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Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings

Wind erosion, transport and deposition of windblown dust from anthropogenic sources, such as mine tailings impoundments, can have significant effects on the surrounding environment. The lack of vegetation and the vertical protrusion of the mine tailings above the neighboring terrain make the tailing...

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Autores principales: Stovern, Michael, Guzmán, Héctor, Rine, Kyle P., Felix, Omar, King, Matthew, Ela, Wendell P., Betterton, Eric A., Sáez, Avelino Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658141/
https://www.ncbi.nlm.nih.gov/pubmed/29082035
http://dx.doi.org/10.3390/atmos7020016
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author Stovern, Michael
Guzmán, Héctor
Rine, Kyle P.
Felix, Omar
King, Matthew
Ela, Wendell P.
Betterton, Eric A.
Sáez, Avelino Eduardo
author_facet Stovern, Michael
Guzmán, Héctor
Rine, Kyle P.
Felix, Omar
King, Matthew
Ela, Wendell P.
Betterton, Eric A.
Sáez, Avelino Eduardo
author_sort Stovern, Michael
collection PubMed
description Wind erosion, transport and deposition of windblown dust from anthropogenic sources, such as mine tailings impoundments, can have significant effects on the surrounding environment. The lack of vegetation and the vertical protrusion of the mine tailings above the neighboring terrain make the tailings susceptible to wind erosion. Modeling the erosion, transport and deposition of particulate matter from mine tailings is a challenge for many reasons, including heterogeneity of the soil surface, vegetative canopy coverage, dynamic meteorological conditions and topographic influences. In this work, a previously developed Deposition Forecasting Model (DFM) that is specifically designed to model the transport of particulate matter from mine tailings impoundments is verified using dust collection and topsoil measurements. The DFM is initialized using data from an operational Weather Research and Forecasting (WRF) model. The forecast deposition patterns are compared to dust collected by inverted-disc samplers and determined through gravimetric, chemical composition and lead isotopic analysis. The DFM is capable of predicting dust deposition patterns from the tailings impoundment to the surrounding area. The methodology and approach employed in this work can be generalized to other contaminated sites from which dust transport to the local environment can be assessed as a potential route for human exposure.
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spelling pubmed-56581412017-10-26 Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings Stovern, Michael Guzmán, Héctor Rine, Kyle P. Felix, Omar King, Matthew Ela, Wendell P. Betterton, Eric A. Sáez, Avelino Eduardo Atmosphere (Basel) Article Wind erosion, transport and deposition of windblown dust from anthropogenic sources, such as mine tailings impoundments, can have significant effects on the surrounding environment. The lack of vegetation and the vertical protrusion of the mine tailings above the neighboring terrain make the tailings susceptible to wind erosion. Modeling the erosion, transport and deposition of particulate matter from mine tailings is a challenge for many reasons, including heterogeneity of the soil surface, vegetative canopy coverage, dynamic meteorological conditions and topographic influences. In this work, a previously developed Deposition Forecasting Model (DFM) that is specifically designed to model the transport of particulate matter from mine tailings impoundments is verified using dust collection and topsoil measurements. The DFM is initialized using data from an operational Weather Research and Forecasting (WRF) model. The forecast deposition patterns are compared to dust collected by inverted-disc samplers and determined through gravimetric, chemical composition and lead isotopic analysis. The DFM is capable of predicting dust deposition patterns from the tailings impoundment to the surrounding area. The methodology and approach employed in this work can be generalized to other contaminated sites from which dust transport to the local environment can be assessed as a potential route for human exposure. 2016-01-28 2016-02 /pmc/articles/PMC5658141/ /pubmed/29082035 http://dx.doi.org/10.3390/atmos7020016 Text en http://creativecommons.org/licenses/by/4.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stovern, Michael
Guzmán, Héctor
Rine, Kyle P.
Felix, Omar
King, Matthew
Ela, Wendell P.
Betterton, Eric A.
Sáez, Avelino Eduardo
Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings
title Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings
title_full Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings
title_fullStr Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings
title_full_unstemmed Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings
title_short Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings
title_sort windblown dust deposition forecasting and spread of contamination around mine tailings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658141/
https://www.ncbi.nlm.nih.gov/pubmed/29082035
http://dx.doi.org/10.3390/atmos7020016
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