Access the full text.
Sign up today, get DeepDyve free for 14 days.
T. Burt, D. Butcher (1985)
Topographic controls of soil moisture distributionsEuropean Journal of Soil Science, 36
P. Quinn, K. Beven, P. Chevallier, O. Planchon (1991)
THE PREDICTION OF HILLSLOPE FLOW PATHS FOR DISTRIBUTED HYDROLOGICAL MODELLING USING DIGITAL TERRAIN MODELSHydrological Processes, 5
D. Wolock, G. McCabe (1995)
Comparison of Single and Multiple Flow Direction Algorithms for Computing Topographic Parameters in TOPMODELWater Resources Research, 31
J. O'Callaghan, D. Mark (1984)
The extraction of drainage networks from digital elevation dataComput. Vis. Graph. Image Process., 28
D. Tarboton (1997)
A new method for the determination of flow directions and upslope areas in grid digital elevation modelsWater Resources Research, 33
I. Moore, R. Grayson, A. Ladson (1991)
Digital terrain modelling: A review of hydrological, geomorphological, and biological applicationsHydrological Processes, 5
R. Erskine, T. Green, J. Ramirez, L. Macdonald (2006)
Comparison of grid‐based algorithms for computing upslope contributing areaWater Resources Research, 42
M. Costa-Cabral, S. Burges (1994)
Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areasWater Resources Research, 30
P. Quinn, K. Beven, R. Lamb (1995)
The in(a/tan/β) index:how to calculate it and how to use it within the topmodel frameworkHydrological Processes, 9
M. Kirkby, K. Beven (1979)
A physically based, variable contributing area model of basin hydrology, 24
S. Orlandini, G. Moretti, M. Franchini, B. Aldighieri, B. Testa (2003)
Path‐based methods for the determination of nondispersive drainage directions in grid‐based digital elevation modelsWater Resources Research, 39
P. Holmgren (1994)
Multiple flow direction algorithms for runoff modelling in grid based elevation models: An empirical evaluationHydrological Processes, 8
Gridded digital elevation data, often referred to as DEMs, are one of the most widely available forms of environmental data. Topographic analysis of DEMs can take many forms, but in hydrologic and geomorphologic applications it is typically used as a surrogate for the spatial variation of hydrological conditions (topographic indices) and flow routing. Here we report on a new flow routing algorithm and compare it to three common classes of algorithms currently in widespread use. The advantage of the new algorithm is that unrealistic dispersion on planar or concave hillslopes is avoided, whereas multiple flow directions are allowed on convex hillslopes. We suggest that this new triangular multiple flow direction algorithm (MD∞) is more appropriate for a range of flow routing and topographic index applications.
Water Resources Research – Wiley
Published: Apr 1, 2007
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.