Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/11175| DC Field | Value | Language |
|---|---|---|
| dc.date.accessioned | 2018-03-14T08:43:17Z | en |
| dc.date.available | 2018-03-14T08:43:17Z | en |
| dc.date.issued | 2017-01 | en |
| dc.identifier.uri | http://hdl.handle.net/2122/11175 | en |
| dc.description.abstract | Real-time tsunami detection algorithms play a key role in any Tsunami Early Warning System. We have developed a new algorithm for tsunami detection based on the real-time tide removal and real-time band-pass filtering of seabed pressure recordings. The algorithm greatly increases the tsunami detection probability, shortens the detection delay and enhances detection reliability with respect to the most widely used tsunami detection algorithm, while containing the computational cost. The algorithm is designed to be used also in autonomous early warning systems with a set of input parameters and procedures which can be reconfigured in real time. We have also developed a methodology based on Monte Carlo simulations to test the tsunami detection algorithms. The algorithm performance is estimated by defining and evaluating statistical parameters, namely the detection probability, the detection delay, which are functions of the tsunami amplitude and wavelength, and the occurring rate of false alarms. Pressure data sets acquired by Bottom Pressure Recorders in different locations and environmental conditions have been used in order to consider real working scenarios in the test. We also present an application of the algorithm to the tsunami event which occurred at Haida Gwaii on 28 October 2012 using data recorded by the Bullseye underwater node of Ocean Networks Canada. The algorithm successfully ran for test purpose in year-long missions onboard abyssal observatories, deployed in the Gulf of Cadiz and in the Western Ionian Sea. | en |
| dc.description.sponsorship | EC NEAREST project (GOCE0307110) , LIDO - EC-ESONET DM Mission (036851) and RITMARE | en |
| dc.language.iso | English | en |
| dc.publisher.name | AGU | en |
| dc.relation.ispartof | Journal of geophysical research - Oceans | en |
| dc.relation.ispartofseries | 1/122(2017) | en |
| dc.subject | tsunami | en |
| dc.subject | detection | en |
| dc.subject | algorithms | en |
| dc.subject | Tsunami Early Warning | en |
| dc.title | A new real-time tsunami detection algorithm | en |
| dc.title.alternative | TSUNAMI DETECTION ALGORITHM | en |
| dc.type | article | en |
| dc.description.status | Published | en |
| dc.type.QualityControl | Peer-reviewed | en |
| dc.description.pagenumber | 636–652 | en |
| dc.identifier.doi | 10.1002/2016JC012170 | en |
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Solid Earth, 119, 3317–3339, doi:10.1002/ 2013JB010504. Wah, B. W., and M. Qian (2002), Constrained formulations and algorithms for stock-price predictions using recurrent FIR neural networks, in Proceedings of the 18th National Conference on artificial intelligence (AAAI-2002), Edmonton, Alberta, Canada edited by R. Dechter, M. Kearns, and R. Sutton, The AAAI Press, Menlo Park, Calif. Zielinski, A., and N. K. Saxena (1983), Tsunami detectability using open-ocean bottom pressure fluctuations, IEEE J. Oceanic Eng., 8(4), 272–280. | en |
| dc.description.obiettivoSpecifico | 3A. Geofisica marina | en |
| dc.description.journalType | JCR Journal | en |
| dc.contributor.author | Chierici, Francesco | en |
| dc.contributor.author | Embriaco, Davide | en |
| dc.contributor.author | Pignagnoli, Luca | en |
| dc.contributor.department | Istituto di Radioastronomia-Istituto Nazionale di Astrofisica, Bologna, Italy, | en |
| dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia | en |
| dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia | en |
| item.openairetype | article | - |
| item.cerifentitytype | Publications | - |
| item.languageiso639-1 | en | - |
| item.grantfulltext | restricted | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.fulltext | With Fulltext | - |
| crisitem.author.dept | IRA-INAF, Via P. Gobetti, 101 40129 Bologna, Italy | - |
| crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia | - |
| crisitem.author.dept | Istituto di Scienze Marine-CNR, sez. di Bologna, Italy | - |
| crisitem.author.orcid | 0000-0001-7943-7341 | - |
| crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
| crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
| crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
| Appears in Collections: | Article published / in press | |
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| 2017_TDA_jgrc22078.pdf | 6.2 MB | Adobe PDF | View/Open |
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