Abstract
Monitoring the emission of gases is difficult to achieve in industrial sites and in environments presenting poor infrastructures. Hence, robust methodologies should be developed and coupled to Lidar technology to allow remote sensing of gas emission. OSAS is a new methodology to evaluate gas concentration emission from spectrally integrated differential absorption measurements. Proof of concept of OSAS-Lidar for CH4 emission monitoring is here presented.
Highlights
Lidar remote sensing has found a large interest in dedicated field studies on atmospheric trace gases and high concentrated atmospheric compounds for air quality control, industrial emission surveys and for long-term evaluation of climate change [1,2,3]
Due to the weakness of Raman scattering crosssections, the Raman scattering Lidar (RSL)-methodology is often limited to the remote sensing detection of high concentrated gases such as water vapor
When the absorption line width is in the same range as the laser spectral width, effective absorption cross section should be taken into account
Summary
Lidar remote sensing has found a large interest in dedicated field studies on atmospheric trace gases and high concentrated atmospheric compounds for air quality control, industrial emission surveys and for long-term evaluation of climate change [1,2,3]. When the absorption line width is in the same range as the laser spectral width (or even narrower than), effective absorption cross section should be taken into account It follows that a measurement uncertainty is added as for the detection of greenhouse gases such as water vapor (H2O), methane (CH4) or carbon dioxide (CO2) [8] in the mid-infrared spectral region. In this case, other methodologies, based on a broadband emission laser and a high spectral resolution detector, have been successfully applied, as we formerly published [9].
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