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

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

doi:https://doi.org/10.5194/nhess-16-2603-2016

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

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Month	HTML	PDF	XML	Total
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Mar 2025	8	9	0	17
Apr 2025	7	12	0	19
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Jun 2025	27	18	3	48
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Cumulative views and downloads (calculated since 07 Jun 2016)

Month	HTML	PDF	XML	Total
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Jul 2016	11	3	1	15
Aug 2016	21	1	0	22
Sep 2016	4	2	0	6
Oct 2016	9	2	1	12
Nov 2016	5	2	1	8
Dec 2016	74	13	2	89
Jan 2017	49	14	1	64
Feb 2017	17	5	5	27
Mar 2017	19	12	0	31
Apr 2017	12	4	0	16
May 2017	18	5	0	23
Jun 2017	16	6	0	22
Jul 2017	14	10	0	24
Aug 2017	8	12	2	22
Sep 2017	15	10	0	25
Oct 2017	4	5	1	10
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Jan 2025	10	5	0	15
Feb 2025	15	5	1	21
Mar 2025	8	9	0	17
Apr 2025	7	12	0	19
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Cited

Latest update: 03 Aug 2025

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.

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

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Cited

6 citations as recorded by crossref.

6 citations as recorded by crossref.