Characterization of volatile organic compound emission sources in Fort Saskatchewan, Alberta using principal component analysis

被引:0
|
作者
Rachel Mintz
Robert D. McWhinney
机构
[1] Environment Canada,
[2] Meteorological Service of Canada,undefined
[3] Environment Canada,undefined
[4] Environmental Protection Operations,undefined
来源
关键词
Alberta, Canada; Fort Saskatchewan; Industry; Principal component analysis; Volatile organic compounds;
D O I
暂无
中图分类号
学科分类号
摘要
Volatile organic compounds (VOCs) were measured at two sites in a highly industrialized zone in western Canada from September 2004 to March 2006. Principal component analysis (PCA) with varimax rotation was performed on 30 VOCs to identify the pollution sources. Aliphatics, aromatics, and halogenated aliphatics were studied. The two monitoring sites were 11 km apart, with site 1 closer to the city of Fort Saskatchewan and site 2 predominantly down wind from the industrial sources. PCA results provided the basis for interpreting the relationship between the ambient 24-h integrated VOC samples and the emission sources in the region. Challenges existed in interpreting the PCA results in such a highly industrialized region; however a unique feature to this study was the fact that the region was home to the only 1,2-dichloroethane emitting facility in Canada. Other specific industry related VOCs in the region were vinyl chloride, styrene and HCFC-22. Making use of these specific VOCs in the PCA allowed for easy identification of an industrial contribution. For factors that were not easily distinguishable, further PCA tests were conducted using carbon monoxide concentrations, wind direction data and seasonal splitting of the samples. The analysis found that five factors accounted for 82% of the variance at site 1 and five factors accounted for 81% of the variance at site 2. The factor accounting for the highest variability (∼40%) at the two sites was the most difficult to interpret, but showed contributions from both industry and vehicle related emissions. Specific industrial sources were identified using 1,2-dichloroethane as a chemical tracer or by corroborating wind speed with known industry VOC emissions. Both sites had two factors identified as specific industry sources and these factors totaled to over 20% of the variance. Long range transport of stable halogenated compounds accounted for greater than 10% of the variance, and seasonal effects accounted for 5% of the variance.
引用
收藏
页码:83 / 101
页数:18
相关论文
共 50 条
  • [31] Breath analysis using a spirometer and volatile organic compound sensor on driving simulator
    Itoh, Toshio
    Sato, Toshihisa
    Akamatsu, Takafumi
    Shin, Woosuck
    JOURNAL OF BREATH RESEARCH, 2020, 14 (01)
  • [32] Selecting Signature Optical Emission Spectroscopy Variables Using Sparse Principal Component Analysis
    Ma, Beibei
    McLoone, Sean
    Ringwood, John
    Macgearailt, Niall
    2008 11TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY: ICCIT 2008, VOLS 1 AND 2, 2008, : 21 - +
  • [33] Reduction of Volatile Organic Compound Emission. I. Synthesis and Characterization of Alkoxy-Modified Silsesquioxane
    Hergenrother, William L.
    Lin, Chenchy J.
    Hilton, Ashley S.
    Hogan, Terrence E.
    Brumbaugh, Dennis R.
    JOURNAL OF APPLIED POLYMER SCIENCE, 2010, 115 (01) : 79 - 90
  • [34] Characterization of dynamic speckle sequences using principal component analysis and image descriptors
    Lopez-Alonso, Jose M.
    Grumel, Eduardo
    Cap, Nelly L.
    Trivi, Marcelo
    Rabal, Hector
    Alda, Javier
    OPTICS AND PHOTONICS FOR INFORMATION PROCESSING IX, 2015, 9598
  • [35] Erratum to: Classification of Korean Chrysanthemum species based on volatile compounds using cluster analysis and principal component analysis
    Su Jeong Kim
    Tae Joung Ha
    Jongyun Kim
    Dong Chil Chang
    Ki Sun Kim
    Journal of the Korean Society for Applied Biological Chemistry, 2015, 58 : 157 - 157
  • [36] Quince (Cydonia oblonga Miller) fruit characterization using principal component analysis
    Silva, BM
    Andrade, PB
    Martins, RC
    Valentao, P
    Ferreres, F
    Seabra, RM
    Ferreira, MA
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2005, 53 (01) : 111 - 122
  • [37] CHARACTERIZATION OF SOIL CHEMICAL PROPERTIES OF STRAWBERRY FIELDS USING PRINCIPAL COMPONENT ANALYSIS
    Islabao, Glaucia Oliveira
    Brito Pinto, Marilia Alves
    Roldao Selau, Lisiane Priscila
    Vahl, Ledemar Carlos
    Timm, Lus Carlos
    REVISTA BRASILEIRA DE CIENCIA DO SOLO, 2013, 37 (01): : 168 - 176
  • [38] Identifying sources of variation in horizontal stabilizer assembly using finite element analysis and principal component analysis
    Wang, Hua
    Ding, Xin
    ASSEMBLY AUTOMATION, 2013, 33 (01) : 86 - 96
  • [39] Hydrogeochemical Characterization of Groundwater in Jeju Island using Principal Component Analysis and Geostatistics
    Ko, Kyung-Seok
    Kim, Yongje
    Koh, Dong-Chan
    Lee, Kwang-Sik
    Lee, Seung-Gu
    Kang, Cheol-Hee
    Seong, Hyun-Jeong
    Park, Won-Bae
    ECONOMIC AND ENVIRONMENTAL GEOLOGY, 2005, 38 (04): : 435 - 450
  • [40] Using Volatile Organic Compound Analysis To Identify Virus-Infected Airway Cells
    Schivo, M.
    Aksenov, A. A.
    Linderholm, A.
    Pasamontes, A.
    Peirano, D. J.
    Harper, R. W.
    Davis, C. E.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2013, 187