Effect of Data Length on Assessment of Dependable Flow from Flow Duration Curve using Empirical Method

N. Vivekanandan¹

Section:Research Paper, Product Type: Journal-Paper
Vol.11 , Issue.2 , pp.7-11, Jun-2024

Online published on Jun 30, 2024

Copyright © N. Vivekanandan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Assessment of dependable flows at different probability of exceedance levels is considered as one of the important parameters for planning, design and management of various water related projects. For this purpose, the Flow Duration Curve (FDC) is considered by analyzing the available stream flow data at the site when adequate length of observed data is not available. This paper presented a study on effect of data length on assessment of dependable flows from FDCs using empirical method wherein the probability of exceedance for each sample is determined by Weibull and Blom plotting position formulae (PPF). The selection of most suitable PPF amongst Weibull and Blom applied in empirical method was made through qualitative assessment by the fitted curves of FDCs and quantitative assessment using model performance indicators viz., correlation coefficient and relative error. The study showed that the relative error obtained from the constructed FDCs by Blom is minimum than those value of Weibull though there is a good correlation between the observed and computed flows by the FDCs of Weibull and Blom. The study suggested that the dependable flows at different probability of exceedance levels given by the FDC with Blom PPF could be used for design purposes and various hydrologic analyses at a site.

Key-Words / Index Term :
Blom, Correlation coefficient, Empirical, Flow duration curve, Relative error, Stream flow, Weibull

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