Engineering approaches to address erros in measured and predicted particulate matter concentrations

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Title: Engineering approaches to address erros in measured and predicted particulate matter concentrations
Author: Wanjura, John David
Abstract: Some of the air pollution regulations in the United States are based on an application of the National Ambient Air Quality Standards at the property line . Agricultural operations such as cotton gins , feed mills , and cattle feed yards may be inappropriately regulated by such regulations if the current methods of measuring and predicting the concentrations of regulated pollutants are used . The regulated particulate matter pollutants are those with aerodynamic equivalent diameters less than or equal to a nominal 10 and 2 .5 micrometers (PM10 and PM2 .5 ) respectively . The current Federal Reference Method PM10 and PM2 .5 samplers exhibit oversampling errors when sampling dusts with particle size distributions similar to those of agricultural sources . These errors are due to the interaction of the performance characteristics of the sampler with the particle size distribution of the dust being sampled . The results of this work demonstrate the development of a new sampler that may be used to accurately sample total suspended particulate (TSP ) concentrations . The particle size distribution of TSP samples can be obtained and used to more accurately determine PM10 and PM2 .5 concentrations . The results of this work indicate that accurate measures of TSP can be taken on a low volume basis . This work also shows that the low volume samplers provide advantages in maintaining more consistent sampling flow rates , and more robust measurements of TSP concentrations in high dust concentrations . The EPA approved dispersion model most commonly used to estimate concentrations downwind from a stationary source is the Industrial Source Complex Short Term version 3 (ISCST3 ) . ISCST3 is known to over -predict downwind concentrations from low level point sources . The results of this research show that the magnitude of these errors could be as much as 250 % . A new approach to correcting these errors using the power law with P values as a function of stability class and downwind distance is demonstrated . Correcting the results of ISCST3 using this new approach results in an average estimated concentration reduction factor of 2 .3 .
URI: http : / /hdl .handle .net /1969 .1 /3992
Date: 2006-08-16

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Engineering approaches to address erros in measured and predicted particulate matter concentrations. Available electronically from http : / /hdl .handle .net /1969 .1 /3992 .

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