(2021) Comparison of Generalized Extreme Value, Log Normal and Weibull Distributions for Assessment of Low-Flow. Journal of Civil Engineering and Urbanism. pp. 34-41. ISSN 22520430
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JCEU 11(4) 34-41, 2021.pdf - Published Version Download (1MB) |
Abstract
Assessment of low-flow is an important aspect for water quality management, reservoir storage design, determining minimum release policy and safe surface water withdrawals. For which, the annual minimum d-day average flow is generally adopted procedure for characterizing the low-flow in a stream, which can be obtained by averaging the flow using moving average method for ‘d’ consecutive days viz., 7-, 10-, 14- and 30- days. This paper presents a study on comparison of three probability distributions such as Generalized Extreme Value, 2-parameter Log Normal (LN2) and Weibull adopted in estimation of low-flow for river Cauvery at Kollegal gauging site. The parameters are determined by three methods viz., method of moments, maximum likelihood method and L-Moments (LMO), and are used for estimation of low-flow. The adequacy of fitting probability distributions adopted in low-flow frequency analysis is evaluated by quantitative assessment through Goodness-of-Fit (viz., Chi-Square and Kolmogorov-Smirnov) and diagnostic (viz., correlation coefficient and root mean squared error) tests, and qualitative assessment using the fitted curves of the estimated low-flow. The results of quantitative and qualitative assessments indicate that LN2 (LMO) is better suited amongst three distributions adopted in estimation of 7-, 10-, 14- and 30- day low-flows for river Cauvery at Kollegal site.
Item Type: | Article |
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Keywords: | Chi-Square, Correlation Coefficient, Low-flow, Generalized Extreme Value, Kolmogorov-Smirnov, L-Moments, Log Normal, Root Mean Squared Error, Weibull |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Journal of Civil Engineering and Urbanism (JCEU) |
Page Range: | pp. 34-41 |
Journal or Publication Title: | Journal of Civil Engineering and Urbanism |
Volume: | 11 |
Number: | 4 |
Publisher: | Scienceline Publication, Ltd |
Identification Number: | https://doi.org/10.54203/jceu.2021.5 |
ISSN: | 22520430 |
Depositing User: | Dr. Heydar Dehghanpour |
URI: | http://eprints.science-line.com/id/eprint/974 |
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