Evaluation of the potential of friction surface analysis in modelling hurricane wind damage in an urban environment
This research considered the use of friction surface analysis as a means of modelling the vulnerability of an urban topography to hurricane wind effects (wind speed force and windborne debris). Isotropic and anisotropic surfaces of Miami, Florida, USA, were derived from tax building age, and LIDAR b...
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description | This research considered the use of friction surface analysis as a means of modelling the vulnerability of an urban topography to hurricane wind effects (wind speed force and windborne debris). Isotropic and anisotropic surfaces of Miami, Florida, USA, were derived from tax building age, and LIDAR building height data, to act as a test area for the methodology. The isotropic surface modelled the key vulnerabilities of individual buildings within the study area, whilst the anisotropic surface considered the varying effects due to wind directionality. The results from the model indicate the logical effect of most damage occurring on surfaces that directly face the oncoming wind, and this is only minimised on those surfaces that are sheltered by larger buildings. This directionality effect on results is validated by damage records for actual hurricane events that are recorded in the literature, as well as the patterns observed on Central Miami landmarks after Hurricane Wilma in 2005. These results represent a simplistic GIS approximation of the phenomena in a specific urban environment, which do not take into account more complex factors linked to urban ‘roughness’ and turbulence effects. To model these complexities would require a multidisciplinary approach involving meteorologists and engineers. This research, however, indicates that the vulnerability surface produced by the friction surface analysis has potential as a tool to assess hurricane impact in a selected area which could be of use in implementing mitigation initiatives, disaster recovery planning and assessing financial loss. This represents a deterministic approach, but calibration of the results against building exceedance probability damage curves suggests that this methodology could be correlated with stochastic catastrophe model methodologies. The deterministic nature of the methodology means that it can be used at any location, but the derived friction layers must be carefully considered on a locality-by-locality basis. |
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Isotropic and anisotropic surfaces of Miami, Florida, USA, were derived from tax building age, and LIDAR building height data, to act as a test area for the methodology. The isotropic surface modelled the key vulnerabilities of individual buildings within the study area, whilst the anisotropic surface considered the varying effects due to wind directionality. The results from the model indicate the logical effect of most damage occurring on surfaces that directly face the oncoming wind, and this is only minimised on those surfaces that are sheltered by larger buildings. This directionality effect on results is validated by damage records for actual hurricane events that are recorded in the literature, as well as the patterns observed on Central Miami landmarks after Hurricane Wilma in 2005. These results represent a simplistic GIS approximation of the phenomena in a specific urban environment, which do not take into account more complex factors linked to urban ‘roughness’ and turbulence effects. To model these complexities would require a multidisciplinary approach involving meteorologists and engineers. This research, however, indicates that the vulnerability surface produced by the friction surface analysis has potential as a tool to assess hurricane impact in a selected area which could be of use in implementing mitigation initiatives, disaster recovery planning and assessing financial loss. This represents a deterministic approach, but calibration of the results against building exceedance probability damage curves suggests that this methodology could be correlated with stochastic catastrophe model methodologies. 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Isotropic and anisotropic surfaces of Miami, Florida, USA, were derived from tax building age, and LIDAR building height data, to act as a test area for the methodology. The isotropic surface modelled the key vulnerabilities of individual buildings within the study area, whilst the anisotropic surface considered the varying effects due to wind directionality. The results from the model indicate the logical effect of most damage occurring on surfaces that directly face the oncoming wind, and this is only minimised on those surfaces that are sheltered by larger buildings. This directionality effect on results is validated by damage records for actual hurricane events that are recorded in the literature, as well as the patterns observed on Central Miami landmarks after Hurricane Wilma in 2005. These results represent a simplistic GIS approximation of the phenomena in a specific urban environment, which do not take into account more complex factors linked to urban ‘roughness’ and turbulence effects. To model these complexities would require a multidisciplinary approach involving meteorologists and engineers. This research, however, indicates that the vulnerability surface produced by the friction surface analysis has potential as a tool to assess hurricane impact in a selected area which could be of use in implementing mitigation initiatives, disaster recovery planning and assessing financial loss. This represents a deterministic approach, but calibration of the results against building exceedance probability damage curves suggests that this methodology could be correlated with stochastic catastrophe model methodologies. The deterministic nature of the methodology means that it can be used at any location, but the derived friction layers must be carefully considered on a locality-by-locality basis.</description><subject>Anisotropy</subject><subject>Buildings</subject><subject>Civil Engineering</subject><subject>Construction</subject><subject>Damage</subject><subject>Disaster management</subject><subject>Disaster recovery</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Emergency preparedness</subject><subject>Environmental Management</subject><subject>Friction</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hurricanes</subject><subject>Hydrogeology</subject><subject>Lidar</subject><subject>Methodology</subject><subject>Modelling</subject><subject>Natural Hazards</subject><subject>Original Paper</subject><subject>Stochastic models</subject><subject>Taxation</subject><subject>Urban areas</subject><subject>Urban environments</subject><subject>Wind</subject><subject>Wind speed</subject><issn>0921-030X</issn><issn>1573-0840</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkU9LxDAQxYMouK5-AG8BL16qM03bNEcR_4HgRcFbSJt0jbTJmrTKfntT14MIgpcZmPm9xzCPkGOEMwTg5xERKpEBFhmWOc_YDllgyVkGdQG7ZAEixwwYPO-TgxhfARCrXCxIvHpX_aRG6x31HR1fDF370bjRqn4edMG2X8s4hU61hiqn-k20kVpHB69N31u3oi9TSKByhn5Yp6lWg1qZGVGOTqFJ1bh3G7wbkvUh2etUH83Rd1-Sp-urx8vb7P7h5u7y4j5rizIfM4aYKywZR2Y6xo0osWI1NqYpFEcoda01axolDIhGF1oDZ6YUGqFDLmrNluR067sO_m0ycZSDjW26ON3ppyix4lywmkHxH5QxkVc1S-jJL_TVTyF9ZabKGirMq5nCLdUGH2MwnVwHO6iwkQhyTkxuE5MpMTknJmdNvtXExLqVCT-c_xR9AoGdmR4</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Knight, Robin I.</creator><creator>Khalid, Fakhar</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20150301</creationdate><title>Evaluation of the potential of friction surface analysis in modelling hurricane wind damage in an urban environment</title><author>Knight, Robin I. ; Khalid, Fakhar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-3112a153713ef37e9516381beb4a7105d8dd3bba9e09bd4dd073e59d10f1798d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Anisotropy</topic><topic>Buildings</topic><topic>Civil Engineering</topic><topic>Construction</topic><topic>Damage</topic><topic>Disaster management</topic><topic>Disaster recovery</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Emergency preparedness</topic><topic>Environmental Management</topic><topic>Friction</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hurricanes</topic><topic>Hydrogeology</topic><topic>Lidar</topic><topic>Methodology</topic><topic>Modelling</topic><topic>Natural Hazards</topic><topic>Original Paper</topic><topic>Stochastic models</topic><topic>Taxation</topic><topic>Urban areas</topic><topic>Urban environments</topic><topic>Wind</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Knight, Robin I.</creatorcontrib><creatorcontrib>Khalid, Fakhar</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Natural hazards (Dordrecht)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Knight, Robin I.</au><au>Khalid, Fakhar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of the potential of friction surface analysis in modelling hurricane wind damage in an urban environment</atitle><jtitle>Natural hazards (Dordrecht)</jtitle><stitle>Nat Hazards</stitle><date>2015-03-01</date><risdate>2015</risdate><volume>76</volume><issue>2</issue><spage>891</spage><epage>911</epage><pages>891-911</pages><issn>0921-030X</issn><eissn>1573-0840</eissn><abstract>This research considered the use of friction surface analysis as a means of modelling the vulnerability of an urban topography to hurricane wind effects (wind speed force and windborne debris). Isotropic and anisotropic surfaces of Miami, Florida, USA, were derived from tax building age, and LIDAR building height data, to act as a test area for the methodology. The isotropic surface modelled the key vulnerabilities of individual buildings within the study area, whilst the anisotropic surface considered the varying effects due to wind directionality. The results from the model indicate the logical effect of most damage occurring on surfaces that directly face the oncoming wind, and this is only minimised on those surfaces that are sheltered by larger buildings. This directionality effect on results is validated by damage records for actual hurricane events that are recorded in the literature, as well as the patterns observed on Central Miami landmarks after Hurricane Wilma in 2005. These results represent a simplistic GIS approximation of the phenomena in a specific urban environment, which do not take into account more complex factors linked to urban ‘roughness’ and turbulence effects. To model these complexities would require a multidisciplinary approach involving meteorologists and engineers. This research, however, indicates that the vulnerability surface produced by the friction surface analysis has potential as a tool to assess hurricane impact in a selected area which could be of use in implementing mitigation initiatives, disaster recovery planning and assessing financial loss. This represents a deterministic approach, but calibration of the results against building exceedance probability damage curves suggests that this methodology could be correlated with stochastic catastrophe model methodologies. The deterministic nature of the methodology means that it can be used at any location, but the derived friction layers must be carefully considered on a locality-by-locality basis.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11069-014-1527-3</doi><tpages>21</tpages></addata></record> |
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subjects | Anisotropy Buildings Civil Engineering Construction Damage Disaster management Disaster recovery Earth and Environmental Science Earth Sciences Emergency preparedness Environmental Management Friction Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hurricanes Hydrogeology Lidar Methodology Modelling Natural Hazards Original Paper Stochastic models Taxation Urban areas Urban environments Wind Wind speed |
title | Evaluation of the potential of friction surface analysis in modelling hurricane wind damage in an urban environment |
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