Geostatistical modelling of air pollution analysis
DOI:
https://doi.org/10.15587/1729-4061.2015.47889Keywords:
intellectual analysis, geostatistics, gravity model, atmospheric pollution, geographical information systemsAbstract
The problem of statistics-based monitoring of air pollutionis topical for modelling aided bythe tools of spatial analysis. We have suggested that the monitoring problems can be solved by means of geostatistical analysis methods that used to be applied in constructing continuum models of spatial distribution. We transferred from discrete statistical data to the geostatistical model through the gravity model that allows obtaining estimates on pollutants interaction.
Geostatistical calculations were based on the module created by the technology of the ESRI ArcGis companywith the use of the kriging method for calculating emission expansion. Comparison of the two kinds of geostatistical models shows that the method using the gravity model has identified large areas of Donetsk Region (Ukraine) with high levels of air pollution. Therefore, the methodology based on the geostatistical model with the use of the gravity model for the data transformation can be applied for identifying areas with high air pollution.
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Copyright (c) 2015 Віктор Валентинович Путренко, Володимир Олександрович Тихоход
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