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    <titleInfo>
        <title>Statistical modeling of ice cover impact on flow conveyance in the Nelson River West Channel</title>
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    <name type="personal">
        <namePart type="given">Hamid</namePart>
        <namePart type="family">Gozini</namePart>
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    <name type="personal">
        <namePart type="given">Samantha</namePart>
        <namePart type="given">M</namePart>
        <namePart type="family">Wilson</namePart>
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    <name type="personal">
        <namePart type="given">Masoud</namePart>
        <namePart type="family">Asadzadeh</namePart>
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    <name type="personal">
        <namePart type="given">Kevin</namePart>
        <namePart type="family">Lees</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <abstract>For cold regions, an ice cover reduces channel conveyance and hydroelectricity generation potential. Therefore, predicting the impact of ice cover on a river-reservoir system is of critical importance for hydro producers. Ice impact can be described using historical records, where typical conditions are characterized by a daily median ice factor (IF) curve. The daily median IF curve works well only for past years with typical climatic conditions. Moreover, the median curve would not respond to climate-induced changes in the ice cover. In this research, a novel statistical (ST) model, named ST-IF, is developed to simulate the impact of river ice on the conveyance of the Nelson River West Channel (NRWC) as a function of daily air temperature. ST-IF uses a series of statistically based functions, including regression and threshold functions to estimate different characteristics of IF, such as its initial and peak values, and its daily distribution during ice-on period. Model performance was evaluated against historical records and the daily median value of the ice cover impact. Results showed that ST-IF significantly improved the simulation of each year-specific IF curve in NRWC compared to the daily median curve. Moreover, the model was used to predict the impact of ice cover under future climate conditions using 19 climate simulations. Results showed that, due to the predicted warmer future, ice cover is expected to take longer to fully form. This leads to longer Ice Stabilization Program duration, higher program implementation cost, and potential additional downstream stakeholder impacts. In addition, earlier ice impact peak date, shorter ice impact duration, and lower ice impact magnitude leading to overall higher winter hydroelectricity generation potential for Manitoba Hydro are expected in the future. Such future alterations intensify from near to far future time periods.</abstract>
    <identifier type="citekey">Gozini-2023-Statistical</identifier>
    <identifier type="doi">10.1080/07011784.2023.2218328</identifier>
    <location>
        <url>https://gwf-uwaterloo.github.io/gwf-publications/G23-31001</url>
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    <part>
        <date>2023</date>
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            <start>1</start>
            <end>21</end>
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%0 Journal Article
%T Statistical modeling of ice cover impact on flow conveyance in the Nelson River West Channel
%A Gozini, Hamid
%A Wilson, Samantha M.
%A Asadzadeh, Masoud
%A Lees, Kevin
%A Kim, S. J.
%J Canadian Water Resources Journal / Revue canadienne des ressources hydriques
%D 2023
%I Informa UK Limited
%F Gozini-2023-Statistical
%X For cold regions, an ice cover reduces channel conveyance and hydroelectricity generation potential. Therefore, predicting the impact of ice cover on a river-reservoir system is of critical importance for hydro producers. Ice impact can be described using historical records, where typical conditions are characterized by a daily median ice factor (IF) curve. The daily median IF curve works well only for past years with typical climatic conditions. Moreover, the median curve would not respond to climate-induced changes in the ice cover. In this research, a novel statistical (ST) model, named ST-IF, is developed to simulate the impact of river ice on the conveyance of the Nelson River West Channel (NRWC) as a function of daily air temperature. ST-IF uses a series of statistically based functions, including regression and threshold functions to estimate different characteristics of IF, such as its initial and peak values, and its daily distribution during ice-on period. Model performance was evaluated against historical records and the daily median value of the ice cover impact. Results showed that ST-IF significantly improved the simulation of each year-specific IF curve in NRWC compared to the daily median curve. Moreover, the model was used to predict the impact of ice cover under future climate conditions using 19 climate simulations. Results showed that, due to the predicted warmer future, ice cover is expected to take longer to fully form. This leads to longer Ice Stabilization Program duration, higher program implementation cost, and potential additional downstream stakeholder impacts. In addition, earlier ice impact peak date, shorter ice impact duration, and lower ice impact magnitude leading to overall higher winter hydroelectricity generation potential for Manitoba Hydro are expected in the future. Such future alterations intensify from near to far future time periods.
%R 10.1080/07011784.2023.2218328
%U https://gwf-uwaterloo.github.io/gwf-publications/G23-31001
%U https://doi.org/10.1080/07011784.2023.2218328
%P 1-21

Markdown (Informal)

[Statistical modeling of ice cover impact on flow conveyance in the Nelson River West Channel](https://gwf-uwaterloo.github.io/gwf-publications/G23-31001) (Gozini et al., GWF 2023)

• Statistical modeling of ice cover impact on flow conveyance in the Nelson River West Channel (Gozini et al., GWF 2023)

ACL

• Hamid Gozini, Samantha M. Wilson, Masoud Asadzadeh, Kevin Lees, and S. J. Kim. 2023. Statistical modeling of ice cover impact on flow conveyance in the Nelson River West Channel. Canadian Water Resources Journal / Revue canadienne des ressources hydriques:1–21.