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Water 2016, 8(8), 330; doi:10.3390/w8080330

Reconstruction of a Storm Map and New Approach in the Definition of Categories of the Extreme Rainfall, Northeastern Sicily

1
Dipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, via dei Mulini 59/A, Benevento 82100, Italy
2
Met European Research Observatory, HyMex Mediterranean Experiment Network—Via Monte Pino, Benevento 82100, Italy
3
CMG Testing S.r.l., Via Piano Alvanella, Monteforte Irpino, Avellino 83024, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Brigitte Helmreich
Received: 16 June 2016 / Revised: 18 July 2016 / Accepted: 21 July 2016 / Published: 5 August 2016
(This article belongs to the Special Issue Urban Drainage and Urban Stormwater Management)
View Full-Text   |   Download PDF [5435 KB, uploaded 17 August 2016]   |  

Abstract

After more than 350 mm of rainfall fell in a few hours on 22 November 2011, thousands of landslides and floods were induced in two main zones of Northeastern Sicily. The total rainfall has been reconstructed integrating available rain gauge data with Tropical Rainfall Measuring Mission (TRMM) satellite data from NASA (National Aeronautics and Space Administration); the landslide distribution in the field has confirmed the pattern of rainfall accumulated on 22 November 2011. Precipitation maxima of 1, 3, 6, 12, and 24 h was recognized as the hazardous events, which marks the evidence of a changing climate, with a shift toward more intense rainfalls in recent times. To investigate the sequence of the annual maxima, the historical time series have been transformed in the Standard normal distribution, from the cumulative probability of the GEV (Generalized Extreme Value) distribution. Following a similar definition of the Standard Precipitation Index (SPI), the transformation of the historical data in the standardized values allows the definition of categories of hourly maxima in term of extreme, severe, moderate, or mild. This transformation allows to eliminate the asymmetry of the time series, so that trends and fluctuations have been highlighted by the progressive accumulation of data (Rescaled Adjust Partial Sum). This statistical approach allows the improvement of the interpretability of the hydrological extreme events, and could also be used in other cases. View Full-Text
Keywords: rainfall; extreme event; return time; Standard normal distribution; Sicily rainfall; extreme event; return time; Standard normal distribution; Sicily
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Fiorillo, F.; Diodato, N.; Meo, M. Reconstruction of a Storm Map and New Approach in the Definition of Categories of the Extreme Rainfall, Northeastern Sicily. Water 2016, 8, 330.

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