Inherent biases of PM10 and PM2.5 samplers based on the interaction of particle size and sampler performance characteristics
2001
Buser, M.D. | Parnell, C.B. | Lacey, R.E. | Shaw, B.W. | Auvermann, B.W.
Agricultural operations across the United States are encountering difficulties in complying with the current air pollution regulations for particulate matter. EPA has interpreted that the property line concentration limit must be less than the National Ambient Air Quality Standards (NAAQS). For PM10 and PM2.5, the 24-hour NAAQS are 150 and 65 mg/m3, respectively. Compliance with the PM NAAQS is determined by property line sampling, using EPA approved samplers, or dispersion modeling. Ultimately, these samplers would produce an accurate measure of the pollutant indicator for instance, a PM10 sampler would produce an accurate measure of PM less than or equal to 10 mm. However, samplers are not perfect and biases are introduced due to the interaction of the particle size and sampler performance characteristics. The focus of this manuscript is to theoretically simulate these biases and demonstrate how these biases result in unequal regulation between industries.
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