Publication details

Physiographic parameters as a key player in flysch catchments affected by flash floods

Authors

FATUROVÁ Dominika ŠULC MICHALKOVÁ Monika GERŠLOVÁ Zdeňka CALETKA Martin MÁČKA Zdeněk MÜNSTER Petr

Year of publication 2024
Type Article in Periodical
Magazine / Source Zeitschrift für Geomorphologie
MU Faculty or unit

Faculty of Science

Citation
web https://doi.org/10.1127/zfg/2024/0809
Doi http://dx.doi.org/10.1127/zfg/2024/0809
Keywords flash floods; flysch catchments; physiographic parameters; susceptibility analysis
Description Flash floods with sudden and rapid flooding in built-up areas are usually difficult to predict because of the local characteristics of causative rainfall. Aside from the quantity of precipitation, the physiographic parameters of catchments determine the consequential discharge. In this study, the flash flood occurrences were identified in the Western Outer Carpathians in Czechia (2000-2020), and their small catchments with a mean area of 2.4 km2 2 located in a flysch geological context above the built-up areas were evaluated. Unfortunately, there are no measurements of flow rate. Therefore, the analyses focused on nine parameters affecting surface runoff related to geomorphic factors, land use, and pedological conditions. Using statistical analyses, namely factor analysis, principal component analysis, and cluster analysis, the characteristics of the four groups of catchments with different delay times and runoff depths were revealed. Knowledge of the physiographic parameters of catchments affected by flash floods can be used in flash flood susceptibility assessment to help anticipate where flash floods may occur with increased probability. This study gives new scientific insights for the region: the contribution lies in i) the identification of flash floods based on local observation and cross-validation with quantitative precipitation estimates from weather radar data; ii) a new and internationally applicable approach in flash flood susceptibility assessment based on a statistical analysis of geomorphic factors, land use, and pedological conditions.
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