Abstract
DOAS of atmospheric trace gases concentration can realize an accurate, rapid and online measurement. But, for a short light path, low concentration of the flue, and low signal-to-noise ratio, the traditional DOAS error of measurement algorithm is larger. This paper put forward based on Bayesian neural network algorithm of DOAS improvement, in order to improve the optical thickness of NO2 low caused by low SNR. Through the experiment verified, improved DOAS of short optical path algorithm of low concentration of gas concentration inversion accuracy, than the traditional inversion algorithm has greatly improved.
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