Detection of CO<sub>2</sub> Concentration Profile Using Differential Absorption LiDAR

MA Xin; SHI Tianqi

doi:10.13203/j.whugis20190362

Volume 47 Issue 3

Mar. 2022

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Geomatics and Information Science of Wuhan University > 2022 > 47(3): 412-418. > DOI: 10.13203/j.whugis20190362

MA Xin, SHI Tianqi. Detection of CO₂ Concentration Profile Using Differential Absorption LiDAR[J]. Geomatics and Information Science of Wuhan University, 2022, 47(3): 412-418. DOI: 10.13203/j.whugis20190362

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Detection of CO₂ Concentration Profile Using Differential Absorption LiDAR

MA Xin^1,,
SHI Tianqi^1, ,

1.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Funds:

The National Natural Science Foundation of China 42171464

The National Natural Science Foundation of China 41801261

The National Natural Science Foundation of China 41827801

the Open Research Fund of National Earth Observation Data Center DAOP2021005

the Key Research and Development Program of Hubei Province 2021BCA216

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Author Bio:
MA Xin, PhD, associate researcher, specializes in remote sensing of greenhouse gases. E-mail: maxinwhu@whu.edu.cn
Corresponding author:
SHI Tianqi, PhD candidate. E-mail: shitian@whu.edu.cn
Received Date: September 26, 2019
Published Date: March 04, 2022

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Abstract

Abstract

Objectives Carbon dioxide(CO₂) is the main component of greenhouse gases. Facing the urgent need of carbon peak and carbon neutralization, differential absorption light detection and ranging(LiDAR) is an ideal remote sensing method for measuring CO₂. In view of the characteristics that the obvious distribution change of atmospheric CO₂ in the troposphere, the low-altitude CO₂ concentration profile is obtained by differential absorption LiDAR.
Methods Using the self-developed CO₂ detection differential absorption LiDAR based on dye differential frequency laser technology, long-term observations were carried out in Huainan City, Anhui Province. Subject to low signal-to-noise ratio in the daytime, only nighttime observations were conducted. And through the development of advanced signal processing methods, high-space, high-time resolution CO₂ concentration profile and low-level average concentration were obtained.
Results The measurement results can representatively reflect the variation of the vertical distribution of CO₂ concentration in the plains of the middle and lower reaches of the Yangtze River. The typical CO₂ vertical distribution in winter and summer nights in low tropospheric is concluded: The CO₂ concentration continues to increase during nighttime. And the increase of CO₂ concentration in summer night is greater than that in winter. The lowest CO₂ concentration occurred in summer and the highest one occurred in winter.
Conclusions Ground based differential absorption LiDAR can obtain the spatial distribution of CO₂, which can provide key data in the quantitative study of carbon source and carbon sink. At present, the equipment has been transported to the Yangbajing area of Tibet (4 300 m above sea level) for continuous observation, and the key CO₂ profile information has been successfully obtained. It can be used for comparative analysis of the vertical distribution characteristics of CO₂ in plains and plateaus, and provides important observational data for studying the transmission effect of the Qinghai-Tibet Plateau on greenhouse gases.
- CO₂ concentration profile,
- dye differential frequency laser,
- differential absorption,
- LiDAR,
- vertical distribution

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Detection of CO₂ Concentration Profile Using Differential Absorption LiDAR