Flash resonance Raman lidar for SO2 gas leak detection

Somekawa, Toshihiro; Ichikawa, Yuji; Ogita, Masakazu; Sugimoto, Sachiyo; Chosrowjan, Haik; Taniguchi, Seiji; Asahi, Ippei

doi:10.1016/j.optcom.2022.128083

Cited by 7 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A flash lidar is an image-based technique that can detect the lidar signals such as Mie and Raman scatterings using intensified chargecoupled device (CCD) cameras gated on a nanosecond time scale. 8 The flash lidar utilizes an expanding laser beam to illuminate a scene over a wider field of view (FOV) to capture 2D data of the entire scene simultaneously. The flash Raman lidar monitoring in water has proven to have impressive potential as an effective remote sensing tool for detecting underwater objects, as described below.…”

Section: Introductionmentioning

confidence: 99%

Development of a flash lidar system for remote detection of oil in water

Somekawa,

Kurahashi,

Yogo

et al. 2023

Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2023

View full text Add to dashboard Cite

We report remote detection of oil using a flash Raman lidar system. The utilization of an expanding laser beam and an intensified CCD camera enabled the wide field-of-view observation, capturing the whole scene simultaneously. The second harmonic of a standard Q-switched Nd:YAG laser (532 nm) provided the illumination of the water and oil samples separately prepared under atmospheric conditions. We demonstrated the possibility of remote flash Raman lidar measurements using the interference filters at the water (649 nm) and oil (623 nm) Raman wavelengths.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of a flash lidar system for remote detection of oil in water

Somekawa,

Kurahashi,

Yogo

et al. 2023

Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2023

View full text Add to dashboard Cite

show abstract

“…Examples include the Differential Optical Absorption Spectrometer (DOAS), Passive Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) [12], Imaging Differential Optical Absorption Spectrometer (I-DOAS), open-path Fourier transform infrared spectrometers (open-path FTIR) [13], DOAS and Raman LIDAR, and thermal infrared cameras (nicAIR IIC) [14]. Among them, LIDAR is an active detecting technology and can accurately and quickly measure the SO 2 column density along the laser beam path through the volcanic plume, but it cannot observe the entire volume of plume emission [15]. DOAS and FTIR are superior because of their good portability, high spectral resolution, high sensitivity, and simple operation, but they are limited by spatial resolution and the availability of sample data.…”

Section: Introductionmentioning

confidence: 99%

Spectral Calibration for SO2 Cameras with Light Dilution Effect Correction

Guo

Zhang

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

The detection ability of SO2 cameras has been improved effectively, while the calibration is still the main factor that limits their measurement accuracy. This paper presents a nonlinear calibration theory by considering the effect of light dilution due to the path radiance as well as the dependence of plume aerosol on scattering wavelength. This new spectral calibration method is used to retrieve the SO2 column density and emission rate of the Etna volcano. Results show that, compared with the DOAS calibration approach, the inversion error can be reduced by 13% if the new spectral calibration is adopted. The superiority of the proposed method will become more obvious for long-distance detection of optically thick plumes.

show abstract