Due to rapid economic development in Taiwan, a large quantity of construction sand and gravel is needed to support domestic civil construction projects: However, a construction sand and gravel processing plant is often a major source of air pollution, due to its associated fugitive dust emission. To predict the amount of fugitive dust emitted from this kind of processing plant, a semiempirical model was developed in this study. This model was developed on the basis of the actual dust emission data (i.e., total suspended particulate, TSP) and four on-site operating parameters (i.e., wind speed (u), soil moisture (M), soil silt content (S), and number (N) of trucks) measured at a construction sand and gravel processing plant. On the basis of the on-site measured data and an SAS nonlinear regression prdg ram, the expression of this model is E = 0.11·u{sup}2.653·M{sup}(-1.875)·S{sup}0.060·N{sup}0.896, where E is the amount (kg/ ton) of dust emitted during the production of each ton of gravel and sand. This model can serve as a facile tool for predicting the fugitive dust emission from a construction sand and gravel processing plant.
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