Use of L-Moments Approach for Regional Flood Frequency Analysis in Sicily, Italy

Leonardo Noto () and Goffredo La Loggia ()

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2009, vol. 23, issue 11, 2207-2229

Abstract: Extremely great floods are among environmental events with the most disastrous consequences for the entire world. Estimates of their return periods and design values are of great importance in hydrologic modeling, engineering practice for water resources and reservoirs design and management, planning for weather-related emergencies, etc. Regional flood frequency analysis resolves the problem of estimating the extreme flood events for catchments having short data records or ungauged catchments. This paper analyzes annual maximum peak flood discharge data recorded from more than 50 stream flow gauging sites in Sicily, Italy, in order to derive regional flood frequency curves. First these data are analyzed to point out some problems concerning the homogeneity of the single time series. On the basis of the L-moments and using cluster analysis techniques, the entire region is subdivided in five subregions whose homogeneity is tested using the L-moments based heterogeneity measure. Comparative regional flood frequency analysis studies are carried out employing the L-moments based commonly used frequency distributions. Based on the L-moment ratio diagram and other statistic criteria, generalized extreme value (GEV) distribution is identified as the robust distribution for the study area. Regional flood frequency relationships are developed to estimate floods at various return periods for gauged and ungauged catchments in different subregions of the Sicily. These relationships have been implemented using the L-moment based GEV distribution and a regional relation between mean annual peak flood and some geomorphologic and climatic parameters of catchments. Copyright Springer Science+Business Media B.V. 2009

Keywords: Flood; Regional analysis; L-moments; Index flood (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s11269-008-9378-x

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