Hydraulic Tomography (HT) is a high-resolution method for identifying aquifer hydraulic property heterogeneity. Despite decades of development leading to a relative maturation of HT, the influence of prior boundary information on HT estimations warrants further investigation. In this study, HT methods were applied to a synthetic heterogeneous aquifer to examine the impact of prior boundary types, sizes, and head values on parameter estimations. Results indicate that while boundary size has limited impact on HT outcomes regardless of data adequacy, the boundary condition type is a significant factor in HT inversion. Increasing boundary size can mitigate errors from incorrect boundary type assumptions. The SimSLE-HCA iterative algorithm effectively estimates optimal boundary head values given sufficient HT survey data. For practical application, in cases where the boundary size is unknown, a moderate expansion of the simulation area is recommended. In situations where the boundary type is uncertain, designating it as a constant head boundary proves practical.

中文翻译：

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在液压层析成像分析中分配先前边界设置的最佳策略

水力层析成像（HT）是一种识别含水层水力性质非均质性的高分辨率方法。尽管数十年的发展导致 HT 相对成熟，但先验边界信息对 HT 估计的影响值得进一步研究。在本研究中，HT 方法应用于合成非均质含水层，以检查先前边界类型、大小和水头值对参数估计的影响。结果表明，尽管无论数据是否充分，边界大小对 HT 结果的影响有限，但边界条件类型是 HT 反演的重要因素。增加边界大小可以减少由于不正确的边界类型假设而产生的错误。在给定足够的 HT 测量数据的情况下，SimSLE-HCA 迭代算法可有效估计最佳边界水头值。对于实际应用，在边界尺寸未知的情况下，建议适度扩大模拟区域。在边界类型不确定的情况下，将其指定为恒定水头边界是可行的。