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Technical Paper

Spatial Factors Influencing Winter Primary Particle Sampling and Interpretation

Pages 3-15 | Published online: 27 Dec 2011

REFERENCES

  • 40 CFR Part 58, Appendix D. “Network Design for State and Local Air Monitoring Stations (SLAMS), National Air Monitoring Stations (NAMS), and Photochemical Assessment Monitoring Stations (PAMS)”; U.S. Code of Federal Regulations, Section 2.8, “Particulate Matter Design Criteria for SLAMS.” FR62:138, July 18, 1997.
  • Dolislager, L.; Motallebi, N. “Characterization of particulate matter in California.” Presented at the Air & Waste Management Association International Specialty Conference on PM25: A Fine Particle Standard, Long Beach, CA, January 1998.
  • The intercorrelation of optical and mass measurements, when collocated data are available, is strong and consistent. For example, the correlation coefficient between TEOM PM^ mass and nephelometer light scattering (Bscat) for all hourly measurements for December 1994 at Sacramento is 0.79.
  • By using only sites within the Central Valley, a reasonable degree of meteorological uniformity can be assumed for the sites regarding wind speeds, inversions, and other factors.
  • Chamber, N.; Pandas, S.; Answer, A. Analysis of Atmospheric Chemistry during 1995 Integrated Monitoring Study Final Report STI-997214-1791-FR; Prepared for San Joaquin Valleywide Air Pollution Study Agency; Sonoma Technology: Petaluma, CA, July 1998. The report comments on short-term nitrate variation in 3-hr samples: “Temperature and relative humidity variations have the largest relative effect on nitric acid in these winter conditions in the San Joaquin Valley. However, on an absolute basis the changes in nitric acid as well as nitrate, ammonia, and ammonium were small in all of the cases.”
  • The assumptions are that daytime traffic increases in city centers, increasing the daytime peaks, while the late evening peak, driven by residential wood combustion, increases in moderate density residential areas and is reduced in urban cores or outside populated areas.
  • Holzworth, G.C. Mixing Heights, Wind Speeds, and Potential for Urban Air Pollution throughout the Contiguous United States; U.S. Environmental Protection Agency, Office of Air Programs: Research Triangle Park, NC, January 1972.
  • For convenience in drawing these three-dimensional views, the transport coefficients were averaged over 10-km grid cells. This averaging understates the true near-sampler peak transport coefficient's value by a factor of about 103, so the graphs should be accepted only as visualizations of the data, and not taken literally. The inclusion contours are not significantly affected by this simplification.

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