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Two‐Component Extreme Value Distribution for Flood Frequency Analysis
Author(s) -
Rossi Fabio,
Fiorentino Mauro,
Versace Pasquale
Publication year - 1984
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr020i007p00847
Subject(s) - skewness , statistics , extreme value theory , gamma distribution , generalized extreme value distribution , flood myth , exponential distribution , poisson distribution , order statistic , kurtosis , outlier , distribution (mathematics) , mathematics , statistic , distribution fitting , gumbel distribution , independent and identically distributed random variables , random variable , geography , mathematical analysis , archaeology
Theoretical considerations, supported by statistical analysis of 39 annual flood series (AFS) of Italian basins, suggest that the two‐component extreme value (TCEV) distribution can be assumed as a parent flood distribution, i.e., one closely representative of the real flood experience. This distribution belongs to the family of distributions of the annual maximum of a compound Poisson process, which is a solid theoretical basis for AFS analysis. However, the two‐parameter distribution of this family, obtained on the assumption of identically distributed floods, does not account for the high variability of both observed skewness and largest order statistics, so that a significant number of observed floods qualify as outliers under this distribution. The more general TCEV distribution assumes individual floods to arise from a mixture of two exponential components. Its four parameters can be estimated by the maximum likelihood method. A regionalized TCEV distribution, with parameters representative of a set of 39 Italian AFS's, was shown to closely reproduce the observed distribution of skewness and that of the largest order statistic.