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首页> 外文期刊>Natural Hazards and Earth System Sciences Discussions >Calibration of a real-time tsunami detection algorithm for sites with no instrumental tsunami records: application to coastal tide-gauge stations in eastern Sicily, Italy
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Calibration of a real-time tsunami detection algorithm for sites with no instrumental tsunami records: application to coastal tide-gauge stations in eastern Sicily, Italy

机译:校准没有乐器海啸记录的网站实时海啸检测算法:在意大利东方西西里岛沿海潮汐仪站的应用

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Coastal tide gauges play a very important role in a tsunami warning system, since sea-level data are needed for a correct evaluation of the tsunami threat, and the tsunami arrival has to be recognized as early as possible. Real-time tsunami detection algorithms serve this purpose. For an efficient detection, they have to be calibrated and adapted to the specific local characteristics of the site where they are installed, which is easily done when the station has recorded a sufficiently large number of tsunamis. In this case the recorded database can be used to select the best set of parameters enhancing the discrimination power of the algorithm and minimizing the detection time. This chance is however rare, since most of the coastal tide-gauge stations, either historical or of new installation, have recorded only a few tsunamis in their lifetimes, if any. In this case calibration must be carried out by using synthetic tsunami signals, which poses the problem of how to generate them and how to use them. This paper investigates this issue and proposes a calibration approach by using as an example a specific case, which is the calibration of a real-time detection algorithm called TEDA (Tsunami Early Detection Algorithm) for two stations (namely Tremestieri and Catania) in eastern Sicily, Italy, which were recently installed in the frame of the Italian project TSUNET, aiming at improving the tsunami monitoring capacity in a region that is one of the most hazardous tsunami areas of Italy and of the Mediterranean.
机译:沿海潮仪表在海啸警告系统中发挥着非常重要的作用,因为需要海平面数据来正确评估海啸威胁,而海啸抵达必须尽早认可。实时海啸检测算法为此目的。为了有效的检测,必须校准它们,适应安装在安装的位置的特定局部特征,当车站记录了足够大量的海啸时,这很容易完成。在这种情况下,记录的数据库可用于选择最佳的参数集,增强算法的判别功率并最小化检测时间。然而,这种机会非常罕见,因为大多数沿海潮汐仪站,历史或新安装,只有几次海啸,如果有的话。在这种情况下,必须通过使用合成的海啸信号来执行校准,这造成了如何生成它们的问题以及如何使用它们。本文调查了该问题,并通过用作示例的特定情况提出了校准方法,这是在西西里岛东部的两个站(即Tremestieri和卡塔尼亚)的TEDA(海啸早期检测算法)的实时检测算法校准该意大利最近安装在意大利项目Tsunet的框架,旨在提高海啸监测能力,该地区是意大利最具危险的海啸地区之一和地中海。

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