Wind erosion potential for fugitive dust sources in the Athabasca Oil Sands Region

Wang, Xiaoliang; Chow, Judith C.; Kohl, Steven D.; Yatavelli, Laxmi Narasimha R.; Percy, Kevin E.; Legge, A.H.; Watson, John G.

doi:10.1016/j.aeolia.2015.07.004

Cited by 56 publications

(44 citation statements)

References 42 publications

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“…PM 2.5 is produced both by natural and anthropogenic sources such as motor vehicles, windblown dust, industrial processes, and biomass burning (Jeong et al, 2013). Past research on PM 2.5 within the Athabasca region has included overall and comparative emission and air quality analyses Bari, 2011, 2012;Wang et al, 2012Wang et al, , 2015Percy et al, 2012;Howell et al, 2014;Landis et al, 2017). Further studies have developed into modeling the emission sources through both computer-based (Cho et al, 2012) and measurement-based methods (Landis et al, 2012) No previous studies have examined short-term variability in the elemental composition of PM 2.5 in this region.…”

Section: Introductionmentioning

confidence: 99%

Sources of particulate matter components in the Athabasca oil sands region: investigation through a comparison of trace element measurement methodologies

et al. 2017

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Abstract. The province of Alberta, Canada, is home to three oil sands regions which, combined, contain the third largest deposit of oil in the world. Of these, the Athabasca oil sands region is the largest. As part of Environment and Climate Change Canada's program in support of the Joint CanadaAlberta Implementation Plan for Oil Sands Monitoring program, concentrations of trace elements in PM 2.5 (particulate matter smaller than 2.5 µm in diameter) were measured through two campaigns that involved different methodologies: a long-term filter campaign and a short-term intensive campaign. In the long-term campaign, 24 h filter samples were collected once every 6 days over a 2-year period (December 2010-November 2012) at three air monitoring stations in the regional municipality of Wood Buffalo. For the intensive campaign (August 2013), hourly measurements were made with an online instrument at one air monitoring station; daily filter samples were also collected. The hourly and 24 h filter data were analyzed individually using positive matrix factorization. Seven emission sources of PM 2.5 trace elements were thereby identified: two types of upgrader emissions, soil, haul road dust, biomass burning, and two sources of mixed origin. The upgrader emissions, soil, and haul road dust sources were identified through both the methodologies and both methodologies identified a mixed source, but these exhibited more differences than similarities. The second upgrader emissions and biomass burning sources were only resolved by the hourly and filter methodologies, respectively. The similarity of the receptor modeling results from the two methodologies provided reassurance as to the identity of the sources. Overall, much of the PM 2.5 -related trace elements were found to be anthropogenic, or at least to be aerosolized through anthropogenic activities. These emissions may in part explain the previously reported higher levels of trace elements in snow, water, and biota samples collected near the oil sands operations.

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Section: Introductionmentioning

confidence: 99%

Sources of particulate matter components in the Athabasca oil sands region: investigation through a comparison of trace element measurement methodologies

et al. 2017

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“…In the present study, the mass fraction of WSIs in PM 10 exhibited a descending tendency (defined as a spatiotemporal variation) when a considerable amount of dried aeolian dust existed in the atmosphere during the ADE. The mass ratios of WSIs to PM 10 during the ADE were lower than those on regular days and after the ADE in the same region (Tsai et al, 2006;Tsai et al, 2008Tsai et al, , 2010, indicating that this might be related to meteorological conditions (Wang et al, 2015). Fig.…”

Section: Spatiotemporal Variation Of Pm 10 Concentration On Regular Dmentioning

confidence: 87%

“…Crustal materials (CMs), anthropogenic sources, and oceanic sprays are major sources of PM 10 in the coastal industrial regions (Chester et al, 2000;Yuan et al, 2006;Wang et al, 2015). Previous studies have reported that crustal-origin elements (e.g., Al, Ca, and Fe) are abundant in the background particulate matter (Ni et al, 2013;Li et al, 2015;Nayebare et al, 2016).…”

Section: Spatiotemporal Variation Of Pm 10 Concentration On Regular Dmentioning

confidence: 99%

“…The crustal materials of PM 10 , as high as 87.6% during the ADE, were commonly higher than those on regular days (77.7%) and after the ADE (80.1%). The contribution of crustal materials to PM 10 increased dramatically during the ADE because they are the main metallic component of natural soils (Taiwan EPA, 2009;Chen et al, 2015;Wang et al, 2015). Furthermore, aeolian dust emitted from the Kaoping River Valley in southern Taiwan were mainly observed in summer and fall, which are different from Asian dust commonly occurred in winter and spring (Tsai et al, 2006).…”

Section: Spatiotemporal Variation Of Pm 10 Concentration On Regular Dmentioning

confidence: 99%

“…Aeolian dust triggered by specific weather conditions of particular landscapes have been emphasized worldwide (Chow et al, 2003;Mkoma et al, 2009;Wang et al, 2015). South African study has focused on two large pan complexes in northern Namibia (Bryant et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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How Aeolian Dust Deteriorate Ambient Particulate Air Quality along an Expansive River Valley in Southern Taiwan? A Case Study of Typhoon Doksuri

Yuan

2017

Aerosol Air Qual. Res.

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Aeolian dust episodes (ADEs) frequently occurred at the bare lands of the riverbeds in Kaoping River are emerging disasters in Southern Taiwan in the past few years. However, their influences on ambient particulate air quality due to the outflow circulation of typhoons have not been addressed in such a subtropical region. This study aims to investigate the association between typhoons and ADEs and their influences on the ambient particulate air quality, which might occur in East Asia. Four sites along the Kaoping River were selected to collect PM 10 with high-volume samplers during and after the ADE accompanying with Typhoon Doksuri on June 29, 2012. During the ADE, PM 10 concentration rose as high as 30-40 folds higher than those on regular days. Chemical composition of PM 10 was further analyzed to verify several valuable indicators including the molar ratios of [Cl -]/[Na + ] (0.95-1.02), the mass ratios of Fe/Cd (211.6-3957), and the mass ratios of OC/EC (1.18-1.35). Nevertheless, the chloride deficit phenomenon was not favorable during the ADE. Moreover, CMB receptor modeling results showed that aeolian dust and sea-salts were major contributors of PM 10 during the ADE. Along the Kaoping River, the contribution of aeolian dust to PM 10 ranged from 11.5 to 33.1% during the ADE, and reduced to 7.2-23.0% after the ADE. However, a small amount of finer aeolian dust could be still suspended in the ambient air after the ADE. Moreover, integrating SURFER software and WRF model was appropriate to locate the hot spots influenced by the ADE.

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Influences of natural and anthropogenic particles on ambient particulate air quality during typhoon season: From Bashi Channel to Kaoping River Valley

Shen

et al. 2018

Atmospheric Science Letters

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Aeolian dust episode (ADE) is an emerging disaster occurred from the bare lands of the Kaoping River Valley in southern Taiwan because of typhoons. Four manual sampling sites located along the Kaoping River Valley conducted to collect PM 10 (aerodynamic diameter ≤ 10 μm) with high-volume samplers during the ADE occurred by Typhoon Doksuri, and on regular days. Mass percentages of sea-salt particles (SSs) in PM 10 accounted for 5.47-8.91% on regular days and 11.66-14.05% in phase II. Average mass percentage of Ca 2+ in phase I increased twice than those on regular days. Cl − deficit percentages were much lower during the ADE (7.37-14.13%) than on regular days (31.69-42.78%), indicating acidic particles mainly produced by chemical reactions of acidic aerosols with aeolian dust and SSs. Even alkaline aeolian dust is a dominant source of the ADE, the atmospheric particles are attributable to acidic particles in the air. Hence, anthropogenic sources play a key role for the worst air quality during typhoon season. K E Y W O R D Saeolian dust episode, particulate air quality, sea-salt particles, typhoon, water-soluble ionic species

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Wind erosion potential for fugitive dust sources in the Athabasca Oil Sands Region

Cited by 56 publications

References 42 publications

Sources of particulate matter components in the Athabasca oil sands region: investigation through a comparison of trace element measurement methodologies

Sources of particulate matter components in the Athabasca oil sands region: investigation through a comparison of trace element measurement methodologies

How Aeolian Dust Deteriorate Ambient Particulate Air Quality along an Expansive River Valley in Southern Taiwan? A Case Study of Typhoon Doksuri

Influences of natural and anthropogenic particles on ambient particulate air quality during typhoon season: From Bashi Channel to Kaoping River Valley

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