Abstract

Abstract Flood frequency analysis was performed on annual maxima series for 90 years (1928–2017) of discharge data recorded at the Sremska Mitrovica gauging station on the Sava River. The three-parameter distributions (PearsonIII, Log-PearsonIII) are more suitable for modelling annual maxima than distribution functions with only two parameters (Normal, Log-normal, Gumbel). The Mann–Kendall test statistic indicated that there is no statistically significant trend identified in annual maximum discharges or average annual discharges. A positive increasing trend was observed in annual temperature, while annual precipitation shows a decreasing trend which is non-significant. The seasonality analysis found a statistically non-significant weak negative trend in discharge in spring, summer and autumn and a statistically non-significant weak positive trend in winter. During winter, spring, and summer a non-significant negative trend in precipitation was observed, while autumn has experienced a statistically significant increasing trend. Temperatures show a positive trend in all seasons, but only temperatures during the warm period show a statistically significant increase. The results demonstrate that decreasing discharges of the Sava River at the Sremska Mitrovica gauging station are mainly the consequence of decreasing precipitation and increasing temperature (increasing evaporation), which is consistent with the results of other studies of the region.

Highlights

  • Reliable estimation of extreme floods is one of the major challenges faced by hydrologists (Leščešen & Dolinaj 2019)

  • Annual Maximum Series (AMS) based on the maximum discharge (Qmax) series were used for the flood frequency analysis

  • The mean value of L–Ck fits well to the Pearson type III (PIII) distribution. These results are in good agreement with the results presented by Morlot et al (2019), where the same PIII distribution was selected as the best-fitting distribution for the Sremska Mitrovica station, as well as for the Orljava-Pleternica station located upstream of the Sremska Mitrovica station

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Summary

Introduction

Reliable estimation of extreme floods is one of the major challenges faced by hydrologists (Leščešen & Dolinaj 2019). Reliable estimation of selected variables of the chosen hydrologic risk becomes even more problematic with climatic variability (Šraj et al 2016b; Blöschl et al 2019). Over the past several decades, many studies world-wide have undertaken flood frequency analysis and investigated the trends in extreme river flow and explored their correlation with global climate change (Pinter et al 2008; Petrow & Merz 2009; Bormann et al 2011; Šraj et al 2016b; Blöschl et al 2017, 2019). Global and regional spatial-temporal patterns of hydrological extremes have been intensively studied over the last decades, no uniform changes around the globe have been found (Bower 2010). Evaluations of historical data series worldwide have observed a high range of both decreases and increases in extreme discharges (Kundzewicz et al 2005; Bower 2010; Condon et al 2015). Kundzewicz et al (2005) have

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