Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 16, issue 12
Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2603-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-2603-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 16, issue 12
Research article
 | 
09 Dec 2016
Research article |  | 09 Dec 2016

Tsunami arrival time detection system applicable to discontinuous time series data with outliers

Jun-Whan Lee, Sun-Cheon Park, Duk Kee Lee, and Jong Ho Lee

Viewed

Total article views: 2,078 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,051 934 93 2,078 94 87
  • HTML: 1,051
  • PDF: 934
  • XML: 93
  • Total: 2,078
  • BibTeX: 94
  • EndNote: 87
Views and downloads (calculated since 07 Jun 2016)
Cumulative views and downloads (calculated since 07 Jun 2016)

Cited

Latest update: 17 Jul 2024
Download
Short summary
Water level sensors often experience unexpected gaps and outliers that cause major difficulties in detecting tsunamis. Thus, we propose a tsunami arrival time detection system applicable to discontinuous time-series data with outliers. We want to stress that the efficiency and simplicity of the system enable its wide application in tsunami monitoring areas.
Read more
Altmetrics
Final-revised paper
Preprint