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Evaluation of Vegetation Fire Smoke Plume Dynamics and Aerosol Load Using Uv Scanning Lidar and Fire-atmosphere Modelling During the Mediterranean Letia 2010 Experiment : Volume 1, Issue 4 (08/08/2013)

By Leroy-cancellieri, V.

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Book Id: WPLBN0004018972
Format Type: PDF Article :
File Size: Pages 46
Reproduction Date: 2015

Title: Evaluation of Vegetation Fire Smoke Plume Dynamics and Aerosol Load Using Uv Scanning Lidar and Fire-atmosphere Modelling During the Mediterranean Letia 2010 Experiment : Volume 1, Issue 4 (08/08/2013)  
Author: Leroy-cancellieri, V.
Volume: Vol. 1, Issue 4
Language: English
Subject: Science, Natural, Hazards
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Filippi, J. B., Mari, C., Bosseur, F., Fourmentin, M., Leroy-Cancellieri, V., Augustin, P.,...Delbarre, H. (2013). Evaluation of Vegetation Fire Smoke Plume Dynamics and Aerosol Load Using Uv Scanning Lidar and Fire-atmosphere Modelling During the Mediterranean Letia 2010 Experiment : Volume 1, Issue 4 (08/08/2013). Retrieved from

Description: Laboratoire Sciences Pour l'Environnement, CNRS-Université de Corse, Corte, France. Vegetation fires emit large amount of gases and aerosols which are detrimental to human health. Smoke exposure near and downwind of fires depends on the fire propagation, the atmospheric circulations and the burnt vegetation. A better knowledge of the interaction between wildfire and atmosphere is a primary requirement to investigate fire smoke and particle transport. The purpose of this paper is to highlight the usefulness of an UV scanning lidar to characterize the fire smoke plume and consequently validate fire-atmosphere model simulations.

An instrumented burn was conducted in a Mediterranean area typical of ones frequently concern by wildfire with low dense shrubs. Using Lidar measurements positioned near the experimental site, fire smoke plume was thoroughly characterized by its optical properties, edge and dynamics. These parameters were obtained by combining methods based on lidar inversion technique, wavelet edge detection and a backscatter barycenter technique. The smoke plume displacement was determined using a digital video camera coupled with the Lidar.

The simulation was performed using a meso-scale atmospheric model in a large eddy simulation configuration (Meso-NH) coupled to a fire propagation physical model (ForeFire) taking into account the effect of wind, slope and fuel properties. A passive numerical scalar tracer was injected in the model at fire location to mimic the smoke plume. The simulated fire smoke plume width remained within the edge smoke plume obtained from lidar measurements. The maximum smoke injection derived from lidar backscatter coefficients and the simulated passive tracer was around 200 m. The vertical position of the simulated plume barycenter was systematically below the barycenter derived from the lidar backscatter coefficients due to the oversimplified properties of the passive tracer compared to real aerosols particles. Simulated speed and horizontal location of the plume compared well with the observations derived from the videography and lidar method suggesting that fire convection and advection were correctly taken into account.

Evaluation of vegetation fire smoke plume dynamics and aerosol load using UV scanning lidar and fire-atmosphere modelling during the Mediterranean Letia 2010 experiment

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