Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91635
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Civil and Environmental Engineering | en_US |
dc.creator | Chen, HT | en_US |
dc.creator | Wang, WC | en_US |
dc.creator | Chau, KW | en_US |
dc.creator | Xu, L | en_US |
dc.creator | He, J | en_US |
dc.date.accessioned | 2021-11-23T06:06:51Z | - |
dc.date.available | 2021-11-23T06:06:51Z | - |
dc.identifier.issn | 0920-4741 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/91635 | - |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © The Author(s), under exclusive licence to Springer Nature B.V. 2021 | en_US |
dc.rights | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11269-021-03005-z. | en_US |
dc.subject | Flood control operation | en_US |
dc.subject | Reservoir group | en_US |
dc.subject | Swarm intelligence | en_US |
dc.subject | YYFA algorithm | en_US |
dc.subject | ε constrained method | en_US |
dc.title | Flood control operation of reservoir group using Yin-Yang Firefly Algorithm | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 5325 | en_US |
dc.identifier.epage | 5345 | en_US |
dc.identifier.volume | 35 | en_US |
dc.identifier.issue | 15 | en_US |
dc.identifier.doi | 10.1007/s11269-021-03005-z | en_US |
dcterms.abstract | Flood control operation (FCO) of a reservoir is a complex optimization problem with a large number of constraints. With the rapid development of optimization techniques in recent years, more and more research efforts have been devoted to optimizing FCO problems. However, for solving large-scale reservoir group optimization problem, this is still a challenging task. In this work, a reservoir group FCO model is established with minimum flood volume stored in each reservoir and minimum peak flow of downstream control point during the dispatch process. At the same time, a flood forecast model for FCO of a reservoir group is developed by coupling Yin-Yang firefly algorithm (YYFA) with ε constrained method. As a case study, the proposed model is applied to a three-reservoir flood control system in Luanhe River Basin consisting of reservoirs, river channels, and downstream control points. Results show that optimal operation of three reservoirs systems can efficiently reduce the occupied storage capacity for flood control and flood peaks at downstream control point of the basin. The proposed method can be extended to FCO of other reservoir groups with similar conditions. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Water resources management, Dec. 2021, v.35, no. 15, p. 5325-5345 | en_US |
dcterms.isPartOf | Water resources management | en_US |
dcterms.issued | 2021-12 | - |
dc.identifier.scopus | 2-s2.0-85117888969 | - |
dc.identifier.eissn | 1573-1650 | en_US |
dc.description.validate | 202111 bcvc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1056-n01 | - |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chen_Flood_Control_Operation.pdf | Pre-Published version | 1.53 MB | Adobe PDF | View/Open |
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