Measuring and modelling hydrological parameter fields: strategies for sampling and integrating fine-scale surface and subsurface data in a spatial simulation framework

水文参数场的测量和建模：在空间模拟框架中采样和集成精细尺度地表和地下数据的策略

• 批准号: 238431-2006
• 负责人: Graniero, Phillip
• 金额: $ 0.91万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2006
• 资助国家: 加拿大
• 起止时间: 2006-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=332916
• 关键词: Measuring; modelling; hydrological; parameter; fields

The importance and the difficulty of measuring fine-scale spatial heterogeneity or 'patchiness' in hydrological systems is well recognized, especially for complex systems like wetlands. The goal of my research program is to a) uncover the relationship between field sampling strategies and their effectiveness for describing spatially complex hydrological systems, by example of b) developing and methods to determine subsurface hydraulic conductivity fields in wetlands. The proposed study will use a 'mixed-mode' approach, tightly integrating theoretical simulation experiments with lab and field investigations to drive parameter discovery models. The work will use a mixture of field data acquisition systems, geospatial and geophysical integration tools, and modelling frameworks developed by my research group over the past three years. I will develop methods to estimate electrical and hydraulic conductivity fields from GPR signals, validated in a 'sandbox' lab environment and in Fletcher Fen and Point Pelee Marsh. Parallel to the field-oriented aspects of the program, I will use simulation experiments to evaluate the effects that sampling strategies and varied measurement methods have on our ability to characterize wetland systems. These investigations use estimates of spatial, temporal, and measurement error distributions drawn from our field data to derive datasets with varying degrees of measurement uncertainty from representative hydrologic models implemented in our ECO-COSM simulation framework. The research is expected to reveal important insights into the fundamental spatial and temporal interactions between patterns of data sampling and the processes operative in natural systems. The work will lead to many applied developments including new, non-invasive methods for describing wetlands and sampling design methods that better quantify complex natural systems.

测量水文系统中细尺度空间异质性或“斑块”的重要性和困难性是众所周知的，特别是对于像湿地这样的复杂系统。我的研究计划的目标是a）揭示现场采样策略和它们的有效性之间的关系来描述空间复杂的水文系统，通过B）开发和方法来确定湿地地下水力传导率场的例子。拟议的研究将使用“混合模式”的方法，将理论模拟实验与实验室和现场调查紧密结合，以驱动参数发现模型。这项工作将使用我的研究小组在过去三年中开发的现场数据采集系统、地理空间和地球物理集成工具以及建模框架。我将开发的方法来估计电和水力传导性领域的GPR信号，在一个“沙箱”实验室环境和弗莱彻芬和点Pelee沼泽验证。平行于该计划的面向领域的方面，我将使用模拟实验来评估采样策略和不同的测量方法对我们表征湿地系统的能力的影响。这些调查使用的空间，时间和测量误差分布的估计，从我们的现场数据中获得不同程度的测量不确定性的数据集，从我们的生态COSM模拟框架中实施的代表性水文模型。该研究有望揭示数据采样模式与自然系统中操作过程之间的基本空间和时间相互作用的重要见解。这项工作将导致许多应用的发展，包括新的，非侵入性的方法来描述湿地和采样设计方法，更好地量化复杂的自然系统。