Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response
Abstract We have explored tsunami current signals in maritime Automatic Identification System (AIS) data during the 2011 Tohoku, Japan, tsunami. The AIS data were investigated in detail taking into account ship motion and response to tsunami current. Ship velocity derived from AIS data was divided i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-03-01
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| Series: | Earth, Planets and Space |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40623-020-01165-7 |
| _version_ | 1819047561226354688 |
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| author | Daisuke Inazu Tsuyoshi Ikeya Toshio Iseki Takuji Waseda |
| author_facet | Daisuke Inazu Tsuyoshi Ikeya Toshio Iseki Takuji Waseda |
| author_sort | Daisuke Inazu |
| collection | DOAJ |
| description | Abstract We have explored tsunami current signals in maritime Automatic Identification System (AIS) data during the 2011 Tohoku, Japan, tsunami. The AIS data were investigated in detail taking into account ship motion and response to tsunami current. Ship velocity derived from AIS data was divided into two components in terms of the ship heading: heading-normal and heading-parallel directions. The heading-normal velocity showed good agreement with the simulated tsunami current, as mentioned in our former research. Here, we found the heading-normal velocity was contaminated by non-tsunami noises that were mostly related to the ship yaw motion around the pivot point. The noises due to the yaw motion were reasonably corrected in the heading-normal velocity. The corrected heading-normal velocity clearly showed better agreement with the simulated tsunami current. Although the heading-parallel velocity is basically the navigation speed, and is mostly controlled by ships’ captain, we could find the heading-parallel velocity was also drifted by tsunami currents. The corrected heading-normal velocity was still a ship response to the tsunami current. Based on an equation of a ship response to tsunami currents, we numerically estimated tsunami current from the corrected heading-normal velocity. We could find very slight improvements in estimating the tsunami currents, which indicated that this operation possibly worked as a secondary correction. Tsunami currents of tens of centimeters per second are expected to be suitably detected using AIS based on discussion on detection limit. |
| first_indexed | 2024-12-21T11:02:19Z |
| format | Article |
| id | doaj.art-7857d37be7cc47239ba9986e9f44e0db |
| institution | Directory Open Access Journal |
| issn | 1880-5981 |
| language | English |
| last_indexed | 2024-12-21T11:02:19Z |
| publishDate | 2020-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Earth, Planets and Space |
| spelling | doaj.art-7857d37be7cc47239ba9986e9f44e0db2022-12-21T19:06:18ZengSpringerOpenEarth, Planets and Space1880-59812020-03-0172111310.1186/s40623-020-01165-7Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship responseDaisuke Inazu0Tsuyoshi Ikeya1Toshio Iseki2Takuji Waseda3Department of Marine Resources and Energy, Tokyo University of Marine Science and TechnologyDepartment of Marine Resources and Energy, Tokyo University of Marine Science and TechnologyDepartment of Maritime Systems Engineering, Tokyo University of Marine Science and TechnologyGraduate School of Frontier Sciences, The University of TokyoAbstract We have explored tsunami current signals in maritime Automatic Identification System (AIS) data during the 2011 Tohoku, Japan, tsunami. The AIS data were investigated in detail taking into account ship motion and response to tsunami current. Ship velocity derived from AIS data was divided into two components in terms of the ship heading: heading-normal and heading-parallel directions. The heading-normal velocity showed good agreement with the simulated tsunami current, as mentioned in our former research. Here, we found the heading-normal velocity was contaminated by non-tsunami noises that were mostly related to the ship yaw motion around the pivot point. The noises due to the yaw motion were reasonably corrected in the heading-normal velocity. The corrected heading-normal velocity clearly showed better agreement with the simulated tsunami current. Although the heading-parallel velocity is basically the navigation speed, and is mostly controlled by ships’ captain, we could find the heading-parallel velocity was also drifted by tsunami currents. The corrected heading-normal velocity was still a ship response to the tsunami current. Based on an equation of a ship response to tsunami currents, we numerically estimated tsunami current from the corrected heading-normal velocity. We could find very slight improvements in estimating the tsunami currents, which indicated that this operation possibly worked as a secondary correction. Tsunami currents of tens of centimeters per second are expected to be suitably detected using AIS based on discussion on detection limit.http://link.springer.com/article/10.1186/s40623-020-01165-7Tsunami currentAutomatic Identification SystemCourse over groundHeadingRate of turn |
| spellingShingle | Daisuke Inazu Tsuyoshi Ikeya Toshio Iseki Takuji Waseda Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response Earth, Planets and Space Tsunami current Automatic Identification System Course over ground Heading Rate of turn |
| title | Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response |
| title_full | Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response |
| title_fullStr | Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response |
| title_full_unstemmed | Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response |
| title_short | Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response |
| title_sort | extracting clearer tsunami currents from shipborne automatic identification system data using ship yaw and equation of ship response |
| topic | Tsunami current Automatic Identification System Course over ground Heading Rate of turn |
| url | http://link.springer.com/article/10.1186/s40623-020-01165-7 |
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