A project for regional analysis of floods in Italy

Rossi, Federico; Villani, Paolo

doi:10.1007/978-94-011-1098-3_11

Cited by 24 publications

(25 citation statements)

References 5 publications

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“…Conversely, the curves are affected by the slope n of the IDF curve that determines how much rainfall intensity changes with the duration t p ; following equations and , the larger is n , the smaller is the relative attenuation R Q due to the modest relative increase of the critical rainfall duration in the optimum range with respect to natural conditions. Figure shows the relative attenuation 1 − R Q (Figure a) and critical rainfall duration (Figure b) when assuming

K^{'} = 0.5

and for several values of n in the interval between 0.2 and 0.6; values of n in between 0.2 and 0.4 are typical in central Italy, while larger values up to 0.6 can be found in the Alps regions (i.e., extreme rainfall intensity varies more strongly with duration in central Italy than in the Alps) as a result of the VAPI Project (Rossi & Villani, ). The figure also depicts the effect on quantile attenuation of the parameter m ; we recall that m controls the coefficient of variation of the travel time distribution according to the variability of the geomorphological features in a natural catchment, that is, the distribution of the hillslope and channel lengths and of the kinematic parameters determining the velocity of catchment response.…”

Section: Resultsmentioning

confidence: 99%

Reservoir Effects on Flood Peak Discharge at the Catchment Scale

Volpi

Lazzaro

Bertola

et al. 2018

Water Resources Research

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This paper proposes a method to easily quantify the attenuation due to a reservoir on downstream flood peak discharges, that is, to the downstream flood frequency curve. Using a parsimonious Instantaneous Unit Hydrograph‐based model, we show that the flood peak attenuation is mainly controlled by three system characteristics: (1) the reservoir position along the river channel, (2) the spillway dimensions, quantified by the reservoir storage coefficient; and (3) the storage capacity. These three system characteristics are quantified by three dimensionless numbers, which are derived analytically for an idealized catchment. The degree of flood peak attenuation increases for increasing storage capacity and spillway dimensions, in different ways depending on the reservoir position along the river channel. An optimal position exists, which maximizes the degree of flood peak attenuation, and is in general different from the outlet of the catchment. Interestingly, for large reservoirs with relatively small spillways, a range of quasi‐optimal positions exists. With the Instantaneous Unit Hydrograph‐based model, we also investigate how the duration of extreme rainfall relevant for determining the maximum flood peaks at the catchment outlet changes depending on the three system characteristics. Some of the assumptions of the method (i.e., catchment simple morphology and linearity of reservoir response) are relaxed in a real‐world example, which demonstrates that the synthetic results approximate well what would be obtained by a more realistic model.

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K^{'} = 0.5

Section: Resultsmentioning

confidence: 99%

Reservoir Effects on Flood Peak Discharge at the Catchment Scale

Volpi

Lazzaro

Bertola

et al. 2018

Water Resources Research

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“…Its complex orography interacts with wet air masses that come predominantly (but not exclusively) from the Tyrrhenian Sea and affects the spatial variability of many rainfall events. The current regional report on rainfall extremes in this area was prepared within the Consiglio Nazionale delle Ricerche, National Research Council's VAlutazione delle PIene Flood Estimation project (Versace et al ., ; Rossi and Villani, , ), a national project designed to analyse the frequency of extreme rainfall and river floods at a regional scale. The regionalization of the annual daily rainfall maxima is based on a two‐component extreme value parent distribution (Rossi et al ., ).…”

Section: Study Area Rainfall Dataset and Orographic Descriptorsmentioning

confidence: 97%

Statistical identification of orographic effects in the regional analysis of extreme rainfall

Furcolo

Pelosi

Rossi

2015

Hydrological Processes

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Regional models of extreme rainfall must address the spatial variability induced by orographic obstacles. However, the proper\ud detection of orographic effects often depends on the availability of a well-designed rain gauge network. The aim of this study is\ud to investigate a new method for identifying and characterizing the effects of orography on the spatial structure of extreme rainfall\ud at the regional scale, including where rainfall data are lacking or fail to describe rainfall features thoroughly.\ud We analyse the annual maxima of daily rainfall data in the Campania region, an orographically complex region in Southern Italy,\ud and introduce a statistical procedure to identify spatial outliers in a low order statistic (namely the mean). The locations of these\ud outliers are then compared with a pattern of orographic objects that has been a priori identified through the application of an\ud automatic geomorphological procedure. The results show a direct and clear link between a particular set of orographic objects\ud and a local increase in the spatial variability of extreme rainfall. This analysis allowed us to objectively identify areas where\ud orography produces enhanced variability in extreme rainfall. It has direct implications for rain gauge network design criteria and\ud has led to promising developments in the regional analysis of extreme rainfall

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“…The total variance of regionalized parameter values is a function of at-site temporal variability, interstation correlation and spatial disturbance (Rossi and Villani, 1994). Larger numbers of sites with longer records decrease total variance, but the bene®ts decrease in densely sampled areas owing to temporal and spatial interstation correlations.…”

Section: Regional Flood Frequency Analysismentioning

confidence: 99%