Multivariate Techniques for the Identification of Homogeneous Flood Frequency Regions

Wiltshire, S. E.; Beran, Max

doi:10.1007/978-94-009-3959-2_11

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The proposed formulation is based additionally on the idea that a group of variables is able to specify by themselves, a certain resemblance, that when graphed in a diagram, they will reveal similarities or grouping characteristics among them. This consideration is often employed in a systematic way in the delineation of hydrologic homogeneous regions (Everitt 1978;Wiltshire and Beran 1987;Donald 1988;Nathan and McMahon 1990).…”

Section: Methodsmentioning

confidence: 99%

Risk Zone Prediction in Meandering Rivers by Using a Multivariate Approach

et al. 2014

View full text Add to dashboard Cite

The formulation of Kinoshita curves takes into account a number of physiographic characteristics and the configuration of the river; however, it is the curve amplitude, the one that represents the main characteristic of this formulation. This main feature is known as the angular sinuosity coefficient (θ). In this paper an alternative expression for meander prediction formulation, based on a stochastic multivariate analysis of the geomorphologic and physiographic characteristics of a river is proposed. Stochastic models are used to simulate 3,480 occurrences of the sixteen characteristics proposed to characterize the meandering of Cahuacan River in the Mexican state of Chiapas. The prioritization of the variables obtained through an empirical orthogonal functions (EOF) analysis clearly showed the existence of three groups of parameters, which altogether explain the behavior of the meandering of Cahuacan River. The first group is formed by the morphologic characteristics of the river. The second group corresponds to the hydrologic features of the basin, and the third one to the morphologic and geometric characteristics of the river. The computation of the confidence limits, although from a statistical approach, constitutes a good tool to consolidate the arguments that define the zones at potential risk. The stochastic simulation of the future conditions of the river allows the precise definition of the zones directly in the field.

show abstract

Section: Methodsmentioning

confidence: 99%

Risk Zone Prediction in Meandering Rivers by Using a Multivariate Approach

et al. 2014

View full text Add to dashboard Cite

show abstract

“…La selección de variables que se utiliz proviene de una análisis multivariado y se basa en la idea de que un conjunto de variables son capaces de especificar por si solas una cierta semejanza, que dibujadas en un diagrama revelarán similitudes (o agrupaciones) entre cada una de ellas. Esta consideración se emplea sistemáticamente en la delimitación de regiones hidrológicamente homogéneas en hidrología (Everitt, 1978;Wiltshire y Beran, 1987;Donald, 1988;Nathan y McMahon, 1990). Este tipo de desarrollo multivariado prevé una discriminación previa de variables, la cual sirve para resaltar la importancia de cada una de las características empleadas.…”

Section: Funcionamiento Fluvial De Los Ríos Los Izotes Y Las Calabazasunclassified

Aplicación de la ecuación de Kinoshita para la delimitación de la zona de funcionamiento óptimo de un estero costero

Gutiérrez-López

Jiménez²

2015

Aqua-LAC

View full text Add to dashboard Cite

Se utiliza la formulación propuesta por Kinoshita para estimar la evolución del meandro en ríos, empleando las características fisiográficas de un cauce. Como principal característica se emplea la sinuosidad y la amplitud de las curvas; representadas por un coeficiente de sinuosidad angular. En este trabajo se presenta una fórmula alternativa basada en un análisis estocástico multivariado de las características hidráulicas del conjunto fluvial representado por un estero y dos ríos en confluencia. Asimismo, se utiliza una modelación hidráulica bidimensional para comparar los resultados del ancho óptimo del estero. Se aplican estos procedimientos en el conjunto estero San Pancho-Los Izotes-Las Calabazas ubicados en el estado de Nayarit, México. La comparación de los anchos obtenidos por ambos procedimientos permite estimar una zona de funcionamiento óptimo y definir en consecuencia zonas de riesgo potencial de inundación.

show abstract

A hierarchical approach to regional flood frequency analysis

Gabriele¹,

Arnell²

1991

Water Resources Research

View full text Add to dashboard Cite

A hierarchical approach to regional flood frequency estimation is described, where higher-order parameters controlling the skewness of annual maximum floods are determined from larger regions than are used for determining parameters controlling the coefficient of variation. Procedures based on two-component extreme value and generalized extreme value distributions are developed, and it is shown that dividing a region into subregions to estimate some parameters can lead to more precise quantile estimates. The practical problem of defining the optimum number of subregions is discussed.Prot. Idrogeol., Cosenza, Italy, 1987.Wiltshire, S., and M. Beran, Multivariate techniques for the identification of homogeneous flood frequency regions in Regional Flood Frequency Analysis, edited by V. P. Singh, pp. 133-145, D.Reidel, Norwell, Mass., 1987.

show abstract

Multivariate Techniques for the Identification of Homogeneous Flood Frequency Regions

Cited by 4 publications

References 6 publications

Risk Zone Prediction in Meandering Rivers by Using a Multivariate Approach

Risk Zone Prediction in Meandering Rivers by Using a Multivariate Approach

Aplicación de la ecuación de Kinoshita para la delimitación de la zona de funcionamiento óptimo de un estero costero

A hierarchical approach to regional flood frequency analysis

Contact Info

Product

Resources

About