Environmental Modelling with Uncertainty

HŘEBÍČEK, Jiří a Michal HEJČ. Environmental Modelling with Uncertainty. In 20th International Conference on Informatics for Environmental Protection. Managing Environmental Knowledge. Austria: Shaker Verlag, 2006, s. 215-222, 6 s. ISBN 3-8322-5321-1.

Základní údaje

• Originální název: Environmental Modelling with Uncertainty
• Název česky: Environmentální modelování s neurčitostmi
• Autoři: HŘEBÍČEK, Jiří (203 Česká republika, garant) a Michal HEJČ (203 Česká republika).
• Vydání: Austria, 20th International Conference on Informatics for Environmental Protection. Managing Environmental Knowledge, od s. 215-222, 6 s. 2006.
• Nakladatel: Shaker Verlag

Další údaje

• Originální jazyk: angličtina
• Typ výsledku: Stať ve sborníku
• Obor: 10201 Computer sciences, information science, bioinformatics
• Stát vydavatele: Rakousko
• Utajení: není předmětem státního či obchodního tajemství
• Kód RIV: RIV/00216224:14110/06:00021698
• Organizační jednotka: Lékařská fakulta
• ISBN: 3-8322-5321-1
• Klíčová slova anglicky: Environmental modelling; Uncertainty; Maple; Computer Algebra Systems
• Štítky: computer algebra systems, environmental modelling, Maple, uncertainty
• Příznaky: Mezinárodní význam, Recenzováno

Anotace

The characteristic feature of current 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). 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 basic methods how to deal with the data uncertainties are well known and standardized from the last century, but some of their comparisons and recommendations for environmental modelling are not known enough. Paper presents generalized approach and shows universal methodology how to use computer algebra based systems (CAS) for the implementation of mathematical models with formula and data uncertainties. The Checkland soft system methodology is modified for its use by CAS in environmental mod-elling with uncertainty. Various approaches for solving uncertainty with the computer algebra system Maple are presented.

Anotace česky

The characteristic feature of current 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). 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 basic methods how to deal with the data uncertainties are well known and standardized from the last century, but some of their comparisons and recommendations for environmental modelling are not known enough. Paper presents generalized approach and shows universal methodology how to use computer algebra based systems (CAS) for the implementation of mathematical models with formula and data uncertainties. The Checkland soft system methodology is modified for its use by CAS in environmental mod-elling with uncertainty. Various approaches for solving uncertainty with the computer algebra system Maple are presented.

Návaznosti

• MSM0021622419, záměr: Název: Vysoce paralelní a distribuované výpočetní systémy

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Vysoce paralelní a distribuované výpočetní systémy