Autonomous Tracking of Salinity-Intrusion Fronts by a Long-Range Autonomous Underwater Vehicle.
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| Title: | Autonomous Tracking of Salinity-Intrusion Fronts by a Long-Range Autonomous Underwater Vehicle. |
|---|---|
| Authors: | Zhang, Yanwu1 (AUTHOR) yzhang@mbari.org, Yoder, Noa2 (AUTHOR) nyoder@whoi.edu, Kieft, Brian1 (AUTHOR) bkieft@mbari.org, Kukulya, Amy2 (AUTHOR) akukulya@whoi.edu, Hobson, Brett W.1 (AUTHOR) hobson@mbari.org, Ryan, Svenja2 (AUTHOR) sryan@whoi.edu, Gawarkiewicz, Glen G.2 (AUTHOR) ggawarkiewicz@whoi.edu |
| Source: | IEEE Journal of Oceanic Engineering. Oct2022, Vol. 47 Issue 4, p950-958. 9p. |
| Subjects: | Autonomous underwater vehicles, Continental shelf, Fisheries, Spring, Marine ecology, Fresh water |
| Geographic Terms: | New England |
| Abstract: | Shoreward intrusions of anomalously salty water along the continental shelf of the Middle Atlantic Bight are often observed in spring and summer. Exchange of heat, nutrients, and carbon across the salinity-intrusion front has a significant impact on the marine ecosystem and fisheries. In this article, we developed a method of using an autonomous underwater vehicle (AUV) to detect a salinity-intrusion front and track the front's movement. Autonomous front detection is based on the different vertical structures of salinity in the two distinct water types: the vertical difference of salinity is large in the intruding saltier water because of the salinity “tongue” at mid-depth, but is small in the nearshore fresher water due to absence of the salinity anomaly. Every time the AUV crosses and detects the front, the vehicle makes a turn at an oblique angle to cross the front, thus zigzagging through the front to map the frontal zone. The AUV's zigzags sweep back and forth to track the front as it moves over time. From June 25 to 30, 2021, a Tethys-class long-range AUV mapped and tracked a salinity-intrusion front on the southern New England shelf. The frontal tracking revealed the salinity intrusion's 3-D structure and temporal evolution with unprecedented detail. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Journal of Oceanic Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 160687794 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Autonomous Tracking of Salinity-Intrusion Fronts by a Long-Range Autonomous Underwater Vehicle. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Yanwu%22">Zhang, Yanwu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yzhang@mbari.org</i><br /><searchLink fieldCode="AR" term="%22Yoder%2C+Noa%22">Yoder, Noa</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> nyoder@whoi.edu</i><br /><searchLink fieldCode="AR" term="%22Kieft%2C+Brian%22">Kieft, Brian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bkieft@mbari.org</i><br /><searchLink fieldCode="AR" term="%22Kukulya%2C+Amy%22">Kukulya, Amy</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> akukulya@whoi.edu</i><br /><searchLink fieldCode="AR" term="%22Hobson%2C+Brett+W%2E%22">Hobson, Brett W.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hobson@mbari.org</i><br /><searchLink fieldCode="AR" term="%22Ryan%2C+Svenja%22">Ryan, Svenja</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> sryan@whoi.edu</i><br /><searchLink fieldCode="AR" term="%22Gawarkiewicz%2C+Glen+G%2E%22">Gawarkiewicz, Glen G.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ggawarkiewicz@whoi.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Journal+of+Oceanic+Engineering%22">IEEE Journal of Oceanic Engineering</searchLink>. Oct2022, Vol. 47 Issue 4, p950-958. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Autonomous+underwater+vehicles%22">Autonomous underwater vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Continental+shelf%22">Continental shelf</searchLink><br /><searchLink fieldCode="DE" term="%22Fisheries%22">Fisheries</searchLink><br /><searchLink fieldCode="DE" term="%22Spring%22">Spring</searchLink><br /><searchLink fieldCode="DE" term="%22Marine+ecology%22">Marine ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Fresh+water%22">Fresh water</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22New+England%22">New England</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Shoreward intrusions of anomalously salty water along the continental shelf of the Middle Atlantic Bight are often observed in spring and summer. Exchange of heat, nutrients, and carbon across the salinity-intrusion front has a significant impact on the marine ecosystem and fisheries. In this article, we developed a method of using an autonomous underwater vehicle (AUV) to detect a salinity-intrusion front and track the front's movement. Autonomous front detection is based on the different vertical structures of salinity in the two distinct water types: the vertical difference of salinity is large in the intruding saltier water because of the salinity “tongue” at mid-depth, but is small in the nearshore fresher water due to absence of the salinity anomaly. Every time the AUV crosses and detects the front, the vehicle makes a turn at an oblique angle to cross the front, thus zigzagging through the front to map the frontal zone. The AUV's zigzags sweep back and forth to track the front as it moves over time. From June 25 to 30, 2021, a Tethys-class long-range AUV mapped and tracked a salinity-intrusion front on the southern New England shelf. The frontal tracking revealed the salinity intrusion's 3-D structure and temporal evolution with unprecedented detail. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Journal of Oceanic Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/JOE.2022.3146584 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 950 Subjects: – SubjectFull: Autonomous underwater vehicles Type: general – SubjectFull: Continental shelf Type: general – SubjectFull: Fisheries Type: general – SubjectFull: Spring Type: general – SubjectFull: Marine ecology Type: general – SubjectFull: Fresh water Type: general – SubjectFull: New England Type: general Titles: – TitleFull: Autonomous Tracking of Salinity-Intrusion Fronts by a Long-Range Autonomous Underwater Vehicle. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Yanwu – PersonEntity: Name: NameFull: Yoder, Noa – PersonEntity: Name: NameFull: Kieft, Brian – PersonEntity: Name: NameFull: Kukulya, Amy – PersonEntity: Name: NameFull: Hobson, Brett W. – PersonEntity: Name: NameFull: Ryan, Svenja – PersonEntity: Name: NameFull: Gawarkiewicz, Glen G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 03649059 Numbering: – Type: volume Value: 47 – Type: issue Value: 4 Titles: – TitleFull: IEEE Journal of Oceanic Engineering Type: main |
| ResultId | 1 |
