An ANN algorithm for automatic, real-time tsunami detection in deep-sea level measurements

Beltrami, Gian Mario

doi:10.1016/j.oceaneng.2007.11.009

Cited by 32 publications

(39 citation statements)

References 15 publications

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“…In parallel, the interest on real-time tsunami detection has increased in the scientific community (see e.g. recent contributions by Beltrami, 2008;Bellotti et al, 2009;Vela and Pérez, 2009;Wijeratne and Woodworth, 2009;Illigner and Schöne, 2009;Tolkova, 2009Tolkova, , 2010.…”

Section: Introductionmentioning

confidence: 99%

Structure and performance of a real-time algorithm to detect tsunami or tsunami-like alert conditions based on sea-level records analysis

Bressan

Tinti

2011

Nat. Hazards Earth Syst. Sci.

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Abstract. The goal of this paper is to present an original real-time algorithm devised for detection of tsunami or tsunami-like waves we call TEDA (Tsunami Early Detection Algorithm), and to introduce a methodology to evaluate its performance. TEDA works on the sea level records of a single station and implements two distinct modules running concurrently: one to assess the presence of tsunami waves ("tsunami detection") and the other to identify highamplitude long waves ("secure detection"). Both detection methods are based on continuously updated time functions depending on a number of parameters that can be varied according to the application. In order to select the most adequate parameter setting for a given station, a methodology to evaluate TEDA performance has been devised, that is based on a number of indicators and that is simple to use. In this paper an example of TEDA application is given by using data from a tide gauge located at the Adak Island in Alaska, USA, that resulted in being quite suitable since it recorded several tsunamis in the last years using the sampling rate of 1 min.

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Section: Introductionmentioning

confidence: 99%

Structure and performance of a real-time algorithm to detect tsunami or tsunami-like alert conditions based on sea-level records analysis

Bressan

Tinti

2011

Nat. Hazards Earth Syst. Sci.

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“…Existing technology is expensive to implement and has limitations. The expectation is that both hardware and methodologies will advance significantly in the near future (Beltrami et al, 2011;Curtis, 2011;Hamlington et al, 2011). Therefore, the existence of an early warning system is likely in south-and south-east Asia, as exists now in the Pacific Ocean.…”

Section: An Early Warning Systemmentioning

confidence: 99%

The Place of a Village Within a Tsunami Early Warning System

Rempel¹

2011

Tsunami - A Growing Disaster

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“…Others were later devised for GPS buoys and acoustic/pressure wave gauges in Japan by Shimizu et al (2006), and for coastal tide gauges in Canada (Rabinovich and Stephenson, 2004). Among the most recent efforts, one can mention the studies of tsunami detection algorithms for high-frequency (HF) radar installations (Gurgel et al, 2011;Lipa et al, 2012), for BPR sensors (Beltrami, 2008(Beltrami, , 2011, for coastal tide gauges Bressan and Tinti, 2011) and also for wind wave measurements .…”

Section: Introductionmentioning

confidence: 99%

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

Bressan

Zaniboni

Tinti

2013

Nat. Hazards Earth Syst. Sci.

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Abstract. 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.

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An ANN algorithm for automatic, real-time tsunami detection in deep-sea level measurements

Cited by 32 publications

References 15 publications

Structure and performance of a real-time algorithm to detect tsunami or tsunami-like alert conditions based on sea-level records analysis

Structure and performance of a real-time algorithm to detect tsunami or tsunami-like alert conditions based on sea-level records analysis

The Place of a Village Within a Tsunami Early Warning System

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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