Investigation of a 1000-MW smoke plume by means of a 1.064 μm lidar—II. Determination of diffusion characteristics of the plume particles

Bénech, B.; Dinh, Pham Van; Ezcurra, A.; Lesne, J. L.

doi:10.1016/0004-6981(88)90337-x

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…Among these formulations, Briggs's equation for buoyant plumes in a crosswind has gained widespread use and has been validated for a range of heat fluxes from industrial sources (Briggs 1975;Weil 1988). Benech et al (1988), for example, found good agreement between observations of plume rise during the ''Météotron'' oil-burner experiments (Benech 1976;Church et al 1980) and the Briggs equation.…”

Section: Introductionmentioning

confidence: 74%

“…Using a radiative transfer model, Banta et al (1992) showed that the lidar backscatter due to the numerous small smoke particles is comparable to the backscatter from the sparser large particles and that the logarithm of the backscatter is roughly proportional to the smoke concentration. Because of this sensitivity, near-IR lidars have been used to study smoke plumes and dispersion processes in numerous studies (Benech et al 1988;Banta et al 1992;Kovalev et al 2005;Hiscox et al 2006;Charland and Clements 2013;Clements et al 2016;Lareau andClements 2015, 2016).…”

Section: Methodsmentioning

confidence: 99%

“…Following the approach of Benech et al (1988), the observed plume-rise centerline and crosswind are used to invert Eq. (1) to estimate the source buoyancy flux.…”

Section: ) Estimated Heat Fluxmentioning

confidence: 99%

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The Mean and Turbulent Properties of a Wildfire Convective Plume

Lareau

Clements

2017

Journal of Applied Meteorology and Climatology

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The time-mean and time-varying smoke and velocity structure of a wildfire convective plume is examined using a high-resolution scanning Doppler lidar. The mean plume is shown to exhibit the archetypal form of a bent-over plume in a crosswind, matching the well-established Briggs plume-rise equation. The plume cross section is approximately Gaussian and the plume radius increases linearly with height, consistent with plume-rise theory. The Briggs plume-rise equation is subsequently inverted to estimate the mean fire-generated sensible heat flux, which is found to be 87 kW m−2. The mean radial velocity structure of the plume indicates flow convergence into the plume base and regions of both convective overshoot and sinking flow in the upper plume. The updraft speed in the lower plume is estimated to be 13.5 m s−1 by tracking the leading edge of a convective element ascending through the plume. The lidar data also reveal aspects of entrainment processes during the plume rise. For example, the covariation of the radial velocity and smoke perturbations are shown to dilute the smoke concentration with height.

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Section: Introductionmentioning

confidence: 74%

Section: Methodsmentioning

confidence: 99%

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The Mean and Turbulent Properties of a Wildfire Convective Plume

Lareau

Clements

2017

Journal of Applied Meteorology and Climatology

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“…Efforts to examine fire-induced turbulence regimes using in situ instrumentation in the early 21st century were complemented with new remote sensing measurements of wildland fire plume dynamics (including turbulence effects), utilising near-infrared lidar technology that was previously shown to be a viable means of measuring smoke plumes and plume dispersion (e.g. Benech et al 1988;Banta et al 1992;Kovalev et al 2005;Hiscox et al 2006) wildland fire plumes at their boundaries, thereby diluting plume concentrations (Fig. 8).…”

Section: Remote Sensing Of Turbulent Plume Dynamicsmentioning

confidence: 99%

Atmospheric turbulence and wildland fires: a review

Heilman

2023

Int. J. Wildland Fire

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The behaviour of wildland fires and the dispersion of smoke from those fires can be strongly influenced by atmospheric turbulent flow. The science to support that assertion has developed and evolved over the past 100+ years, with contributions from laboratory and field observations, as well as modelling experiments. This paper provides a synthesis of the key laboratory- and field-based observational studies focused on wildland fire and atmospheric turbulence connections that have been conducted from the early 1900s through 2021. Included in the synthesis are reports of anecdotal turbulence observations, direct measurements of ambient and fire-induced turbulent flow in laboratory and wildland environments, and remote sensing measurements of fire-induced turbulent plume dynamics. Although considerable progress has been made in advancing our understanding of the connections between atmospheric turbulence and wildland fire behaviour and smoke dispersion, gaps in that understanding still exist and are discussed to conclude the synthesis.

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“…In particular, lidar (laser radar, LIght Detection And Ranging) has been applied for analysing contrails (the condensation trail of an aircraft engine) [2], for studying plume rise and dispersion, and for estimating particle concentrations in smoke plumes [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%