Enhancing regional flood frequency analysis by integrating site-similarity measures with watershed modeling
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F24%3A100808" target="_blank" >RIV/60460709:41330/24:100808 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1016/j.jhydrol.2024.131754" target="_blank" >https://doi.org/10.1016/j.jhydrol.2024.131754</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jhydrol.2024.131754" target="_blank" >10.1016/j.jhydrol.2024.131754</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Enhancing regional flood frequency analysis by integrating site-similarity measures with watershed modeling
Popis výsledku v původním jazyce
This paper introduces and applies a novel methodology that integrates watershed modeling with the traditional regional flood frequency analysis. The methodology introduces a novel site-similarity measure that relies on hydrologic simulations and accounts for the effect of land depressions on streamflow generation. The new measure is tested along with other traditional measures for regional flood frequency analysis in the Canadian prairies. The case study is chosen carefully to critically test the new methodology. An application of 30 combinations of the new and traditional site similarity measures is assessed for pooling 109 sites. The homogeneity of the clustered groups is evaluated, and different probability distributions are applied to describe at-site and regional annual maximum flows. The results present enhanced groups' homogeneity when the new measure is employed due to a better representation of the hydrologic similarity between the pooled sites. Furthermore, the regionally estimated quantiles are found susceptible to the chosen site similarity measures in the pooling process, which highlights the importance of considering the proposed measure that describes a key hydrologic aspect when land depressions exist.
Název v anglickém jazyce
Enhancing regional flood frequency analysis by integrating site-similarity measures with watershed modeling
Popis výsledku anglicky
This paper introduces and applies a novel methodology that integrates watershed modeling with the traditional regional flood frequency analysis. The methodology introduces a novel site-similarity measure that relies on hydrologic simulations and accounts for the effect of land depressions on streamflow generation. The new measure is tested along with other traditional measures for regional flood frequency analysis in the Canadian prairies. The case study is chosen carefully to critically test the new methodology. An application of 30 combinations of the new and traditional site similarity measures is assessed for pooling 109 sites. The homogeneity of the clustered groups is evaluated, and different probability distributions are applied to describe at-site and regional annual maximum flows. The results present enhanced groups' homogeneity when the new measure is employed due to a better representation of the hydrologic similarity between the pooled sites. Furthermore, the regionally estimated quantiles are found susceptible to the chosen site similarity measures in the pooling process, which highlights the importance of considering the proposed measure that describes a key hydrologic aspect when land depressions exist.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10501 - Hydrology
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
Journal of Hydrology
ISSN
0022-1694
e-ISSN
0022-1694
Svazek periodika
641
Číslo periodika v rámci svazku
131754
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
12
Strana od-do
1-12
Kód UT WoS článku
001298031200001
EID výsledku v databázi Scopus
2-s2.0-85201455177