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Open AccessArticle

Uncertainty Analysis in the Evaluation of Extreme Rainfall Trends and Its Implications on Urban Drainage System Design

1
Dipartimento di Ingegneria Civile Ambientale Aerospaziale e dei Materiali, Università degli Studi di Palermo, 90128 Palermo, Italy
2
Facoltà di Ingegneria ed Architettura, Università degli Studi di Enna Kore, 94100 Enna, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Paolo Reggiani and Ezio Todini
Water 2015, 7(12), 6931-6945; https://doi.org/10.3390/w7126667
Received: 5 October 2015 / Accepted: 1 December 2015 / Published: 5 December 2015
(This article belongs to the Special Issue Uncertainty Analysis and Modeling in Hydrological Forecasting)
Future projections provided by climate models suggest that the occurrence of extreme rainfall events will increase and this is evidence that the climate is changing. Because the design of urban drainage systems is based on the statistical analysis of past events, variations in the intensity and frequency of extreme rainfall represent a critical issue for the estimation of rainfall. For this reason, the design criteria of drainage systems should take into account the trends in the past and the future climate changes projections. To this end, a Bayesian procedure was proposed to update the parameters of depth–duration–frequency (DDF) curves to assess the uncertainty related to the estimation of these values, once the evidence of annual maximum rainfall trends was verified. Namely, in the present study, the historical extreme rainfall series with durations of 1, 3, 6, 12 and 24 h for the period of 1950–2008, recorded by the rain gauges located near the Paceco urban area (southern Italy), were analyzed to detect statistically significant trends using the non‐parametric Mann‐Kendall test. Based on the rainfall trends, the parameters of the DDF curves for a five‐year return period were updated to define some climate scenarios. Finally, the implications of the uncertainty related to the DDF parameters estimation on the design of a real urban drainage system was assessed to provide an evaluation of its performance under the assumption of climate change. Results showed that the future increase of annual maximum precipitation in the area of study would affect the analyzed drainage system, which could face more frequent episodes of surcharge. View Full-Text
Keywords: extreme rainfall; trend analysis; climate change; uncertainty analysis; urban drainage system design extreme rainfall; trend analysis; climate change; uncertainty analysis; urban drainage system design
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Notaro, V.; Liuzzo, L.; Freni, G.; La Loggia, G. Uncertainty Analysis in the Evaluation of Extreme Rainfall Trends and Its Implications on Urban Drainage System Design. Water 2015, 7, 6931-6945.

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