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Evaluation of the Index-Flood Approach Related Regional Frequency Analysis Procedures

Basu, Bidroha and Srinivas, VV (2016) Evaluation of the Index-Flood Approach Related Regional Frequency Analysis Procedures. In: JOURNAL OF HYDROLOGIC ENGINEERING, 21 (1).

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Official URL: http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.00012...


Index-flood related regional frequency analysis (RFA) procedures are in use by hydrologists to estimate design quantiles of hydrological extreme events at data sparse/ungauged locations in river basins. There is a dearth of attempts to establish which among those procedures is better for RFA in the L-moment framework. This paper evaluates the performance of the conventional index flood (CIF), the logarithmic index flood (LIF), and two variants of the population index flood (PIF) procedures in estimating flood quantiles for ungauged locations by Monte Carlo simulation experiments and a case study on watersheds in Indiana in the U.S. To evaluate the PIF procedure, L-moment formulations are developed for implementing the procedure in situations where the regional frequency distribution (RFD) is the generalized logistic (GLO), generalized Pareto (GPA), generalized normal (GNO) or Pearson type III (PE3), as those formulations are unavailable. Results indicate that one of the variants of the PIF procedure, which utilizes the regional information on the first two L-moments is more effective than the CIF and LIF procedures. The improvement in quantile estimation using the variant of PIF procedure as compared with the CIF procedure is significant when the RFD is a generalized extreme value, GLO, GNO, or PE3, and marginal when it is GPA. (C) 2015 American Society of Civil Engineers.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the ASCE-AMER SOC CIVIL ENGINEERS, 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
Keywords: Flood frequency (BT: Frequency); Regional analysis (BT: Analysis); Distribution functions (NT: Probability distribution); Indiana (BT: United States)
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Depositing User: Id for Latest eprints
Date Deposited: 14 Jan 2016 06:03
Last Modified: 14 Jan 2016 06:03
URI: http://eprints.iisc.ac.in/id/eprint/53076

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