Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.

Li, Honghai; Lin, Lihwa; Burks-Copes, Kelly A.

doi:10.2112/jcoastres-d-12-00056.1

Cited by 16 publications

(9 citation statements)

References 44 publications

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“…rain and stream gauges). The output of a typical hydrodynamic model provides georeferenced predictions that can be used to delineate a wet/dry boundary (Li, Lin, and Burks-Copes, 2013;Mason, Bates, and Amico, 2009;Reid, Tissot, and Williams, 2014;Townsend and Walsh, 1998).…”

Section: Assessing Vulnerability To Floodingmentioning

confidence: 99%

Remote Sensing of Floods and Flood-Prone Areas: An Overview

Klemas

2015

Journal of Coastal Research

163

100

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Klemas, V., 2015. Remote sensing of floods and flood-prone areas: An overview. Journal of Coastal Research, 31(4), 1005-1013. Coconut Creek (Florida), ISSN 0749-0208.River floods and coastal storm surges affect the lives of more people than most other weather-related disasters. Floods can destroy homes, roads, and bridges; tear out trees; cause mudslides; and take many human lives. During flooding, timely and detailed situation reports are required by disaster management authorities to locate and identify affected areas and to implement damage mitigation. Remote sensing systems on satellites and aircraft can provide much of the required information for delineating the flood-affected areas, assessing the damage, and feeding models that can predict the vulnerability to flooding of inland and coastal areas. In this article, I provide an overview of remote sensing and modeling techniques for forecasting the vulnerability to flooding of an area, determining the extent and intensity of the flooding, and assessing the damage caused by the flood.ADDITIONAL INDEX WORDS: Flood remote sensing, coastal flooding, storm surge, river flooding, flooding vulnerability, flood damage assessment.

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Section: Assessing Vulnerability To Floodingmentioning

confidence: 99%

Remote Sensing of Floods and Flood-Prone Areas: An Overview

Klemas

2015

Journal of Coastal Research

163

100

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“…Several previous studies have investigated storm surge flooding in the Hampton Roads region. For instance, Li et al (2013) used the Coastal Modeling System (CMS), a suite of models that simulate storm surge, waves, circulation, sediment transport, and morphological change, to study SLR impacts on Naval Station Norfolk. The domain of the CMS was limited to the naval base, and the boundary conditions to this domain were produced by the ADCIRC model (Westerink et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Modeling the Impacts of Sea Level Rise on Storm Surge Inundation in Flood-Prone Urban Areas of Hampton Roads, Virginia

Castrucci¹,

Tahvildari²

2018

mar technol soc j

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Hampton Roads is a populated area in the United States Mid-Atlantic region that is highly affected by sea level rise (SLR). The transportation infrastructure in the region is increasingly disrupted by storm surge and even minor flooding events. The purpose of this study is to improve our understanding of SLR impacts on storm surge flooding in the region. We develop a hydrodynamic model to study the vulnerability of several critical flood-prone neighborhoods to storm surge flooding under several SLR projections. The hydrodynamic model is validated for tide prediction, and its performance in storm surge simulation is validated with the water level data from Hurricane Irene (2011). The developed model is then applied to three urban flooding hotspots located in Norfolk, Chesapeake, and the Isle of Wight. The extent, intensity, and duration of storm surge inundation under different SLR scenarios are estimated. Furthermore, the difference between the extent of flooding as predicted by the hydrodynamic model and the “bathtub” approach is highlighted.

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“…We used a large-domain hydrodynamics model, the Advanced Circulation model (ADCIRC) (Luettich et al, 1992) tightly coupled to the Simulating WAves Nearshore (SWAN) model (Booij et al, 1999;Dietrich et al, 2011), to estimate water level heights, storm surge, and significant wave height in the nearshore zone of LAC (Egbert & Erofeeva, 2002;Garzon et al, 2018;Li et al, 2013;Sahoo et al, 2019;Westerink et al, 2008). The model domain was set up as an unstructured grid (Roberts et al, 2019), allowing for ingestion of detailed bathymetry of the shallow carbonate platform (Harris & Ellis, 2008) and the shoreline of LAC (supporting information Figures S1 and S2) (Tozer et al, 2019;Wessel & Smith, 1996).…”

Section: 1029/2020jf005597mentioning

confidence: 99%

Hurricane Deposits on Carbonate Platforms: A Case Study of Hurricane Irma Deposits on Little Ambergris Cay, Turks and Caicos Islands

et al. 2020

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The study of modern hurricane deposits is useful in both identifying ancient hurricane deposits in the rock record and predicting patterns of deposition and erosion produced by future storm events. Hurricane deposits on carbonate platforms have been studied less frequently than have been those along continental coasts. Here we present observations of the characteristics of deposition and scour caused by Hurricane Irma on Little Ambergris Cay, a small uninhabited island located near the southeastern edge of the Caicos platform in the Turks and Caicos Islands. Hurricane Irma passed directly over Little Ambergris Cay on 7 September 2017 as a Category 5 hurricane. We described and sampled multiple types of hurricane deposits and determined that the washover fans were the best sedimentological records for hurricane conditions, as they were subject to very little reworking over time. We compared different model predictions of storm tide and wave height with eyewitness reports and distributions of scour. Examining the washover fans allowed for the construction of a conceptual model for hurricane deposits formed in a high‐energy storm event on a carbonate platform. Characteristics of the washover fans were their small size, the lack of sedimentary structures, and very well sorted sediment. The size and distribution of carbonate boulders eroded and transported by the storm are consistent with depth‐averaged flow velocities in the range of 1.5–5.3 m/s. The strength of the storm and the low‐lying topography, distinct features of a carbonate platform setting, contributed to high levels of sediment bypass and high flow velocities, resulting in small, unstructured deposits.

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Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.

Cited by 16 publications

References 44 publications

Remote Sensing of Floods and Flood-Prone Areas: An Overview

Remote Sensing of Floods and Flood-Prone Areas: An Overview

Modeling the Impacts of Sea Level Rise on Storm Surge Inundation in Flood-Prone Urban Areas of Hampton Roads, Virginia

Hurricane Deposits on Carbonate Platforms: A Case Study of Hurricane Irma Deposits on Little Ambergris Cay, Turks and Caicos Islands

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