A Statistical Model for Titanium Pollution Transport and Dispersion in the Atmosphere of St. Louis

Scott W. Rheingrover Department of Oceanography, Florida State University, Tallahassee 32306

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Abstract

Multiple-regression analysis techniques are applied to gain insights into the influence meteorological variables have in the transport and dispersion of stack particulate titanium pollution on the urban scale. Meteorological variables utilized in the analysis procedure are wind direction, categorized into sectors, wind speed, low-level vertical temperature gradient, and the standard deviation of the horizontal wind direction fluctuations. Physical interpretations of the associations found in the St. Louis urban setting between titanium concentrations and the derived meteorological variables corroborate present theoretical understanding of stack plume dispersion characteristics.

Abstract

Multiple-regression analysis techniques are applied to gain insights into the influence meteorological variables have in the transport and dispersion of stack particulate titanium pollution on the urban scale. Meteorological variables utilized in the analysis procedure are wind direction, categorized into sectors, wind speed, low-level vertical temperature gradient, and the standard deviation of the horizontal wind direction fluctuations. Physical interpretations of the associations found in the St. Louis urban setting between titanium concentrations and the derived meteorological variables corroborate present theoretical understanding of stack plume dispersion characteristics.

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