1974
DOI: 10.1029/wr010i006p01178
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Patterns of variation in a fluvial system

Abstract: Sixteen hydromorphic variables, with observations grouped by stream order, were subjected to principal components analysis to investigate the manner in which variables interact in a downstream direction within a drainage basin. The degree of intercorrelation between variables in a fluvial system is influenced by geology, structure, and variation in the physical characteristics of stream basins. The contention here is that since the degree to which these factors are effective varies downstream in an orderly way… Show more

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Cited by 14 publications
(4 citation statements)
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References 23 publications
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“…Moreover, the PCA was applied on nonnormalized and normalized (with Ciμiσi, and with Ciμi) forms of the selected independent parameters, where C i is an independent parameter and μ i and σ i are the mean value and standard deviation of each independent parameter i for all the selected reaches, respectively. Previous studies suggested that two to three watershed parameters stand for the dominant loadings to the principal components (Onesti & Miller, ; Sharma et al, ). The investigation here adds subsurface parameters, such as hydraulic conductivity and Quaternary deposit thickness, which are believed to be important for surface water‐groundwater interaction.…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, the PCA was applied on nonnormalized and normalized (with Ciμiσi, and with Ciμi) forms of the selected independent parameters, where C i is an independent parameter and μ i and σ i are the mean value and standard deviation of each independent parameter i for all the selected reaches, respectively. Previous studies suggested that two to three watershed parameters stand for the dominant loadings to the principal components (Onesti & Miller, ; Sharma et al, ). The investigation here adds subsurface parameters, such as hydraulic conductivity and Quaternary deposit thickness, which are believed to be important for surface water‐groundwater interaction.…”
Section: Methodsmentioning
confidence: 99%
“…An analytical tool which is capable of accomplishing this task is the statistical method of factor analysis. The method has been widely used in many previous geomorphologic studies [e.g., Abrahams, 1972;Onesti and Miller, 1974;oebisemiju, 1979]. It is often used in conjunction with regression analyses to circumvent the problem of parameter interdependence.…”
Section: Relative Channel Density (Fs/d• 2) Combines Two Importantmentioning
confidence: 99%
“…These components are mutually orthogonal linear functions of the morphologic variables, such that the first component explains the greatest proportion of total variance in the data, the second component the next greatest proportion, etc. Rummel (1969) provides an excellent overview of this method and Onesti and Miller (1974) present an application in the context of fluvial geomorphology.…”
Section: Analysis Of Central Tendency and Dispersionmentioning
confidence: 99%