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  • The important characteristic feature of environmental modelling is the complexity and uncertainty of its mathematical representation (uncertainty of formula). Imprecision of its input data is another characteristic feature, where it is not possible to omit influences of primary monitoring (e.g. gaps of data, errors of measuring facilities, human factor, etc). Many parameters in algorithms and their mathematical formulations are substituted by empirical constants in praxis, although it is well known that their values are very volatile and input data are not validated. Nowadays, information and communication technology (ICT) capabilities are growing rapidly and applied mathematical software (e.g. computer algebra systems, statistical packages, etc) becomes more powerful to overcome problems with formula complexity and uncertainty.
  • The important characteristic feature of environmental modelling is the complexity and uncertainty of its mathematical representation (uncertainty of formula). Imprecision of its input data is another characteristic feature, where it is not possible to omit influences of primary monitoring (e.g. gaps of data, errors of measuring facilities, human factor, etc). Many parameters in algorithms and their mathematical formulations are substituted by empirical constants in praxis, although it is well known that their values are very volatile and input data are not validated. Nowadays, information and communication technology (ICT) capabilities are growing rapidly and applied mathematical software (e.g. computer algebra systems, statistical packages, etc) becomes more powerful to overcome problems with formula complexity and uncertainty. (en)
Title
  • Current Trends in Environmental Modelling with Uncertainties
  • Current Trends in Environmental Modelling with Uncertainties (en)
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  • Current Trends in Environmental Modelling with Uncertainties
  • Current Trends in Environmental Modelling with Uncertainties (en)
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  • RIV/00216224:14110/06:00021687!RIV10-MSM-14110___
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  • 470186
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  • RIV/00216224:14110/06:00021687
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  • Modelling; Uncertainty analysis; Symbolic Algebraic Computation; Air pollution; Transport (en)
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  • [7BFEA223C3C1]
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  • Burlington, Vermont, USA
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  • Burlington
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  • Proceedings of the iEMSs Third Biennial Meeting %22Summit on Environmental Modelling&Software%22
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  • Holoubek, Ivan
  • Hřebíček, Jiří
  • Hejč, Michal
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number of pages
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  • International Environmental Modelling and Software Society
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  • 1-4243-0852-6
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  • 14110
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