Multicriterial analysis used for the optimisation of dike system management

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dc.contributor.authorDuchan, Davidcs
dc.contributor.authorJulínek, Tomášcs
dc.contributor.authorŘíha, Jaromírcs
dc.coverage.issue2cs
dc.coverage.volume15cs
dc.date.issued2022-05-20cs
dc.description.abstractLevees are the most frequently used flood protection measure worldwide. In central Europe, they have been built systematically since the beginning of the 19th century. After the extreme regional floods in 1997, 2002 and 2013, the need arose for a more systematic and optimised approach to levee design and management, including the decommissioning of ineffective dike reaches. In this paper, a multicriterial algorithm is presented for the optimisation of levee management. The aspects considered are flood risk, economy, technical conditions, environmental issues and the consistency with general documents and principles in water management. The method is demonstrated via a case study of a levee subsystem in the upper Morava River basin.en
dc.description.abstractLevees are the most frequently used flood protection measure worldwide. In central Europe, they have been built systematically since the beginning of the 19th century. After the extreme regional floods in 1997, 2002 and 2013, the need arose for a more systematic and optimised approach to levee design and management, including the decommissioning of ineffective dike reaches. In this paper, a multicriterial algorithm is presented for the optimisation of levee management. The aspects considered are flood risk, economy, technical conditions, environmental issues and the consistency with general documents and principles in water management. The method is demonstrated via a case study of a levee subsystem in the upper Morava River basin.en
dc.formattextcs
dc.format.extent1-15cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationJournal of Flood Risk Management. 2022, vol. 15, issue 2, p. 1-15.en
dc.identifier.doi10.1111/jfr3.12829cs
dc.identifier.issn1753-318Xcs
dc.identifier.orcid0000-0003-1303-8385cs
dc.identifier.orcid0000-0003-3798-4667cs
dc.identifier.orcid0000-0002-1362-5769cs
dc.identifier.other178230cs
dc.identifier.researcheridAAX-1139-2020cs
dc.identifier.researcheridAAX-3580-2020cs
dc.identifier.researcheridAAY-4760-2020cs
dc.identifier.scopus57191891566cs
dc.identifier.scopus57193575657cs
dc.identifier.scopus25823496100cs
dc.identifier.urihttp://hdl.handle.net/11012/207505
dc.language.isoencs
dc.publisherChartered Institution of Water and Environmental Management and John Wiley & Sonscs
dc.relation.ispartofJournal of Flood Risk Managementcs
dc.relation.urihttps://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.12829cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1753-318X/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectdike system managementen
dc.subjectdike system management
dc.titleMulticriterial analysis used for the optimisation of dike system managementen
dc.title.alternativeMulticriterial analysis used for the optimisation of dike system managementen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-178230en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:46:19en
sync.item.modts2025.10.14 10:29:35en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav vodních stavebcs
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