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DTIC ADA582932: Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, USA PDF

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JournalofCoastalResearch 29 1 18–30 CoconutCreek,Florida January2013 ModelingofCoastal Inundation,StormSurge,andRelativeSea- Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A. Honghai Li†, Lihwa Lin†, and Kelly A. Burks-Copes‡ †U.S.ArmyEngineerResearch&DevelopmentCenter ‡U.S.ArmyEngineerResearch&DevelopmentCenter CoastalandHydraulicsLaboratory EnvironmentalLaboratory 3909HallsFerryRoad 3909HallsFerryRoad Vicksburg,MS39180-6199,U.S.A. Vicksburg,MS39180-6199,U.S.A. [email protected] ABSTRACT Li,H.;Lin,L.,andBurks-Copes,K.A.,2013.Modelingofcoastalinundation,stormsurge,andrelativesea-levelriseat Naval StationNorfolk, Norfolk, Virginia, U.S.A. Journal ofCoastalResearch, 29(1),18–30. Coconut Creek (Florida), ISSN0749-0208. Thepotentialriskandeffectsofstorm-surgedamagecausedbythecombinationofhurricane-forcewaves,tides,and relativesea-level-rise(RSLR)scenarioswereexaminedattheU.S.NavalStation,Norfolk,Virginia.Ahydrodynamicand sedimenttransportmodelingsystemvalidatedwithmeasuredwaterlevelsfromHurricaneIsabelwasusedtosimulate two synthesized storms representing 50-year and 100-year return-period hurricanes, a northeaster, and five future RSLRscenariostoevaluatethecombinedimpactsofinundationonthismilitaryinstallationinthelowerChesapeake Bay.ThenavalbasetopographyandnearshorewaterbodyofHamptonRoadswereincludedinthecoastalmodeling system(CMS),asuiteofsurge,circulation,wave,sedimenttransport,andmorphologyevolutionmodels.Themodeling domainwasarectangularareacoveringtheentireNavalStationNorfolkintheHamptonRoadsandthemouthsofthe JamesandElizabethrivers.Avariable-resolutiongridsystemwascreatedwithafinerresolutionof10minthenaval baseandacoarserresolutionof300mintheregionsawayfromthebase.Theboundary-forcingconditionstotheCMS wereregionalstormsurgeproducedbytheADvancedCIRCulation(ADCIRC),andwaveconditionsbytheSimulating WAveNearshore(SWAN)model.TheCMScalculatedthelocalwater-surfaceelevationandstorm-surgeinundationfor combinedRSLR,surge,waves,andwind.Resultsindicatethatsyntheticstormswouldcauseextensiveinundationof coastallandaroundthenavalbase.Approximately60%ofthelandwouldbeunderwaterwiththe100-yearstormforthe presentsealevel,and80%forestimatedRSLRof2m. ADDITIONAL INDEX WORDS: Nearshore hydrodynamic modeling, waves, synthetic tropical storms, extratropical storms,HurricaneIsabel,landflooding. INTRODUCTION provide decision makers with relevant guidance regarding existingandfuturecoastalinfrastructuredevelopment. Globalsea-levelrise(SLR)rangingfrom0.5to2mhasbeen Militarycoastalinstallationsandfacilitiessupportarangeof predictedoverthenextcentury,from2000to2100(IPCC,2007; activities vital to national security and provide significant Pfeffer,Harper,andO’Neel,2008).RelativeSLR(RSLR)canbe benefitstothelocaleconomy.Thesefacilitiescarryoutdiverse greaterthanthe global trendbecauseoflocaleffectssuch as subsidence.ThecombinationofanincreaseinSLRandcoastal tasksfromoutdoortrainingactivities(ground,ports,harbors, storms, including hurricanes (tropical storms) and winter andnavigation) toaircombat.The NavalStationNorfolk, in storms(extratropicalstorms),willincreasetheriskofstorm- Norfolk, Virginia, was selected as a demonstration site for a surgeinundationinexposedcoastalregions. Onaverage,1.6 risk-assessmentstudytounderstandtheeffectsofRSLRand hurricanesperyearinthelastcenturyhavemadelandfallon coastalstormsonthephysicalinstallationaswellasnearshore the U.S. coastline (Smith, 1999). For the East Coast of the physical processes. The coastal modeling system (CMS) was United States, Hirsch, DeGaetano, and Colucci (2001) devel- applied to calculate the inundation and navigation channel oped a climatology of winter storms based on historical data shoaling for various future RSLR scenarios. Herein, we andestimatedanaverageof12stormsforeachwinterseason. describe the implications of potential RSLR estimates and Sea-levelrisecombinedwithstrongstormswillworsenbeach storm surges on total inundation; a subsequent paper will erosion,increasedamagetocoastalinfrastructure,andcause discussresultsrelatingtosedimenttransportandnavigation majorshorelinechange(McLeanetal.,2001).Itisessentialto channelshoaling. quantify the risk associated with SLR and storm damage to METHODOLOGY DOI: 10.2112/JCOASTRES-D-12-00056.1 received 17 March 2012; acceptedinrevision17June2012. The CMS is an integrated suite of numerical models for PublishedPre-printonline17September2012. (cid:2)CoastalEducation&ResearchFoundation2013 simulatingwater-surfaceelevation,current,waves,sediment Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 2. REPORT TYPE 3. DATES COVERED JAN 2013 N/A - 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level 5b. GRANT NUMBER Rise at Naval Station Norfolk, Norfolk, Virginia, USA 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER Li, Honghai; Lin, Lihwa; Burks-Copes, Kelly A. 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION US Army Engineer Research and Development Center, Coastal and REPORT NUMBER Hydraulics Laboratory, Vicksburg, MS; US Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S) 11. SPONSOR/MONITOR’S REPORT NUMBER(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release, distribution unlimited 13. SUPPLEMENTARY NOTES The original document contains color images. 14. 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. 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF 18. NUMBER 19a. NAME OF ABSTRACT OF PAGES RESPONSIBLE PERSON a. REPORT b. ABSTRACT c. THIS PAGE UU 13 unclassified unclassified unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 ModelingofCoastalInundationatNavalStationNorfolk,Virginia,U.S.A. 19 transport, and morphology change in coastal and inlet applications. It consists of a hydrodynamic and sediment transport model, CMS-Flow, and a spectral wave model, CMS-Wave,andcanbecoupledwithaparticle-trackingmodel. Thecoupledmodelingsystemcalculatestime-dependentwater elevation,currentspeedanddirection,sedimenttransportflux, andbottomandlandsurfaceerosionandaccretion. CMS-Flow is a two-dimensional (2-D) finite-volume model thatsolvesthemassconservationandshallow-watermomen- tumequationsofwatermotiononanonuniformCartesiangrid (Buttolphetal.,2006;Sanchezetal.,2011a,b).Waveradiation stresses and wave parameters are calculated by CMS-Wave andsuppliedtoCMS-Flowfortheflowandsedimenttransport calculations.Water-level,current,andmorphologychangesare providedtoCMS-Waveatuser-specifiedintervals,whichis3 hoursinthisapplication. CMS-Waveisa2-Dspectralwavetransformationmodelthat solves the steady-state wave-action balance equation on a nonuniformCartesiangrid(Linetal.,2008,2011).Themodelis designed to simulate wave processes that are significant in Figure1. TheCMSoperationalflowchart. coastal inlets, inthe nearshorezone,inthe vicinity ofjetties and breakwaters, and in ports and harbors. These processes includewaveshoaling,refraction,diffraction,reflection,wave [NOAA] gauge 8638610) was 4.4 mm/y, which is far greater breaking and dissipation, wave-structure and wave-current than the global trend of 2.4 mm/y (Jevrejeva et al., 2006; interactions, and wave generation and growth mechanisms. NOAA, 2012). Thus, if there is no acceleration in the global Themodelmaybeusedinhalf-planeorfull-planemode,with trend,RSLRatSewellsPointwouldbe0.44min100years.The waves propagating primarily from open boundaries into the RSLRscenariosappliedinthisstudywereintendedtobracket modelingdomain.Withthereflectionoptionemployed,CMS- Wave performs a backward-marching scheme to represent the likely range of future global sea levels, considering the boundaryreflectionaftertheforward-marchingcalculationis possibilityofaccelerationintheglobaltrend. completed. The implementation of wave diffraction in the Twosynthetichurricanes(tropicalstorms)correspondingto wave-action balance equation is described by Mase (2001). 50-year and 100-year return periods and a most probable Additionalmodelfeaturesincludethegridnestingcapability, winter storm (extratropical) that occurred in October 1982 variablerectanglecells,wavetransmission,waveovertopping (Burks-CopesandRusso,2011)weresimulated.Theselection structures,andwavesetup/setdownonabeachslope.Thewave of the hurricanes was based on 460 synthetic hurricanes setup/setdown is computed on the basis of the horizontal designedinaFederalEmergencyManagementAgencystudy momentumequations,neglectingcurrent,surfacewinddrag, fortheVirginiacoast(Blantonetal.2011;Forteetal.2011). andbottomstresses.Forthiscalculation,changeinthemean Thejointprobabilitymethodwithoptimalsamplingwasused waterlevelisrelatedtothetransferofwavemomentumtothe todevelopthe460modelhurricanes(Vickeryetal.2010).The watercolumnduetowavebreaking(DeanandWalton,2009). stormparametersincludecentralatmosphericpressure,radius CMS-Flow and CMS-Wave can be coupled and operated ofmaximumwind,translationspeed,heading,andtheHolland through a steering module available in the surface-water B parameter (Holland 1980). The storm return periods were modeling system (SMS). The framework of CMS is shown in determined primarily by examining water-surface elevations Figure1.Zundel(2006)providesdetailsabouttheSMS. measuredatlocaltidalgaugesandstormsurgesgeneratedby The CMS has been widely applied to open coasts, coastal thesynthetichurricanes. inlets, bays, estuaries, Great Lakes, and Pacific Islands The extratropical storm was selected from 30 historical (Demirbilek et al., 2010; Demirbilek and Rosati, 2011; Li et storms (northeasters)that affected the Norfolkareabetween al., 2009). Some recent applications include Grays Harbor, 1975 and 2008. The October 1982 storm is one of the most Washington; San Francisco Bay and Bight, California; Noyo severestormsthataffectedtheregion,theselectionofwhichis Bay,California;GalvestonBay,Texas;MatagordaBay,Texas; basedonthemaximumwater-surfaceelevationsmeasuredat ChesapeakeBay;SharkRiverInlet,NewJersey;theBigIsland theNOAAtidegaugesatSewellsPointandChesapeakeBay ofHawaii,Hawaii;ClevelandHarborinLakeErie;andRhode Islandcoastandlagoons(CIRP,2012). BridgeTunnelinlowerChesapeakeBay.Generally,thepeak Coupling the flow and wave models and including calcula- surgelevelsproducedbyextratropicalstormsarelower,butthe tions of sediment transport and morphology change, the surgedurationsarelongercomparedwiththosebyhurricanes present study investigatedfiveRSLRscenarios of0(existing (daysvs.hours)(Burks-CopesandRusso,2011). condition), 0.5, 1, 1.5, and 2 m that may occur in the next OnthebasisofthefiveRSLRscenariosandthethreeselected century. From 1927 to 2006, the RSLR at Sewells Point, storms,15simulationswereconducted(Table1),eachfora4- Virginia (National Oceanic and Atmospheric Administration daydurationincludinga12-hourrampingtime. JournalofCoastalResearch,Vol.29,No.1,2013 20 Li,Lin,andBurks-Copes Table1. Simulationsperformed.x’representsa4-daysimulationforthe correspondingscenario. Tropical Tropical RSLR (50-YearReturn) (100-YearReturn) Extratropical (m) Storm Storm (Winter)Storm 0.0 x x x 0.5 x x x 1.0 x x x 1.5 x x x 2.0 x x x DATA A collection of coastline information, topographic and Figure3. Arealdistributionasafunctionofland-surfaceelevation(relative toMSL)inNavalStationNorfolk bathymetric data, and land surface features in the Hampton Roads area was acquired to develop grids for the CMS simulations. The coastline information in the lower Chesa- peake Bay was available from the shoreline database of the includingbuildingheights(negativevalues),tomorethan30m National Geophysical Data Center (2011). The aerial photo- belowMSLinthenavigationchannel(positivevalues).Thered graphs were obtainedfrom Google EarthPro5.1(2011). The color in the lower left corner indicates the Craney Island lightdetectionandranging(LIDAR)Network(USACEArmy Dredged Material Management Area. The dikes built sur- GeospatialCenter,2012)providedthelanddetailtopography rounding the area have a height of about 12 m above MSL. forNavalStationNorfolkat1-mresolutionandwasincludedin Figure 3 shows the areal variations and areal percentage the CMS to describe local land features, such as buildings, proportionaltothetotalareaofNavalStationNorfolk(theblue roads, airport, and other major infrastructure. Topographic linepolygoninFigure2)asafunctionofthevariationsofland andbathymetricinformationinotherlandandwaterareaswas elevation.Thefigureindicatesthat80%oftheNavalStation providedwith10-mresolutionfromthecoastaldigitalelevation hasalandelevationoflessthan5mand70%between1and4 modelofVirginiaBeach(Tayloretal.,2008). m.Thelandcoveragedatareflectdetailedlandfeaturesinthe Figure 2 shows water depth and land surface elevations Naval Station Norfolk. Figure 4 shows different colors relativetomeansealevel(MSL),fromthetwodatasets.The delineating land coverage relating to grass, forest, concrete (pavedroads,parkinglots,andbuildings),piers,anddirtroads. figure displays the deep-draft Hampton Roads navigation On the basis of these data, sediment grain size, erodibility channel running across the northern portion of the domain, characteristics, and bottom friction were specified at each theNorfolkHarborentrancechannelthatrunsnorthtosouth computational cell in the CMS (Table 2). Because the Naval locatedjustwestoftheNavalStation,andafewsmallchannels StationNorfolkanditssurroundingareaarelargelycoveredby tothemilitarypiersontheNavalStationwaterfront.Thedata concrete surfaces and buildings, a large part of land surface rangefromthehighestelevationofmorethan30maboveMSL, wastreatedasnonerodible(hardbottom).Amediangrainsize of 0.2–0.5 mm was specified for the erodible land area Figure2. Topographicmapofthestudyarea.ThebluelineoutlinesNaval StationNorfolk.(Colorforthisfigureisavailableintheonlineversionofthis Figure4. Landcoverage(535m)atNavalStationNorfolk.(Colorforthis paper.) figureisavailableintheonlineversionofthispaper.) JournalofCoastalResearch,Vol.29,No.1,2013 ModelingofCoastalInundationatNavalStationNorfolk,Virginia,U.S.A. 21 Table2. Specificationsoflanderodibilityandsedimentgrainsizeinthe CMSbasedonlandcoveragedata.N/A¼notapplicable. LandCover Erodibility GrainSize(mm) Grass None N/A Forest Limited 0.3 Building None N/A Pavedroad None N/A Dirtroad Limited 0.5 Parkinglot None N/A Pier N/A N/A surroundingNorfolk.AsshowninFigure4,thoseareasinclude thedirtroad,forest,andgrass. MODEL SETTING The regional models, ADvanced CIRCulation (ADCIRC; Melbyetal.,2005)andSimulatingWAveNearshore(SWAN; Figure6. Windspeedanddirectionofthe100-yearreturnstorm. http://www.swan.tudelft.nl),providedwaves,wind,andsurge- level input at the CMS boundary for two synthesized hurricanes with 50-year and 100-year return periods and a directionsfollowmeteorologicalconventionwhereadirectionof winterstorm (northeaster). Figure 5showsthe CMSdomain 08 indicates the wind blowing or wave propagating from the with a small portion of the regional grid displayed in the north. Local wind speed and direction were extracted from background surrounding the Naval Station Norfolk. The ADCIRC simulations for the same storms. The wind plots western open boundary of the CMS is located in the mouths indicatethatthetropicalstormpassingoverthestudyareahas of the James and Elizabeth rivers, the northern and eastern apeakwindspeedof33.2m/s(74.3mi/h).Incidentstormwaves openboundaryareinChesapeakeBay,andthesouthernopen providedbySWANpropagatefromtheAtlanticOceanwitha boundarymainlycrossesthelandsouthofthecityofNorfolk. waveperiodof16.7secondsandapeakwaveheightof4.3m. TheCMSnonuniformrectangulargridhasmorethan500,000 gridcells,whichpermitsfinerresolutionwith10-mspacingin areasofhighinterestsuchasNavalStationNorfolk. Figures6and7showwindandwaveconditionsassociated with the 100-year return storm, respectively, at a location adjacenttotheeasternopenboundary.Boththewindandwave Figure 5. Study area. The rectangle delineates the CMS domain and trianglesindicatetheregionalmodelmesh.Cyclesaretimeseriessitesat Figure7. Waveparametersofthe100-yearreturnstormundertheexisting SewellsPoint,westofthenavalbase(SP),northofthebase(NB),theeastern conditionandfoursea-level-risescenarios.(Colorforthisfigureisavailable openboundary(EB),andonland(LS). intheonlineversionofthispaper.) JournalofCoastalResearch,Vol.29,No.1,2013 22 Li,Lin,andBurks-Copes Figure 8. Surge, 2-m sea-level rise, and tide at NOAA gauge 8638610 (SewellsPoint,Virginia). Astronomicaltidaldatarepresenting4daysofaspringtide atSewellsPoint,Virginia(NOAA,2011)wereincorporatedinto the storm surge provided by ADCIRC for each of the RSLR conditions in the CMS. The superposition of tide and storm Figure 9. Spatially varying Manning’s n under the 2-m sea-level-rise surge provided the water-surface elevation forcing along the scenario. CMSopenboundary.Figure8showsthe2-mRSLRscenario,in which the spring tide increased the maximum water-surface elevationbymorethan0.5mattheforcingboundary. with predominant wave direction from the east and perpen- A long-term increase in RSLR will inundate land and diculartothebaysideboundaryoftheCMSdomain. eventually create or destroy wetland areas along coastal The CMS simulated Hurricane Isabel for the period from regions. To accurately calculate nearshore hydrodynamics, September 15 to 19, 2003. The model performance was the storm-surge models represent these long-term effects of examined by the comparison of the calculated and measured SLR by a change in vegetation types with corresponding adjustmentsinbottomfrictionalroughness(McAlpin,Wams- ley,andCialone,2011).Consistentwiththeregionalsurgeand wave models, the CMS used four sets of bottom roughness (Manning’snvalues)forthefourSLRscenarios.Forexample, forthe2-mRSLRscenario(Figure9),asmallManning’snof 0.02wasspecifiedforopen-waterareasandincreasedto0.15 forvegetationcoverageonland(Chow,1959). CMS-FlowandCMS-Waveweredynamicallycoupledduring the simulation at a 3-hour interval. CMS-Flow calculated current,waterlevel,andmorphologychangeandtransferred thisinformationtoCMS-Wave.CMS-Waveusedthisinforma- tionalongwithincidentwavespectratocalculateandtransfer waveradiationstressesandwaveparameters(height,period, and direction) to CMS-Flow to complete one coupling cycle. This process was repeated for the 4-day duration of each simulatedstorm. VALIDATION WITH HURRICANE ISABEL The CMS capability for nearshore surge calculations was validated with measurements from Hurricane Isabel, a devastating hurricane that affected the Norfolk area in September 2003. Specification of the primary driving forces forHurricaneIsabelissimilartowhatwasdescribedabovefor thesynthesizedstormsandwillnotberepeatedhere.Figure10 showstheinputwater-surfaceelevationandwinddata,with the maximum level at 1.9 m above the MSL and maximum Figure 10. Surge, tide, and wind of Hurricane Isabel at NOAA gauge wind speed of approximately 29.0 m/s. Figure 11 shows the 8638610(SewellsPoint,Virginia). inputwaveconditionswithamaximumwaveheightof3.5m JournalofCoastalResearch,Vol.29,No.1,2013 ModelingofCoastalInundationatNavalStationNorfolk,Virginia,U.S.A. 23 Figure13. Themaximumwater-surfaceelevationduetoHurricaneIsabel. (Colorforthisfigureisavailableintheonlineversionofthispaper.) Figure11. WaveparametersofHurricaneIsabel. processshowsthatthecoastaleffectsonthechangesinsurge amplitude and phase from deep to shallow waters are well representedintheCMS. Figure 13 shows the spatial distribution of the maximum water-surfaceelevationatSewellsPoint,Virginiaasshownin water-surfaceelevations.Thesimulationresultsindicatethat Figure 12. The correlation coefficient between the CMS- about6%ofthelandareaaroundthemilitaryinstallationswas calculated water levels and the measured data is 0.990. The inundated from Hurricane Isabel. The flooded areas are root mean square error (RMSE) and the relative RMSE generally flat and have a ground elevation of less than 2 m (RMSE/datarange)are0.076mand3.6%,respectively. aboveMSL.Becausewavesbreakinshallowwater,theCMS- Comparingthesynthesizedwater-surfaceelevationspecified calculatedsignificantwaveheightsatthefloodedareahavea at the CMS open-boundary in Figure 10 with the calculated smallaveragedvalueof0.08m.Additionalfloodedareasdueto results in Figure 12, it can be seen that the storm surge waveeffectscanbeestimatedbythepeaksurgelevelof2mand propagates from the bayside as indicated by the phase therelationshipbetweenthechangeinlandelevationchange differencebetweensurgelevelsatthecoastalandtheboundary and flooded area percentage (Figure 3). To investigate this locations.Asthesurgewavesapproachthenearshoreshallow effect, water levels were increased by 0.04 m, half of the area,thewater-surfaceelevationatSewellsPointhasa0.1-m averagedsignificantwaveheight,whichresultedinanincrease amplitude increase and a 1-hour phase lag. The validation in the corresponding area changes of 1.0% of the total area. Therefore,a relativelylargeresponsetooverlandinundation shouldbeexpectedifwaveeffectsareconsideredbesidessurge, tide,andwind. ThemostseverelandinundationintheHamptonRoadsarea wascausedbytherainfall-ledflashfloodingandriverflooding during Hurricane Isabel (http://en.wikipedia.org/wiki). The post-Isabel flooding damage at Naval Station Norfolk was describedandthreeinundatedareasbythestormsurgewere identified by Angela Schedel and Eugene Lambert (personal communication, June 5, 2012).As shown in Figure 14,those areasincludeaparkinglot(PKL),theNavalBaseGolfCourse, and an area adjacent to Mason Creek, all located in the northern side of the base. No flooding map is available for HurricaneIsabel,whichpresentsdifficultiesforaquantitative Figure 12. Water-surfaceelevationcomparisonbetweenthecalculations comparison between the model results and the survey data. andmeasurementsofHurricaneIsabelatSewellsPoint,Virginia. However, the three flooded spots correspond well to the JournalofCoastalResearch,Vol.29,No.1,2013 24 Li,Lin,andBurks-Copes Figure14. Thepost-IsabelfloodedlocationsatNavalStationNorfolk.(Colorforthisfigureisavailableintheonlineversionofthispaper.) calculatedfloodingcoveragebasedonthemaximumsurgelevel surge levels are generally higher. The difference in surge (Figure13). betweensitesSP,NB,andEBcanbeaslargeas0.4m,which clearly displays the nearshore water pileup as tidal waves RESULTS OF SYNTHETIC STORMS propagate from open water to the harbor area. A different inundationpictureisshownatsiteLS.Normaltidalconditions TheCMSsimulatedtheexistingcondition(0mRSLR)and wouldnotfloodtheinstallationareaadjacenttothislocation four other RSLR scenarios (0.5, 1, 1.5, and 2 m) for Naval fortheexistingcondition,the0.5-m,and1-mSLRcases,but Station Norfolk with three selected storms, the 50-year and wouldforthe1.5-mandthe2-mSLRcases.Thestormsurge 100-year-return tropical storms and an extratropical storm. wouldraisethepeakwaterlevelto3.643mundertheexisting Thestorm-inducedinundationwasinvestigatedandevaluated conditionandto5.430munderthe2.0-mSLRscenario. bysurge,waves,andwindeffects. Table3presentsalistofareasinundatedbecauseofthe50- yearand100-yeartropicalstormsandtheextratropicalstorm, Storm Surge with different SLR scenarios for Naval Station Norfolk. The Surge level is analyzed as an important indicator of land results show that the flooded area expands as the RSLR inundation under the existing condition and four RSLR increasesfrom0to2.0m.Amongthethreesimulatedstorms, scenariosforthreeselectedstorms.Figures15(a)and(b)show the 100-year storm inundates more than 60% of the area for the maximum water-surface elevations under the existing differentRSLRscenarios.Allthreestormscauseinundationof conditionandthe2-mRSLRscenarioforthe100-yearreturn approximately60–80%ofNavalStationNorfolkunderthe2-m storm, respectively. Because Naval Station Norfolk has land RSLRscenario. surface elevations generally less than 4 m above MSL, most TheCMSresultsshowedthatHurricaneIsabeldidnotcause areas could be under the maximum surge level for the severeflooddamageinNavalStationNorfolk.Incomparison, simulatedstorm.ThegreaterlandelevationseastoftheNaval thepeaksurgelevelofthe100-yearstormisnearlytwicethat Station,CraneyIslandtothewest,andsometallbuildingsstay ofHurricaneIsabelunderthepresentMSL(2.0mvs.3.6m). abovethemaximumsurgelevelunderthe2-mRSLRscenario. This significantly higher peak water level could result in Calculatedwater-surface elevations were examined at four floodingmorethan60%ofNavalStationNorfolk.Comparing locations:sitesEB,SP,NB,andLS(Figure5),locatedatthe Hurricane Isabel with the three synthesized storms, the 50- easternboundary,SewellsPoint,northoftheBase,andaland yearreturnstormcausesasimilarlandinundationwithinthe site,respectively.Figure16showsthecalculatedwater-surface NavalStation. elevationsatthefoursitesfortheexistingconditionandfour SLRscenarioswiththe100-yearstorm.SiteLSislocatedon NavalStationNorfolkandhasalandelevationof2.0mabove Waves the present MSL. Therefore regular tidal conditions cannot AlongtheCMSgridopenboundaries,largesignificantwave floodthesiteunderthe0.0,0.5,and1.0mSLRscenarios.The heightspropagateintothemodeldomain,decrease,andbreak wettinganddryingprocessatthelocationisdisplayedbythe aswavesapproachnearshoretowardtheharborand overtop discontinuityofthewater-surfaceelevationsinFigure16. thelowlandarea.Figures17(a)and(b)showthemaximum TidalandsurgesignalsatsitesSPandNBcoincidewithtidal significantwaveheightsundertheexistingconditionandthe2- forcing implemented at the model open boundaries, but the m RSLR scenario at the peak of the 100-year return storm, JournalofCoastalResearch,Vol.29,No.1,2013 ModelingofCoastalInundationatNavalStationNorfolk,Virginia,U.S.A. 25 Figure16. Water-surfaceelevationofthe100-yearreturntropicalstorm undertheexistingcondition(0m)andthefoursea-level-risescenariosat sitesEB,SP,NB,andLS.(Colorforthisfigureisavailableintheonline versionofthispaper.) oppositewind-andtide-inducedcurrentsalongthenavigation channels during the storm passage, and the strong wave- current interaction seems to induce the large waves at this location. Figure18showsthetimeseriesofsignificantwaveheight, wave period, and wave direction at sites SP and NB. The calculatedwaveparametersdisplayedatEBaresimilartothe wavesspecifiedattheopenboundary(Figure6).Waveshave dissipated and diffracted as they approach Hampton Roads along the coast. The coastal effects on wave propagation are evident from calculated wave results at site SP. Dominant wavedirectionsarefromthewestundertheexistingcondition, 0.5-m,and1.0-mRSLRscenariosorfromthenorthunderthe 1.5-mand2-mRSLRscenariosatsiteSP.Smallshort-period Figure15. Themaximumwater-surfaceelevationdueto100-yearreturn wind waves are mostly propagating from the west and long- tropical storm under (a) the existing condition and (b) the 2-m RSLR period swells reach the site from the north. Figure 18 also scenario.(Colorforthisfigureisavailableintheonlineversionofthispaper.) showsthatwavesfromthenortheasthaveadirectimpacton site NB. The wave heights at the two sites indicate that the floodedlandareasrelatedtowaveactivitiescouldbesmalland respectively. Wave heights over the flooded area at Naval negligible. StationNorfolkareconsistentduringthemaximumsurgeand Estimates of the inundated areas in Table 3 are based on generallyhaveamplitudeofafewcentimeters.Relativelylarge surge-andtide-inducedwaterlevel.Toaccountforwaveeffects wave heights (greater than 1.0 m) can be identified in the inthecalculations,one-halfofthesignificantwaveheightsare figure,asseenclosetothebaysidefrontoftheNavalBasefor added to obtain the maximum water mark associated with different SLR scenarios. North of the CMS domain the wave storms.Thewave-modifiedwaterlevelwillresultinchangesin heightcanreach6.0munderthe2-mSLRscenario.Thetime flooded areas at Naval Station Norfolk. The maximum seriesofforcingconditionsandmodeloutputrevealthatwaves significantwaveheightswithinNavalStationNorfolk(Figure propagatingfrom the Chesapeake Bay side encounter strong 2)wereaveragedandtheresultsareshowninTable4forthree JournalofCoastalResearch,Vol.29,No.1,2013

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