Line-by-line trace gas absorption model and its application for NDIR gas detection technology

Jing Fang; WenQing Liu; TianShu Zhang; WeiWei Feng

doi:10.1117/12.783329

27 November 2007 Line-by-line trace gas absorption model and its application for NDIR gas detection technology

Jing Fang, WenQing Liu, TianShu Zhang, WeiWei Feng

Proceedings Volume 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 67232S (2007) https://doi.org/10.1117/12.783329
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

Abstract

An accurate line-by-line trace gas absorption model is present in the paper. It is for mid-infrared band and can be used for the study and application of detecting trace gas (or pollution gas) in atmosphere. It is based on HITRAN molecular spectroscopic database. Spectral line shape, far wings, temperature correction and resolution are calculated. Infrared absorption characters of various gases in atmosphere can be simulated by the model. The algorithm details are described and the results calculated by the model are compared with that measured by Fourier transform infrared spectrometer. As an instance, model is applied for detector design of NDIR technology and the relationship between signal intensity of detectors and concentration of CO₂/CO is simulated by the model. Available concentration range of detector is given by calculating results of the model.

Citation Download Citation

Jing Fang, WenQing Liu, TianShu Zhang, and WeiWei Feng "Line-by-line trace gas absorption model and its application for NDIR gas detection technology", Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67232S (27 November 2007); https://doi.org/10.1117/12.783329

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KEYWORDS

Carbon monoxide

Absorption

Sensors

Thermal modeling

Atmospheric modeling

Signal detection

Gas sensors

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