Black carbon aerosol number and mass concentration measurements by picosecond short-range elastic backscatter lidar

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 19, 2022
Source ID
10.1038/s41598-022-11954-7

Entities

People

  • Andrés E. Bedoya-velásquez
  • Christopher Sorensen
  • Claudio Mazzoleni
  • Frédéric Fossard
  • Jérôme Yon
  • Lucas Paulien
  • Matthew J. Berg
  • Romain Ceolato
  • Sidonie Lefebvre
  • Vincent Mouysset

Organizations

  • Air Force Office of Scientific Research
  • National Science Foundation
  • Office National d'Études et de Recherches Aérospatiales
  • United States Department of Energy

Tags

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Atmospheric Remote Sensing.
  • Materials Science and Engineering.