谱在193-253nm紫外线范围内重叠.
光谱重叠使得使用紫外差光学吸收光谱法 (DOAS) 精确的气体度检索变得复杂.

研究的目的:

开发一种方法来分离叠加的NO2和SO2光谱.
在混合污染物环境中提高气体度检索的准确性.
为了提高紫外线DOAS用于空气质量监测的精度.

主要方法:

为光谱分析选择最佳波长频段.
使用吸收横截面与波长的准周期变化.
应用快速里埃变换 (FFT) 方法来分离叠加的光谱.
基于FFT处理的吸收幅度计算气体度.

主要成果:

成功分离叠加的NO2和SO2吸收光谱.
在混合物中检索SO2 (相对偏差<1.471%) 和NO2 (相对偏差<7.207%) 的气体度时获得了高精度.
通过使用700毫米光路吸收电池,对单一气体和二元混合物证明了适应性.

结论:

基于FT的光谱分离方法为NO2和SO2提供了高检测精度.
这种技术对于开发用于空气污染监测的先进DOAS系统具有价值.
在紫外线光谱学中为高精度检测混合气体 (包括NO) 提供参考.

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