D 2006

Current Trends in Environmental Modelling with Uncertainties

HŘEBÍČEK, Jiří, Michal HEJČ and Ivan HOLOUBEK

Basic information

Original name

Current Trends in Environmental Modelling with Uncertainties

Name in Czech

Současné trendy v environmentálním modelování s neurčitostmi

Authors

HŘEBÍČEK, Jiří (203 Czech Republic, guarantor), Michal HEJČ (203 Czech Republic) and Ivan HOLOUBEK (203 Czech Republic)

Edition

Burlington, Proceedings of the iEMSs Third Biennial Meeting "Summit on Environmental Modelling&Software" p. 342-347, 2006

Publisher

International Environmental Modelling and Software Society

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14110/06:00021687

Organization unit

Faculty of Medicine

ISBN

1-4243-0852-6

Keywords in English

Modelling; Uncertainty analysis; Symbolic Algebraic Computation; Air pollution; Transport

Tags

International impact, Reviewed
Změněno: 16/2/2007 08:43, prof. RNDr. Jiří Hřebíček, CSc.

Abstract

V originále

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 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 current ICT tools for the implementation of mathematical models with formula and data uncertainties.

In Czech

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 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 current ICT tools for the implementation of mathematical models with formula and data uncertainties.

Links

MSM0021622412, plan (intention)
Name: Interakce mezi chemickými látkami, prostředím a biologickými systémy a jejich důsledky na globální, regionální a lokální úrovni (INCHEMBIOL) (Acronym: INCHEMBIOL)
Investor: Ministry of Education, Youth and Sports of the CR, Interactions among the chemicals, environment and biological systems and their consequences on the global, regional and local scales (INCHEMBIOL)