Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027199 |
Predicting water and sediment partitioning in a delta channel network under varying discharge conditions | |
Tian Y. Dong; Jeffrey A. Nittrouer; Brandon McElroy; Elena Il’; icheva; Maksim Pavlov; Hongbo Ma; Andrew J. Moodie; Vsevolod M. Moreido | |
2020-11-01 | |
发表期刊 | Water Resources Research
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出版年 | 2020 |
英文摘要 | 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 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 test 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. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/301850 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Tian Y. Dong,Jeffrey A. Nittrouer,Brandon McElroy,et al. Predicting water and sediment partitioning in a delta channel network under varying discharge conditions[J]. Water Resources Research,2020. |
APA | Tian Y. Dong.,Jeffrey A. Nittrouer.,Brandon McElroy.,Elena Il’.,icheva.,...&Vsevolod M. Moreido.(2020).Predicting water and sediment partitioning in a delta channel network under varying discharge conditions.Water Resources Research. |
MLA | Tian Y. Dong,et al."Predicting water and sediment partitioning in a delta channel network under varying discharge conditions".Water Resources Research (2020). |
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