2020
DOI: 10.1007/s40808-020-00839-1
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Modeling of magnitude and frequency of floods on the Narmada River: India

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Cited by 14 publications
(7 citation statements)
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“…An investigation of extreme hydro-meteorological events for the design of hydraulic structures is essential [17]. Historic pre-instrumental records and longest stream flow 2 of 17 time series data have great significance in the design of hydraulic structures, namely, dams, bridges, and culverts [18].…”
Section: Introductionmentioning
confidence: 99%
“…An investigation of extreme hydro-meteorological events for the design of hydraulic structures is essential [17]. Historic pre-instrumental records and longest stream flow 2 of 17 time series data have great significance in the design of hydraulic structures, namely, dams, bridges, and culverts [18].…”
Section: Introductionmentioning
confidence: 99%
“…At-site FFA is the utmost direct approximation of design flood amongst numerous FFA techniques [ 25 ]. The precision of an estimated magnitude and return period significantly governed by the availability of continuous and long-term observed peak discharge data [ 26 , 27 ]. However, short annual peak discharge archives are the main limitations of the FFA [ [28] , [29] , [30] ].…”
Section: Introductionmentioning
confidence: 99%
“…Pekarova et al [ 48 ] recommend the LP-III as the most suitable distribution for FFA of the Danube River at Bratislava, Slovakia. In India, many investigators have used the GEVI and LP-III distributions for the FFA of monsoon-dominated rivers such as the Tapi River [ 49 ], Mahi River [ 32 ], Jhelum River [ 50 ], Rapti River [ 51 ], Narmada River [ 27 ], and the Krishna River [ 52 ].…”
Section: Introductionmentioning
confidence: 99%
“…When compared to light-tailed distributions, their results showed that heavy-tailed distributions offer a more precise estimate of the maximum daily rainfall values. In another study, two types of distributions, namely Gumbel extreme value type-I and Log Pearson type-III, were applied to model the magnitude and frequency of food events in Narmada River, India [26]. In another research, three different probability distributions were employed for modeling the peak discharge of the Jhelum River [27].…”
Section: Introductionmentioning
confidence: 99%