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Generation Mechanisms and Probabilistic Assessment of Peak Spring Streamflow in the Canadian Prairies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F24%3A100838" target="_blank" >RIV/60460709:41330/24:100838 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s00477-023-02614-x" target="_blank" >https://doi.org/10.1007/s00477-023-02614-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00477-023-02614-x" target="_blank" >10.1007/s00477-023-02614-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Generation Mechanisms and Probabilistic Assessment of Peak Spring Streamflow in the Canadian Prairies

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10500 - Earth and related environmental sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

  • ISSN

    1436-3240

  • e-ISSN

    1436-3240

  • Volume of the periodical

    38

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    18

  • Pages from-to

    1071-1088

  • UT code for WoS article

    001115527300001

  • EID of the result in the Scopus database

    2-s2.0-85178875245