the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A Methodology For Optimal Designing Of Monitoring Sensor Networks For Tsunami Inversion
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.
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RC1: 'Optimal Design of Tsunami Sensor Locations', Anonymous Referee #1, 19 Nov 2018
- AC1: 'Response to Review - Anonymous Referee #1', Joaquin Meza, 26 Jan 2019
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RC2: 'Review of "A Methodology For Optimal Designing Of Monitoring Sensor Networks For Tsunami Inversion"', Joern Behrens, 20 Nov 2018
- AC2: 'Response to Review - J. Behrens', Joaquin Meza, 26 Jan 2019
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RC1: 'Optimal Design of Tsunami Sensor Locations', Anonymous Referee #1, 19 Nov 2018
- AC1: 'Response to Review - Anonymous Referee #1', Joaquin Meza, 26 Jan 2019
-
RC2: 'Review of "A Methodology For Optimal Designing Of Monitoring Sensor Networks For Tsunami Inversion"', Joern Behrens, 20 Nov 2018
- AC2: 'Response to Review - J. Behrens', Joaquin Meza, 26 Jan 2019
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Cited
4 citations as recorded by crossref.
- A Study of the Optimal Deployment of Tsunami Observation Instruments in Korea E. Lee et al. 10.26748/KSOE.2019.100
- Numerical and Probabilistic Study on the Optimal Region for Tsunami Detection Instrument Deployment in the Eastern Sea of Korea E. Lee et al. 10.3390/app10176071
- MULTI-OBJECTIVE OPTIMIZATION OF OFFSHORE TSUNAMI OBSERVATION POINTS BY GENETIC ALGORITHM K. KURAMOTO et al. 10.2208/kaigan.76.2_I_325
- Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review M. Esposito et al. 10.3390/s22062124