Rapid detection and early warning systems demonstrate crucial significance in tsunami risk reduction measures. So far, several tsunami observation networks have been deployed in tsunamigenic regions to issue effective local response. However, guidance on where to station these sensors are limited. In this article, we address the problem of determining the placement of tsunami sensors with the least possible tsunami detection time. We use the solutions of the 2D nonlinear shallow water equations to compute the wave travel time. The optimization problem is solved by implementing the particle swarm optimization algorithm. We apply our model to a simple test problem with varying depths. We also use our proposed method to determine the placement of sensors for early tsunami detection in Cotabato Trench, Philippines.

中文翻译：

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粒子群算法在海啸传感器优化布置中的应用

快速检测和预警系统在减少海啸风险的措施中显示出至关重要的意义。迄今为止，已在海啸发生地区部署了多个海啸观测网络，以发布有效的当地应对措施。但是，有关将这些传感器放置在何处的指导受到限制。在本文中，我们解决了用最小的海啸检测时间来确定海啸传感器位置的问题。我们使用二维非线性浅水方程的解来计算波传播时间。通过实现粒子群优化算法解决了优化问题。我们将模型应用于具有不同深度的简单测试问题。我们还使用我们提出的方法来确定用于在菲律宾哥打巴托海沟进行早期海啸检测的传感器的位置。