TY - JOUR
T1 - Catchment drainage network scaling laws found experimentally in overland flow morphologies
AU - Cheraghi, Mohsen
AU - Rinaldo, Andrea
AU - Sander, Graham
AU - Perona, Paolo
AU - Barry, Andrew
PY - 2018/9/5
Y1 - 2018/9/5
N2 - The scaling relation between the drainage area and stream length (Hack's law), along with exceedance probabilities of drainage area, discharge and upstream flow network length are well known for channelized fluvial regions. We report here on a laboratory experiment on an eroding unconsolidated sediment for which no channeling occurred. Laser scanning was used to capture the morphological evolution of the sediment. High intensity, spatially non‐uniform rainfall ensured that the morphology changed substantially over the 16‐h experiment. Based on the surface scans and precipitation distribution, overland flow was estimated with the D8 algorithm, which outputs a flow network that was analyzed statistically. The abovementioned scaling and exceedance probability relationships for this overland flow network are the same as those found for large scale catchments and for laboratory experiments with observable channels. In addition, the scaling laws were temporally invariant, even though the network dynamically changed over the course of experiment.
AB - The scaling relation between the drainage area and stream length (Hack's law), along with exceedance probabilities of drainage area, discharge and upstream flow network length are well known for channelized fluvial regions. We report here on a laboratory experiment on an eroding unconsolidated sediment for which no channeling occurred. Laser scanning was used to capture the morphological evolution of the sediment. High intensity, spatially non‐uniform rainfall ensured that the morphology changed substantially over the 16‐h experiment. Based on the surface scans and precipitation distribution, overland flow was estimated with the D8 algorithm, which outputs a flow network that was analyzed statistically. The abovementioned scaling and exceedance probability relationships for this overland flow network are the same as those found for large scale catchments and for laboratory experiments with observable channels. In addition, the scaling laws were temporally invariant, even though the network dynamically changed over the course of experiment.
U2 - 10.1029/2018GL078351
DO - 10.1029/2018GL078351
M3 - Article
SN - 0094-8276
JO - Geophysical Research Letters
JF - Geophysical Research Letters
ER -