Data Integration to Significantly Improve Hydraulic Tomography and Groundwater Modelling in Complex Geologic Media

数据集成可显着改善复杂地质介质中的水力层析成像和地下水建模

• 批准号: RGPIN-2017-03859
• 负责人: Illman, Walter
• 金额: $ 1.97万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 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=710194
• 关键词: Data; Integration; Significantly; Improve; Hydraulic

Groundwater models have become indispensable in water supply assessment and contaminant transport studies. The availability of various models, their improved capabilities, and ever-increasing computational resources have advanced models closer to reality. They are becoming increasingly relied upon to make important decisions that have business, policy and societal consequences. One key ingredient to building more reliable models is employing more accurate flow parameters such as hydraulic conductivity (K) and specific storage (Ss). However, the subsurface is heterogeneous at multiple scales and this significantly complicates the characterization of K and Ss in unconsolidated and fractured rock formations. Hydraulic tomography (HT) which relies on the inverse modeling of multiple pumping tests, has emerged as a new method to image the subsurface heterogeneity of K and Ss. While HT has been shown to be a robust method for imaging subsurface heterogeneity, there is a critical need to examine whether: 1) other site data such as geological, geophysical, temperature and chemical data can augment pumping test data and improve HT results; 2) HT can effectively map heterogeneities in fractured rock terrains where a large contrast in hydraulic properties between fractures and rock matrix exists; and 3) HT that utilizes river flood pulses as perturbations in groundwater levels can be used to characterize parameters that govern surface-water/groundwater exchange at the basin scale. Through this research program, we will first examine the effectiveness of integrating other site data with pumping test data on HT results at a well-characterized field site on the University of Waterloo campus. Next, we will also examine whether HT can be improved through data integration at a well-established fractured rock site in Japan where our research group has access to different, yet complementary data. Finally, a computational study will be conducted to investigate the utility of river flood pulses as signals detected in monitoring wells to map the heterogeneity in hydraulic parameters that control surface-water/groundwater exchange. Collectively, our research program will help determine whether HT can significantly improve subsurface characterization efforts relevant at the resolution and scale necessary for various industries (water, remediation, energy, waste disposal, and mining). The proposed research focuses on conducting complementary computational and field investigations that should significantly advance our capabilities to map subsurface heterogeneity in both porous and fractured geologic media. Because subsurface heterogeneities will be mapped more accurately through HT, development of such capabilities will also allow us to significantly improve the accuracy of groundwater models used to make important business, policy, and societal decisions.

地下水模型已成为供水评估和污染物运移研究中不可或缺的一部分。各种模型的可获得性、其改进的能力以及不断增加的计算资源使模型更接近现实。他们正变得越来越依赖于做出具有商业、政策和社会后果的重要决策。建立更可靠的模型的一个关键因素是采用更准确的流动参数，如水力传导度(K)和比容(SS)。然而，地下在多个尺度上是非均质的，这使得松散和裂隙岩层中K和SS的特征变得非常复杂。 水压层析成像(HT)是一种利用多次抽水试验的反模拟来成像K、SS地下非均质性的新方法。虽然HT已被证明是一种可靠的地下非均质性成像方法，但迫切需要检查：1)其他现场数据，如地质、地球物理、温度和化学数据，是否可以增加抽水试验数据并改善HT结果；2)HT可以有效地绘制裂隙岩石地形中的非均质性地图，那里的裂隙和岩石基质之间存在很大的水力特性对比；以及3)利用河流洪水脉冲作为地下水位扰动的HT可以用来表征在盆地尺度上控制地表水/地下水交换的参数。 通过这项研究计划，我们将首先检查滑铁卢大学校园内一个具有良好特征的现场现场，将其他现场数据与抽水测试数据结合在一起的有效性。接下来，我们还将研究是否可以通过在日本一个久负盛名的裂隙岩石遗址进行数据整合来改善HT，我们的研究小组可以在那里获得不同的、但互补的数据。最后，将进行一项计算研究，以调查河流洪水脉冲作为监测井中检测到的信号的用途，以绘制控制地表水/地下水交换的水力参数的非均质性。 总而言之，我们的研究计划将有助于确定高温技术是否能够显著改善与各种行业(水、修复、能源、废物处理和采矿)所需的分辨率和规模相关的地下表征工作。拟议的研究重点是进行互补性的计算和现场调查，这将大大提高我们绘制多孔和裂隙地质介质中地下非均质性的能力。由于地下水非均质性将通过HT得到更准确的映射，因此这种能力的开发还将使我们能够显著提高用于做出重要商业、政策和社会决策的地下水模型的准确性。