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ORIGINAL RESEARCH article
Front. Phys.
Sec. Optics and Photonics
Volume 13 - 2025 |
doi: 10.3389/fphy.2025.1553252
This article is part of the Research Topic Acquisition and Application of Multimodal Sensing Information - Volume II View all 8 articles
Field Measurement of Atmospheric CO₂ Column Abundance Based on Portable Laser Heterodyne TechnologyRadiometer
Provisionally accepted- Shanxi University, Taiyuan, China
This study presents a portable near-infrared laser heterodyne radiometer specifically designed for measuring the column abundance of atmospheric carbon dioxide (CO₂) in the Taiyuan area. The instrument modulates the solar radiation using a fiber optic switch and amplifies the solar radiation through a semiconductor optical amplifier. The local oscillator laser is progressively scanned at the strong absorption characteristic of 1572.02 nm. Two beams of light are mixed on the photodetector to produce a heterodyne signal.The instrument modulates solar radiation signals using fiber switches, amplifies them via semiconductor optical amplifiers, and mixes them with a local oscillator laser scanned step-by-step at the strong absorption feature of 1572.02 nm. To enhance performance, the radio frequency (RF) circuit system of the radiometer was thoroughly optimized, including adjustments to the filter bandwidth and the integration time of the lock-in amplifier. These improvements significantly enhanced the spectral signal-to-noise ratio (SNR) to a high level of 130 and achieved a spectral resolution of 0.0083 cm⁻¹. The laser heterodyne signals were demodulated using a lock-in amplifier. Furthermore, a forward model based on line-by-line integration and an iterative fitting algorithm were employed to achieve high-precision CO₂ column abundance calculations. Outdoor field measurements conducted at Shanxi University validated the feasibility and practicality of this approach, laying a solid foundation for its broader application.
Keywords: Laser heterodyne, Carbon Dioxide, column abundance, Portable, greenhouse gas
Received: 30 Dec 2024; Accepted: 21 Jan 2025.
Copyright: © 2025 Wang, Zhang, Wang, Wang, Cui, Dong and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lei Dong, Shanxi University, Taiyuan, China
Hongpeng Wu, Shanxi University, Taiyuan, China
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