Observation of Atmospheric Water Vapor and Its Stable Isotopes at the Seaside Based on Fourier Transform Infrared Spectroscopy

Peng Wu; Changgong Shan; Wei Wang; Yu Xie; Qianqian Zhu; Bin Liang; Xiangyu Zeng; Xuan Peng; Cheng Liu

doi:10.3788/CJL231432

Chinese Journal of Lasers, Volume. 51, Issue 5, 0511005(2024)

Observation of Atmospheric Water Vapor and Its Stable Isotopes at the Seaside Based on Fourier Transform Infrared Spectroscopy

Peng Wu^1,2, Changgong Shan^2,5,6,7、*, Wei Wang², Yu Xie⁴, Qianqian Zhu^1,2, Bin Liang^1,2, Xiangyu Zeng^1,2, Xuan Peng^1,2, and Cheng Liu^1,3

Author Affiliations

¹University of Science and Technology of China, Hefei 230031, Anhui, China

²Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230026, Anhui, China

³Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230026, Anhui, China

⁴Department of Automation, Hefei University, Hefei 230601, Anhui, China

⁵Key Laboratory of Middle Atmosphere and Global Environment Observation, Beijing 100084, China

⁶Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510000, Guangdong, China

⁷State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China

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Figures & Tables(13)

Fig. 1. FTIR spectrometer and its observation principle. (a) Photo of the portable FTIR spectrometer; (b) schematic of observation principle

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Fig. 2. Typical spectral fitting and residuals of $H_{2} O$ in three spectral windows. (a) Spectral window near 6076.9 $c m^{- 1}$ ; (b) spectral window near 6125.9 $c m^{- 1}$ ; (c) spectral window near 6177.6 $c m^{- 1}$

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Fig. 3. Typical spectral fitting and residuals of HDO in three spectral windows. (a) Spectral window near 6330.0 cm^-1; (b) spectral window near 6377.4 cm^-1; (c) spectral window near 6458.6 cm^-1

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Fig. 4. Time series during observation of $X_{a i r}$

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Fig. 5. Daily average values of $X_{H_{2} O}$ and $X_{H D O}$ measured with portable and high resolution FTIR spectrometers. (a) $X_{H_{2} O}$ ; (b) $X_{H D O}$

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Fig. 6. Time series of atmospheric H₂O

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Fig. 7. Relationship between ln（ $X_{H_{2} O}$ ）and surface temperature

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Fig. 8. Time series of δD

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Fig. 9. Correlation diagram between ln(δD×1000+1) and ln（ $X_{H_{2} O}$ ）

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Fig. 10. Keeling plot of observed data on March 3

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Fig. 11. $δ D_{E T}$ of water vapor evapotranspiration characteristics measured during the experiment

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Table 1. Spectral windows for fitting H₂O and HDO
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Table 1. Spectral windows for fitting H₂O and HDO
Gas Central wavenumber / $c m^{- 1}$ Width / $c m^{- 1}$ Interfering gases
$H_{2} O$ 6076.9 3.9 CH₄ HDO CO₂
6125.9 3.6 CH₄ HDO CO₂
6177.6 1.4 CH₄ HDO CO₂
HDO 6330.0 45.5 H₂O CO₂
6377.4 50.2 H₂O CO₂
6458.6 39.6 H₂O CO₂

Table 2. Variation of ME and PE with distance
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Table 2. Variation of ME and PE with distance
Distance /cm ME PE /rad
255 0.978 0.0049
354 0.979 0.0051
460 0.974 0.0042
550 0.965 0.0034
648 0.981 0.0047
Mean 0.975 0.0045
Standard deviation 0.00635 6.8044×10^-4

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Peng Wu, Changgong Shan, Wei Wang, Yu Xie, Qianqian Zhu, Bin Liang, Xiangyu Zeng, Xuan Peng, Cheng Liu. Observation of Atmospheric Water Vapor and Its Stable Isotopes at the Seaside Based on Fourier Transform Infrared Spectroscopy[J]. Chinese Journal of Lasers, 2024, 51(5): 0511005

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