GSTDTAP  > 资源环境科学
DOI10.1029/2020WR027199
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
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).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Tian Y. Dong]的文章
[Jeffrey A. Nittrouer]的文章
[Brandon McElroy]的文章
百度学术
百度学术中相似的文章
[Tian Y. Dong]的文章
[Jeffrey A. Nittrouer]的文章
[Brandon McElroy]的文章
必应学术
必应学术中相似的文章
[Tian Y. Dong]的文章
[Jeffrey A. Nittrouer]的文章
[Brandon McElroy]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。