Comparison of the Air Pollution Mathematical Model of PM10 and Moss Biomonitoring Results in the Tritia Region
| Autor: | Petr Jančík, Aneta Svozilíková Krakovská, Vladislav Svozilík, Jan Bitta |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Pollution
Atmospheric Science 010504 meteorology & atmospheric sciences analysis air media_common.quotation_subject Air pollution 010501 environmental sciences Environmental Science (miscellaneous) medicine.disease_cause 01 natural sciences moss bryophytes Meteorology. Climatology Biomonitoring medicine pollution mathematical 0105 earth and related environmental sciences media_common Pollutant biology Mathematical model Environmental engineering modeling Atmospheric dispersion modeling biology.organism_classification Moss Deposition (aerosol physics) comparison correlation biomonitoring Environmental science QC851-999 |
| Zdroj: | Atmosphere, Vol 12, Iss 656, p 656 (2021) Atmosphere Volume 12 Issue 6 |
| ISSN: | 2073-4433 |
| Popis: | Knowing the relationship between pollution sources and air pollution concentrations is crucial. Mathematical modeling is a suitable method for the assessment of this relationship. The aim of this research was to compare the results of the Analytical Dispersion Modelling Supercomputer System (ADMOSS), which is used for air pollution modeling in large areas, with the results of moss biomonitoring. For comparison purposes, air pollution mathematical modeling and the collection of moss samples for biomonitoring in the Czech-Polish-Slovak border area in the European Grouping of Territorial Cooperation (EGTC) Tritia were carried out. Moss samples were analyzed by multi-element instrumental neutron activation analysis (INAA). The INAA results were statistically processed using the correlation-matrix-based hierarchical clustering and correlation analysis of the biomonitoring results and ADMOSS results. Biomonitoring using bryophytes proved to be suitable for the verification of mathematical models of air pollution due to the ability of bryophytes to capture the long-term deposition of pollutants and the resulting possibility of finding the real distribution of pollutants in the area, as well as identify the specific chemical elements, the distribution of which coincides with the mathematical model. Web of Science 12 6 art. no. 656 |
| Databáze: | OpenAIRE |
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