Verifikace výsledků matematického modelování znečišťování ovzduší modelem ADMOSS s využitím měření pomocí UAS a biomonitoringu

Abstract

The aim of this work was to verify the Analytical Dispersion Modelling Supercomputer System (ADMoSS), which is used for modelling of air pollution in large areas. The verification was performed using the results of two special monitoring methods. The first of them was a method of measuring air pollution by unmanned airship and the second one was biomonitoring of air pollution using bryophytes. The introductory part of the thesis is devoted to a theoretical analysis of air pollution, air quality monitoring using standard and special methods and mathematical modelling of air pollution. The second part is devoted to the description of ADMoSS modelling system. The following sections are devoted to a description of the methodology of the individual verification methods, interpretation and discussion of results. For the purposes of verification, selected flight measurements were carried out and evaluated in the Czech-Polish-Slovak border area and the results of biomonitoring were evaluated using bryophytes in the European Grouping of Territorial Cooperation (EGTC) Tritia. The results obtained were compared with the results of mathematical modelling of air pollution using the ADMoSS. The results show that flight measurements using an unmanned airship are suitable for capturing dynamic phenomena, but are not suitable for verifying of mathematical air pollution models describing the long-term situation in a large area. On the contrary, biomonitoring using bryophytes proved to be suitable for the verification of mathematical models of air pollution due to the ability of bryophytes to capture long-term deposition of pollutants and the resulting possibility of finding the real distribution of pollutants in the area as well as of identifying specific chemical elements whose distribution coincides with the mathematical model.

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Subject(s)

verification, mathematical model, air pollution, ADMoSS, monitoring, UAS, biomonitoring

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