Aquifer Characterization and Uncertainty in Multi-Frequency Oscillatory Flow Tests: Approach and Insights.
Aquifer Characterization and Uncertainty in Multi-Frequency Oscillatory Flow Tests: Approach and Insights.
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确定含水层特性及其相关的不确定性仍然是水文地质学的一项根本挑战。最近的研究表明，使用振荡流干扰测试来表征有效的含水层流动特性。这些表征工作涉及相对振幅和相位的观测信号与一个单一的频率分量含水层扩散率和transmittance。在这里，我们提出了一个广义的工作流程，涉及提取的傅立叶系数的观测信号与单频和多频分量含水层流量特性及其相关的不确定性。通过合成分析建模，我们表明，多频振荡流干扰测试增加了提高反演性能和降低参数不确定性的信息。我们发现，增加观测信号的长度，采样频率，和压力传感器的精度都产生降低参数的不确定性。这项工作代表了我们所知道的第一次尝试使用多频振荡流干扰测试来量化有效含水层参数及其相关的不确定性。 文章影响声明：振荡流条件下的多频分析提高了有效的参数估计并降低了参数的不确定性。
Characterizing aquifer properties and their associated uncertainty remains a fundamental challenge in hydrogeology. Recent studies demonstrate the use of oscillatory flow interference testing to characterize effective aquifer flow properties. These characterization efforts relate the relative amplitude and phase of an observation signal with a single frequency component to aquifer diffusivity and transmissivity. Here, we present a generalized workflow that relates extracted Fourier coefficients for observation signals with single and multiple frequency components to aquifer flow properties and their associated uncertainty. Through synthetic analytical modeling we show that multi‐frequency oscillatory flow interference testing adds information that improves inversion performance and decreases parameter uncertainty. We show increased observation signal length, sampling frequency, and pressure sensor accuracy all produce decreased parameter uncertainty. This work represents the first attempt we are aware of to quantify effective aquifer parameters and their associated uncertainty using multi‐frequency oscillatory flow interference testing. Article Impact Statement: Multi‐frequency analysis under oscillatory flow conditions improves effective parameter estimates and reduces parameter uncertainty.
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