DOI: 10.1016/j.atmosenv.2020.117505
论文题名: Identification of ambient SO2 sources in industrial areas in the lower Athabasca oil sands region of Alberta, Canada
作者: Bari M.A. ; Kindzierski W.B. ; Roy P.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 231 语种: 英语
英文关键词: Air quality
; Air quality standards
; Dust
; Factorization
; Fog
; Oil sands
; Roads and streets
; Sand
; Sulfur dioxide
; Volatile organic compounds
; Air monitoring stations
; Ambient air quality standards
; Ambient measurement
; Athabasca oil sands
; Exploratory studies
; Positive Matrix Factorization
; Secondary inorganic aerosol
; Volatile organic compound (VOC)
; Industrial emissions
; aluminum
; ammonia
; arsenic
; barium
; beryllium
; bismuth
; cadmium
; calcium
; calcium ion
; chloride
; chromium
; cobalt
; copper
; fluoride ion
; iron
; magnesium
; magnesium ion
; manganese
; molybdenum
; nickel
; nitrate
; phosphorus
; potassium
; potassium ion
; silver
; sodium
; sodium ion
; sulfate
; sulfur dioxide
; volatile organic compound
; ambient air
; concentration (composition)
; industrial emission
; pollutant source
; pollution monitoring
; source identification
; standard (reference)
; sulfur dioxide
; aerosol
; air monitoring
; air quality
; Alberta
; ambient air
; Article
; biomass
; environmental protection
; industrial area
; mass fragmentography
; method detection limit
; particulate matter
; plume dispersion
; priority journal
; season
; species differentiation
; tar sand
; time series analysis
; Alberta
; Athabasca Oil Sands
; Canada
; Fort McKay
学科: Exceedances
; PMF
; Source identification
; Sulfur dioxide
中文摘要: With ongoing interest in sulfur dioxide (SO2) levels approaching a new Canadian Ambient Air Quality Standards (CAAQS) in the Athabasca Oil Sands Region (AOSR), an exploratory study was undertaken to identify potential local emission sources that influence ambient SO2 concentrations. The approach used in this study was to apply the receptor model positive matrix factorization (PMF) using ambient measurement data of PM10 components (metals and ion species), gaseous pollutants and volatile organic compound (VOC) species from two industrial air monitoring stations (i.e., AMS13-Fort McKay South and AMS15-CNRL Horizon) over a 3-year period (2015–2017). Results were then used to examine receptor model-defined sources for which SO2 was a statistically strong predictor. Eleven sources were tentatively identified: a mixed oil sands, stack emissions & fugitive dust factor, a haul road dust factor, an aged air mass & biogenic factor, secondary inorganic aerosol, a W–Co–Bi–SO2-rich factor, oil sands mixed fugitives and a mixed industrial and off-road traffic factor. No significant variation was observed in inferred contributions of major SO2-related sources among the two air monitoring stations investigated. These preliminary findings offer insights about different source emissions that influence ambient SO2 concentrations in the AOSR. We suggest there may be potential application of this approach to other settings where similar datasets are available and there is interest in understanding sources affecting ambient SO2 levels. © 2020 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160327
Appears in Collections: 气候变化与战略
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作者单位: Department of Environmental and Sustainable Engineering, University at Albany, State University of New York, 1400 Washington Avenue, BIO 228, Albany, NY 12222, United States; School of Public Health, University of Alberta, 3-57 South Academic Building, 11405-87 Avenue, Edmonton, Alberta T6G 1C9, Canada; Alberta Environment and Parks, Government of Alberta, Provincial Building, 9915 Franklin Avenue, Fort McMurray, Alberta T6H 2K4, Canada
Recommended Citation:
Bari M.A.,Kindzierski W.B.,Roy P.. Identification of ambient SO2 sources in industrial areas in the lower Athabasca oil sands region of Alberta, Canada[J]. Atmospheric Environment,2020-01-01,231