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Abstract
Other than volcanic activities, sulfur dioxide emission is common in various coal, oil, and gas industries. Sulfur dioxide has a great potential for long-range transport (beyond 500–1,000 km) and can create regional acid rains. Efficient modeling of SO2 dispersion process plays a crucial role in strategic environmental planning. A two-dimensional model is developed in this work to predict the SO2 emission under different meteorological conditions. Finite difference and orthogonal collocation techniques are used to solve the model partial differential equations. The simulation results show proper agreement with the results obtained from a commercial software (ISC-AERMOD) using the Industrial Source Complex Short Term model.
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