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: $ 2.62万
• 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: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=686747
• 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发现补助金提案侧重于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发展的背景下深入了解复杂的水文地质系统。这些目标是基于三个互补的研究主题：*1。在气候变化的背景下提高我们对低温水文地质系统的认识，特别是关于北方地下水资源的未来潜力，*2。开发新的见解的行为和有机污染物的修复，和 *3。在复杂性和不确定性情况下加强地下水资源保护工作 *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来模拟地下水流动以及物质和热能的传输而联系起来。每个主题都将采用定量方法。将利用在各种实地利用最先进的监测技术获得的高分辨率实地数据，测试新的方法并校准模型。** 首先，气候变化和多年冻土融化对地下水水质和北方气候条件下矿井排水行为的影响将通过开发一个数值模型进行研究，该模型将地下水流和多组分反应性物质传输与寒冷和多年冻土影响环境中的传导和对流热传输相结合。模型应用，包括在Nunavik，QC的一个仪器齐全的集水区，以及记录在案的矿井排水案例，将解决北方环境中开发地下水资源的潜力，并保护这些资源免受污染。第二，将在复杂的水文地质条件下调查对受石油碳氢化合物污染的含水层采取积极的处理系列补救战略的效率。通过模拟多组分反应系统，同时跟踪仪器现场的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，将开发和比较在复杂多孔和裂缝多孔介质中定义供水威尔斯井捕获区的复杂性和不确定性的方法。将测试和比较在有记录的实地确定水井捕获区和保护区的各种复杂程度。将对不确定性进行定量评估，并将提出战略，以便将这种不确定性告知最终用户，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，包括培训高素质人员（2名博士，2名硕士和2名学士学生），并将所获得的知识和开发的工具转移给区域，市政和流域管理层面的利益相关者，最终用户和决策者。