Optimization of the Two-Dimensional Hydrodynamic Model for the Ottawa River

渥太华河二维水动力模型的优化

• 批准号: 549707-2019
• 负责人: Mohammadian, Abdolmajid
• 金额: $ 2.84万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=701013
• 关键词: Optimization; Two; Dimensional; Hydrodynamic; Model

An accurate and fast estimation of the current flow fields in rivers is crucial for sound planning of flooding prevention, environmental impact assessment, responding to environmental emergencies related to spill of hazardous substances, resource management, and assessment socio-economical impacts of climate change. With the advance in computing techniques, numerical modeling of river hydraulics has become feasible and popular. However, most of the existing models and modelling works that were remained at the academic level and/or were developed to achieve very specific engineering projects, such as the design of hydrotechnical structures and assessment of floodplain. Very limited river modelling projects have been escalated to the operational level in which high-quality current are being predicted continuously integrating the continuous fluctuations in the environmental conditions to respond to operational needs. And when river models are run operationally, there mostly one dimensional and used to assess water level. This research aims primarily to design and optimize a two-dimensional hydrodynamic model for the Ottawa River for operational applications to support emergency response in that water system. Specifically, the first objective of this project is the develop a two-dimensional hydrodynamic model for the Ottawa River from Chat Falls to Carillon to predict horizontal current field with high special resolution to capture complex flow patterns, such as flow recirculation and dispersion. The second objective is to optimize the computational costs without lowering the prediction accuracy, based on a comprehensive analysis of the influence of local mesh resolution on the calculated water level, current velocity, and secondary flows, etc. The developed model will be carefully calibrated and validated against observational data. The computational mesh of the developed model will be highly optimized and this optimization can significantly increase the model efficiency without obviously impacting the model accuracy. This research includes preparing a digital elevation model based on height, Open Street, and navigational maps with the assistance of ArcGIS, determining the computational area, generating various meshes using different setting parameters in BlueKenue, conducting mesh sensitivity analyses and performing simulations using TELEMAC, calibrating the models, and preparing a technical report to describe the study and its findings.

对河流中当前流场的准确估算对于预防洪水的合理规划，环境影响评估，应对与危险物质的溢出，资源管理和评估社会经济对气候变化的溢出有关的响应至关重要。随着计算技术的进步，河液压学的数值建模变得可行和流行。但是，大多数现有的模型和建模作品仍保留在学术水平和/或旨在实现非常具体的工程项目，例如水力技术结构的设计和洪泛区的评估。河流建模项目非常有限，已升级到预测高质量电流的运营水平，将不断整合环境条件下的持续波动以响应运营需求。当河流模型在操作上运行时，主要是一个维度，用于评估水位。这项研究主要旨在设计和优化渥太华河的二维流体动力学模型，以支持该水系统中的应急响应。 具体而言，该项目的第一个目标是从聊天瀑布到卡利隆为渥太华河开发了二维流体动力模型，以预测具有高特殊分辨率的水平电流，以捕获复杂的流动模式，例如流动再循环和分散。第二个目标是根据对本地网格分辨率对计算出的水位，当前速度和次要流的影响的全面分析，在不降低预测准确性的情况下优化计算成本，而不是降低预测准确性。 开发的模型将经过仔细校准并根据观察数据进行验证。 开发模型的计算网格将得到高度优化，并且该优化可以显着提高模型效率，而不会显然影响模型的准确性。这项研究包括在ArcGI的帮助下根据高度，开放街和导航图制备数字高程模型，确定计算区域，使用Bluekenue中的不同设置参数生成各种网格，进行网格敏感性分析并使用Telemac进行网格敏感性分析，并使用Telemac使用Telemac进行模拟，并校准模型，并准备研究和研究研究和研究结果。