Regional Flood Formulas for Seven Subzones of Zone 3 of India

Kumar, Arun; Minocha, Vijay K.

doi:10.1061/(asce)1084-0699(2000)5:4(436)

Cited by 7 publications

(8 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This zone has been further divided into the nine subzones described in Table 1. Parida et al (1998) previously evaluated the homogeneity of one sub-zone from Zone 3 while Kumar et al (1999) developed flood formulae for the sub-zones in Zone 3. Sub-zones 3(g) and 3(i) have not been considered in the present study because of the lack of hydrometric data for these sub-zones.…”

Section: Description Of Study Areamentioning

confidence: 99%

The formation of groups for regional flood frequency analysis

Burn¹,

Goel

2000

Hydrological Sciences Journal

124

View full text Add to dashboard Cite

A new technique is developed for identifying groups for regional flood frequency analysis. The technique uses a clustering algorithm as a starting point for partitioning the collection of catchments. The groups formed using the clustering algorithm are subsequently revised to improve the regional characteristics based on three requirements that are defined for effective groups. The result is overlapping groups that can be used to estimate extreme flow quantiles for gauged or ungauged catchments. The technique is applied to a collection of catchments from India and the results indicate that regions with the desired characteristics can be identified using the technique. The use of the groups for estimating extreme flow quantiles is demonstrated for three example sites. La formation de groupes pour l'estimation régionale de la fréquence des cruesRésumé Nous avons développé une nouvelle technique afin de déterminer des groupes de bassins pour estimer la fréquence des crues à l'échelle régionale. Le point de départ de cette technique est un algorithme d'agrégation permettant de réaliser une partition de l'ensemble des bassins considérés. Afin d'améliorer la régionalisation les groupes ainsi formés sont ensuite modifiés en s'appuyant sur trois exigences définies de telle sorte que les groupes soient utilisables avec efficacité. Le résultat consiste en groupes pouvant se recouvrir qui peuvent être utilisés pour estimer les quantiles de crues extrêmes de stations jaugées ou non. Cette technique a été appliquée à un ensemble de bassins versants de l'Inde et les résultats montrent qu'elle permet d'estimer les caractéristiques désirées. Trois sites de démonstration ont fait l'objet de l'utilisation des groupes pour l'estimation des quantiles des crues extrêmes.

show abstract

Section: Description Of Study Areamentioning

confidence: 99%

The formation of groups for regional flood frequency analysis

Burn¹,

Goel

2000

Hydrological Sciences Journal

124

View full text Add to dashboard Cite

show abstract

“…The uncertainty of the PMP values from the IITM Atlas are further demonstrated from the study of Kumar et al (1999). They looked at the regional flood frequency for central India, including Gujarat State.…”

Section: Commentsmentioning

confidence: 99%

Correspondence

Clark,

Rakhecha

2000

Meteorological Applications

View full text Add to dashboard Cite

“…Analysis of precipitation data and other phenomena related to them is very important in order to obtain the appropriate probability distribution, which in turn helps to prediction and identify the characteristics of the data. Many of researches like as [10][11][12]18] used L-moments method based regional flood frequency to find flood frequency association for both gauged and ungauged catchments of a various area. In [13] applied the L-moment estimators for generalized Rayleigh distribution.…”

Section: Introductionmentioning

confidence: 99%

Rainfall frequency analysis using LH-moments approach: A case of Kemaman Station, Malaysia

Zakaria¹,

Suleiman²,

Mohamad³

2018

IJET

View full text Add to dashboard Cite

Statistical analysis of extreme events is often carried out to obtain the probability distribution of floods data and then predict the occurrence of floods for a significant return period. L-moments approach is known as the most popular approach in frequency analysis. This paper discusses comparison of the L-moments method with higher order moments (LH-moments) method. LH-moment, a generalization of Lmoment, which is proposed based on the linear combinations of higher-order statistics has been used to characterize the upper part of distributions and larger events in flood data. It is observed from a comparative study that the results of the analysis of observed data and the diagram based on the K3D-II distribution using LH-moments method is more efficient and reasonable than the L-moments method for estimating data of the upper part of the distribution events.

show abstract

Regional Flood Formulas for Seven Subzones of Zone 3 of India

Cited by 7 publications

References 3 publications

The formation of groups for regional flood frequency analysis

The formation of groups for regional flood frequency analysis

Correspondence

Rainfall frequency analysis using LH-moments approach: A case of Kemaman Station, Malaysia

Contact Info

Product

Resources

About