In the models of atmospheric transport of pollutants, the roughness parameter, as a dynamic characteristic of the underlying surface, becomes important. The parameter of roughness directly affects the processes of deposition and retention of radioactive substances, and therefore the values of aerial contamination of vegetation in the acute phase of the accident and the contamination of the soil and the underlying surface for long-term forecasting of contamination plant and products. The paper analyzes and systematizes the empirical data on the roughness parameter obtained from different sources from 1960 to the present. In accordance with the features of the underlying surface of the territory of Ukraine, the data on the roughness parameter were selected and interpolated into cells of the regular network for different spatial scales. A statistical analysis of the assessment of the homogeneity of the underlying surface (roughness parameter) over the territory was carried out with the calculation in each grid cell of the percentage of the area of each class of the underlying surface that fell into the grid. The classification of the territory according to the percentage of uniformity of the underlying surface within the grid cell showed that for all classes in 63% of cases of the total number of cells adequate identification of the class of the underlying surface within the grid cell is provided to 100%.With the use of actual cartographic material and GIS technologies, roughness maps for 4 seasons of the year were built for the whole territory of Ukraine. Algorithms for estimating the roughness parameters at the local level for areas of influence zones of nuclear power plants and urbanized territories were proposed.
Keywords: roughness, underlying surface, classification, geoinformation analysis, mapping.
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