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Open AccessArticle

Investigation of Trends, Temporal Changes in Intensity-Duration-Frequency (IDF) Curves and Extreme Rainfall Events Clustering at Regional Scale Using 5 min Rainfall Data

Faculty of Civil and Geodetic Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia
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Water 2019, 11(10), 2167; https://doi.org/10.3390/w11102167
Received: 6 September 2019 / Revised: 10 October 2019 / Accepted: 16 October 2019 / Published: 17 October 2019
(This article belongs to the Section Hydrology and Hydrogeology)
High-frequency rainfall data is needed in different practical hydrologic applications, such as the construction of the intensity-duration-frequency curves (IDF). This paper presents an investigation of trends (station-wise and regional) for several rainfall durations that were constructed based on the 5 min rainfall data. Moreover, changes in IDF results for two 22-year sub-samples were also analyzed. Additionally, changes in extreme events clustering at the regional scale were also analyzed. Ten rainfall stations (44 years of data 1975–2018) located in Slovenia (central EU, approx. 20,000 km2) were used in this study. Results indicate that no clear pattern in the detected trends can be found based on the analyzed stations. However, all the statistically significant trends at the significance level of 0.05 for the 5 min rainfall data were negative. Moreover, regional trends for this duration were also statistically significant. The changes in the design rainfall events between two equal sub-samples (1975–1996, 1997–2018) were between −30% and 60%. The investigation of changes in extreme rainfall event clustering indicated that extreme 5, 30, and 60 min events could more frequently occur a few days earlier in spring or summer compared to the past period. On the other hand, longer duration events (i.e., 360 and 720 min) tend to more frequently occur a few days later in autumn compared to the past. In most cases, changes are not statistically significant. View Full-Text
Keywords: trends; high-frequency data; IDF; clustering; 5 min data; regional scale; extreme events trends; high-frequency data; IDF; clustering; 5 min data; regional scale; extreme events
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MDPI and ACS Style

Bezak, N.; Mikoš, M. Investigation of Trends, Temporal Changes in Intensity-Duration-Frequency (IDF) Curves and Extreme Rainfall Events Clustering at Regional Scale Using 5 min Rainfall Data. Water 2019, 11, 2167. https://doi.org/10.3390/w11102167

AMA Style

Bezak N, Mikoš M. Investigation of Trends, Temporal Changes in Intensity-Duration-Frequency (IDF) Curves and Extreme Rainfall Events Clustering at Regional Scale Using 5 min Rainfall Data. Water. 2019; 11(10):2167. https://doi.org/10.3390/w11102167

Chicago/Turabian Style

Bezak, Nejc; Mikoš, Matjaž. 2019. "Investigation of Trends, Temporal Changes in Intensity-Duration-Frequency (IDF) Curves and Extreme Rainfall Events Clustering at Regional Scale Using 5 min Rainfall Data" Water 11, no. 10: 2167. https://doi.org/10.3390/w11102167

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