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Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard

dc.contributor.authorLindenschmidt, Karl-Erich
dc.date.accessioned2023-07-05T15:56:36Z
dc.date.available2023-07-05T15:56:36Z
dc.date.issued2023
dc.descriptionThis is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).en_US
dc.description.abstractIn the spring of 2020, the town of Fort McMurray, which lies on the banks of the Athabasca River, experienced an ice-jam flood event that was the most severe in approximately 60 years. In order to capture the severity of the event, a stochastic modelling approach, previously developed by the author for ice-jam flood forecasting, has been refined for ice-jam flood hazard and risk assessments and ice-jam mitigation feasibility studies, which is the subject of this paper. Scenarios of artificial breakage demonstrate the applicability of the revised modelling framework.en_US
dc.description.versionPeer Revieweden_US
dc.identifier.citationLindenschmidt, K.-E. (2023). Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard. Hydrology Research Vol 54 No 2, 149. doi: 10.2166/nh.2023.042en_US
dc.identifier.doi10.2166/nh.2023.042
dc.identifier.urihttps://hdl.handle.net/10388/14764
dc.language.isoenen_US
dc.publisherIWA Publishingen_US
dc.rightsAttribution 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/ca/*
dc.subjectAthabasca Riveren_US
dc.subjectFort McMurrayen_US
dc.subjectMonte-Carlo analysisen_US
dc.subjectice-jamen_US
dc.subjectriver ice modellingen_US
dc.subjectstochastic modellingen_US
dc.titleExtension and refinement of a stochastic modelling approach to assess ice-jam flood hazarden_US
dc.typeArticleen_US

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