title: [Using Fourier transform to calculate gas concentration in DOAS].
abstract: Being an analysis tool of high sensitivity, high resolution, multicomponents, real-time and fast monitoring, the differential optical absorption spectrometry (DOAS) is becoming a new method in atmosphere pollution monitoring. In the DOAS technique, many gases spectra have periodicity evidently, such as those from SO2, NO, NH3 and NO2. Aiming at three kinds of main air-polluted gases, i.e., SO2, NO and NO2 in atmosphere, the DOAS technique is used to monitor them, and Fourier transform is used to analyse the above-mentioned absorption spectra. Under the condition of Hanning Windows, Fourier transforma is used to process various gases spectra which have periodicity. In the process, the value of the characteristic frequency has a linearity relation to the gas concentration. So a new analysis method of DOAS is proposed, which is utilizing the relation between the value of the characteristic frequency and the gas concentration to deduce a linearity formula to calculate the gas concentration. So the value of the characteristic frequency can be used to get the gas concentration. For the gases with evident spectrum periodicity, such as SO2 and NO, this method is good. But for some gases with periodicity not evident, the error in the calculated concentration is beyond the allowable value. So in this method, the important process is frequency separation. It is also the main part in the future study. In a word, this method frees itself from the basic theory in the DOAS technique, cuts down on the process of the concentration calculation and the spectral analysis, and deserves further study.
authors.affiliation: College of Environmental Science and Engineering, South China University of Technology, Guangzhou 510640, China.
authors.forename: Qian-lin
authors.initials: QL
authors.lastname: Liu
authors.forename: Li-shi
authors.initials: LS
authors.lastname: Wang
authors.forename: Xin-jian
authors.initials: XJ
authors.lastname: Huang
authors.forename: Yan-dan
authors.initials: YD
authors.lastname: Wu
authors.forename: Ming-wei
authors.initials: MW
authors.lastname: Xiao