Investigating the periodicities of step-pool sequences in alluvial mountain streams

The geographical analysis of water problems

Auteur(s) et Affiliation(s)

GAO, P.

Dep. of Geography, Univ., Syracuse, Etats-Unis

CHEN, C.

School of Management, Univ., Syracuse, Etats-Unis

WENTZ, E.A.

School of Geographical Sciences and Urban Planning, Arizona State Univ., Tempe, Etats-Unis

Description :
The AA. apply both spectral analysis and autoregressive integrated moving average (ARIMA) modeling, a parsimonious stochastic approach to 11 alluvial mountain step-pool streams for identifying their periodicities. They interpolate the original sequences into those with 4 different equal-space intervals, and demonstrate that the differencing detrending method is statistically more effective to transform the sequences into stationary ones than the commonly used linear detrending method. A general procedure for identifying the periodicity of a step-pool sequence using spectral analysis with the differencing detrending method and multiple equal-space intervals is proposed. The identified periodicities might serve as an independent morphologic index to infer hydraulic processes controlling the formation of the alluvial step-pools because they are significantly related to spill resistance of the alluvial step-pools.

Type de document :
Article de monographie

Source :
Geographical analysis, issn : 0016-7363, 2012, vol. 44, n°. 3, p. 258-277, nombre de pages : 20, Références bibliographiques : 39 ref.

Date :
2012

Editeur :
Pays édition : Etats-Unis, Columbus, OH, Ohio State University Press

Langue :
Anglais