Detail publikace

Multicriterial analysis used for the optimisation of dike system management

DUCHAN, D. JULÍNEK, T. ŘÍHA, J.

Originální název

Multicriterial analysis used for the optimisation of dike system management

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Levees 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.

Klíčová slova

dike system management

Autoři

DUCHAN, D.; JULÍNEK, T.; ŘÍHA, J.

Vydáno

20. 5. 2022

Nakladatel

Chartered Institution of Water and Environmental Management and John Wiley & Sons

Místo

John Wiley & Sons Ltd and The Chartered Institution of Water and Environmental Management (CIWEM)

ISSN

1753-318X

Periodikum

J FLOOD RISK MANAG

Ročník

15

Číslo

2

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

15

Strany počet

15

URL

https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.12829

Plný text v Digitální knihovně

http://hdl.handle.net/11012/207505

BibTex

@article{BUT178230,
  author="David {Duchan} and Tomáš {Julínek} and Jaromír {Říha}",
  title="Multicriterial analysis used for the optimisation of dike system management",
  journal="J FLOOD RISK MANAG",
  year="2022",
  volume="15",
  number="2",
  pages="1--15",
  doi="10.1111/jfr3.12829",
  issn="1753-318X",
  url="https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.12829"
}