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Prediction of mineral dust properties at mine sites

Citation

Noble, TL and Berry, RF and Goemann, K and Lottermoser, B, Prediction of mineral dust properties at mine sites, Environmental Indicators in Metal Mining, Springer, B Lottermoser (ed), Switzerland, pp. 343-354. ISBN 9783319427294 (2017) [Research Book Chapter]

Copyright Statement

Copyright 2017 Springer International Publishing Switzerland

DOI: doi:10.1007/978-3-319-42731-7_19

Abstract

Predicting the properties of dust generated at mine sites is important for understanding the impact of dust dispersal to the surrounding environment. This chapter presents a new approach to predicting the mineralogical properties of the PM2.5 and PM10 dust fractions. A purpose-built dust resuspension machine was fitted with a size selective sampler to collect dust fractions. Dust particles were collected onto a polycarbonate filter, which was analyzed using a scanning electron microscope (SEM). Backscattered electron (BSE) maps of the polycarbonate surface were imaged and processed to determine dust properties. For a given population of particles, the BSE brightness distribution of the 2-5 and 5-10 Ám size fractions were quantified. The mineralogical composition of the dust size fractions were inferred by the BSE brightness as biogenic particles and sulfates (30-50), silicates (60-100), iron silicates and oxides (110-190), and sulfides (>200). The method was validated by comparing laboratory-generated dust fractions with those collected from dust monitoring stations at a tailings repository site. Similar dust composition and size fractions were observed for both laboratory and field samples. Consequently, the purpose-built dust resuspension device and associated laboratory procedures allow the prediction of mineralogical properties of dust at mine sites.

Item Details

Item Type:Research Book Chapter
Keywords:dust monitoring, mine site, mineral dust
Research Division:Environmental Sciences
Research Group:Environmental Science and Management
Research Field:Environmental Monitoring
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Earth Sciences
Author:Noble, TL (Dr Taryn Noble)
Author:Berry, RF (Associate Professor Ron Berry)
Author:Goemann, K (Dr Karsten Goemann)
ID Code:115250
Year Published:2017
Deposited By:CODES ARC
Deposited On:2017-03-10
Last Modified:2017-11-15
Downloads:0

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