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AIR QUALITY DATA ANALYSIS SYSTEM FOR INTERRELATING EFFECTS, STANDARDS, AND NEEDED SOURCE REDUCTIONS. PART 9. CALCULATING EFFECTIVE AMBIENT AIR QUALITY PARAMETERS
Citation:
Larsen, R. AND W. Heck. AIR QUALITY DATA ANALYSIS SYSTEM FOR INTERRELATING EFFECTS, STANDARDS, AND NEEDED SOURCE REDUCTIONS. PART 9. CALCULATING EFFECTIVE AMBIENT AIR QUALITY PARAMETERS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/J-85/484 (NTIS PB87195376).
Description:
Ambient air quality data can often be characterized by the two characteristic parameters of the lognormal distribution, the geometric mean, and the standard geometric deviation, but some ambient data are far from lognormal. The paper suggests that even though an air quality data set is not lognormal, the effects of the concentrations can be characterized with an effective geometric mean and an effective standard geometric deviation calculated from the effective and arithmetic means. These two effective parameters can be used to characterize air quality at a site, in terms of its expected effects on plants, and to compare these parameters and the expected plant effects from site to site. (Copyright (c) 1985--Air Pollution Control Association.)