J4 ›› 2018, Vol. 35 ›› Issue (5): 523-526.

• Basic Optics • Previous Articles     Next Articles

Quantitative analysis of aerosol inorganic ion based on nonlinear least squares algorithm

WEI Xiuli1, ZHANG Lu2, GAO Minguang1   

  1. 1 Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; 2 Anyang Vocational and Technical College, Anyang 455000, China
  • Received:2016-09-06 Revised:2018-01-23 Published:2018-09-28 Online:2018-09-29

Abstract:

In order to adapt to the rapid development of online automatic monitoring technology, nonlinear least squares algorithm was applied to quantitative analysis of multi-component infrared spectral signals. The quantitative information of measured spectrum is obtained by fitting the standard spectrum and measured spectrum of aerosol inorganic ion composition. Results showed that the nonlinear least squares algorithm has some advantages in quantitative analysis of multi-component infrared spectral signals, and the root mean square (RMS) of nitrate was 0.340%。The trend of aerosol inorganic ion concentration in Dongpu Island of Hefei is analyzed using the calculation results, and obtained the temporal trends of sulfate and nitrate. It indicated that the nonlinear least squares method can be used for infrared spectroscopy quantitative analysis of the aerosol ion chemical composition concentration without real-time calibration.

Key words: spectropscopy;nonlinear least squares; infrared spectrum; aerosol ion composition; quantitative analysis