FACTOR ANALYSIS OF DRAINAGE BASIN PROPERTIES: CLASSIFICATION OF FLOOD BEHAVIOR IN TERMS OF BASIN GEOMORPHOLOGY¹

Abstract

Basin parameters such as drainage density, channel slope, shape factors, and a geometric factor were used in a factor analysis of 112 basins in Pennsylvania and surrounding states. Three distinct homogeneous definable groups resulted. Group I basins were those with an area on the order of 100 square miles, low channel slopes, and/or located within the western glaciated portion of Pennsylvania. Watersheds underlain by carbonate rocks or glacial tills constituted Group 11. A main channel slope of greater than 0.017 in a high precipitation area or a small drainage area were the criteria for Group III basins. There exists a continuous range from Group I basins, where absorption was high to the Group III basins where either the storm pattern or the absorbing character of the soils gave a very low absorption.

Selection of variables for the purpose of regionalization of Iran's precipitation climate using multivariate methods

“…This method frequently appears in climatic (Anyadike, 1987;Johnson and Hanson, 1995;Bartzokas et al, 2003) or hydrologic studies (White, 1975;Beaudoin and Rousselle, 1982). The 77 £ 12 matrix of standardized selected variables, which was defined by PA in Section 2.4, was subjected to FA.…”

Regionalization of extreme precipitation estimates for the Alabama rainfall atlas

“…Alternative approaches that have been applied include partitioning of sites based on seasonality considerations (Gingras et al, 1994); likelihood-ratio statistics (Wiltshire, 1985); and cluster, factor, and principal components analyses (DeCoursey, 1973;White, 1975;Acreman and Sinclair, 1986;Burn, 1988Burn, , 1989Guttman, 1993). Fiorentino et al (1987); Gabriele and Arnell (1991) have proposed the use of hierarchical regions where shape parameters are assumed to be constant over large regions, and scale parameters are assumed to be constant over smaller sub-regions.…”

Spatio-temporal analysis of extreme precipitation regimes across South Korea and its application to regionalization

“…An alternative approach, considering different hydrologic properties such as seasonality (Gingras et al, 1994) and likelihood-ratio statistics (Wiltshire, 1985) has been applied and considered in the partitioning of sites. Many clustering techniques such as K-means, factor and principal component analysis with hydrological properties are commonly used to label meteorological sites as regional identification (White, 1975;Acreman and Sinclair, 1986;Burn, 1988Burn, , 1989Guttman, 1993;Fragoso and Gomes, 2008;Hsu and Li, 2010;Rao and Srinivas, 2006).…”