Effect of grain sorting on gravel bed river evolution subject to cycled hydrographs: Bed load sheets and breakdown of the hydrograph boundary layer

水槽 过程线 推移质 分类 地质学 沉积物 河床 泥沙输移 水文学(农业) 土壤科学 岩土工程 地貌学 机械 流量(数学) 几何学 数学 流域 地理 地图学 物理 算法
作者
Chenge An,Xudong Fu,Guangqian Wang,Gary Parker
出处
期刊:Journal Of Geophysical Research: Earth Surface [Wiley]
卷期号:122 (8): 1513-1533 被引量:33
标识
DOI:10.1002/2016jf003994
摘要

Abstract The evolution of gravel bed rivers under cycled hydrographs and constant sediment supply is studied in this paper. With the aid of numerical modeling and flume experiments, previous research has indicated that under such water and sediment supply conditions, a river can reach a mobile‐bed equilibrium characterized by a hydrograph boundary layer (HBL) located near the upstream end of the river. The HBL defines the spatial region within which riverbed topography and grain size respond to the hydrograph, and downstream of which these bed characteristics are invariant. However, neither the governing physical mechanisms nor the general applicability of the HBL is yet well understood. In this paper, we implement a 1‐D morphodynamic model for this problem. The model is first validated with data for both flume experiments and numerical simulations. It is then implemented at field scale with grain size distributions varying from uniform sediment to very poorly sorted sediment mixtures. Our results show that the idea of an HBL is applicable in the case of uniform sediment, but breaks down in the case of poorly sorted sediment mixtures. In such cases, persistent low‐amplitude bed load sheets emerge along the entire channel reach, in addition to HBL‐like upstream boundary effects. Bed load sheets can be described as surface texture or grain size sorting waves in consonance with low‐amplitude elevation variations, and are ascribed to nonlinear advection terms in the governing equations that vanish for uniform sediment, but become significant when sediment is very poorly sorted.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
乐乐的应助被qingwenwei采纳,获得10
2秒前
123完成签到,获得积分20
2秒前
科研通AI6.4的应助被门捷列夫采纳,获得10
3秒前
5秒前
lingkai完成签到,获得积分10
6秒前
闪闪的音响完成签到 ,获得积分10
7秒前
大个的应助被JennyZ采纳,获得10
8秒前
黑芝麻完成签到 ,获得积分10
9秒前
11秒前
11秒前
童123321发布了新的文献求助10
12秒前
13秒前
13秒前
14秒前
C1nderella完成签到,获得积分10
15秒前
led完成签到,获得积分0
15秒前
16秒前
米鲲泷发布了新的文献求助10
16秒前
科研通AI6.2的应助被Sally采纳,获得10
16秒前
qingwenwei发布了新的文献求助10
17秒前
17秒前
吴宣京发布了新的文献求助10
20秒前
20秒前
洛可可完成签到 ,获得积分10
21秒前
23秒前
24秒前
思源的应助被Sely采纳,获得10
24秒前
25秒前
zd完成签到 ,获得积分10
25秒前
门捷列夫发布了新的文献求助10
27秒前
29秒前
29秒前
脑洞疼的应助被蓝蓝的腿毛采纳,获得10
29秒前
Sally发布了新的文献求助10
29秒前
30秒前
30秒前
tyra完成签到,获得积分10
31秒前
31秒前
田様的应助被Galato采纳,获得10
31秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research 1000
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783182
求助须知:如何正确求助?哪些是违规求助? 9322558
关于积分的说明 20390432
捐赠科研通 7371839
什么是DOI,文献DOI怎么找? 3320576
关于科研通互助平台的介绍 2468623
邀请新用户注册赠送积分活动 2336809