Hydrogeophysical imaging of fluid content variations in the shallow subsurface

浅层地下流体含量变化的水文地球物理成像

• 批准号: 170144-2006
• 负责人: Endres, Anthony
• 金额: $ 1.19万
• 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: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=391942
• 关键词: Hydrogeophysical; imaging; fluid; content; variations

An important parameter in the characterization of the shallow subsurface is the volumetric content of air, water and other pore fluids.  These parameters significantly impact many important hydraulic processes, such as groundwater recharge.  Information about fluid content is essential for the characterization of sites impacted by immiscible contaminants and the evaluation of subsequent remediation processes, as well as assessing the performance of engineered covers for isolating buried waste.  Subsurface water content and its variation, both temporally and spatially, are critical input parameters in the design of precision agricultural techniques.   Geophysical methods provide an efficient and minimally invasive means to obtain information about subsurface fluid content over an extensive spatial area.  Many geophysical techniques respond strongly to fluid content variations.  This research project will improve the extraction of fluid content information from geophysical data, particularly in the presence of hysteretic saturation effects.  This goal will be achieved through an integrated research program.  First, improved relationships between geophysical response and fluid content will be determined.  Subsequently, these relationships will be incorporated into new interpretation models that can be used to infer fluid content from geophysical field data.   The resulting enhancement in subsurface fluid content information will lead to better groundwater resource evaluation and protection, contaminated site characterization, remediation planning and monitoring.  Improved geophysical information will permit less reliance on data obtained from traditional hydrogeological sampling methods, leading to potential cost savings, minimizing subsurface disturbance and decreasing the small sampling volume problems inherent with the traditional methods.

表征浅层地下流体的一个重要参数是空气、水和其他孔隙流体的体积含量。这些参数显著影响许多重要的水力过程，如地下水补给。流体含量的信息对于描述受不相容污染物影响的地点和评估后续修复过程以及评估用于隔离埋藏废物的工程覆盖物的性能至关重要。地下水分含量及其在时间和空间上的变化是精密农业技术设计中的关键输入参数。地球物理方法提供了一种有效和微创的手段来获取广泛空间区域内地下流体含量的信息。许多地球物理技术对流体含量的变化反应强烈。该研究项目将改进从地球物理数据中提取流体含量信息的方法，特别是在存在滞后饱和效应的情况下。这一目标将通过一个综合研究计划来实现。首先，将确定地球物理响应和流体含量之间的改善关系。然后，这些关系将被纳入新的解释模型中，这些模型可用于从地球物理野外数据中推断流体含量。随之而来的地下流体含量信息的增强将导致更好的地下水资源评估和保护、污染场地描述、补救规划和监测。改进的地球物理信息将允许减少对从传统水文地质采样方法获得的数据的依赖，从而潜在地节省成本，最大限度地减少地下干扰，并减少传统方法固有的小采样量问题。