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A recursive multi-scaling approach to regional flood frequency analysis

Basu, Bidroha and Srinivas, VV (2015) A recursive multi-scaling approach to regional flood frequency analysis. In: JOURNAL OF HYDROLOGY, 529 (1). pp. 373-383.

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Official URL: http://dx.doi.org/10.1016/j.jhydrol.2015.07.037 ...

Abstract

Scaling approaches are widely used by hydrologists for Regional Frequency Analysis (RFA) of floods at ungauged/sparsely gauged site(s) in river basins. This paper proposes a Recursive Multi-scaling (RMS) approach to RFA that overcomes limitations of conventional simple- and multi-scaling approaches. The approach involves identification of a separate set of attributes corresponding to each of the sites (being considered in the study area/region) in a recursive manner according to their importance, and utilizing those attributes to construct effective regional regression relationships to estimate statistical raw moments (SMs) of peak flows. The SMs are then utilized to arrive at parameters of flood frequency distribution and quantile estimate(s) corresponding to target return period(s). Effectiveness of the RMS approach in arriving at flood quantile estimates for ungauged sites is demonstrated through leave-one-out cross-validation experiment on watersheds in Indiana State, USA. Results indicate that the approach outperforms index-flood based Region-of-Influence approach, simple- and multi-scaling approaches and a multiple linear regression method. (C) 2015 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Publication: JOURNAL OF HYDROLOGY
Publisher: ELSEVIER SCIENCE BV
Additional Information: Copy right for this article belongs to the ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Keywords: Regional flood frequency analysis; Simple-scaling; Multi-scaling; Indiana State; Region-of-Influence approach
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 10 Dec 2015 06:21
Last Modified: 10 Dec 2015 06:21
URI: http://eprints.iisc.ac.in/id/eprint/52885

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