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A hierarchical approach to regional flood frequency analysis
Author(s) -
Gabriele Salvatore,
Arnell Nigel
Publication year - 1991
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 - 10.1029/91wr00238
Subject(s) - quantile , skewness , extreme value theory , flood myth , statistics , generalized extreme value distribution , return period , component (thermodynamics) , frequency analysis , mathematics , econometrics , environmental science , geography , physics , archaeology , thermodynamics
A hierarchical approach to regional flood frequency estimation is described, where higher‐order parameters controlling the skewness of annual maximum floods are determined from larger regions than are used for determining parameters controlling the coefficient of variation. Procedures based on two‐component extreme value and generalized extreme value distributions are developed, and it is shown that dividing a region into subregions to estimate some parameters can lead to more precise quantile estimates. The practical problem of defining the optimum number of subregions is discussed.