A Multi-criteria Decision-making Optimization Model for Flood Management in Reservoirs

Nematollahi, B; Nikoo, MR; Gandomi, AH; Talebbeydokhti, N; Rakhshandehroo, GR

A Multi-criteria Decision-making Optimization Model for Flood Management in Reservoirs

Nematollahi, B Nikoo, MR Gandomi, AH Talebbeydokhti, N Rakhshandehroo, GR

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Water Resources Management, 2022, 36, (13), pp. 4933-4949
Issue Date:: 2022-10-01

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Field	Value	Language
dc.contributor.author	Nematollahi, B
dc.contributor.author	Nikoo, MR
dc.contributor.author	Gandomi, AH
dc.contributor.author	Talebbeydokhti, N
dc.contributor.author	Rakhshandehroo, GR
dc.date.accessioned	2023-03-28T03:24:23Z
dc.date.available	2023-03-28T03:24:23Z
dc.date.issued	2022-10-01
dc.identifier.citation	Water Resources Management, 2022, 36, (13), pp. 4933-4949
dc.identifier.issn	0920-4741
dc.identifier.issn	1573-1650
dc.identifier.uri	http://hdl.handle.net/10453/168687
dc.description.abstract	Flood management in a reservoir-outlet system is a multi-criterion decision-making (MCDM) issue, in which preventing flood damage and flood overtopping, as well as fulfilling water demands, are often considered essential practices. However, although MCDM models can be used for flood control, there is a knowledge gap in hybrid modeling of the reservoirs and their outlets based on a coupled MCDM and optimization model during the flood. In this paper, an MCDM-optimization model was presented for reservoir systems' optimal designs in flood conditions based on a robust optimization technique, namely multi-objective particle swarm optimization (MOPSO), applying a powerful MCDM tool, so-called complex proportional assessment (COPRAS) for the first time in the literature, considering the weights generated by Shannon Entropy method. The objectives of this optimization model were defined based on the non-linear interval number programming (NINP) technique to optimize the orifice and triangular, rectangular, and proportional weirs specifications. This methodology was applied to a practical reservoir MCDM optimization problem in flood conditions to demonstrate its applicability and efficiency. Results indicated that the proposed framework could successfully and effectually provide the reservoirs and outlets with superior optimal design.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Water Resources Management
dc.relation.isbasedon	10.1007/s11269-022-03284-0
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Environmental Engineering
dc.title	A Multi-criteria Decision-making Optimization Model for Flood Management in Reservoirs
dc.type	Journal Article
utslib.citation.volume	36
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-08-13T00:00:00+1000Z
dc.date.updated	2023-03-28T03:24:22Z
pubs.issue	13
pubs.publication-status	Published
pubs.volume	36
utslib.citation.issue	13

Abstract:

Flood management in a reservoir-outlet system is a multi-criterion decision-making (MCDM) issue, in which preventing flood damage and flood overtopping, as well as fulfilling water demands, are often considered essential practices. However, although MCDM models can be used for flood control, there is a knowledge gap in hybrid modeling of the reservoirs and their outlets based on a coupled MCDM and optimization model during the flood. In this paper, an MCDM-optimization model was presented for reservoir systems' optimal designs in flood conditions based on a robust optimization technique, namely multi-objective particle swarm optimization (MOPSO), applying a powerful MCDM tool, so-called complex proportional assessment (COPRAS) for the first time in the literature, considering the weights generated by Shannon Entropy method. The objectives of this optimization model were defined based on the non-linear interval number programming (NINP) technique to optimize the orifice and triangular, rectangular, and proportional weirs specifications. This methodology was applied to a practical reservoir MCDM optimization problem in flood conditions to demonstrate its applicability and efficiency. Results indicated that the proposed framework could successfully and effectually provide the reservoirs and outlets with superior optimal design.

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http://hdl.handle.net/10453/168687