Abstract

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.

Highlights

  • Mathematical modeling is an appropriate method for the assessment of this relationship, it is necessary to take into consideration that various types of errors occur during mathematical modeling:

  • The correlation between individual chemical elements was investigated in the instrumental neutron activation analysis (INAA) results

  • The results show that biomonitoring performed according to the principles of ICP Vegetation can be applied at a regional scale

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Summary

Introduction

A comparison of modeling results with real measured concentrations is required. The ADMOSS includes standard air pollution monitoring in the modeling process. It is essential to use alternative methods, including biomonitoring

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