Abstract
Chemical binders have been demonstrated to be a cost-effective measure to prrevent fugitive dust. Fugitive dust is a typical air pollution source produced by construction activities. From the engineering application point of view, an approach using dimensionless analysis with a multivariable regression method based on total suspended particulate (TSP) experimental data is worth exploring to predict the prevention efficiencies of chemical binders. This paper examines four-month prevention efficiencies of chemical binders using a comprehensive empirical framework with auxiliary theoretical analysis. A series of field-analogous experiments was carried out to measure TSP using high volume air samples in an artificial wind tunnel system for three general chemical binders. The short-term prevention efficiency was affected primarily by wind velocity, mass concentration of the chemical binder, spray intensity, silt content, and prevention duration. Correlated with these primary parameters, a useful equation is proposed to estimate the short-term prevention efficiencies that would be valid under the appropriate conditions suggested by this work.
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