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Original Articles

Elemental Analysis of Sub-Hourly Ambient Aerosol Collections

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Pages 205-218 | Received 01 Aug 2000, Accepted 01 Aug 2003, Published online: 17 Aug 2010

Figures & data

FIG. 1 Area map showing the sampling location in College Park, MD, and the locations of various sources of airborne particles. Major source concentrations are in South Baltimore to the Northeast, and Washington, DC, and Virginia to the Southwest. These include coal- and oil-(*)fired power plants, power plants with both coal- and oil-fired boilers (**), incinerators, a steel mill, and quarries.

FIG. 1 Area map showing the sampling location in College Park, MD, and the locations of various sources of airborne particles. Major source concentrations are in South Baltimore to the Northeast, and Washington, DC, and Virginia to the Southwest. These include coal- and oil-(*)fired power plants, power plants with both coal- and oil-fired boilers (**), incinerators, a steel mill, and quarries.

TABLE 1 Graphite furnace atomization parameters

TABLE 2 Instrument performance of SIMAA 6000 GFAAS

TABLE 3 Results for analyses of SRM 1643d, trace elements in water

TABLE 4 Results for analyses of SRM 1648, urban particulate matter

FIG. 2 (A) Thirty minute averages and standard deviations of temperature (closed circles) and relative humidity (open circles), (B) wind speed (open circles) and direction (filled circles), (C) mixing height, and (D) PM mass are shown for the three sampling periods. Urban dust constituents are clearly elevated during morning and evening traffic periods. Dust from nearby landscaping and well-drilling activities are also evident.

FIG. 2 (A) Thirty minute averages and standard deviations of temperature (closed circles) and relative humidity (open circles), (B) wind speed (open circles) and direction (filled circles), (C) mixing height, and (D) PM mass are shown for the three sampling periods. Urban dust constituents are clearly elevated during morning and evening traffic periods. Dust from nearby landscaping and well-drilling activities are also evident.
FIG. 2 (A) Thirty minute averages and standard deviations of temperature (closed circles) and relative humidity (open circles), (B) wind speed (open circles) and direction (filled circles), (C) mixing height, and (D) PM mass are shown for the three sampling periods. Urban dust constituents are clearly elevated during morning and evening traffic periods. Dust from nearby landscaping and well-drilling activities are also evident.

FIG. 3 Ambient aerosol concentrations measured in College Park, MD, on November 18, 19, and 22, 1999. Each point represents one 30 min collection period. Solid lines are 5 h averages of the 30 min samples. The solid lines in each of the plots are 5 h averages. High concentrations of Fe at 7:00 p.m. coincided with a running tour bus, parked 20 m from the sampling inlet.

FIG. 3 Ambient aerosol concentrations measured in College Park, MD, on November 18, 19, and 22, 1999. Each point represents one 30 min collection period. Solid lines are 5 h averages of the 30 min samples. The solid lines in each of the plots are 5 h averages. High concentrations of Fe at 7:00 p.m. coincided with a running tour bus, parked 20 m from the sampling inlet.
FIG. 3 Ambient aerosol concentrations measured in College Park, MD, on November 18, 19, and 22, 1999. Each point represents one 30 min collection period. Solid lines are 5 h averages of the 30 min samples. The solid lines in each of the plots are 5 h averages. High concentrations of Fe at 7:00 p.m. coincided with a running tour bus, parked 20 m from the sampling inlet.

TABLE 5 Ratios of elemental concentrations determined in samples and laboratory and system blanks

FIG. 4 Principle components analysis results for 30 min data set. Factors identified correspond to readily observed peaks in the concentration time series of source marker elements.

FIG. 4 Principle components analysis results for 30 min data set. Factors identified correspond to readily observed peaks in the concentration time series of source marker elements.

FIG. 5 Principle components analysis results for 2.5 h averaged data gives poorer resolution of sources. The oil-fired power plant and tour-bus factors resolved in the 30 min data are merged into a single factor, and Ni, the marker of oil combustion, is spread across all factors.

FIG. 5 Principle components analysis results for 2.5 h averaged data gives poorer resolution of sources. The oil-fired power plant and tour-bus factors resolved in the 30 min data are merged into a single factor, and Ni, the marker of oil combustion, is spread across all factors.

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