Environmental Modelling with Uncertainty

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

Basic information

• Original name: Environmental Modelling with Uncertainty
• Name in Czech: Environmentální modelování s neurčitostmi
• Authors: HŘEBÍČEK, Jiří (203 Czech Republic, guarantor) and Michal HEJČ (203 Czech Republic).
• Edition: Austria, 20th International Conference on Informatics for Environmental Protection. Managing Environmental Knowledge, p. 215-222, 6 pp. 2006.
• Publisher: Shaker Verlag

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Austria
• Confidentiality degree: is not subject to a state or trade secret
• RIV identification code: RIV/00216224:14110/06:00021698
• Organization unit: Faculty of Medicine
• ISBN: 3-8322-5321-1
• Keywords in English: Environmental modelling; Uncertainty; Maple; Computer Algebra Systems
• Tags: computer algebra systems, environmental modelling, Maple, uncertainty
• Tags: International impact, Reviewed

Abstract

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.

Abstract (in Czech)

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.

Links

• MSM0021622419, plan (intention): Name: Vysoce paralelní a distribuované výpočetní systémy

Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems