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dc.contributor.authorDelpasand, M
dc.contributor.authorFallah-Mehdipour, E
dc.contributor.authorAzizipour, M
dc.contributor.authorJalali, M
dc.contributor.authorSafavi, HR
dc.contributor.authorSaghafian, B
dc.contributor.authorLoáiciga, HA
dc.contributor.authorBabel, MS
dc.contributor.authorSavic, D
dc.contributor.authorBozorg-Haddad, O
dc.date.accessioned2021-10-28T13:23:14Z
dc.date.issued2021-01-07
dc.description.abstractFloods have various impacts, including loss of life and damage to property. Flood- management reservoirs can help mitigate floods, but their operation can also worsen flood impacts. This paper presents a novel forensic engineering approach to assess the role of reservoir operation on flood control. Fourteen criteria are employed for assessing forecast-based prereleases of water from reservoir storage to reduce the impact of flooding. The proposed approach is applied for forensic assessment of the system performance of reservoirs during the large flood of 2019 in southwestern Iran (the Great Karun Basin). The two main study areas are in the sub-basins of Karun and Dez. Results concerning two key performance criteria (the peak discharge reduction (PDR) and flood volume reduction (FVR)) show the PDR criterion in the Karun sub-basin multi-reservoir system reached about 79% (where 100% is the theoretically best performance) under historic operations (actual operating conditions in 2019), and improved from 8 to 19% if various prerelease operations were made. The FVR achieved about 33% in the historical situation and improved from 20 to 59% under prerelease operations scenarios, respectively. The PDR criterion achieved 26% under the historical scenario, but with better operation could exceed 55% in the Dez sub-basin multi-reservoir system, whereas FVR was as low as 11% in 2019 but could be raised to between 15 and 25% under prerelease operations. This forensic work's assessments establish that improved reservoir operation could be achieved by applying specialized operation approaches.en_GB
dc.description.sponsorshipIran National Science Foundation (INSF)en_GB
dc.identifier.citationVol. 594, article 125961en_GB
dc.identifier.doi10.1016/j.jhydrol.2021.125961
dc.identifier.urihttp://hdl.handle.net/10871/127606
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights.embargoreasonUnder embargo until 7 January 2022 in compliance with publisher policyen_GB
dc.rights© 2021 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectForensic engineeringen_GB
dc.subjectFlood eventsen_GB
dc.subjectReservoirsen_GB
dc.subjectFlood Criteriaen_GB
dc.subjectFlood managementen_GB
dc.titleForensic engineering analysis applied to flood controlen_GB
dc.typeArticleen_GB
dc.date.available2021-10-28T13:23:14Z
dc.identifier.issn0022-1694
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recorden_GB
dc.identifier.journalJournal of Hydrologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dcterms.dateAccepted2020-12-31
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2021-01-07
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-10-28T13:20:53Z
refterms.versionFCDAM
refterms.panelBen_GB


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© 2021 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2021 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/