• Spectroscopy and Spectral Analysis
  • Vol. 30, Issue 11, 2897 (2010)
QU Xiao-ying1 and LI Yu-jin2、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: Cite this Article
    QU Xiao-ying, LI Yu-jin. Study on Removing the Lamp Spectrum Structure in Differential Optical Absorption Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2010, 30(11): 2897 Copy Citation Text show less

    Abstract

    Differential optical absorption spectroscopy (DOAS) technique has been used to measure trace gases in the atmosphere by their strongly structured absorption of radiation in the UV and visible spectral range, and nowadays this technique has been widely utilized to measure trace polluted gases in the atmosphere e.g. SO2, NO2, O3, HCHO, etc. However, there exists lamp (xenon lamp or deuteriumlamp) spectrum structure in the measured band (300-700 nm) of the absorption spectra of atmosphere, which badly impacts on precision of retrieving the concentration of trace gases in the atmosphere. People home and abroad generally employ two ways to handle this problem, one is segmenting band retrieving method, another is remedial retrieveing method. In the present paper, a new retrieving method to deal with this trouble is introduced. The authors used moving-window average smoothing method to obtain the slow part of the absorption spectra of atmosphere, then achieved the lamp (xenon lamp in the paper) spectrum structure in the measured band of the absorption spectra of atmosphere. The authors analyzed and retrieved the measrued spctrum of the amosphere, and the result is better than the forenamed ways. Chi-square of residuum is 2.995×10-4, and this method was proved to be able to avoid shortcoming of choosing narrowband and disadvantage of discovering the new component of atmosphere in retrieving the concentration of air pollutants and measuring the air pollutants.
    QU Xiao-ying, LI Yu-jin. Study on Removing the Lamp Spectrum Structure in Differential Optical Absorption Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2010, 30(11): 2897
    Download Citation