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    <titleInfo>
        <title>Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard</title>
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    <name type="personal">
        <namePart type="given">Karl‐Erich</namePart>
        <namePart type="family">Lindenschmidt</namePart>
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        <genre authority="marcgt">periodical</genre>
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    <abstract>Abstract In 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.</abstract>
    <identifier type="citekey">Lindenschmidt-2023-Extension</identifier>
    <identifier type="doi">10.2166/nh.2023.042</identifier>
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        <url>https://gwf-uwaterloo.github.io/gwf-publications/G23-43001</url>
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        <date>2023</date>
        <detail type="volume"><number>54</number></detail>
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%0 Journal Article
%T Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard
%A Lindenschmidt, Karl‐Erich
%J Hydrology Research, Volume 54, Issue 2
%D 2023
%V 54
%N 2
%I IWA Publishing
%F Lindenschmidt-2023-Extension
%X Abstract In 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.
%R 10.2166/nh.2023.042
%U https://gwf-uwaterloo.github.io/gwf-publications/G23-43001
%U https://doi.org/10.2166/nh.2023.042
%P 149-164

Markdown (Informal)

[Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard](https://gwf-uwaterloo.github.io/gwf-publications/G23-43001) (Lindenschmidt, GWF 2023)

• Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard (Lindenschmidt, GWF 2023)

ACL

• Karl‐Erich Lindenschmidt. 2023. Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard. Hydrology Research, Volume 54, Issue 2, 54(2):149–164.