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Using Longwave Infrared Hyperspectral Imaging for a Quantitative Atmospheric Tracer Monitoring in Outdoor Environments

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Document pages: 20 pages

Abstract: Quantitative real-timeretrieval of concentration-lengths (CL) through gaseous plumes is an importanttool for environmental monitoring, enabling remote monitoring of emissions fromindustrial facilities and risk assessment in scenarios of toxic gas releases.The adoption of LWIR (Long Wave InfraRed) hyperspectral imaging as a leadingtechnique for remote gas plume detection paved the way for an introduction of aprecise CL estimation and two-dimensional (2D) mapping. A novel methodology forevaluating and characterizing the performance of a retrieval algorithm ispresented. The algorithm utilizes state-of-the-art retrieved hyperspectral 2Dmapping and is applied on a series of localized atmospheric tracer gas (SF6)releases in monitored environmental conditions. The retrieved CL distributionsare compared to a numeric atmospheric T&D (Transport and Diffusion) model.Satisfactory agreement between retrieved and simulated CL prediction ismanifested, and the uncertainty involved is quantified. Possible sources forthe remained discrepancies between retrieved and simulated CL values arecharacterized, and methods to minimize them are discussed.

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