Black carbon aerosol number and mass concentration measurements by picosecond short-range elastic backscatter lidar
Year: 2022
Type: article
Abstract: Black carbon aerosol emissions are recognized as contributors to global warming and air pollution. There remains, however, a lack of techniques to remotely measure black carbon aerosol particles with high range and time resolution. This article presents a direct and contact-free remote technique to estimate the black carbon aerosol number and mass concentration at a few meters from the emission source. This is done using the Colibri instrument based on a novel technique, referred to here as Picosecond Short-Range Elastic Backscatter Lidar (PSR-EBL). To address the complexity of retrieving lidar products at short measurement ranges, we apply a forward inversion method featuring radiometric lidar calibration. Our method is based on an extension of a well-established light-scattering model, the Rayleigh-Debye-Gans for Fractal-Aggregates (RDG-FA) theory, which computes an analytical expression of lidar parameters. These parameters are the backscattering cross-sections and the lidar ratio for black carbon fractal aggregates. Using a small-scale Jet A-1 kerosene pool fire, we demonstrate the ability of the technique to quantify the aerosol number and mass concentration with centimetre range-resolution and millisecond time-resolution.
Source: Scientific Reports
Institutions: Office National d'Études et de Recherches Aérospatiales, Centre National de la Recherche Scientifique, Université Paris-Saclay, Laboratoire d'Étude des Microstructures, Michigan Technological University, Kansas State University, Complexe de Recherche Interprofessionnel en Aérothermochimie, Institut National des Sciences Appliquées Rouen Normandie
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $2,190
Awards: G14321327, G1523888516, CAREER: In Situ Study of Aerosols in the Coarse Mode With Digital Holography, G437311236, LAACI – LIGHT ABSORBING AEROSOL-CLOUD INTERACTIONS EXPERIMENT, MRI: Development of a Water Vapor and Temperature Mapping System to Study Cloud-turbulence Interactions in the Michigan Technological University (MTU) Pi-Chamber, G875364408
OpenAlex ID: W4380145397
