RESEARCH ARTICLE Predicting Water and Sediment Partitioning in a Delta 10.1029/2020WR027199 Channel Network Under Varying Key Points: • Channel width, sinuosity, and Discharge Conditions bifurcation angle are the best Tian Y. Dong1 , Jeffrey A. Nittrouer1 , Brandon McElroy2 , Elena Il'icheva3,4, remotely sensed, nodal relation 3 1 1 5 variables for predicting flow Maksim Pavlov , Hongbo Ma , Andrew J. Moodie , and Vsevolod M. Moreido partitioning 1 2 • Channel cross‐sectional area and Department of Earth, Environmental, and Planetary Sciences, Rice University, Houston, TX, USA, Department of flow depth are the best field Geology and Geophysics, University of Wyoming, Laramie, WY, USA, 3Laboratory of Hydrology and Climatology, V.B. measured, nodal relation variables Sochava Institute of Geography, Siberian Branch Russian Academy of Sciences, Irkutsk, Russia, 4Department of for predicting flow partitioning Hydrology and Environmental Sciences, Irkutsk State University, Irkutsk, Russia, 5Water Problems Institute, Russian • A field validated graph model is developed to accurately predict flux Academy of Sciences, Moscow, Russia distribution in deltas, where gauge data are limited Abstract Channel bifurcations control the distribution of water and sediment in deltas, and the routing Supporting Information: of these materials facilitates land building in coastal regions. Yet few practical methods exist to provide • Supporting Information S1 accurate predictions of flow partitioning at multiple bifurcations within a distributary channel network. Herein, multiple nodal relations that predict flow partitioning at individual bifurcations, utilizing various hydraulic and channel planform parameters, are tested against field data collected from the Selenga River Correspondence to: ‐ T. Y. Dong, delta, Russia. The data set includes 2.5 months of time continuous, synoptic measurements of water and
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