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Published January 7, 2020 | Supplemental Material + Published
Journal Article Open

Universal relation with regime transition for sediment transport in fine-grained rivers

Abstract

Fine-grained sediment (grain size under 2,000 μm) builds floodplains and deltas, and shapes the coastlines where much of humanity lives. However, a universal, physically based predictor of sediment flux for fine-grained rivers remains to be developed. Herein, a comprehensive sediment load database for fine-grained channels, ranging from small experimental flumes to megarivers, is used to find a predictive algorithm. Two distinct transport regimes emerge, separated by a discontinuous transition for median bed grain size within the very fine sand range (81 to 154 μm), whereby sediment flux decreases by up to 100-fold for coarser sand-bedded rivers compared to river with silt and very fine sand beds. Evidence suggests that the discontinuous change in sediment load originates from a transition of transport mode between mixed suspended bed load transport and suspension-dominated transport. Events that alter bed sediment size near the transition may significantly affect fluviocoastal morphology by drastically changing sediment flux, as shown by data from the Yellow River, China, which, over time, transitioned back and forth 3 times between states of high and low transport efficiency in response to anthropic activities.

Additional Information

© 2019 The Author(s). Published under the PNAS license. Contributed by Gary Parker, October 31, 2019 (sent for review July 1, 2019; reviewed by Ton Hoitink and Heidi Nepf) We thank the reviewers of this paper for their constructive comments. H.M., J.A.N., M.P.L., K.N., A.J.M., and G.P. gratefully acknowledge the NSF of the United States for support through Division of Earth Science (EAR) Grant 1427262. B.W. acknowledges support from the National Key R&D Program of China through Grant 2017YFC0405202. X.F. acknowledges support from the National Natural Science Foundation of China (NSFC) through Grants 51525901 and 91747207. Y.Z. acknowledges support from NSFC through Grant 51379087. Y.W. acknowledges support from NSFC through Grants 51539004, 51679104, and 51509102. A.J.M. acknowledges support from the NSF Graduate Research Fellowship under Grant 145068. H.M. acknowledges the financial support from the Department of Earth, Environmental and Planetary Sciences at Rice University. Data compiled for this study have been deposited on the online data archive figshare (DOI: 10.6084/m9.figshare.10060241). Author contributions: H.M., J.A.N., and G.P. designed research; H.M., J.A.N., B.W., Y.Z., D.M., X.F., K.N., Y.W., A.J.M., G.W., and C.H. performed research; H.M. and X.F. contributed new reagents/analytic tools; H.M., M.P.L., and G.P. analyzed data; and H.M., J.A.N., M.P.L., and G.P. wrote the paper. Reviewers: T.H., Wageningen University & Research; and H.N., Massachusetts Institute of Technology. The authors declare no competing interest. This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1911225116/-/DCSupplemental.

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Published - 171.full.pdf

Supplemental Material - pnas.1911225116.sapp.pdf

Supplemental Material - pnas.1911225116.sm01.mp4

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023