Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Strahler (1952)
Hypsometric (area-altitude) analysis of erosional topography.Geological Society of America Bulletin, 63
A. Strahler (1957)
Quantitative analysis of watershed geomorphologyEos, Transactions American Geophysical Union, 38
D. Coates (1958)
Quantitative geomorphology of small drainage basins of southern Indiana
Strahler Strahler (1957)
Quantitative analysis of watershed geomorphologyEos Trans. AGU, 38
Parker Parker, Schumm Schumm (1971)
Temporal characteristics of a rapidly expanding drainage networkProgram Abstr., 3
S. Schumm (1956)
EVOLUTION OF DRAINAGE SYSTEMS AND SLOPES IN BADLANDS AT PERTH AMBOY, NEW JERSEYGeological Society of America Bulletin, 67
R. Horton (1945)
EROSIONAL DEVELOPMENT OF STREAMS AND THEIR DRAINAGE BASINS; HYDROPHYSICAL APPROACH TO QUANTITATIVE MORPHOLOGYGeological Society of America Bulletin, 56
D. Coffman, A. Turner, W. Melhorn (1971)
The W.A.T.E.R. System: Computer Programs For Stream Network Analysis
R. Shreve (1966)
Statistical Law of Stream NumbersThe Journal of Geology, 74
M. Morisawa (1964)
Development of drainage systems on an upraised lake floorAmerican Journal of Science, 262
The relationship between the number of links and the number of segments of natural drainage networks is restricted to a narrow envelope. Theoretically, within this envelope a family of curves with the general form y = 2x ‐ (2n ‐ 1) is defined, where y is the number of links, x is the number of segments, and n is the Strahler stream order defined for n = 2, 3, 4, or 5. A comparison of these curves with >100 natural drainage networks indicates that these curves delineate threshold and hypothetical boundary conditions that can be used to predict stream order. Although a number of Strahler orders are possible for a network composed of a fixed set of links and segments, the data suggest that only one most probable order appears in nature. As drainage networks develop from simple to complex, the range of bifurcation ratios fluctuates until a nearly constant value is reached. For any network of given order, the bifurcation ratio increases to an improbable value. When this value is reached, branching increases the order of the network, and thus the bifurcation ratio is decreased.
Water Resources Research – Wiley
Published: Dec 1, 1972
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.