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<p>The research aims to analyze changes in the predicted short-term rainfall intensities at the Telgárt climatological station and the subsequent use of these predicted rainfall intensities for estimating design floods. The area of interest selected is the upper Hnilec River basin in Slovakia. The research is divided into two parts: In the first part, the authors have focused on analyzing future seasonal changes and the trend of shortterm rainfall intensities and estimating the scaling exponents of short-term rainfall. In the second part, the observed and predicted short-term rainfall intensities have been applied to estimate the design floods in the study area, using the Soil Conservation Service – Curve Number method (SCS CN). The results indicate that for the future periods, there will be a shift in the rainfall maxima of about one week to an earlier period in July compared to the historical period. The changes in the short-term rainfall trends were detected in the 60-, 120- and 180-minute rainfall durations at the 90% significance level. The results of the design discharges predict higher values in the near future in the case of the 10- and 20-year return periods and higher values in the 50- and 100-year return periods for the remote future.</p>
</abstract>

The research aims to analyze changes in the predicted short-term rainfall intensities at the Telgárt climatological station and the subsequent use of these predicted rainfall intensities for estimating design floods. The area of interest selected is the upper Hnilec River basin in Slovakia. The research is divided into two parts: In the first part, the authors have focused on analyzing future seasonal changes and the trend of shortterm rainfall intensities and estimating the scaling exponents of short-term rainfall. In the second part, the observed and predicted short-term rainfall intensities have been applied to estimate the design floods in the study area, using the Soil Conservation Service – Curve Number method (SCS CN). The results indicate that for the future periods, there will be a shift in the rainfall maxima of about one week to an earlier period in July compared to the historical period. The changes in the short-term rainfall trends were detected in the 60-, 120- and 180-minute rainfall durations at the 90% significance level. The results of the design discharges predict higher values in the near future in the case of the 10- and 20-year return periods and higher values in the 50- and 100-year return periods for the remote future.

Impact of Changes in Short-Term Rainfall on Design Floods: Case Study of the Hnilec River Basin, Slovakia

Dept. of Land and Water Resources Management

Faculty of Civil Engineering STU in Bratislava

Slovak Journal of Civil Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The research aims to analyze changes in the predicted short-term rainfall intensities at the Telgárt climatological station and the subsequent use of these...

Impact of Changes in Short-Term Rainfall on Design Floods: Case Study of the Hnilec River Basin, Slovakia

Publié en ligne: 13 avr. 2022

Pages: 68 - 74

DOI: https://doi.org/10.2478/sjce-2022-0008

Mots clés
Short-term intensities, CLM model, Burn’s vector, Mann-Kendal trend test, SCS-CN

© 2022 Gabriel Földes et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Impact of Changes in Short-Term Rainfall on Design Floods: Case Study of the Hnilec River Basin, Slovakia

Publié en ligne: 13 avr. 2022

Pages: 68 - 74

DOI: https://doi.org/10.2478/sjce-2022-0008

Mots clésShort-term intensities, CLM model, Burn’s vector, Mann-Kendal trend test, SCS-CN

© 2022 Gabriel Földes et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Short-term intensities, CLM model, Burn’s vector, Mann-Kendal trend test, SCS-CN