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Gaussian dispersion modeling has implemented significant developments in the description of the planetary boundary layer characteristics along with research work, particularly on plume buoyancy and momentum, as well as airflow in complex terrain. Advanced Gaussian models show a remarkable performance in validation studies, providing sophisticated algorithms to take into account building downwash, deposition, chemical reactions, and so forth. This work aims to essentially validate the SYMOS model, currently referenced in the Czech Republic, and comparatively evaluate further modeling approaches applied to emissions from a stationary source in the suburban background of Prague. Sulfur dioxide was targeted as one of the criteria gaseous pollutants, relatively representing the sulfur content in the solid mineral fuel commonly used in local industrial facilities. Meteorological preprocessing, complex terrain, and plume rise were analyzed in-depth to determine the effect of the different algorithms in the estimation of ground-level concentrations. The obtained contour plots showed moderate similarities between SYMOS and the advanced models ADMS and AERMOD, but largely overestimated the concentrations when plume rise was considered. The descriptive statistical analysis revealed ADMS tended to predict higher hourly peak concentrations, while AERMOD estimated higher annual averages, attributed to differences in meteorological conditions and dispersion algorithms. Moreover, surface roughness was identified as a critical factor in the calculation of concentrations in complex terrain. Extensive assessment and validation of SYMOS algorithms are essential to investigate a different approach to characterize atmospheric stability and thermal lift. [ABSTRACT FROM AUTHOR]