抄録
Located about 110 km north of Bangkok, Saraburi Province is often afflicted by severe particulate pollution episodes during the winter season because more than 45 stone processing plants are concentrated in a zone of complex terrain of ca.25 sq. km. Therefore the government of Thailand has initiated a comprehensive plan to reduce by 80% the fugitive dust emission from the stone processing plants and mining sites. In this study an atmospheric dispersion model using terrain-fitting generalized coordinates is used to predict the ambient PM10 concentrations at various ground-level receptors. First, simulations are carried out using historical meteorological data to confirm the suitability of the model parameters and to grasp the situation before the implementation of dust control. Next the model is employed to predict the ambient PM10 after dust control implementation for various wind directions and speeds under stable and unstable atmospheric conditions. The simulation results reveal that, as the atmospheric condition becomes more stable (as the effective vertical dispersion coefficient decreases from 10 to 1m2s-1), the corresponding 24-hour average PM10 can increase up to 8 folds at some receptors. In either condition, the 24-hour PM10 does not exceed the air quality standard at any of the 11 receptors in a typical week.
