Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.102
IF3.102
IF 5-year value: 3.284
IF 5-year
3.284
CiteScore value: 5.1
CiteScore
5.1
SNIP value: 1.37
SNIP1.37
IPP value: 3.21
IPP3.21
SJR value: 1.005
SJR1.005
Scimago H <br class='widget-line-break'>index value: 90
Scimago H
index
90
h5-index value: 42
h5-index42
Preprints
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.

  22 Oct 2018

22 Oct 2018

Review status
This preprint was under review for the journal NHESS but the revision was not accepted.

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.

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Joaquín Meza et al.

Joaquín Meza et al.

Viewed

Total article views: 696 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
481 195 20 696 25 21
  • HTML: 481
  • PDF: 195
  • XML: 20
  • Total: 696
  • BibTeX: 25
  • EndNote: 21
Views and downloads (calculated since 22 Oct 2018)
Cumulative views and downloads (calculated since 22 Oct 2018)

Viewed (geographical distribution)

Total article views: 595 (including HTML, PDF, and XML) Thereof 595 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 27 Nov 2020
Publications Copernicus
Download
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...
Citation
Altmetrics