Development of a Mobile Dust Source Parameterization using an Inverse Lagrangian Stochastic Modeling Technique
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Authors
McAlpine, Jerrold D.
Issue Date
2012
Type
Dissertation
Language
Keywords
atmospheric surface layer , dust , entrainment , inverse modeling , Lagrangian particle modeling , rotorcraft
Alternative Title
Abstract
In arid regions, mechanical disturbances along the desert floor can result in large
fluctuations of dust particles into the atmosphere. Rotorcraft operation near the surface
may have the greatest potential for dust entrainment per vehicle. Due to this, there is a
need for efficient tools to estimate the risk of air quality and visibility impacts in the
neighborhood of rotorcraft operating near the desert surface. In this study, a set of
parameterized models were developed to form a multi-component modeling system to
simulate the entrainment and dispersion of dust from a rotorcraft wake. A simplified
scheme utilizing momentum theory was applied to predict the shear stress at the ground
under the rotorcraft. Stochastic dust emission algorithms were used to predict the PM10
emission rate from the wake. The distribution of dust emission from the wake was
assigned at the walls of a box-volume that encapsulates the wake. The distribution was
determined using the results of an inverse Lagrangian stochastic particle dispersion
modeling study, using a dataset from a full-scale experiment. All of the elements were
put together into a model that simulates the dispersion of PM10 dust from a rotorcraft
wake. Downwind concentrations of PM10 estimated using the multi-component modeling
system compared well to a set of experimental measurements.
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In Copyright(All Rights Reserved)