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The Influence of the Empirical Parameters to the Emission Model

dc.contributor.authorPešl, Jan
dc.contributor.editorHřebíček, J.
dc.contributor.editorRáček, J.
dc.date.accessioned2019-09-16T09:34:33Z
dc.date.available2019-09-16T09:34:33Z
dc.date.issued2005
dc.description.abstractThe 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.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol112/0677.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/27300
dc.publisherMasaryk University Brno
dc.relation.ispartofInformatics for Environmental Protection - Networking Environmental Information
dc.relation.ispartofseriesEnviroInfo
dc.titleThe Influence of the Empirical Parameters to the Emission Modelde
dc.typeText/Conference Paper
gi.citation.publisherPlaceBrno
gi.conference.date2005
gi.conference.locationBrno
gi.conference.sessiontitleModelling, simulation and computing

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