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- Title
Predicting Water and Sediment Partitioning in a Delta Channel Network Under Varying Discharge Conditions.
- Authors
Dong, Tian Y.; Nittrouer, Jeffrey A.; McElroy, Brandon; Il'icheva, Elena; Pavlov, Maksim; Ma, Hongbo; Moodie, Andrew J.; Moreido, Vsevolod M.
- Abstract
Channel bifurcations control the distribution of water and sediment in deltas, and the routing of these materials facilitates land building in coastal regions. Yet few practical methods exist to provide 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 delta, Russia. The data set includes 2.5 months of time‐continuous, synoptic measurements of water and sediment discharge partitioning covering a flood hydrograph. Results show that width, sinuosity, and bifurcation angle are the best remotely sensed, while cross‐sectional area and flow depth are the best field measured nodal relation variables to predict flow partitioning. These nodal relations are incorporated into a graph model, thus developing a generalized framework that predicts partitioning of water discharge and total, suspended, and bedload sediment discharge in deltas. Results from the model tested well against field data produced for the Wax Lake, Selenga, and Lena River deltas. When solely using remotely sensed variables, the generalized framework is especially suitable for modeling applications in large‐scale delta systems, where data and field accessibility are limited. Key Points: Channel width, sinuosity, and bifurcation angle are the best remotely sensed, nodal relation variables for predicting flow partitioningChannel cross‐sectional area and flow depth are the best field measured, nodal relation variables for predicting flow partitioningA field validated graph model is developed to accurately predict flux distribution in deltas, where gauge data are limited
- Subjects
RUSSIA; ACQUISITION of data; DELTAS; WATER distribution; SEDIMENTS; WATER
- Publication
Water Resources Research, 2020, Vol 56, Issue 11, p1
- ISSN
0043-1397
- Publication type
Article
- DOI
10.1029/2020WR027199