ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Regional flood frequency analysis using kernel- based fuzzy clustering approach

Basu, Bidroha and Srinivas, VV (2014) Regional flood frequency analysis using kernel- based fuzzy clustering approach. In: WATER RESOURCES RESEARCH, 50 (4). pp. 3295-3316.

[img] PDF
wat_RES_RES_50-4_3295_2014.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: http://dx.doi.org/10.1002/2012WR012828


Regionalization approaches are widely used in water resources engineering to identify hydrologically homogeneous groups of watersheds that are referred to as regions. Pooled information from sites (depicting watersheds) in a region forms the basis to estimate quantiles associated with hydrological extreme events at ungauged/sparsely gauged sites in the region. Conventional regionalization approaches can be effective when watersheds (data points) corresponding to different regions can be separated using straight lines or linear planes in the space of watershed related attributes. In this paper, a kernel-based Fuzzy c-means (KFCM) clustering approach is presented for use in situations where such linear separation of regions cannot be accomplished. The approach uses kernel-based functions to map the data points from the attribute space to a higher-dimensional space where they can be separated into regions by linear planes. A procedure to determine optimal number of regions with the KFCM approach is suggested. Further, formulations to estimate flood quantiles at ungauged sites with the approach are developed. Effectiveness of the approach is demonstrated through Monte-Carlo simulation experiments and a case study on watersheds in United States. Comparison of results with those based on conventional Fuzzy c-means clustering, Region-of-influence approach and a prior study indicate that KFCM approach outperforms the other approaches in forming regions that are closer to being statistically homogeneous and in estimating flood quantiles at ungauged sites. Key Points <list id=''wrcr20861-list-0001'' list-type=''plain''> <list-item id=''wrcr20861-li-0001''>Kernel-based regionalization approach is presented for flood frequency analysis <list-item id=''wrcr20861-li-0002''>Kernel procedure to estimate flood quantiles at ungauged sites is developed <list-item id=''wrcr20861-li-0003''>A set of fuzzy regions is delineated in Ohio, USA

Item Type: Journal Article
Additional Information: copyright for this article belongs to AMER GEOPHYSICAL UNION, 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
Keywords: regionalization; floods; clustering; L-moments
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 24 Jun 2014 06:55
Last Modified: 24 Jun 2014 06:55
URI: http://eprints.iisc.ac.in/id/eprint/49326

Actions (login required)

View Item View Item