台灣位處於歐亞大陸板塊以及菲律賓海板塊的交接處，地震頻繁且密集，而大地震也幾乎是每10年就有一次，往往造成重大的生命、財產損失。現今的強震預警系統可以有效的在地震來時提供預警，使人們有幾秒鐘的時間可以做出反應，進而降低人命財產上的損失。然而，強震預警系統的價格昂貴，要建置與維護的成本龐大；另外，對於經濟能力較為低落的國家更為困難。另一方面，現在智慧型手機已經相當地普及，幾乎人人手上都有一隻智慧型手機。因此，本研究擬研發智慧型手機之現地型強震預警行動應用程式 ”My Shake Alert”， ，爾後，改名為”EQ Alert”利用手機本身量測到的加速度，利用類神經網路辨別地震及預測最大加速度，並利用振動台驗證 ” EQ Alert” 的可行性。

Large magnitude earthquakes continue to thread Taiwan and worldwide countries. Earthquake early warning (EEW) provides seconds to minutes of warning, allowing people to move to safe zones and automated slowdown and shutdown of transit and other machinery. Existing EEW systems only operating in a few nations, mainly due to high cost for establishment and maintaining. Smartphones are prevalent to populace and contain accelerometers that can also be used to detect earthquakes. In this study, a mobile application software called “EQ Alert” is developed to estimate peak acceleration of the coming earthquake using artificial neural network with measured P-wave features. Shaking table tests are conducted to verify the feasibility of “EQ Alert”.
Keywords: on-site earthquake early warning, smartphone, app, EQ Alert, peak acceleration, EEW

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