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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Zaghloul, M. A., Papalexiou, S. M.
Title
Generation Mechanisms and Probabilistic Assessment of Peak Spring Streamflow in the Canadian Prairies
Year
2023
Publication Outlet
Stochastic Environmental Research and Risk Assessment
DOI
http://doi.org/10.1007/s00477-023-02614-x
Citation
Zaghloul, M. A., Papalexiou, S. M. (2023) Generation Mechanisms and Probabilistic Assessment of Peak Spring Streamflow in the Canadian Prairies. Stochastic Environmental Research and Risk Assessment. http://doi.org/10.1007/s00477-023-02614-x
Abstract
Peak spring streamflow is triggered in the Canadian prairies with complex generation mechanisms. The study characterizes the generation mechanisms of peak spring streamflow and models the basin response to changing hydro-climatic basin conditions. Key hydro-climatic basin descriptors were defined and used to set criteria for identifying different flood generation mechanisms, associated with the historical floods at 109 Canadian prairie basins. The temporal and spatial heterogeneity of these mechanisms were investigated, and a t-copula model was used to model the dependence structure between the basin descriptors and peak spring streamflow. The study: (1) suggests seven basin descriptors for characterizing the generation mechanism of peak spring streamflow; (2) discloses four levels of wetness conditions and nine flood generation mechanisms in the Canadian prairies; and (3) highlights the advantages and challenges of probabilistically assessing the basin response (peak spring streamflow) in relevance to historical and hypothetical basin conditions. We deem these results enhance the characterization of flood generation mechanisms in the Canadian prairies and advance the risk estimation of peak spring streamflow.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-IMPC: Integrated Modelling Program for Canada
Publication Stage
Published
Additional Information
Paradigm Shift
Download Links
http://doi.org/10.1007/s00477-023-02614-x
uses data from
https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/
https://search.open.canada.ca/opendata/
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