Advances in Computational Models for Simulation of Sediment Dynamics in Alluvial Rivers
冲积河泥沙动力学模拟计算模型研究进展
基本信息
- 批准号:RGPIN-2015-05691
- 负责人:
- 金额:$ 1.46万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The applicant proposes to conduct research on the transport, erosion, and deposition of bed sediments in alluvial river channels under both open-water and ice-covered conditions. This proposed research has a large number of direct applications. Examples of such applications include the control of river floods, safe design and operation of river hydraulic structures, water resources planning and management, and fish habitat restoration and protection. These are important issues facing the Canadian population, engineers and policy-makers across this country. The proposed research program demonstrates its relevance in the pursuit of addressing these issues in a scientifically sound manner.
The problem of riverbed sediment dynamics is poorly understood, due to the complex interaction between the flowing water and the underlying mobile riverbed. Winter ice grips virtually all the Canadian rivers. However, the current knowledge concerning ice-effects on sediment dynamics is very incomplete. In this proposal, the applicant intends to develop efficient and cost-effective computer models for generating predictions of sediment transport, erosion and deposition in turbulent river flows. These models will be verified by comparing model predictions with measurements from field programs and laboratory experiments.
The long-term goal of the proposed research program is to: 1) develop modelling and analysing strategies and apply them to solving practical problems related to water resources planning and management; and 2) develop reliable and cost-effective prediction tools for use with field and laboratory data. The short-term objectives are to: 1) improve existing predictive methods; 2) develop and verify new methods needed for the prediction of sediment dynamics in open-water and ice-covered river flows; and 3) advance three-dimensional modelling capacities and contribute to improved knowledge of complex mobile-bed river flow.
The originality and innovative aspect of the proposed research lies in distinguishing the boundary-layer flow immediately above a mobile riverbed from free-stream flow further above and in introducing computationally efficient hybrid techniques within a computer model of sediment dynamics. The applicant will explore hybrid techniques that couple analytical/semi-analytical functions with numerical solutions to the conservation equations, in order to enhance the description of near-boundary flow.
This proposed research program will potentially make broader contributions to improving interdisciplinary hydraulic and hydrological modelling, to facilitating system predictions for the riverine and adjacent environments, and to understanding the impact of anthropogenic activities and changing natural conditions on the environments. This program will create opportunities for training graduate students at both the doctoral and Master’s levels.
申请建议在开放水和冰覆盖的条件下对冲积河通道中床沉积物的运输,侵蚀和沉积进行研究。这项拟议的研究有大量的直接应用。此类应用的示例包括控制河地板,河水水解结构的安全设计和操作,水资源规划和管理以及鱼类栖息地恢复和保护。这些是该国加拿大人口,工程师和政策制定者面临的重要问题。拟议的研究计划展示了它在追求以科学良好方式解决这些问题的相关性。
由于流动的水与基础移动河床之间的复杂相互作用,河床沉积物动力学的问题知之甚少。冬季冰几乎磨碎了加拿大河流。但是,关于沉积物动力学上冰效应的当前知识非常不完整。在此提案中,适用的意图是开发有效且具有成本效益的计算机模型,以产生湍流河流中沉积物传输,侵蚀和沉积的预测。这些模型将通过将模型预测与现场程序和实验室实验的测量进行比较来验证。
拟议的研究计划的长期目标是:1)制定建模和分析策略,并将其应用于解决与水资源计划和管理有关的实际问题; 2)开发用于现场和实验室数据的可靠且具有成本效益的预测工具。短期目标是:1)改善现有的预测方法; 2)开发和验证预测开放水和冰覆盖的河流中沉积物动态所需的新方法; 3)提高三维建模能力,并有助于改善复杂移动河流流量的知识。
拟议研究的独创性和创新方面在于区分移动河床上方的边界层流与自由流动的上方和自由流动流,并在沉积物动力学计算机模型中引入计算高效的混合技术。该应用程序将探索将分析/半分析函数与保护方程式的数值解决方案相对的混合技术,以增强对近似流量的描述。
该提出的研究计划将有可能为改善跨学科水解和水文建模,为河流和邻近环境的系统预测做出贡献,并了解人为活动和自然条件对环境的影响。该计划将为培训博士和硕士学位的研究生创造机会。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Li, SSamuel其他文献
Li, SSamuel的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Li, SSamuel', 18)}}的其他基金
Exploring turbulence-sediment dynamics for river erosion control
探索河流侵蚀控制的湍流-泥沙动力学
- 批准号:
RGPIN-2020-06796 - 财政年份:2022
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Exploring turbulence-sediment dynamics for river erosion control
探索河流侵蚀控制的湍流-泥沙动力学
- 批准号:
RGPIN-2020-06796 - 财政年份:2021
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Exploring turbulence-sediment dynamics for river erosion control
探索河流侵蚀控制的湍流-泥沙动力学
- 批准号:
RGPIN-2020-06796 - 财政年份:2020
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Advances in Computational Models for Simulation of Sediment Dynamics in Alluvial Rivers
冲积河泥沙动力学模拟计算模型研究进展
- 批准号:
RGPIN-2015-05691 - 财政年份:2019
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Advances in Computational Models for Simulation of Sediment Dynamics in Alluvial Rivers
冲积河泥沙动力学模拟计算模型研究进展
- 批准号:
RGPIN-2015-05691 - 财政年份:2018
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Advances in Computational Models for Simulation of Sediment Dynamics in Alluvial Rivers
冲积河泥沙动力学模拟计算模型研究进展
- 批准号:
RGPIN-2015-05691 - 财政年份:2017
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Advances in Computational Models for Simulation of Sediment Dynamics in Alluvial Rivers
冲积河泥沙动力学模拟计算模型研究进展
- 批准号:
RGPIN-2015-05691 - 财政年份:2015
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
相似国自然基金
面向高性能计算的指令级自适应睿频加速芯片关键技术研究
- 批准号:62374100
- 批准年份:2023
- 资助金额:48 万元
- 项目类别:面上项目
基于天然序列库的天冬酰胺多肽连接酶计算进化及机理研究
- 批准号:32371324
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
超高性能混凝土(UHPC)加固损伤RC拱的协同承载机理与计算理论研究
- 批准号:52378154
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
社交媒体依赖行为习得与干预的认知神经计算机制研究
- 批准号:32300905
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于网络化计算的自组织组网方法研究
- 批准号:62371368
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
相似海外基金
The Roadmap from Preclinical Models to Interventional Trials for PTE
PTE 从临床前模型到介入试验的路线图
- 批准号:
10754155 - 财政年份:2023
- 资助金额:
$ 1.46万 - 项目类别:
SCH: Using Data-Driven Computational Biomechanics to Disentangle Brain Structural Commonality, Variability, and Abnormality in ASD
SCH:利用数据驱动的计算生物力学来解开 ASD 中脑结构的共性、变异性和异常性
- 批准号:
10814620 - 财政年份:2023
- 资助金额:
$ 1.46万 - 项目类别:
The Center for Tumor-Immune Systems Biology at MSKCC
MSKCC 肿瘤免疫系统生物学中心
- 批准号:
10525190 - 财政年份:2022
- 资助金额:
$ 1.46万 - 项目类别:
The Center for Tumor-Immune Systems Biology at MSKCC
MSKCC 肿瘤免疫系统生物学中心
- 批准号:
10705726 - 财政年份:2022
- 资助金额:
$ 1.46万 - 项目类别: