利用差分吸收激光雷达探测二氧化碳浓度廓线

Detection of CO2 Concentration Profile Using Differential Absorption LiDAR

    摘要
  • 摘要: 针对大气中二氧化碳（CO2）浓度在对流层分布变化明显的特点，采用激光雷达主动观测方式获取低空CO2廓线浓度。利用自主研制的基于染料差分激光技术的CO2探测差分吸收激光雷达，在中国安徽省淮南市进行了长期观测，受制于白天的低信噪比，只进行了夜间观测，并通过开发先进的信号处理算法获取了高空间、高时间分辨率的CO2廓线浓度以及低空平均浓度，测量结果能够在一定程度上反映江淮平原地区CO2浓度垂直分布的变化规律。得到了冬夏夜间典型的低对流层CO2垂直分布特点：夜间CO2浓度持续增加，且夏季夜间CO2浓度增幅大于冬季，一年中夏季的CO2浓度最低（403.2×10－6），冬季最高（412.7×10－6）。目前该设备已运至西藏羊八井地区（海拔4 300 m）进行持续观测，成功获得了关键的CO2廓线信息，可用于平原和高原CO2垂直分布特征的对比分析，并为研究青藏高原对温室气体的传输效应提供重要的观测资料。

     

    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.

     

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