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Water Resources Management
Erschienen in: Water Resources Management 6/2015

01.04.2015

Regional Flood Frequency Analysis using Soft Computing Techniques

verfasst von: Rakesh Kumar, Narendra K. Goel, Chandranath Chatterjee, Purna C. Nayak

Erschienen in: Water Resources Management | Ausgabe 6/2015

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Abstract

For design of various types of hydraulic structures as well as for taking different flood management measures flood frequency estimates are required. Regional flood frequency analysis is carried out employing L-moments and soft computing techniques viz. artificial neural network (ANN) and fuzzy inference system (FIS) for the lower Godavari subzone 3(f) of India. The study area covers an areal extent of 174,201 km2 and annual maximum peak flood data of 17 catchments ranging in size from 35 to 824 km2 are used. The data screening is carried out employing L-moments based Discordancy measure (Di) and regional homogeneity is examined based on the heterogeneity measure (H). On the basis of the L-moment ratio diagram and Z i dist –statistic criteria, Pearson Type III (PE3) distribution is chosen as the suitable frequency distribution for the region. For the region under study, a relationship is developed between mean annual maximum peak flood and area of the catchment using the Levenberg-Marquardt (LM) iteration and the same is coupled with the PE3 based regional flood frequency relationship developed for estimation of floods of various frequencies for the ungauged catchments of the region. The regional flood frequency relationships developed based on L-moments and soft computing techniques are compared.
Vorheriger Artikel Evaluation of Markov Chain Based Drought Forecasts in an Andean Regulated River Basin Using the Skill Scores RPS and GMSS
Nächster Artikel Integrating Process and Factor Understanding of Environmental Innovation by Water Utilities

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Metadaten
Titel
Regional Flood Frequency Analysis using Soft Computing Techniques
verfasst von
Rakesh Kumar
Narendra K. Goel
Chandranath Chatterjee
Purna C. Nayak
Publikationsdatum
01.04.2015
Verlag
Springer Netherlands
Erschienen in
Water Resources Management / Ausgabe 6/2015
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-015-0922-1

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