Generation Mechanisms and Probabilistic Assessment of Peak Spring Streamflow in the Canadian Prairies
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Generation Mechanisms and Probabilistic Assessment of Peak Spring Streamflow in the Canadian Prairies
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Generation Mechanisms and Probabilistic Assessment of Peak Spring Streamflow in the Canadian Prairies
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10500 - Earth and related environmental sciences
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
ISSN
1436-3240
e-ISSN
1436-3240
Svazek periodika
38
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
18
Strana od-do
1071-1088
Kód UT WoS článku
001115527300001
EID výsledku v databázi Scopus
2-s2.0-85178875245