Pešl, JanHřebíček, J.Ráček, J.2019-09-162019-09-162005https://dl.gi.de/handle/20.500.12116/27300The important characteristic feature of algorithms for environmental modelling is the complexity of their mathematical representation. If we do not want very rough results, it is not so easy to omit influences like weather, human factor, etc. Many parameters in algorithms and their mathematical formulations are in praxis substituted by empirical constants, although it is well known that their values are very volatile. The reason is not that the scientists do not see this variance, but they simply don't know how to introduce data uncertainty into the algorithm formulation of model or are afraid of the resulting formula complexity. In the second case, nowadays it's a good time to change it. As the information and communication technology capabilities are growing rapidly, also the software for scientists becomes strong mathematical power to overcome problems with formula complexity, specifically the computer algebra systems. As they introduced connectivity features, which were the domain of the general programming languages earlier, they can be used as full implementation tool including the practical data manipulation. This paper shows the current research of Masaryk University in Brno in the field of introducing uncertainty formulas into the algorithms solving biological and environmental mathematical models. Case study of air pollution caused by the transport will be presented.Text/Conference Paper