Simulations of spatial variability in particle-size emissions during wind erosion events
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作者:
Butler, Harry J.
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Univ So Queensland, Australian Ctr Sustainable Catchments, Toowoomba, Qld 4350, AustraliaUniv So Queensland, Australian Ctr Sustainable Catchments, Toowoomba, Qld 4350, Australia
Butler, Harry J.
[1
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McTainsh, Grant H.
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Griffith Univ, Griffith Sch Environm, Atmospher Environm Res Ctr, Brisbane, Qld 4111, AustraliaUniv So Queensland, Australian Ctr Sustainable Catchments, Toowoomba, Qld 4350, Australia
McTainsh, Grant H.
[2
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Hogarth, William L.
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Univ Newcastle, Fac Sci & Informat Technol, Callaghan, NSW 2308, AustraliaUniv So Queensland, Australian Ctr Sustainable Catchments, Toowoomba, Qld 4350, Australia
Hogarth, William L.
[3
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机构:
[1] Univ So Queensland, Australian Ctr Sustainable Catchments, Toowoomba, Qld 4350, Australia
[2] Griffith Univ, Griffith Sch Environm, Atmospher Environm Res Ctr, Brisbane, Qld 4111, Australia
[3] Univ Newcastle, Fac Sci & Informat Technol, Callaghan, NSW 2308, Australia
This study simulates how spatial variations in particle-size emissions from a playa affect bulk and size-resolved dust concentration profiles during two contrasting wind erosion events (a small local and a large regional event) in the Channel Country, Lake Eyre Basin, Australia. The regional event had higher dust concentration as a result of stronger frontal winds and higher erodibility across the playa. For each event, two emission scenarios are simulated to determine if measured size-resolved dust concentration profiles can be explained by spatial variability in source area emissions. The first scenario assumes that particle-size emissions from source areas occur at a uniform rate, while the second scenario assumes that particle-size emissions vary between and within source areas. The uniform emission scenario, reproduced measured bulk dust concentration profiles (R2?=?0.93 regional and R2?=?0.81 local), however simulated size-resolved dust concentration profiles had poor statistical fits to measured size-resolved profiles for each size class (the highest were R2?=?0.5 regional and R2?=?0.3 local). For the differential particle-size emission scenario, the fit to the measured bulk dust concentration profiles is improved (R2?=?0.97 regional and R2?=?0.83 local). However, the fit to the size-resolved profiles improved dramatically, with the lowest being R2?=?0.89 (regional) and R2?=?0.80 (local). Particle-size emission models should therefore be tested against both bulk and size-resolved dust concentration profiles, since if only bulk dust concentration profiles are used model performance may be over-stated. As the source areas in the first 90?m upwind of the tower were similar for both events, the percentage contributions of each particle-size class to total emissions can be compared. The contribution of each particle-size class was similar even though the wind speed, turbulence and dust concentrations were significantly different; suggesting that the contribution of each particle-size to the total emitted dusts is not related to wind speed and turbulence. Copyright (C) 2012 John Wiley & Sons, Ltd.
机构:
Univ Sydney, Australian Cotton Cooperat Res Ctr, Fac Agr Food & Nat Resources, Sydney, NSW 2006, AustraliaUniv Sydney, Australian Cotton Cooperat Res Ctr, Fac Agr Food & Nat Resources, Sydney, NSW 2006, Australia
Odeh, IOA
Todd, AJ
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Univ Sydney, Australian Cotton Cooperat Res Ctr, Fac Agr Food & Nat Resources, Sydney, NSW 2006, AustraliaUniv Sydney, Australian Cotton Cooperat Res Ctr, Fac Agr Food & Nat Resources, Sydney, NSW 2006, Australia
Todd, AJ
Triantafilis, J
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Univ Sydney, Australian Cotton Cooperat Res Ctr, Fac Agr Food & Nat Resources, Sydney, NSW 2006, AustraliaUniv Sydney, Australian Cotton Cooperat Res Ctr, Fac Agr Food & Nat Resources, Sydney, NSW 2006, Australia
机构:
Key Laboratory of Land Surface Pattern and Simulation of CAS, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
College of Resources and Environment, University of Chinese Academy of Sciences, BeijingKey Laboratory of Land Surface Pattern and Simulation of CAS, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
Shi W.
Zhang M.
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机构:
Key Laboratory of Land Surface Pattern and Simulation of CAS, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
College of Resources and Environment, University of Chinese Academy of Sciences, BeijingKey Laboratory of Land Surface Pattern and Simulation of CAS, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
机构:
Key Laboratory of Land Surface Pattern and Simulation of CAS, Institute of Geographic Sciences and Natural Resources Research, CAS
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS
College of Resources and Environment, University of Chinese Academy of SciencesKey Laboratory of Land Surface Pattern and Simulation of CAS, Institute of Geographic Sciences and Natural Resources Research, CAS
SHI Wenjiao
ZHANG Mo
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机构:
Key Laboratory of Land Surface Pattern and Simulation of CAS, Institute of Geographic Sciences and Natural Resources Research, CAS
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS
College of Resources and Environment, University of Chinese Academy of SciencesKey Laboratory of Land Surface Pattern and Simulation of CAS, Institute of Geographic Sciences and Natural Resources Research, CAS