Remote Sensing (Oct 2022)

Local-Scale Horizontal CO<sub>2</sub> Flux Estimation Incorporating Differential Absorption Lidar and Coherent Doppler Wind Lidar

  • Bin Yue,
  • Saifen Yu,
  • Manyi Li,
  • Tianwen Wei,
  • Jinlong Yuan,
  • Zhen Zhang,
  • Jingjing Dong,
  • Yue Jiang,
  • Yuanjian Yang,
  • Zhiqiu Gao,
  • Haiyun Xia

DOI
https://doi.org/10.3390/rs14205150
Journal volume & issue
Vol. 14, no. 20
p. 5150

Abstract

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A micro-pulse lidar system incorporating differential absorption lidar (DIAL) and coherent Doppler wind lidar (CDWL) is proposed and demonstrated. Due to the high signal-to-noise ratio (SNR) of the superconducting nanowire single-photon detector (SNSPD), the DIAL channel achieves high sensitivity in CO2 measurement. Meanwhile, the CDWL channel is used to obtain the horizontal wind field. In the process of the optimization and calibration of the DIAL receiver, specifically, mode scrambling and temperature control of the connecting fiber between the telescope and the SNSPD enhance the stability and robustness of the system. Horizontal scanning of the CO2 concentration and the wind field is carried out in a 6 km range over a scanning span of 60° with a radial resolution of 150 m and 15 s. The results show that the hybrid lidar system captures the spatial distribution of CO2 concentration and the wind field simultaneously. The horizontal net CO2 flux in a radius of 6 km is estimated by integrating the CO2 concentration and the wind transport vector, indicating different characteristics of horizontal net CO2 fluxes in an industrial area, a university campus, and a park. During most of the experiment, CO2 flux remained positive in the industrial area, but balances fell to nearly zero on the campus and in the park. The horizontal net fluxes averaged over 24 h in the three areas are 3.5 × 105 ppm·m2·s−1, 0.7 × 105 ppm·m2·s−1, and 0.1 × 105 ppm·m2·s−1.

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