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Effect of Identification of Extremes on Regional Flood Frequency Analysis

Kiran, KG and Srinivas, VV (2022) Effect of Identification of Extremes on Regional Flood Frequency Analysis. In: International Virtual Conference on Innovative Trends in Hydrological and Environmental Systems, ITHES 2021, 28 - 30 April 2021, Virtual, Online, pp. 329-340.

Full text not available from this repository.
Official URL: https://doi.org/10.1007/978-981-19-0304-5_24


Frequency analysis procedures are widely used to quantify the risk associated with floods that have devastating consequences worldwide. Conventionally, the frequency analysis is performed based on the annual maximum series (AMS) of peak flows extracted from the available streamflow records. Peaks over threshold or partial duration series (PDS) is deemed more efficient than AMS in depicting information on extremes. Despite its advantages, the use of PDS is less prevalent than AMS. It is due to the lack of a universally established systematic approach to select an appropriate threshold for PDS extraction. Another issue in flood risk assessment at target locations is sparsity or lack of data. In such situations, practitioners opt for regional flood frequency analysis (RFFA) approaches that involve regionalization (locating groups/regions comprising resembling watersheds) and pooling of flood-related information from outlets of the watersheds to estimate desired flood quantile(s) at the target sites. Most RFA approaches are focused on using AMS rather than PDS. This chapter investigates the effect of using AMS and PDS on the error in flood quantile estimation at ungauged sites in RFFA. For this purpose, fuzzy meta-regions (FMRs) delineated in peninsular India using fuzzy ensemble clustering and existing sub-zones in the area used by Central Water Commission (CWC) are considered. Errors were consistently lower in analysis with FMRs than CWC sub-zones, irrespective of the type of extremes (AMS or PDS) considered. Furthermore, PDS yielded lower errors for higher return periods. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Item Type: Conference Paper
Publication: Lecture Notes in Civil Engineering
Publisher: Springer Science and Business Media Deutschland GmbH
Additional Information: The copyright for this article belongs to The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keywords: Errors; Flood control; Risk assessment; Watersheds, Annual maximum series; Automatic threshold selection; Clusterings; Ensemble clustering; Frequency Analysis; Fuzzy ensemble clustering; Meta-clustering; Partial duration series; Peaks over threshold; Regional flood frequency analysis, Floods
Department/Centre: Division of Interdisciplinary Sciences > Interdisciplinary Centre for Water Research
Division of Mechanical Sciences > Civil Engineering
Date Deposited: 28 Jun 2022 09:35
Last Modified: 28 Jun 2022 09:35
URI: https://eprints.iisc.ac.in/id/eprint/74088

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