Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations

Gioia, Andrea; Lioi, Beatrice; Totaro, Vincenzo; Molfetta, Matteo Gianluca; Apollonio, Ciro; Bisantino, T.; Iacobellis, Vito

doi:10.3390/hydrology8040150

Cited by 9 publications

(5 citation statements)

References 37 publications

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“…Testing the homogeneity and stationarity of a maximum precipitation series is often overlooked in studies on the design of DDF or IDF curves, and it is assumed that this condition is met [5,6,42,65]. The results of the homogeneity of the series of seasonal maximum precipitation of Polish stations investigated here are consistent with the literature, since, unlike in other European countries, no statistically significant trends in both seasonal and annual precipitation totals were found in Poland and Slovenia [66][67][68].…”

Section: Discussionsupporting

confidence: 87%

Depth–Duration–Frequency Relationship Model of Extreme Precipitation in Flood Risk Assessment in the Upper Vistula Basin

Markiewicz

2021

Water

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The Upper Vistula Basin is a flood-prone region in the summer season (May–October) due to intensive rainfall. From the point of view of water management, it is particularly important to assess the variability in this main factor of flood risk, as well as to establish the depth–duration–frequency (DDF) relationship for maximum precipitation, this having not yet been derived for the region. The analysis of a 68-year (1951–2018) data series of summer maximum precipitation collected by 11 meteorological stations showed the series’ stationarity, which supports the conclusion that there is no increase in the risk of rainfall floods due to the intensification of extreme precipitation. A new approach is proposed for the determination of the DDF relationship, where the best-fitted distribution for each station is selected from among the set of candidate distributions, instead of adopting one fixed distribution for all stations. This approach increases the accuracy of the DDF relationships for individual stations as compared to the commonly used approach. In particular, the traditionally used Gumbel distribution turns out to be not well fitted to the investigated data series, and the advantage of the recently popular GEV distribution is not significant.

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Section: Discussionsupporting

confidence: 87%

Depth–Duration–Frequency Relationship Model of Extreme Precipitation in Flood Risk Assessment in the Upper Vistula Basin

Markiewicz

2021

Water

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“…In particular, the World Meteorological Organization (WMO) suggested to consider at least 30 years of continuous rainfall data related to the resolution of interest for specific applications [26]. Such a circumstance is not easy to obtain in small and ungauged basins [28,29], making the estimation of runoff consequent to rainfall difficult [30][31][32]. In this context, the use of stochastic rainfall generators (SRGs) could help in the analysis of rainfall processes [33].…”

Section: Introductionmentioning

confidence: 99%

The Benefit of Continuous Hydrological Modelling for Drought Hazard Assessment in Small and Coastal Ungauged Basins: A Case Study in Southern Italy

Luca

Apollonio

Petroselli

2022

Climate

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Rainfall-runoff modelling in small and ungauged basins represents one of the most common practices. However, it remains a challenging task for researchers and practitioners, in particular in a climate change context and in areas subject to drought risk. When discharge observations are not available, empirical or event-based approaches are commonly used. However, these schemes can be affected by several relevant assumptions. In the last years, continuous models have been developed in order to address the major drawbacks of event-based approaches. With this goal in mind, in this work we applied a synthetic rainfall generation model (STORAGE; stochastic rainfall generator), constituting the implementation of a modified version of Neymann-Scott rectangular pulse (NSRP) model, and a continuous rainfall-runoff framework (COSMO4SUB; continuous simulation modelling for small and ungauged basins) specifically designed for ungauged basins within a climate change context. The modeling approach allows one to investigate the drought hazard using specific indicators for rainfall and runoff in a small watershed located in southern Italy. Results show that the investigated area seems to tend to a mild/moderate drought in a future time period of approximately 30 years, with a decrease in seasonal water volumes availability in the range of 15–30%. Finally, our results confirm that the continuous modelling is suitable for rapid and effective design simulations supporting drought hazard assessment.

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“…During the past several decades, many rainfall events with high intensity and short duration have indeed resulted in many human victims and much socio-economic damage in Italy and other neighboring countries as a consequence of floods, landslides, and debris flows [1][2][3][4]. These issues mainly involve small river basins and urban catchments for which the run-off response is maximized during sub-hourly extreme rainfall events [5,6].…”

Section: Introductionmentioning

confidence: 99%

Regional Assessment of Sub-Hourly Annual Rainfall Maxima

Pelosi

Chirico

Furcolo

et al. 2022

Water

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The assessment of rainfall extremes at sub-hourly scales is generally hindered by a lack of rainfall data at small timescale resolutions. This study proposes a methodology for assessing mean annual maximum rainfall at the sub-hourly scale by blending historical time series of annual maxima recorded by mechanical stations (operating at hourly scales) up to the end of the past century with newer time series of annual maxima at higher time resolutions recorded by automatic stations installed over the past twenty years. A linear correlation was found at the regional scale between the shape parameter controlling the dependency of rainfall maxima with a duration longer than one hour and the shape parameter of the dependency of rainfall maxima with the durations shorter than one hour. Thanks to this correlation, data recorded at the mechanical stations could be exploited to assess sub-hourly mean annual maxima. The proposed hybrid procedure was verified and was found to provide estimates with an accuracy close to those obtained with the high-resolution data, i.e., our best estimates. Moreover, the proposed procedure outperforms what could be achieved by spatially interpolating the best estimates at those locations where only hourly data are available.

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Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations

Cited by 9 publications

References 37 publications

Depth–Duration–Frequency Relationship Model of Extreme Precipitation in Flood Risk Assessment in the Upper Vistula Basin

Depth–Duration–Frequency Relationship Model of Extreme Precipitation in Flood Risk Assessment in the Upper Vistula Basin

The Benefit of Continuous Hydrological Modelling for Drought Hazard Assessment in Small and Coastal Ungauged Basins: A Case Study in Southern Italy

Regional Assessment of Sub-Hourly Annual Rainfall Maxima

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