Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.
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| Title: | Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A. |
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| Authors: | Honghai Li1 Honghai.Li@usace.army.mil, Lihwa Lin1, Burks-Copes, Kelly A.2 |
| Source: | Journal of Coastal Research. Jan2013, Vol. 29 Issue 1, p18-30. 13p. 1 Diagram, 6 Charts, 10 Graphs, 8 Maps. |
| Subjects: | Computational hydrodynamics software, Floods, Storm surges, Absolute sea level change, Ocean waves, Coastal zone management, Mathematical models |
| Abstract: | The potential risk and effects of storm-surge damage caused by the combination of hurricane-force waves, tides, and relative sea-level-rise (RSLR) scenarios were examined at the U.S. Naval Station, Norfolk, Virginia. A hydrodynamic and sediment transport modeling system validated with measured water levels from Hurricane Isabel was used to simulate two synthesized storms representing 50-year and 100-year return-period hurricanes, a northeaster, and five future RSLR scenarios to evaluate the combined impacts of inundation on this military installation in the lower Chesapeake Bay. The naval base topography and nearshore water body of Hampton Roads were included in the coastal modeling system (CMS), a suite of surge, circulation, wave, sediment transport, and morphology evolution models. The modeling domain was a rectangular area covering the entire Naval Station Norfolk in the Hampton Roads and the mouths of the James and Elizabeth rivers. A variable-resolution grid system was created with a finer resolution of 10 m in the naval base and a coarser resolution of 300 m in the regions away from the base. The boundary-forcing conditions to the CMS were regional storm surge produced by the ADvanced CIRCulation (ADCIRC),and wave conditions by the Simulating WAve Nearshore (SWAN) model. The CMS calculated the local water-surface elevation and storm-surge inundation for combined RSLR, surge, waves, and wind. Results indicate that synthetic storms would cause extensive inundation of coastal land around the naval base. Approximately 60% of the land would be under water with the 100-year storm for the present sea level, and 80% for estimated RSLR of 2 m. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Coastal Research is the property of KnowledgeWorks Global, Ltd 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 85107040 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Honghai+Li%22">Honghai Li</searchLink><relatesTo>1</relatesTo><i> Honghai.Li@usace.army.mil</i><br /><searchLink fieldCode="AR" term="%22Lihwa+Lin%22">Lihwa Lin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Burks-Copes%2C+Kelly+A%2E%22">Burks-Copes, Kelly A.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Coastal+Research%22">Journal of Coastal Research</searchLink>. Jan2013, Vol. 29 Issue 1, p18-30. 13p. 1 Diagram, 6 Charts, 10 Graphs, 8 Maps. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computational+hydrodynamics+software%22">Computational hydrodynamics software</searchLink><br /><searchLink fieldCode="DE" term="%22Floods%22">Floods</searchLink><br /><searchLink fieldCode="DE" term="%22Storm+surges%22">Storm surges</searchLink><br /><searchLink fieldCode="DE" term="%22Absolute+sea+level+change%22">Absolute sea level change</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+waves%22">Ocean waves</searchLink><br /><searchLink fieldCode="DE" term="%22Coastal+zone+management%22">Coastal zone management</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The potential risk and effects of storm-surge damage caused by the combination of hurricane-force waves, tides, and relative sea-level-rise (RSLR) scenarios were examined at the U.S. Naval Station, Norfolk, Virginia. A hydrodynamic and sediment transport modeling system validated with measured water levels from Hurricane Isabel was used to simulate two synthesized storms representing 50-year and 100-year return-period hurricanes, a northeaster, and five future RSLR scenarios to evaluate the combined impacts of inundation on this military installation in the lower Chesapeake Bay. The naval base topography and nearshore water body of Hampton Roads were included in the coastal modeling system (CMS), a suite of surge, circulation, wave, sediment transport, and morphology evolution models. The modeling domain was a rectangular area covering the entire Naval Station Norfolk in the Hampton Roads and the mouths of the James and Elizabeth rivers. A variable-resolution grid system was created with a finer resolution of 10 m in the naval base and a coarser resolution of 300 m in the regions away from the base. The boundary-forcing conditions to the CMS were regional storm surge produced by the ADvanced CIRCulation (ADCIRC),and wave conditions by the Simulating WAve Nearshore (SWAN) model. The CMS calculated the local water-surface elevation and storm-surge inundation for combined RSLR, surge, waves, and wind. Results indicate that synthetic storms would cause extensive inundation of coastal land around the naval base. Approximately 60% of the land would be under water with the 100-year storm for the present sea level, and 80% for estimated RSLR of 2 m. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Coastal Research is the property of KnowledgeWorks Global, Ltd 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: 10.2112/JCOASTRES-D-12-00056.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 18 Subjects: – SubjectFull: Computational hydrodynamics software Type: general – SubjectFull: Floods Type: general – SubjectFull: Storm surges Type: general – SubjectFull: Absolute sea level change Type: general – SubjectFull: Ocean waves Type: general – SubjectFull: Coastal zone management Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Honghai Li – PersonEntity: Name: NameFull: Lihwa Lin – PersonEntity: Name: NameFull: Burks-Copes, Kelly A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 07490208 Numbering: – Type: volume Value: 29 – Type: issue Value: 1 Titles: – TitleFull: Journal of Coastal Research Type: main |
| ResultId | 1 |
