Frequency analysis of low flows at gaged points of the Ansung stream

Ahn, Tae Jin; Lyu, Heui Jeong; Yo, Woon Shik; Park, Jung E.

doi:10.1007/bf02830468

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Out of number of available probability distributions, the Extreme Value Type-1 (EV1) (commonly known as Gumbel), Gamma (GAM), Generalized Extreme Value (GEV), 2-parameter Log Normal (LN2), Log Pearson Type-3 (LP3), Pearson Type-3 (P3) and 2-parameter Weibull (WB2) are most commonly used in Low-flow Frequency Analysis (LFA) (Kroll and Vogel, 2002;Peng et al, 2010;Blum et al, 2017). Ahn et al (1998) applied the Power and SMEMAX (Small, MEdium and MAXimum) transformation, LN2, LP3 and WB2 distributions to estimate the 7-day and 30-day low-flows for different return periods at four gauged points of the Ansung stream in Korea. Bowers et al (2012) analyzed the seasonal river flow data and found both power law and LN2 distributions are relevant to dry seasons.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Generalized Extreme Value, Log Normal and Weibull Distributions for Assessment of Low-Flow

Vivekanandan¹

2021

JCEU

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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.

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Section: Introductionmentioning

confidence: 99%

Comparison of Generalized Extreme Value, Log Normal and Weibull Distributions for Assessment of Low-Flow

Vivekanandan¹

2021

JCEU

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Intercomparison of data transformation methods for the assessment of extreme rainfall

Vivekanandan

2023

JCE

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Assessment of extreme rainfall for a given return period is considered as one of the important aspects while planning, design and management of hydraulic and civil structures, which can be estimated through deterministic, probabilistic and transformation methods. This paper presents a study on intercomparison of five data transformation methods such as Square Root, Cube Root, Logarithmic, Box-Cox and modified SMEMAX (Small, MEdian, MAXimum) applied in assessing the extreme (i.e., 1-day maximum) rainfall of Gaganbawada, Lanja and Radhanagari sites. The adequacy of fitting transformation methods to the observed data was evaluated through a non-parametric Goodness-of-Fit test, Kolmogorov-Smirnov (KS) while the Relative Mean Squared Error (RMSE) was used for the selection of most suitable method for estimation of rainfall. The outcomes of the study with KS test results and RMSE values showed that the Square Root transformation is better suited method for the assessment of extreme rainfall for all three sites.

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Intercomparison of Log Normal and Weibull Distributions for Frequency Analysis of Low-Flows

Vivekanandan¹

2017

JFET

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Frequency analysis of low flows at gaged points of the Ansung stream

Cited by 3 publications

References 8 publications

Comparison of Generalized Extreme Value, Log Normal and Weibull Distributions for Assessment of Low-Flow

Comparison of Generalized Extreme Value, Log Normal and Weibull Distributions for Assessment of Low-Flow

Intercomparison of data transformation methods for the assessment of extreme rainfall

Intercomparison of Log Normal and Weibull Distributions for Frequency Analysis of Low-Flows

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