Windblown dust deposition forecasting and spread of contamination around mine tailings

Michael Stovern, Héctor Guzmán, Kyle P. Rine, Omar Felix, Matthew King, Wendell P Ela, Eric Betterton, Avelino E Saez

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Article number16
JournalATMOSPHERE
Volume7
Issue number2
DOIs
StatePublished - 2016

Fingerprint

tailings
dust
impoundment
wind erosion
particulate matter
isotopic analysis
anthropogenic source
contamination
topsoil
sampler
soil surface
chemical composition
canopy
weather
erosion
methodology
vegetation
modeling

Keywords

  • Arsenic and lead
  • Dust collection
  • Dust transport
  • Forecasting
  • Mine tailings

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)
  • Atmospheric Science

Cite this

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; Saez, Avelino E.

In: ATMOSPHERE, Vol. 7, No. 2, 16, 2016.

Research output: Contribution to journalArticle

Stovern, Michael ; Guzmán, Héctor ; Rine, Kyle P. ; Felix, Omar ; King, Matthew ; Ela, Wendell P ; Betterton, Eric ; Saez, Avelino E. / Windblown dust deposition forecasting and spread of contamination around mine tailings. In: ATMOSPHERE. 2016 ; Vol. 7, No. 2.
@article{82e68d3849794cf9ae583a0cae5b8a82,
title = "Windblown dust deposition forecasting and spread of contamination around mine tailings",
abstract = "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.",
keywords = "Arsenic and lead, Dust collection, Dust transport, Forecasting, Mine tailings",
author = "Michael Stovern and H{\'e}ctor Guzm{\'a}n and Rine, {Kyle P.} and Omar Felix and Matthew King and Ela, {Wendell P} and Eric Betterton and Saez, {Avelino E}",
year = "2016",
doi = "10.3390/atmos7020016",
language = "English (US)",
volume = "7",
journal = "ATMOSPHERE",
issn = "2073-4433",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "2",

}

TY - JOUR

T1 - Windblown dust deposition forecasting and spread of contamination around mine tailings

AU - Stovern, Michael

AU - Guzmán, Héctor

AU - Rine, Kyle P.

AU - Felix, Omar

AU - King, Matthew

AU - Ela, Wendell P

AU - Betterton, Eric

AU - Saez, Avelino E

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Arsenic and lead

KW - Dust collection

KW - Dust transport

KW - Forecasting

KW - Mine tailings

UR - http://www.scopus.com/inward/record.url?scp=84960117807&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84960117807&partnerID=8YFLogxK

U2 - 10.3390/atmos7020016

DO - 10.3390/atmos7020016

M3 - Article

AN - SCOPUS:84960117807

VL - 7

JO - ATMOSPHERE

JF - ATMOSPHERE

SN - 2073-4433

IS - 2

M1 - 16

ER -