A Parcel-Scale Coastal Flood Forecasting Prototype for a Southern California Urbanized Embayment
Stanley, J.-D. and Corwin, K.A., 2013. Measuring strata thicknesses in cores to assess recent sediment compaction and subsidence of Egypt's Nile Delta coastal margin. Coastal flood risk in California is concentrated around urbanized embayments that are protected by infrastructure, such as levee...
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description | Stanley, J.-D. and Corwin, K.A., 2013. Measuring strata thicknesses in cores to assess recent sediment compaction and subsidence of Egypt's Nile Delta coastal margin. Coastal flood risk in California is concentrated around urbanized embayments that are protected by infrastructure, such as levees, pumps, and flood walls, which pose a challenge to accurate flood prediction. A capability to predict coastal urban flooding at the parcel-scale (individual home or street) from high ocean levels (extreme high tides) is shown here by coupling a regional ocean forecasting system to an embayment-scale hydrodynamic model that incorporates detailed information about flood defenses. A unique flooding data set affords the rare opportunity to validate model predictions and allows us to identify model data that are essential for accurate forecasting. In particular, results show that flood defense height data are critical, and here, that information is supplied by a Real Time Kinematic Global Positioning System (RTK-GPS) survey, which yields ca. 1-cm, vertical root mean-squared error accuracy. Bathymetry surveys and aerial Light Detection and Ranging (LIDAR) data characterizing the embayment also prove essential. Moreover, hydrodynamic modeling of flood inundation is shown to significantly improve on planar surface models, which overestimate inundation, particularly when manipulated to account for run-up in a simplistic way. This is attributed to the transient nature of overtopping flows and motivates the need for dynamic, spatially-distributed overtopping models that are tailored to the urban environment. |
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Measuring strata thicknesses in cores to assess recent sediment compaction and subsidence of Egypt's Nile Delta coastal margin. Coastal flood risk in California is concentrated around urbanized embayments that are protected by infrastructure, such as levees, pumps, and flood walls, which pose a challenge to accurate flood prediction. A capability to predict coastal urban flooding at the parcel-scale (individual home or street) from high ocean levels (extreme high tides) is shown here by coupling a regional ocean forecasting system to an embayment-scale hydrodynamic model that incorporates detailed information about flood defenses. A unique flooding data set affords the rare opportunity to validate model predictions and allows us to identify model data that are essential for accurate forecasting. In particular, results show that flood defense height data are critical, and here, that information is supplied by a Real Time Kinematic Global Positioning System (RTK-GPS) survey, which yields ca. 1-cm, vertical root mean-squared error accuracy. Bathymetry surveys and aerial Light Detection and Ranging (LIDAR) data characterizing the embayment also prove essential. Moreover, hydrodynamic modeling of flood inundation is shown to significantly improve on planar surface models, which overestimate inundation, particularly when manipulated to account for run-up in a simplistic way. This is attributed to the transient nature of overtopping flows and motivates the need for dynamic, spatially-distributed overtopping models that are tailored to the urban environment.</description><identifier>ISSN: 0749-0208</identifier><identifier>EISSN: 1551-5036</identifier><identifier>DOI: 10.2112/JCOASTRES-D-12-00114.1</identifier><language>eng</language><publisher>Fort Lauderdale: The Coastal Education and Research Foundation</publisher><subject>Bathymetry ; Climate change ; Coastal ; coastal hazard ; CoSMoS ; Deltas ; DEM ; DTM ; Environmental risk ; Flood forecasting ; Flood predictions ; Flood protection ; flood risk ; Floods ; Freshwater ; Global positioning systems ; Global warming ; GPS ; Hydrodynamics ; Inundation ; Levees ; Lidar ; Modeling ; multiscale model ; Ocean tides ; Prototypes ; regional model ; RESEARCH PAPERS ; Sea level ; Sea level rise ; Sea water ; Sediments ; Southern California ; storm surge ; Storms ; Strata ; Stream flow ; Subsidence ; Topographical elevation ; urban coastal flooding ; Urban environments ; validation ; Waves</subject><ispartof>Journal of coastal research, 2013-05, Vol.29 (3), p.642-656</ispartof><rights>2013 The Coastal Education & Research Foundation [CERF]</rights><rights>Copyright Allen Press Publishing Services May 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b469t-c9c60734c3a65992cdfef51483dfa237fc6fa8f68456dad64a0dd29abb14f56a3</citedby><cites>FETCH-LOGICAL-b469t-c9c60734c3a65992cdfef51483dfa237fc6fa8f68456dad64a0dd29abb14f56a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/23486347$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/23486347$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Gallien, Timu W.</creatorcontrib><creatorcontrib>Barnard, Patrick L.</creatorcontrib><creatorcontrib>van Ormondt, Maarten</creatorcontrib><creatorcontrib>Foxgrover, Amy C.</creatorcontrib><creatorcontrib>Sanders, Brett F.</creatorcontrib><title>A Parcel-Scale Coastal Flood Forecasting Prototype for a Southern California Urbanized Embayment</title><title>Journal of coastal research</title><description>Stanley, J.-D. and Corwin, K.A., 2013. Measuring strata thicknesses in cores to assess recent sediment compaction and subsidence of Egypt's Nile Delta coastal margin. Coastal flood risk in California is concentrated around urbanized embayments that are protected by infrastructure, such as levees, pumps, and flood walls, which pose a challenge to accurate flood prediction. A capability to predict coastal urban flooding at the parcel-scale (individual home or street) from high ocean levels (extreme high tides) is shown here by coupling a regional ocean forecasting system to an embayment-scale hydrodynamic model that incorporates detailed information about flood defenses. A unique flooding data set affords the rare opportunity to validate model predictions and allows us to identify model data that are essential for accurate forecasting. In particular, results show that flood defense height data are critical, and here, that information is supplied by a Real Time Kinematic Global Positioning System (RTK-GPS) survey, which yields ca. 1-cm, vertical root mean-squared error accuracy. Bathymetry surveys and aerial Light Detection and Ranging (LIDAR) data characterizing the embayment also prove essential. Moreover, hydrodynamic modeling of flood inundation is shown to significantly improve on planar surface models, which overestimate inundation, particularly when manipulated to account for run-up in a simplistic way. This is attributed to the transient nature of overtopping flows and motivates the need for dynamic, spatially-distributed overtopping models that are tailored to the urban environment.</description><subject>Bathymetry</subject><subject>Climate change</subject><subject>Coastal</subject><subject>coastal hazard</subject><subject>CoSMoS</subject><subject>Deltas</subject><subject>DEM</subject><subject>DTM</subject><subject>Environmental risk</subject><subject>Flood forecasting</subject><subject>Flood predictions</subject><subject>Flood protection</subject><subject>flood risk</subject><subject>Floods</subject><subject>Freshwater</subject><subject>Global positioning systems</subject><subject>Global warming</subject><subject>GPS</subject><subject>Hydrodynamics</subject><subject>Inundation</subject><subject>Levees</subject><subject>Lidar</subject><subject>Modeling</subject><subject>multiscale model</subject><subject>Ocean tides</subject><subject>Prototypes</subject><subject>regional model</subject><subject>RESEARCH PAPERS</subject><subject>Sea level</subject><subject>Sea level rise</subject><subject>Sea water</subject><subject>Sediments</subject><subject>Southern California</subject><subject>storm surge</subject><subject>Storms</subject><subject>Strata</subject><subject>Stream flow</subject><subject>Subsidence</subject><subject>Topographical elevation</subject><subject>urban coastal flooding</subject><subject>Urban environments</subject><subject>validation</subject><subject>Waves</subject><issn>0749-0208</issn><issn>1551-5036</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNkU1P4zAQhi3ESpTCT1hkiQsXF3_FTo5VaFkQEmjbnsPEsSFVGhc7PXR_Pd4t4sCFPY1m5pnXnnkRumB0whnj1_fl43Sx_D1bkBvCOKGUMTlhR2jEsoyRjAp1jEZUy4JQTvMTdBrjOkEql3qEnqf4CYKxHVkY6CwuPcQBOjzvvG_w3AdrUqHtX_BT8IMf9luLnQ8Y8MLvhlcbelxC16ZS3wJehRr69o9t8GxTw35j--EM_XDQRXv-EcdoNZ8ty1_k4fH2rpw-kFqqYiCmMIpqIY0AlRUFN42zLmMyF40DLrQzykHu0qcz1UCjJNCm4QXUNZMuUyDG6Oqguw3-bWfjUG3amPbqoLd-Fyumc8UKrtM9vkWF0jIv0lMJvfyCrv0u9GmRROl0zjyjPFHqQJngYwzWVdvQbiDsK0arvx5Vnx5VN1VK_3mUFMbo52FwHQcfPqe4kLkSUqe-PPTr1vve_q_sO2_0n3o</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Gallien, Timu W.</creator><creator>Barnard, Patrick L.</creator><creator>van Ormondt, Maarten</creator><creator>Foxgrover, Amy C.</creator><creator>Sanders, Brett 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Parcel-Scale Coastal Flood Forecasting Prototype for a Southern California Urbanized Embayment</title><author>Gallien, Timu W. ; Barnard, Patrick L. ; van Ormondt, Maarten ; Foxgrover, Amy C. ; Sanders, Brett F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b469t-c9c60734c3a65992cdfef51483dfa237fc6fa8f68456dad64a0dd29abb14f56a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Bathymetry</topic><topic>Climate change</topic><topic>Coastal</topic><topic>coastal hazard</topic><topic>CoSMoS</topic><topic>Deltas</topic><topic>DEM</topic><topic>DTM</topic><topic>Environmental risk</topic><topic>Flood forecasting</topic><topic>Flood predictions</topic><topic>Flood protection</topic><topic>flood risk</topic><topic>Floods</topic><topic>Freshwater</topic><topic>Global positioning systems</topic><topic>Global 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Abstracts - Academic</collection><jtitle>Journal of coastal research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gallien, Timu W.</au><au>Barnard, Patrick L.</au><au>van Ormondt, Maarten</au><au>Foxgrover, Amy C.</au><au>Sanders, Brett F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Parcel-Scale Coastal Flood Forecasting Prototype for a Southern California Urbanized Embayment</atitle><jtitle>Journal of coastal research</jtitle><date>2013-05-01</date><risdate>2013</risdate><volume>29</volume><issue>3</issue><spage>642</spage><epage>656</epage><pages>642-656</pages><issn>0749-0208</issn><eissn>1551-5036</eissn><abstract>Stanley, J.-D. and Corwin, K.A., 2013. Measuring strata thicknesses in cores to assess recent sediment compaction and subsidence of Egypt's Nile Delta coastal margin. Coastal flood risk in California is concentrated around urbanized embayments that are protected by infrastructure, such as levees, pumps, and flood walls, which pose a challenge to accurate flood prediction. A capability to predict coastal urban flooding at the parcel-scale (individual home or street) from high ocean levels (extreme high tides) is shown here by coupling a regional ocean forecasting system to an embayment-scale hydrodynamic model that incorporates detailed information about flood defenses. A unique flooding data set affords the rare opportunity to validate model predictions and allows us to identify model data that are essential for accurate forecasting. In particular, results show that flood defense height data are critical, and here, that information is supplied by a Real Time Kinematic Global Positioning System (RTK-GPS) survey, which yields ca. 1-cm, vertical root mean-squared error accuracy. Bathymetry surveys and aerial Light Detection and Ranging (LIDAR) data characterizing the embayment also prove essential. Moreover, hydrodynamic modeling of flood inundation is shown to significantly improve on planar surface models, which overestimate inundation, particularly when manipulated to account for run-up in a simplistic way. This is attributed to the transient nature of overtopping flows and motivates the need for dynamic, spatially-distributed overtopping models that are tailored to the urban environment.</abstract><cop>Fort Lauderdale</cop><pub>The Coastal Education and Research Foundation</pub><doi>10.2112/JCOASTRES-D-12-00114.1</doi><tpages>15</tpages></addata></record> |
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subjects | Bathymetry Climate change Coastal coastal hazard CoSMoS Deltas DEM DTM Environmental risk Flood forecasting Flood predictions Flood protection flood risk Floods Freshwater Global positioning systems Global warming GPS Hydrodynamics Inundation Levees Lidar Modeling multiscale model Ocean tides Prototypes regional model RESEARCH PAPERS Sea level Sea level rise Sea water Sediments Southern California storm surge Storms Strata Stream flow Subsidence Topographical elevation urban coastal flooding Urban environments validation Waves |
title | A Parcel-Scale Coastal Flood Forecasting Prototype for a Southern California Urbanized Embayment |
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