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  • The paper presents the results of sensitivity and data uncertainty analyses of a box model simulating the fate of persistent organic pollutants in the environment. The model has 39 parameters which describe chemical and environmental properties. All of these parameters are influenced by uncertainties. Therefore we performed sensitivity analysis by the means of finite difference method and data uncertainty analysis using Spearman's rank correlation coefficients. The results show significant changes in solution which confirm the expectations that the concentrations of chemicals (and the model itself) are strongly dependent on several parameters, mainly temperature and rain density.
  • The paper presents the results of sensitivity and data uncertainty analyses of a box model simulating the fate of persistent organic pollutants in the environment. The model has 39 parameters which describe chemical and environmental properties. All of these parameters are influenced by uncertainties. Therefore we performed sensitivity analysis by the means of finite difference method and data uncertainty analysis using Spearman's rank correlation coefficients. The results show significant changes in solution which confirm the expectations that the concentrations of chemicals (and the model itself) are strongly dependent on several parameters, mainly temperature and rain density. (en)
Title
  • Sensitivity and Data Uncertainty Analysis of an Environmental Distribution Model
  • Sensitivity and Data Uncertainty Analysis of an Environmental Distribution Model (en)
skos:prefLabel
  • Sensitivity and Data Uncertainty Analysis of an Environmental Distribution Model
  • Sensitivity and Data Uncertainty Analysis of an Environmental Distribution Model (en)
skos:notation
  • RIV/00216224:14110/09:00035426!RIV10-MSM-14110___
http://linked.open...avai/riv/aktivita
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  • S, Z(MSM0021622412)
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  • 340799
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  • RIV/00216224:14110/09:00035426
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  • Modelling; Box model; Uncertainties; Sensitivity; ICT tools (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [167E192AB76B]
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  • Brno
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  • Brno
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  • Proceedings of the European conference of the Czech Presidency of the Council of the EU TOWARDS eENVIRONMENT. Opportunities of SEIS and SISE: Integrating Environmental Knowledge in Europe.
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  • Urbánek, Jaroslav
  • Komprda, Jiří
  • Kubošová, Klára
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • Masarykova univerzita
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  • 978-80-210-4824-9
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  • 14110
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