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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/nhess-2018-269
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2018-269
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 22 Oct 2018

Research article | 22 Oct 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

A Methodology For Optimal Designing Of Monitoring Sensor Networks For Tsunami Inversion

Joaquín Meza1, Patricio A. Catalán1,3,4, and Hiroaki Tsushima2 Joaquín Meza et al.
  • 1Departmento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaíso, Chile
  • 2Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • 3Centro de Investigación para la Gestión Integrada del Riesgo de Desastres (CIGIDEN), Santiago, Chile
  • 4Centro Científico Tecnológico de Valparaíso-CCTVal, Universidad Técnica Federico Santa María, Valparaíso, Chile

Abstract. A methodology to optimize the design of an offshore tsunami network array is presented, allowing placement of sensors to be used in a Early Tsunami Warning System framework. The method improves on previous methods by including multiple tsunami parameters as a measure of the predictive accuracy through a single cost function. The use of different tsunami parameters allows for a network which is less subject to biases found when using a single parameter. The resulting network performance was tested against an historical event, suggesting that having such a network in place could have provided meaningful information for the hazard assessment. The low number of sensors required may be useful in implementing such networks in places where funding of denser arrays might be of concern.

Joaquín Meza et al.
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Joaquín Meza et al.
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Short summary
A methodology to optimize the design of an offshore tsunami network array is presented, allowing placement of sensors to be used in a Early Tsunami Warning System framework. The method includes multiple tsunami parameters as a measure of the predictive accuracy through a single cost function. The resulting network performance was tested against an historical event, suggesting that having such a network in place could have provided meaningful information for the hazard assessment.
A methodology to optimize the design of an offshore tsunami network array is presented, allowing...
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