Abstract
In Poland, as well as in the whole world, advanced pollution dispersion models are playing an increasingly important role, as they take into account the diversity of terrain relief and land use in calculations in the adopted computational grid. One of them is the CALPUFF modeling system, which is a multi-layered air pollution dispersion model simulating the impact of time-varying meteorological parameters on the transport of pollutants. U.S. Environmental Protection Agency (U.S. EPA), in their guidelines on air quality modeling, prefer using this model to assess the transport of pollutants over long distances [1]. This model is supported by a group of geophysical preprocessors preparing terrain information and meteorological preprocessors, as well as a meteorological processor CALMET [2, 3]. CALMET / CALPUFF software is being systematically developed and improved, as evidenced by the approval of the upgrade from version 5.8 to version 5.8.4 by the EPA on the 4
Highlights
The aim of this study is to identify widely-available optimal spatial data that can be used in the modeling process of pollutant dispersion in the air, conducted using the CALMET / CALPUFF model
The development of remote sensing and geoinformatics tools contributed to generating new data resources, which reflect the terrain and the manner of land use more accurately. These data are applied in calculating the dispersion of pollutants in the ambient air using the CALMET / CALPUFF model
The data of the GTOPO30 digital elevation model and the Global Land Cover Characterization (GLCC) land use have a global reach, and despite lower accuracy, they allow for modeling at a macro scale using a rare computational grid
Summary
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