Characterisation of the floods in the Danube River basin through flood frequency and seasonality analysis

Abstract

Floods are natural disasters that cause extreme economic damage and therefore have a significant impact on society. Understanding the spatial and temporal characteristics exhibited by floods is one of the crucial parts of effective flood management. The Danube River with its basin is an important region in Europe and floods have occurred in the Danube River basin throughout history. Flood frequency analysis (FFA) and seasonality analysis were performed in this study using the annual maximum discharge series data from 86 gauging stations in order to form a comprehensive characterisation of floods in the Danube River basin. The results of the study demonstrate that some noticeable clusters of stations can be identified based on the best-fitting distribution regarding FFA. Furthermore, the best-fitting distributions regarding FFA for the stations in the Danube River basin are generalized extreme values (GEV) and log Pearson type 3 (LP3) distributions as among 86 considered gauging stations, 76 stations have one of these two distributions among their two best fits. Moreover, seasonality analysis demonstrates that large floods in the Danube River basin mainly occur in the spring, and flood seasonality in the basin is highly clustered.

Assessing the impact of climate on annual and seasonal discharges at the Sremska Mitrovica station on the Sava River, Serbia

“…In this study, the mean value of L-Ck fits well to the 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 (in Croatia) located upstream of the Sremska Mitrovica station. Morlot et al (2019) highlited that for the downstream reach of the Sava River the PIII distribution is the best-fitting distribution, while in the upstream reach of the Sava River the GEV and GL distributions are recommended.…”

Flood Flow Probability Distribution Model Selection on Niger/Benue River Basins in Nigeria

“…PR3 is a standard probability model in 7 countries while LP3 in 7 countries. The optimum distribution found in this study are in line with global practice for utility of probability distributions according to [22,16] and [11].…”

Karst springs in Slovenia: trend analysis

“…Mann-Kendallov statistični test je eden najpogosteje uporabljenih testov za zaznavanje sprememb v hidroloških podatkih (npr. Burn in Hag Elnur, 2002;Kundzewicz in Robson, 2004;Morlot et al, 2019). V vseh primerih je bila za zaznavanje statistično značilnih trendov uporabljena stopnja značilnosti 0,05.…”