In this study LH-moment proposed by Wang (Water Resour Res 33(12):2841–2848, 1997) has been used for regional flood frequency analysis of the North-Bank region of the river Brahmaputra, India. Three probability distributions i.e. generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA) has been used for each level of LH-moments i.e. L, L1, L2, L3 and L4. The regional frequency analysis procedure proposed by Hosking and Wallis (Water Resour Res 29(2):271–281, 1993) for L-moments i.e. discordancy measure for screening the data, heterogeneity measure for formation of homogeneous region and goodness-of-fit test have been used for each level of LH-moments. Based on the LH-moment ratio diagram and ∣Z∣-statistic criteria, GEV distribution for level one LH-moment is identified as the robust distribution for the study area. For estimation of floods of various return periods for both gauged and ungauged catchments of the study area, regional flood frequency relationships have been developed by using the level one LH-moment based on GEV distribution. A comparative study has been performed between L-moments and LH-moments for the study area. It is observed from comparative study that the regional flood frequency analysis based on the GEV distribution by using level one LH-moment (L1) is superior to the use of L-moments.
Regional flood frequency analysis GEV distribution LH-moment ratio diagram
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Atiem IA, Harmancioglu NB (2006) Assessment of regional floods using L-moments approach: the case of the River Nile. Water Resour Manag 20:723–747CrossRefGoogle Scholar
Dalrymple T (1960) Flood frequency methods, U.S. Geological Survey Water Supply paper, 1543AGoogle Scholar
Greenwood JA, Landwehr JM, Matlas NC, Wallis JR (1979) Probability weighted moments: definition and relation to parameters of several distributions expressible in inverse form. Water Resour Res 15(5):1049–1054CrossRefGoogle Scholar
Hosking JRM (1990) L-moments: analysis and estimation of distributions using linear combinations of order statistics. J R Stat Soc Ser B Methodol 52(1):105–124Google Scholar
Hosking JRM, Wallis JR (1993) Some statistics useful in regional frequency analysis. Water Resour Res 29(2):271–281CrossRefGoogle Scholar
Hosking JRM, Wallis JR (1997) Regional frequency analysis—an approach based on L-moments. Cambridge University Press, New YorkCrossRefGoogle Scholar
Kumar R, Chatterjee C (2005) Regional flood frequency analysis using L-moments for North Brahmaputra Region of India. J Hydrol Eng 4(3):240–244CrossRefGoogle Scholar
Kumar R, Singh RD, Seth SM (1999) Regional flood formulas for seven subzones of zone 3 of India. J Hydrol Eng 4(3):240–244CrossRefGoogle Scholar
Kumar R, Chatterjee C, Kumar S, Lohani AK (2003) Development of regional flood frequency relationship using L-moments for Middle Ganga Plains Subzone 1(f) of India. Water Resour Manag 17:243–257CrossRefGoogle Scholar
Meshgi A, Khalili D (2007a) Comprehensive evaluation of regional flood frequency analysis by L- and LH-moments. I. A re-visit to regional homogeneity. Stoch Environ Res Risk Assess 23:119–135. doi:10.1007/s00477-007-0201-7CrossRefGoogle Scholar
Meshgi A, Khalili D (2007b) Comprehensive evaluation of regional flood frequency analysis by L- and LH-moments. II. Development of LH-moments parameters for the generalized Pareto and generalized logistic distributions. Stoch Environ Res Risk Assess 23:137–152. doi:10.1007/s00477-007-0202-6CrossRefGoogle Scholar
Paradia BP, Kachroo RK, Shrestha DB (1998) Regional flood frequency analysis of Mahi-Sabarmati Basin (Subzone 3-a) using index flood procedure with L-moments. Water Resour Manag 12:1–12CrossRefGoogle Scholar