Articles | Volume 12, issue 6
https://doi.org/10.5194/esurf-12-1295-2024
https://doi.org/10.5194/esurf-12-1295-2024
Research article
 | 
25 Nov 2024
Research article |  | 25 Nov 2024

GraphFlood 1.0: an efficient algorithm to approximate 2D hydrodynamics for landscape evolution models

Boris Gailleton, Philippe Steer, Philippe Davy, Wolfgang Schwanghart, and Thomas Bernard

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Cited articles

Adams, B. A., Whipple, K. X., Forte, A. M., Heimsath, A. M., and Hodges, K. V.: Climate controls on erosion in tectonically active landscapes, Science Advances, 6, 42, https://doi.org/10.1126/sciadv.aaz3166, 2020. a
Anand, S. K., Hooshyar, M., and Porporato, A.: Linear layout of multiple flow-direction networks for landscape-evolution simulations, Environ. Modell. Softw., 133, 104804, https://doi.org/10.1016/j.envsoft.2020.104804, 2020. a, b, c, d, e, f
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Arcement, G. J. and Schneider, V. R.: Guide for selecting Manning's roughness coefficients for natural channels and flood plains, USGS Numbered Series 2339, U.S. G.P.O.; For sale by the Books and Open-File Reports Section, U.S. Geological Survey, https://doi.org/10.3133/wsp2339, 1989. a
Armitage, J. J.: Short communication: flow as distributed lines within the landscape, Earth Surf. Dynam., 7, 67–75, https://doi.org/10.5194/esurf-7-67-2019, 2019. a, b
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Short summary
We use cutting-edge algorithms and conceptual simplifications to solve the equations that describe surface water flow. Using quantitative data on rainfall and elevation, GraphFlood calculates river width and depth and approximates erosive power, making it a suitable tool for large-scale hazard management and understanding the relationship between rivers and mountains.