Numerical modelling of complex hydrogeosystems

复杂水文地质系统的数值模拟

• 批准号: RGPIN-2019-05188
• 负责人: Molson, John
• 金额: $ 5.9万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=755013
• 关键词: Numerical; modelling; complex; hydrogeosystems

My 2018 NSERC Discovery Grant proposal focuses on development and application of numerical simulation models to gain insight into complex hydrogeosystems, within the context of protection and sustainable development of groundwater resources. The objectives are based on three complimentary research themes: 1. Advancing our understanding of cryo-hydrogeological systems in the context of climate change, specifically regarding the future potential of groundwater resources in the north, 2. Developing new insights into the behavior and remediation of organic contaminants, and 3. Improving the protection of groundwater resources under complexity and uncertainty. These themes are linked through development, testing and application of advanced physically-based coupled-process numerical models for simulating groundwater flow and transport of mass and thermal energy. A quantitative approach will be adopted for each theme. New methodologies will be tested and models calibrated using high-resolution field data obtained using state-of-the-art monitoring techniques at a variety of field sites. First, impacts of climate change and permafrost thaw on groundwater quality and on behavior of mine drainage in northern climates will be investigated by developing a numerical model which integrates groundwater flow and multi-component reactive mass transport with conductive and convective heat transport in cold- and permafrost-impacted environments. Model applications, including at a well-instrumented catchment in Nunavik, QC, and to documented cases of mine drainage, will address the potential for developing groundwater resources in northern environments, and for protecting these resources from contamination. Second, the efficiency of aggressive treatment-train remediation strategies for aquifers contaminated by petroleum hydrocarbons will be investigated under complex hydrogeological conditions. By simulating multi-component reactive systems while tracking the signatures of the stable isotopes of C, H, O and S at instrumented field sites, new insights for optimizing remediation schemes will be obtained. Finally, methodologies for accounting for complexity and uncertainty in defining capture zones for water supply wells in complex porous and fractured porous media will be developed and compared. Various degrees of complexity for defining water well capture zones and protection areas at documented field sites will be tested and compared. Uncertainty will be quantitatively evaluated and strategies will be proposed for communicating this uncertainty to end-users and for incorporating uncertainty in the decision-making process. The research plan is targeted to respond to the needs of society including training of highly qualified personnel (2 PhD, 2 MSc and 2 BSc students), and transferring the knowledge gained and tools developed, to stakeholders, end-users and decision-makers at the regional, municipal and watershed management levels.

我的 2018 年 NSERC 发现资助提案重点关注数值模拟模型的开发和应用，以在地下水资源保护和可持续开发的背景下深入了解复杂的水文地质系统。这些目标基于三个互补的研究主题：1. 增进我们对气候变化背景下的低温水文地质系统的理解，特别是关于北方地下水资源的未来潜力，2. 对地下水的行为和修复提出新的见解。有机污染物；3.在复杂性和不确定性的情况下加强地下水资源的保护。这些主题通过开发、测试和应用先进的基于物理的耦合过程数值模型联系在一起，用于模拟地下水流以及质量和热能的传输。每个主题都将采用定量方法。将使用在各个现场站点使用最先进的监测技术获得的高分辨率现场数据来测试新方法并校准模型。 首先，将通过开发一个数值模型来研究气候变化和永久冻土融化对地下水质量和北方气候下矿井排水行为的影响，该模型将地下水流和多组分反应性质量传递与冷和热环境中的传导和对流热传递相结合。受永久冻土影响的环境。模型应用，包括在魁北克省努纳维克一个设备齐全的集水区的应用，以及记录在案的矿井排水案例，将解决在北部环境中开发地下水资源并保护这些资源免受污染的潜力。其次，将在复杂的水文地质条件下研究针对石油碳氢化合物污染的含水层的积极处理系列修复策略的效率。通过模拟多组分反应系统，同时跟踪仪表现场现场 C、H、O 和 S 稳定同位素的特征，将获得优化修复方案的新见解。最后，将开发和比较在定义复杂多孔和裂隙多孔介质中供水井捕获区时考虑复杂性和不确定性的方法。将测试和比较在记录的现场地点确定水井捕获区和保护区的不同复杂程度。将定量评估不确定性，并提出策略，将这种不确定性传达给最终用户，并将不确定性纳入决策过程。该研究计划旨在满足社会需求，包括培训高素质人才（2名博士生、2名硕士生和2名理学士生），并将所获得的知识和开发的工具传递给利益相关者、最终用户和决策者。区域、市和流域管理级别。