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A similarity approach to predict landscape saturation in catchments
Author(s) -
Aryal Santosh K.,
O'Loughlin Emmett M.,
Mein Russell G.
Publication year - 2002
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2001wr000864
Subject(s) - dimensionless quantity , saturation (graph theory) , surface runoff , similarity (geometry) , mathematics , soil science , convergence (economics) , geometry , hydrology (agriculture) , statistics , geology , geotechnical engineering , computer science , ecology , physics , mechanics , combinatorics , artificial intelligence , image (mathematics) , biology , economic growth , economics
An investigation into landscape saturation has been carried out analytically using similarity parameters derived from topographic, soil, and climatic attributes. Three parameters (an input index ( q / Z )( L / KS ), convergence ratio ( CR ), and profile factor ( B )) define the extent of hillslope saturation. From these, a single dimensionless parameter has been derived to describe the occurrence of saturation in planar, concave, and convex profile hillslope shapes, and with parallel, convergent, and divergent planforms. The relationship can be represented by a single dimensionless curve. The theory derived in this paper provides a basis for combining the individual parameters into a similarity criterion for saturation in landscapes. The theory and ensuing similarity hypothesis are applied to three natural catchments near Canberra, Australia, and are tested against observed rainfall‐runoff data. The results support the validity of the similarity approach. There is a clear link between the distribution of hillslope similarity parameters and catchment saturation behavior.