Abstract
Increase in grid resolution in atmospheric non-steady-state dispersion models induces a more faithful reflection of the area surface, and thus contributes to more detailed and diversified calculation results but also significantly prolongs the calculation time. This paper presents the influence of horizontal grid resolution in the CALMET/CALPUFF modeling system on the results of air quality impact assessment in a local scale carried out for the Municipal Solid Waste Incineration (MSWI) Plant in Krakow using the maximum permissible emission of NOx. Subject to comparative analysis were four grids of the following resolutions: 100, 250, 500 and 1000 m. A direct intercomparison of air concentrations was made for 676 discrete receptors with the use of statistical indicators. On the basis of the calculations and analyses, it has been stated that, depending on the regular grid spacing, some differences in calculated concentrations can occur affecting the results of the air quality impact assessment. The highest concentrations in all computational receptors present in the given case were obtained for 100 m grid spacing. When compared to a grid of 100 m, the relatively smallest discrepancies were obtained for a grid of 250 m, with an already significantly shortened calculation time.
Highlights
The intense development in the remote sensing measurement techniques has contributed to establishing many spatial databases containing information on the terrain elevation and land cover, among others
Because the CALMET/CALPUFF modeling system is characterized by a good correlation between results and observations when using high-resolution grids, it is advised to recognize the impact of the changes in grid spacing on the results of calculations, as well as identify the resolution recommended for the purposes of the air quality impact assessment especially in the case of more complex terrain and land cover
This paper presents an assessment of the impact of the horizontal grid resolution in the models the results dispersion modeling in a localinscale
Summary
The intense development in the remote sensing measurement techniques has contributed to establishing many spatial databases containing information on the terrain elevation and land cover, among others. The assessment of many dispersion models, conducted by Rood [39], at distances of 8 and 16 km from the emission source, showed that the CALPUFF model is characterized by a smaller error and a better correlation of the results than the stationary Gaussian slug models in the near field range area (
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