In a recent paper (Alawadhi & Tartakovsky, 2020, https://doi.org/10.1029/2019WR025879), Alawadhi and Tartakovsky proposed an interesting, novel, efficient, and potentially powerful Bayesian‐based approach to cope with the uncertainty in initial flow velocity when using transient waves to detect leaks in pressurized pipes. In this discussion, we illustrate that the uncertainty in initial flow velocity has negligible effect on the accuracy of transient‐based leak detection methods. On the other hand, uncertainties in the wave speed have significant effects on the leak detection accuracy. Unfortunately, it appears that the proposed approach cannot be easily, if at all, extended to deal with uncertainties in wave speed and one may have to resort to classical Bayesian approaches which could be computationally intensive.

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Alawadhi和Tartakovsky对“贝叶斯更新和分布方法：在输电干线泄漏检测中的应用”的评论

在最近的一篇论文中（Alawadhi＆Tartakovsky，2020，https://doi.org/10.1029/2019WR025879），Alawadhi和Tartakovsky提出了一种有趣，新颖，有效且潜在强大的基于贝叶斯方法来应对初始流量的不确定性使用瞬变波检测压力管道泄漏时的最大速度。在此讨论中，我们说明了初始流速的不确定性对基于瞬态的泄漏检测方法的准确性的影响可忽略不计。另一方面，波速的不确定性对检漏精度有重大影响。不幸的是，似乎所提出的方法根本不可能轻易地扩展以应对波速的不确定性，并且可能不得不诉诸于可能需要大量计算的经典贝叶斯方法。