Estimating Impacts of Environmental Interventions in Monitoring
Programs Requires Conceptual Data Models and Robust Statistical
Processing

D 2013

Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing

DUŠEK, Ladislav, Jana KLÁNOVÁ, Jiří JARKOVSKÝ, Jakub GREGOR, Richard HŮLEK et. al.

Basic information

Original name

Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing

Name in Czech

Odhadnutí dopadů environmentálních intervencí do monitorovacích programů vyžaduje koncepční datové modely a robustní statistické zpracování

Authors

DUŠEK, Ladislav (203 Czech Republic, guarantor, belonging to the institution), Jana KLÁNOVÁ (203 Czech Republic, belonging to the institution), Jiří JARKOVSKÝ (203 Czech Republic, belonging to the institution), Jakub GREGOR (203 Czech Republic, belonging to the institution), Richard HŮLEK (203 Czech Republic, belonging to the institution), Ivan HOLOUBEK (203 Czech Republic, belonging to the institution) and Jiří HŘEBÍČEK (203 Czech Republic, belonging to the institution)

Edition

Heidelberg, Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413, p. 204-221, 18 pp. 2013

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Austria

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14310/13:00065522

Organization unit

Faculty of Science

ISBN

978-3-642-41150-2

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-41151-9_20

UT WoS

000345503900020

Keywords (in Czech)

environmentální modelování, persistentní organické polutanty, datový model, datové standardy, statistika

Keywords in English

environmental monitoring; persistent organic pollutants; data model; data standards; statistics

Abstract

ORIG CZ

V originále

This paper discusses main problems associated with evaluation of performance and impact of long-term environmental programs. Lack of data standards, incompleteness of archived datasets and insufficient statistical power were identified as main limits in functionality of monitoring networks. To avoid these failures, environmental programs should be designed with inception to incorporate data management as their integral part. Especially in global programs, local and regional data managers should invest significant proportion of their effort to handle documentation in terms of standardized coding, data formats, metadata coding and consistency of records over time. Up-to-date trends in building knowledge-based infrastructures are illustrated using example of monitoring of atmospheric pollution by persistent organic pollutants (POPs). Conceptual model usable to facilitate the integration and analysis of data on POPs concentrations is introduced with its multilayer hierarchy of entities (POPs as nomenclature classes, couples “observation – measurement” as content classes). Robust set of statistical methods for processing of time series of concentration data is discussed from the viewpoint of practical implementation within running monitoring programs. It consists of the following components: baseline pollution estimates, uncertainty analyses, spatial extrapolations, effect size estimates, time trend identification and quantification. Development of tools supporting standardized environmental data management is rapidly expanding field of science which results in the following challenges for applied informatics and statistics: log-term sustainability of information systems, data-related metadata coding and archiving, tools for automated integration and reporting of data.

In Czech

Příspěvek se zabývá hlavními problémy vyhodnocení dopadu dlouhodobých environmentálních monitorovacích programů. Hlavními omezujícími faktory funkčnosti programů byly identifikovány nedostatek datových standardů, neúplnost databází a nedostatečná základna pro statisticky signifikantní vyhodnocení. Těmto problémům lze předcházet zohledněním požadavků datovémo managementu přímo ve fázi návrhu jako nedílné části environmentálních programů.

Links

ED0001/01/01, research and development project

Name: CETOCOEN

Citovat

DUŠEK, Ladislav, Jana KLÁNOVÁ, Jiří JARKOVSKÝ, Jakub GREGOR, Richard HŮLEK, Ivan HOLOUBEK and Jiří HŘEBÍČEK. Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing. In Jiří Hřebíček, Gerald Schimak, Miroslav Kubásek, Andrea E. Rizzoli. Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413. Heidelberg: Springer, 2013, p. 204-221. ISBN 978-3-642-41150-2. Available from: https://dx.doi.org/10.1007/978-3-642-41151-9_20.

@inproceedings{1123368,
   author = {Dušek, Ladislav and Klánová, Jana and Jarkovský, Jiří and Gregor, Jakub and Hůlek, Richard and Holoubek, Ivan and Hřebíček, Jiří},
   address = {Heidelberg},
   booktitle = {Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413},
   doi = {http://dx.doi.org/10.1007/978-3-642-41151-9_20},
   editor = {Jiří Hřebíček, Gerald Schimak, Miroslav Kubásek, Andrea E. Rizzoli},
   keywords = {environmental monitoring; persistent organic pollutants; data model; data standards; statistics},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Heidelberg},
   isbn = {978-3-642-41150-2},
   pages = {204-221},
   publisher = {Springer},
   title = {Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing},
   year = {2013}
}

TY  - JOUR
ID  - 1123368
AU  - Dušek, Ladislav - Klánová, Jana - Jarkovský, Jiří - Gregor, Jakub - Hůlek, Richard - Holoubek, Ivan - Hřebíček, Jiří
PY  - 2013
TI  - Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing
PB  - Springer
CY  - Heidelberg
SN  - 9783642411502
KW  - environmental monitoring
KW  - persistent organic pollutants
KW  - data model
KW  - data standards
KW  - statistics
N2  - This paper discusses main problems associated with evaluation of performance and impact of long-term environmental programs. Lack of data standards, incompleteness of archived datasets and insufficient statistical power were identified as main limits in functionality of monitoring networks. To avoid these failures, environmental programs should be designed with inception to incorporate data management as their integral part. Especially in global programs, local and regional data managers should invest significant proportion of their effort to handle documentation in terms of standardized coding, data formats, metadata coding and consistency of records over time. Up-to-date trends in building knowledge-based infrastructures are illustrated using example of monitoring of atmospheric pollution by persistent organic pollutants (POPs). Conceptual model usable to facilitate the integration and analysis of data on POPs concentrations is introduced with its multilayer hierarchy of entities (POPs as nomenclature classes, couples “observation – measurement” as content classes). Robust set of statistical methods for processing of time series of concentration data is discussed from the viewpoint of practical implementation within running monitoring programs. It consists of the following components: baseline pollution estimates, uncertainty analyses, spatial extrapolations, effect size estimates, time trend identification and quantification. Development of tools supporting standardized environmental data management is rapidly expanding field of science which results in the following challenges for applied informatics and statistics: log-term sustainability of information systems, data-related metadata coding and archiving, tools for automated integration and reporting of data.
ER  -

DUŠEK, Ladislav, Jana KLÁNOVÁ, Jiří JARKOVSKÝ, Jakub GREGOR, Richard HŮLEK, Ivan HOLOUBEK and Jiří HŘEBÍČEK. Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing. In Jiří Hřebíček, Gerald Schimak, Miroslav Kubásek, Andrea E. Rizzoli. \textit{Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413}. Heidelberg: Springer, 2013, p.~204-221. ISBN~978-3-642-41150-2. Available from: https://dx.doi.org/10.1007/978-3-642-41151-9\_{}20.

Detailed Information on Publication Record