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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/amt-2020-218
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-218
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Jul 2020

15 Jul 2020

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A revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Simultaneous detection of atmospheric HONO and NO2 utilizing an IBBCEAS system based on an iterative algorithm

Ke Tang1,2, Min Qin1, Wu Fang1, Jun Duan1, Fanhao Meng1,2, Kaidi Ye1,2, Helu Zhang1,2, Pinhua Xie1,2,3, Yabai He1, Wenbin Xu4, Jianguo Liu1, and Wenqing Liu1 Ke Tang et al.
  • 1Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
  • 2University of Science and Technology of China, Hefei, 230027, China
  • 3CAS Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
  • 4Science and Technology on Optical Radiation Laboratory, Beijing 100854, China

Abstract. We present an improved incoherent broadband cavity-enhanced absorption spectroscopy (IBBCEAS) system based on iterative retrieval algorithm for simultaneous detection of atmospheric nitrous acid (HONO) and nitrogen dioxide (NO2). The conventional IBBCEAS retrieval algorithm depends on the absolute change of light intensity, which requires high stability of light source and stable transmission of light intensity of all optical components. The new algorithm has an iterative module to obtain the effective absorption optical path length, and then the concentrations of HONO and NO2 are determined by differential optical absorption spectroscopy (DOAS) retrieval, so it is insensitive to the fluctuation of absolute light intensity. The robustness of the system is verified by simulating the influence of the relative change of light intensity on the spectral retrieval results. The effect of nitrogen purging in front of the cavity mirrors on shortening the actual cavity length was measured and corrected by using NO2 gas samples. Allan deviation analysis was conducted to determine the system stability, indicating the detection limits (2δ) of HONO and NO2 are 0.08 ppbv and 0.14 ppbv at an integration time of 60 s, respectively. Furthermore, Kalman filtering was used to improve the detection precision of the system. The detection sensitivity of the system at an integration time of 3 s can be improved by 4.5-fold with applying Kalman filtering, which is equivalent to the detection sensitivity at an integration time of 60 s without applying Kalman filtering. The atmospheric HONO and NO2 were observed by the IBBCEAS system based on iterative algorithm, and compared with those measured by conventional IBBCEAS.

Ke Tang et al.

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Ke Tang et al.

Ke Tang et al.

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Latest update: 27 Oct 2020
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Short summary
We present an improved instrument for simultaneous detection of atmospheric nitrous acid (HONO) and nitrogen dioxide (NO2). The robustness of the system is verified by simulating the influence of the relative change of light intensity on the measurement results. The instrument's capability of making fast high-sensitivity measurements of HONO and NO2 is of great significance for understanding the source of HONO and studying its role in atmospheric chemistry.
We present an improved instrument for simultaneous detection of atmospheric nitrous acid (HONO)...
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