Abstract Delineating the hyporheic zone, where groundwater and surface water mix, is of great importance for managing groundwater contamination introduced through surface water. A prior study proposed a method for estimating the hyporheic zone’s depth using heat transfer analysis; this approach’s high sensitivity compared with conventional tracer tests made it more appropriate for delineate the hyporheic zone depth. However, that method treated all related parameters as deterministic values, while real-world parameters are not fixed but vary widely around their means. In this study, we improved on this approach by converting it into a probabilistic method, in which the principal parameters in the governing equation were considered random values and were sampled using Monte-Carlo simulation. We conducted repeated heat transfer analyses for each case and collected the resulting hyporheic zone depths as probabilistic distributions. This allowed us to calculate the distribution of the hyporheic zone and its mean value more accurately and time-efficiently.

中文翻译：

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使用传热分析对潜流带深度进行概率描绘

摘要 划定地下水和地表水混合的潜流带对于管理通过地表水引入的地下水污染非常重要。先前的一项研究提出了一种使用传热分析估算潜流带深度的方法；与传统示踪剂测试相比，这种方法的高灵敏度使其更适合描绘潜流带深度。然而，该方法将所有相关参数视为确定性值，而现实世界的参数不是固定的，而是围绕其均值变化很大。在这项研究中，我们通过将其转换为概率方法来改进这种方法，其中控制方程中的主要参数被视为随机值并使用蒙特卡罗模拟进行采样。我们对每种情况进行了重复的传热分析，并收集了由此产生的下流带深度作为概率分布。这使我们能够更准确、更省时地计算潜流区的分布及其平均值。