• Acta Optica Sinica
  • Vol. 41, Issue 18, 1812004 (2021)
Hongcheng Ji1、2, Pinhua Xie1、2、3、4、*, Jin Xu1、**, Ang Li1, Zhaokun Hu1, Yeyuan Huang1, Xin Tian4, Xiaomei Li1, Bo Ren2, and Hongmei Ren1
Author Affiliations
  • 1Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2University of Science and Technology of China, Hefei, Anhui 230026, China
  • 3Institute of Urban Environment, CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, China
  • 4Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China
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    DOI: 10.3788/AOS202141.1812004 Cite this Article Set citation alerts
    Hongcheng Ji, Pinhua Xie, Jin Xu, Ang Li, Zhaokun Hu, Yeyuan Huang, Xin Tian, Xiaomei Li, Bo Ren, Hongmei Ren. Measuring Method of Atmospheric Carbon Dioxide Based on Tunable Fabry-Perot Interferometer[J]. Acta Optica Sinica, 2021, 41(18): 1812004 Copy Citation Text show less
    Schematic diagram of optical path in FPI
    Fig. 1. Schematic diagram of optical path in FPI
    Schematic diagram of filtering light by FPI
    Fig. 2. Schematic diagram of filtering light by FPI
    Interference peaks at different central wavelengths of FPI under different driving voltages
    Fig. 3. Interference peaks at different central wavelengths of FPI under different driving voltages
    Operation flow chart of system
    Fig. 4. Operation flow chart of system
    Measured lamp spectrum and absorption spectra. (a) Measured lamp spectrum and absorption spectrum; (b) absorption spectrum with slight fluctuation
    Fig. 5. Measured lamp spectrum and absorption spectra. (a) Measured lamp spectrum and absorption spectrum; (b) absorption spectrum with slight fluctuation
    Measured dark spectrum
    Fig. 6. Measured dark spectrum
    τCO2 obtained after processing the measured absorption spectrum
    Fig. 7. τCO2 obtained after processing the measured absorption spectrum
    Structural diagram of gas measuring instrument based on tunable FPI sensor
    Fig. 8. Structural diagram of gas measuring instrument based on tunable FPI sensor
    Lamp spectra at different modulation frequencies
    Fig. 9. Lamp spectra at different modulation frequencies
    Dark spectra at modulation frequencies of 10 Hz and 20 Hz
    Fig. 10. Dark spectra at modulation frequencies of 10 Hz and 20 Hz
    Non-sequential simulation of optical path by ZEMAX. (a) Magnification of detector end; (b) magnification of lens end
    Fig. 11. Non-sequential simulation of optical path by ZEMAX. (a) Magnification of detector end; (b) magnification of lens end
    Principle block diagram of system
    Fig. 12. Principle block diagram of system
    Physical diagram of system
    Fig. 13. Physical diagram of system
    Inversion examples of spectra for CO2 with concentration of 9.9×10-5. (a) Absorption spectrum and fitted spectrum; (b) residual spectrum after fitting
    Fig. 14. Inversion examples of spectra for CO2 with concentration of 9.9×10-5. (a) Absorption spectrum and fitted spectrum; (b) residual spectrum after fitting
    Changes of lamp spectra before and after introduction of nitrogen
    Fig. 15. Changes of lamp spectra before and after introduction of nitrogen
    Time series of concentrations of CO2
    Fig. 16. Time series of concentrations of CO2
    Frequency distributions of concentrations of CO2
    Fig. 17. Frequency distributions of concentrations of CO2
    Linear fitting between measured value after iterative inversion and nominal value
    Fig. 18. Linear fitting between measured value after iterative inversion and nominal value
    Concentration distributions of CO2 at different dates in 2021 measured by outfield experiment
    Fig. 19. Concentration distributions of CO2 at different dates in 2021 measured by outfield experiment
    Concentration distributions of CO2 at different times in 2021
    Fig. 20. Concentration distributions of CO2 at different times in 2021
    Center wavelength /nm3100331535303745396041754400
    FWHM /nm59727271707173
    Table 1. FWHMs of interference peaks corresponding to center wavelengthes of FPI
    Volume fraction /10-5Channel range
    3--1305--13010--13015--13020--13030--13040--13070--130
    5.248.8348.4948.7448.7547.9847.3847.1946.81
    9.9100.67100.67100.0299.7999.8198.2998.7597.11
    Table 2. Average concentration values of different inversion channels under different concentrations of CO2
    Volume fraction /10-5Channel range
    3--1305--13010--13015--13020--13030--13040--13070--130
    5.21.1351.1281.1211.1321.1431.1981.2911.181
    9.91.0701.0731.0451.0561.0751.1151.2041.107
    Table 3. Fitting errors of different inversion channels under different concentrations of CO2
    Nominal value /10-42.043.083.554.084.49
    Measured value /10-41.99312.77243.02833.33213.6812
    Table 4. Nominal values and measured values by direct inversion of concentration of CO2
    Hongcheng Ji, Pinhua Xie, Jin Xu, Ang Li, Zhaokun Hu, Yeyuan Huang, Xin Tian, Xiaomei Li, Bo Ren, Hongmei Ren. Measuring Method of Atmospheric Carbon Dioxide Based on Tunable Fabry-Perot Interferometer[J]. Acta Optica Sinica, 2021, 41(18): 1812004
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