Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
基本信息
- 批准号:RGPIN-2018-04329
- 负责人:
- 金额:$ 1.89万
- 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:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The long-term objective of this research is to develop a novel set of tools and approaches for modelling turbulent mixing in natural waters, such as lakes, estuaries and oceans, in which the density of water typically increases with depth (i.e. the fluid is stably stratified). Understanding stratified turbulent mixing is crucial for a range of problems, from modelling the ecological health of the Great Lakes to predicting oceanic heat uptake in a changing climate.******Current methods to predict mixing rely heavily on empirical relations, and a major shortcoming of these relations is that they are largely ‘unaware' of the processes that are responsible for mixing, thus introducing great uncertainties in the predictions. My research will address this issue by adopting a process-based approach, where the critical links between the overall mixing properties of the physical systems and the underlying flow processes will be established. These generic flow processes can manifest themselves in environmental flows as distinct structures known as coherent structures (CSs), the latter serving as the key to understanding the mixing properties of natural flow processes. Through this research, CSs that are relevant to mixing heat, salt and pollutant in lakes and oceans will be identified and examined. The understandings of these CSs will then be utilized to develop processed-based models for mixing.******The research will be driven by large-scale numerical simulations of stratified turbulent flows, combined with state-of-the-art mathematical tools for analyzing simulation data and developing new models. The program can be divided into three aims: A. Perform simulations in two flow configurations, i.e. stratified momentum wake and stratified shear box; B. Extract coherent structures (CSs) from the numerical database of stratified turbulence obtained in aim A, using two novel mathematical tools, i.e. dynamic mode decomposition and flow recurrence analysis; and C. Diagnose the mixing properties of the CSs identified and synthesize these properties into predictive mixing models appropriate for natural flow systems.******This program will (i) develop a new generation of quantitative tools to infer turbulent mixing rates for numerical modellers and field scientists, (ii) generate an unprecedented stratified turbulence dataset for fluid dynamicists, and (iii) discover a new ‘zoo' of coherent structures for mathematicians and theorists. An improved understanding of the mixing and transport of heat, dissolved oxygen and nutrients etc. in natural waters will facilitate robust decision making by the public and private entities with regard to Canada's vital resources such as freshwater and fisheries. The proposed program will train 3 undergraduate, 2 MSc and 2 PhD students, who will develop expertise in environmental modelling and acquire highly transferable skills, e.g. high-performance computing and data analytics.
这项研究的长期目标是开发一套新的工具和方法来模拟自然水域中的湍流混合,如湖泊、河口和海洋,在这些水域中,水的密度通常随着深度增加(即流体稳定分层)。理解分层湍流混合对于一系列问题至关重要,从模拟五大湖的生态健康到预测气候变化中的海洋热吸收。目前预测混合的方法严重依赖经验关系,而这些关系的一个主要缺点是它们在很大程度上没有意识到导致混合的过程,因此在预测中引入了很大的不确定性。我的研究将通过采用基于过程的方法来解决这个问题,其中将建立物理系统的总体混合属性和基础流动过程之间的关键联系。这些一般的流动过程可以在环境流动中表现为不同的结构,称为相干结构(CS),后者是理解自然流动过程混合特性的关键。通过这项研究,将识别和检验与湖泊和海洋中的热、盐和污染物混合有关的CS。然后将利用对这些CS的理解来开发基于过程的混合模型。*这项研究将由分层湍流的大规模数值模拟推动,并结合用于分析模拟数据和开发新模型的最先进的数学工具。该程序可分为三个目标:A.在分层动量尾迹和分层剪切盒两种流动形态下进行模拟:B.利用动力模分解和流动递推分析两种新的数学工具,从Aim A获得的层状湍流数值数据库中提取相干结构(CS);和C.诊断已识别的CS的混合特性,并将这些特性合成为适用于自然流动系统的预测混合模型。*该程序将(I)开发新一代定量工具来为数值模型师和现场科学家推断湍流混合率,(Ii)为流体动力学家生成前所未有的分层湍流数据集,以及(Iii)为数学家和理论家发现一个新的相干结构的“动物园”。增进对自然水域中热量、溶解氧和营养物质等的混合和输送的了解,将有助于公共和私人实体就加拿大的重要资源,如淡水和渔业,作出强有力的决策。拟议的计划将培训3名本科生、2名硕士和2名博士生,他们将发展环境建模方面的专业知识,并获得高度可移植的技能,例如高性能计算和数据分析。
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 }}
Zhou, Qi其他文献
Evaluation of Trace Elements Levels and Construction of Auxiliary Prediction Model in Patients with Diabetes Ketoacidosis in Type 1 Diabetes.
- DOI:
10.2147/dmso.s425156 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Chai, Jiatong;Sun, Zeyu;Zhou, Qi;Xu, Jiancheng - 通讯作者:
Xu, Jiancheng
tRF-Gln-CTG-026 ameliorates liver injury by alleviating global protein synthesis.
- DOI:
10.1038/s41392-023-01351-5 - 发表时间:
2023-04-03 - 期刊:
- 影响因子:39.3
- 作者:
Ying, Sunyang;Li, Pengcheng;Wang, Jiaqiang;Chen, Kaiqiong;Zou, Yu;Dai, Moyu;Xu, Kai;Feng, Guihai;Zhang, Changjian;Jiang, Haiping;Li, Wei;Zhang, Ying;Zhou, Qi - 通讯作者:
Zhou, Qi
Carrier Transport Mechanisms Underlying the Bidirectional VTH Shift in p-GaN Gate HEMTs Under Forward Gate Stress
p-GaN 栅极 HEMT 在正向栅极应力下双向 V-TH 偏移的载流子传输机制
- DOI:
10.1109/ted.2018.2883573 - 发表时间:
2019-02-01 - 期刊:
- 影响因子:3.1
- 作者:
Shi, Yuanyuan;Zhou, Qi;Zhang, Bo - 通讯作者:
Zhang, Bo
Distributed Reinforcement Learning Containment Control for Multiple Nonholonomic Mobile Robots
- DOI:
10.1109/tcsi.2021.3121809 - 发表时间:
2021-10-28 - 期刊:
- 影响因子:5.1
- 作者:
Xiao, Wenbin;Zhou, Qi;Lu, Renquan - 通讯作者:
Lu, Renquan
A Novel Trench-Gated Vertical GaN Transistor With Dual-Current-Aperture by Electric-field Engineering for High Breakdown Voltage
- DOI:
10.1109/ted.2022.3146110 - 发表时间:
2022-02-08 - 期刊:
- 影响因子:3.1
- 作者:
Bai, Pengxiang;Zhou, Qi;Zhang, Bo - 通讯作者:
Zhang, Bo
Zhou, Qi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('Zhou, Qi', 18)}}的其他基金
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
RGPIN-2018-04329 - 财政年份:2022
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Grants Program - Individual
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
RGPIN-2018-04329 - 财政年份:2021
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Grants Program - Individual
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
RGPIN-2018-04329 - 财政年份:2020
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Grants Program - Individual
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
RGPIN-2018-04329 - 财政年份:2019
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Grants Program - Individual
Efficient variance reduction methods for option pricing
期权定价的有效方差减少方法
- 批准号:
527348-2018 - 财政年份:2018
- 资助金额:
$ 1.89万 - 项目类别:
University Undergraduate Student Research Awards
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
DGECR-2018-00360 - 财政年份:2018
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Launch Supplement
相似国自然基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国青年学者研究基金项目
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
- 批准号:W2433169
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国学者研究基金项目
Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国学者研究基金项目
含Re、Ru先进镍基单晶高温合金中TCP相成核—生长机理的原位动态研究
- 批准号:52301178
- 批准年份:2023
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
NbZrTi基多主元合金中化学不均匀性对辐照行为的影响研究
- 批准号:12305290
- 批准年份:2023
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
眼表菌群影响糖尿病患者干眼发生的人群流行病学研究
- 批准号:82371110
- 批准年份:2023
- 资助金额:49.00 万元
- 项目类别:面上项目
镍基UNS N10003合金辐照位错环演化机制及其对力学性能的影响研究
- 批准号:12375280
- 批准年份:2023
- 资助金额:53.00 万元
- 项目类别:面上项目
CuAgSe基热电材料的结构特性与构效关系研究
- 批准号:22375214
- 批准年份:2023
- 资助金额:50.00 万元
- 项目类别:面上项目
A study on prototype flexible multifunctional graphene foam-based sensing grid (柔性多功能石墨烯泡沫传感网格原型研究)
- 批准号:
- 批准年份:2020
- 资助金额:20 万元
- 项目类别:
基于大数据定量研究城市化对中国季节性流感传播的影响及其机理
- 批准号:82003509
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
RGPIN-2018-04329 - 财政年份:2022
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Grants Program - Individual
Hybrid modelling based digital technology for process flow diagram development
基于混合建模的流程图开发数字技术
- 批准号:
2853083 - 财政年份:2022
- 资助金额:
$ 1.89万 - 项目类别:
Studentship
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
RGPIN-2018-04329 - 财政年份:2021
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Grants Program - Individual
Process-based soil behaviour modelling for subsea structure foundations in carbonate sand environment
碳酸盐砂环境中海底结构基础基于过程的土壤行为建模
- 批准号:
EP/V012169/1 - 财政年份:2021
- 资助金额:
$ 1.89万 - 项目类别:
Research Grant
Modelling the Erosion in the Scottish Coasts using the Process-Based Approach: Historic Validation and Projection of the Climate Change Scenarios
使用基于过程的方法对苏格兰海岸的侵蚀进行建模:气候变化情景的历史验证和预测
- 批准号:
2910485 - 财政年份:2021
- 资助金额:
$ 1.89万 - 项目类别:
Studentship
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
RGPIN-2018-04329 - 财政年份:2020
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Grants Program - Individual
AFM-based nano-machining: developing and validating a novel modelling approach for effective process implementation in nanotechnology applications
基于 AFM 的纳米加工:开发和验证一种新颖的建模方法,以在纳米技术应用中有效实施工艺
- 批准号:
EP/T01489X/1 - 财政年份:2020
- 资助金额:
$ 1.89万 - 项目类别:
Research Grant
Process-based modelling of turbulent mixing in stratified natural waters
分层天然水中湍流混合的基于过程的建模
- 批准号:
RGPIN-2018-04329 - 财政年份:2019
- 资助金额:
$ 1.89万 - 项目类别:
Discovery Grants Program - Individual
Collaborative Research: Combining complex systems tools, process-based modelling and experiments to bridge scales in low temperature geochemistry
协作研究:结合复杂系统工具、基于过程的建模和实验来弥补低温地球化学的规模
- 批准号:
1724171 - 财政年份:2018
- 资助金额:
$ 1.89万 - 项目类别:
Standard Grant
Collaborative Research: Combining complex systems tools, process-based modelling and experiments to bridge scales in low temperature geochemistry
协作研究:结合复杂系统工具、基于过程的建模和实验来弥补低温地球化学的规模
- 批准号:
1723990 - 财政年份:2018
- 资助金额:
$ 1.89万 - 项目类别:
Standard Grant