Modelling Complex Hydro-environmental Systems

复杂水文环境系统建模

• 批准号: 1000232059-2017
• 负责人: Shakibaeinia, Ahmad
• 金额: $ 8.74万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 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=695607
• 关键词: Modelling; Complex; Hydro; environmental; Systems

Hydro-environmental systems, such as rivers, estuaries, lakes, and coasts, play a central role in the economy, and environment of Canada and are the source of most devastating natural and man-made hazards. Predicting the behavior and underlying physics of these systems is crucial for improving the design of water infrastructure (e.g. dams), protection of the aquatic environments, and prediction/mitigation of water hazards. However due to their complexities, they often suffer from lack of accurate and efficient predictive tools. Prof. Shakibaeinias research program aims to develop state-of-art accurate and efficient computational tools to bring a new understanding to these systems.

水文环境系统，如河流，河口，湖泊和海岸，在加拿大的经济和环境中发挥着核心作用，是最具破坏性的自然和人为灾害的来源。 预测这些系统的行为和基本物理特性对于改善水基础设施（例如水坝）的设计、保护水生环境以及预测/减轻水灾害至关重要。然而，由于其复杂性，他们往往缺乏准确和有效的预测工具。Shakibaeinias教授的研究计划旨在开发最先进的准确且高效的计算工具，为这些系统带来新的理解。