Arid
DOI10.1016/j.aeolia.2015.07.003
Development of a dust deposition forecasting model for mine tailings impoundments using in situ observations and particle transport simulations
Stovern, Michael1; Rine, Kyle P.1; Russell, MacKenzie R.1; Felix, Omar2; King, Matt1; Saez, A. Eduardo2; Betterton, Eric A.1
通讯作者Stovern, Michael
来源期刊AEOLIAN RESEARCH
ISSN1875-9637
EISSN2212-1684
出版年2015
卷号18页码:155-167
英文摘要

Mine tailings impoundments in arid and semiarid environments are susceptible to wind erosion due to their fine grain silt and sandy composition and lack of vegetative coverage. Aeolian transport of particulate matter from these mine tailings impoundments are potential hazards to human health due to the presence of metal and metalloid contaminants. Predicting windblown transport of mine tailings material can be a useful tool in characterizing the risk and environmental impact on neighboring communities. This work presents a model that can be used to forecast the transport and deposition of windblown dust from mine tailings impoundments. The deposition forecast model uses in situ observations from a tailings field site and theoretical simulations of aerosol transport to parameterize the model. It includes a method for simulating deposition patterns for several different size fractions and can be translated to other regions and applied to different windblown dust sources. The model was developed using data from the Iron King Mine tailings in Dewey-Humboldt, Arizona, a Superfund site that is heavily contaminated with lead and arsenic. A preliminary verification of the model was conducted using topsoil measurements of lead and arsenic as tracers of windblown dust from the tailings impoundment. The tailings tracers support the predicted deposition patterns generated by the deposition forecasting model. (C) 2015 Elsevier B.V. All rights reserved.


英文关键词Deposition Dust Wind erosion Aerosol transport Superfund
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000362134800014
WOS类目Geography, Physical
WOS研究方向Physical Geography
来源机构University of Arizona
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/185495
作者单位1.Univ Arizona, Dept Atmospher Sci, Tucson, AZ 85721 USA;
2.Univ Arizona, Dept Chem & Environm Engn, Tucson, AZ 85721 USA
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GB/T 7714
Stovern, Michael,Rine, Kyle P.,Russell, MacKenzie R.,et al. Development of a dust deposition forecasting model for mine tailings impoundments using in situ observations and particle transport simulations[J]. University of Arizona,2015,18:155-167.
APA Stovern, Michael.,Rine, Kyle P..,Russell, MacKenzie R..,Felix, Omar.,King, Matt.,...&Betterton, Eric A..(2015).Development of a dust deposition forecasting model for mine tailings impoundments using in situ observations and particle transport simulations.AEOLIAN RESEARCH,18,155-167.
MLA Stovern, Michael,et al."Development of a dust deposition forecasting model for mine tailings impoundments using in situ observations and particle transport simulations".AEOLIAN RESEARCH 18(2015):155-167.
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