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Direct Observation of Heavy‐Tailed Storage Times of Bed Load Tracer Particles Causing Anomalous Superdiffusion
Author(s) -
Bradley D. Nathan
Publication year - 2017
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1002/2017gl075045
Subject(s) - tracer , plume , anomalous diffusion , stream power , diffusion , log normal distribution , physics , geology , meteorology , mathematics , nuclear physics , thermodynamics , statistics , geomorphology , sediment , knowledge management , innovation diffusion , computer science
Abstract A consensus has formed that the step length distribution of fluvial bed load is thin tailed and that the observed anomalous superdiffusion of bed load tracer particles must arise from heavy‐tailed resting times. However, heavy‐tailed resting times have never been directly observed in the field over multiple floods. Using 9 years of data from a large bed load tracer experiment, I show that the spatial variance of the tracer plume scales faster than linearly with integrated excess stream power, indicating anomalous superdiffusion. The superdiffusion is caused by a heavy‐tailed distribution of observed storage times that is fit with a truncated Pareto distribution with a tail parameter that is predicted by anomalous diffusion theory. The heavy‐tailed distribution of storage times causes the tracer virtual velocity to slow over time, indicated by a sublinear increase in the mean displacement that is predicted by the storage time distribution tail parameter.