Gnamma Pit Growth and Paleowind Intensity in the Sonoran Desert: Insights from Wind Tunnel Experiments and Numerical Modeling

abstract: Gnamma pit is an Australian aboriginal term for weathering pit. A mix of weathering and aeolian processes controls the formation of gnamma pits. There is a potential to utilize gnamma as an indicator of paleowind intensity because gnamma growth is promoted by the removal of particles from...

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Other Authors: Wang, Yinlue (Author)
Format: Dissertation
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.29908
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spelling ndltd-asu.edu-item-299082018-06-22T03:06:12Z Gnamma Pit Growth and Paleowind Intensity in the Sonoran Desert: Insights from Wind Tunnel Experiments and Numerical Modeling abstract: Gnamma pit is an Australian aboriginal term for weathering pit. A mix of weathering and aeolian processes controls the formation of gnamma pits. There is a potential to utilize gnamma as an indicator of paleowind intensity because gnamma growth is promoted by the removal of particles from gnamma pits by wind, a process referred to as deflation. Wind tunnel tests determining the wind velocity threshold of deflation over a range of pit dimensions and particles sizes are conducted. Computational fluid dynamics (CFD) modeling utilizing the Re-Normalisation Group (RNG) K-Epsilon turbulence closure is used to investigate the distribution of wall shear stress and turbulent kinetic energy. An empirical equation is proposed to estimate shear stress as a function of the wind velocity and pit depth dimensions. With this equation and Shields Diagram, the wind velocity threshold for evacuating particles in the pit can be estimated by measuring the pit depth ratio and particle size. It is expected that the pit would continue to grow until this threshold is reached. The wind speed deflation threshold is smaller in the wind tunnel than predicted by the CFD and Shields diagram model. This discrepancy may be explained by the large turbulent kinetic energy in the gnamma pit as predicted by the CFD model as compared to the flat bed experiments used to define the Shields diagram. An empirical regression equation of the wind tunnel data is developed to estimate paleowind maximums. Dissertation/Thesis Wang, Yinlue (Author) Schmeeckle, Mark W (Advisor) Dorn, Ronald I (Committee member) Balling, Robert C (Committee member) Arizona State University (Publisher) Geography Geomorphology Computational fluid dynamics modeling Gnamma Paleowind Weathering pit Wind tunnel experiments eng 56 pages Masters Thesis Geography 2015 Masters Thesis http://hdl.handle.net/2286/R.I.29908 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2015
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Geography
Geomorphology
Computational fluid dynamics modeling
Gnamma
Paleowind
Weathering pit
Wind tunnel experiments
spellingShingle Geography
Geomorphology
Computational fluid dynamics modeling
Gnamma
Paleowind
Weathering pit
Wind tunnel experiments
Gnamma Pit Growth and Paleowind Intensity in the Sonoran Desert: Insights from Wind Tunnel Experiments and Numerical Modeling
description abstract: Gnamma pit is an Australian aboriginal term for weathering pit. A mix of weathering and aeolian processes controls the formation of gnamma pits. There is a potential to utilize gnamma as an indicator of paleowind intensity because gnamma growth is promoted by the removal of particles from gnamma pits by wind, a process referred to as deflation. Wind tunnel tests determining the wind velocity threshold of deflation over a range of pit dimensions and particles sizes are conducted. Computational fluid dynamics (CFD) modeling utilizing the Re-Normalisation Group (RNG) K-Epsilon turbulence closure is used to investigate the distribution of wall shear stress and turbulent kinetic energy. An empirical equation is proposed to estimate shear stress as a function of the wind velocity and pit depth dimensions. With this equation and Shields Diagram, the wind velocity threshold for evacuating particles in the pit can be estimated by measuring the pit depth ratio and particle size. It is expected that the pit would continue to grow until this threshold is reached. The wind speed deflation threshold is smaller in the wind tunnel than predicted by the CFD and Shields diagram model. This discrepancy may be explained by the large turbulent kinetic energy in the gnamma pit as predicted by the CFD model as compared to the flat bed experiments used to define the Shields diagram. An empirical regression equation of the wind tunnel data is developed to estimate paleowind maximums. === Dissertation/Thesis === Masters Thesis Geography 2015
author2 Wang, Yinlue (Author)
author_facet Wang, Yinlue (Author)
title Gnamma Pit Growth and Paleowind Intensity in the Sonoran Desert: Insights from Wind Tunnel Experiments and Numerical Modeling
title_short Gnamma Pit Growth and Paleowind Intensity in the Sonoran Desert: Insights from Wind Tunnel Experiments and Numerical Modeling
title_full Gnamma Pit Growth and Paleowind Intensity in the Sonoran Desert: Insights from Wind Tunnel Experiments and Numerical Modeling
title_fullStr Gnamma Pit Growth and Paleowind Intensity in the Sonoran Desert: Insights from Wind Tunnel Experiments and Numerical Modeling
title_full_unstemmed Gnamma Pit Growth and Paleowind Intensity in the Sonoran Desert: Insights from Wind Tunnel Experiments and Numerical Modeling
title_sort gnamma pit growth and paleowind intensity in the sonoran desert: insights from wind tunnel experiments and numerical modeling
publishDate 2015
url http://hdl.handle.net/2286/R.I.29908
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