Development of a screening method to assess flood risk on danish national roads and highway systems
A method to assess flood risk on Danish national roads in a large area in the middle and southern part of Jutland, Denmark, was developed for the Danish Road Directorate. Flood risk has gained renewed focus due to the climate changes in recent years and extreme rain events are expected to become mor...
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description | A method to assess flood risk on Danish national roads in a large area in the middle and southern part of Jutland, Denmark, was developed for the Danish Road Directorate. Flood risk has gained renewed focus due to the climate changes in recent years and extreme rain events are expected to become more frequent in the future. The assessment was primarily based on a digital terrain model (DTM) covering 7,500 km2 in a 1.6 x 1.6 m grid. The high-resolution terrain model was chosen in order to get an accurate estimation of the potential flooding in the road area and in the immediate vicinity, but also put a high requirement on the methods, hardware and software applied. The outcome of the analysis was detailed maps (as GIS layers) illustrating the location of depressions with depths, surface area and volume data for each depression. Furthermore, preferential flow paths, catchment boundaries and ranking of each depression were calculated. The ranking was based on volume of depressions compared with upstream catchment and a sensitivity analysis of the runoff coefficient. Finally, a method for assessing flood risk at a more advanced level (hydrodynamic simulation of surface and drainage) was developed and used on a specific blue spot as an example. The case study shows that upstream catchment, depressions, drainage system, and use of hydrodynamic calculations have a great influence on the result. Upstream catchments can contribute greatly to the flooding. |
doi_str_mv | 10.2166/wst.2011.157 |
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Flood risk has gained renewed focus due to the climate changes in recent years and extreme rain events are expected to become more frequent in the future. The assessment was primarily based on a digital terrain model (DTM) covering 7,500 km2 in a 1.6 x 1.6 m grid. The high-resolution terrain model was chosen in order to get an accurate estimation of the potential flooding in the road area and in the immediate vicinity, but also put a high requirement on the methods, hardware and software applied. The outcome of the analysis was detailed maps (as GIS layers) illustrating the location of depressions with depths, surface area and volume data for each depression. Furthermore, preferential flow paths, catchment boundaries and ranking of each depression were calculated. The ranking was based on volume of depressions compared with upstream catchment and a sensitivity analysis of the runoff coefficient. Finally, a method for assessing flood risk at a more advanced level (hydrodynamic simulation of surface and drainage) was developed and used on a specific blue spot as an example. The case study shows that upstream catchment, depressions, drainage system, and use of hydrodynamic calculations have a great influence on the result. Upstream catchments can contribute greatly to the flooding.</description><identifier>ISSN: 0273-1223</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.2166/wst.2011.157</identifier><identifier>PMID: 22049725</identifier><language>eng</language><publisher>England: IWA Publishing</publisher><subject>Case studies ; Catchment area ; Catchments ; Climate Change ; Computer simulation ; Denmark ; Disaster Planning - methods ; Disaster Planning - organization & administration ; Drainage systems ; Environmental risk ; Extreme weather ; Flood control ; Flood insurance ; Flooding ; Floods ; Flow paths ; Geographic Information Systems ; Geographical information systems ; Hydrodynamics ; Mathematical models ; Methods ; Models, Theoretical ; Preferential flow ; Rain ; Ranking ; Risk Assessment ; Roads ; Runoff ; Runoff coefficient ; Sensitivity analysis ; Terrain ; Upstream ; Urbanization</subject><ispartof>Water science and technology, 2011-01, Vol.63 (12), p.2957-2966</ispartof><rights>Copyright IWA Publishing Jun 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-e798d61da6519760a7e55b671dbd6dc293544b9a1923a594dcd2d8c6442a68b83</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22049725$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nielsen, N H</creatorcontrib><creatorcontrib>Larsen, M R A</creatorcontrib><creatorcontrib>Rasmussen, S F</creatorcontrib><title>Development of a screening method to assess flood risk on danish national roads and highway systems</title><title>Water science and technology</title><addtitle>Water Sci Technol</addtitle><description>A method to assess flood risk on Danish national roads in a large area in the middle and southern part of Jutland, Denmark, was developed for the Danish Road Directorate. Flood risk has gained renewed focus due to the climate changes in recent years and extreme rain events are expected to become more frequent in the future. The assessment was primarily based on a digital terrain model (DTM) covering 7,500 km2 in a 1.6 x 1.6 m grid. The high-resolution terrain model was chosen in order to get an accurate estimation of the potential flooding in the road area and in the immediate vicinity, but also put a high requirement on the methods, hardware and software applied. The outcome of the analysis was detailed maps (as GIS layers) illustrating the location of depressions with depths, surface area and volume data for each depression. Furthermore, preferential flow paths, catchment boundaries and ranking of each depression were calculated. The ranking was based on volume of depressions compared with upstream catchment and a sensitivity analysis of the runoff coefficient. 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Upstream catchments can contribute greatly to the flooding.</description><subject>Case studies</subject><subject>Catchment area</subject><subject>Catchments</subject><subject>Climate Change</subject><subject>Computer simulation</subject><subject>Denmark</subject><subject>Disaster Planning - methods</subject><subject>Disaster Planning - organization & administration</subject><subject>Drainage systems</subject><subject>Environmental risk</subject><subject>Extreme weather</subject><subject>Flood control</subject><subject>Flood insurance</subject><subject>Flooding</subject><subject>Floods</subject><subject>Flow paths</subject><subject>Geographic Information Systems</subject><subject>Geographical information systems</subject><subject>Hydrodynamics</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Models, Theoretical</subject><subject>Preferential flow</subject><subject>Rain</subject><subject>Ranking</subject><subject>Risk Assessment</subject><subject>Roads</subject><subject>Runoff</subject><subject>Runoff coefficient</subject><subject>Sensitivity analysis</subject><subject>Terrain</subject><subject>Upstream</subject><subject>Urbanization</subject><issn>0273-1223</issn><issn>1996-9732</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp90UtLxDAUhuEgio6XnWsJuNCFHXNr0ixlvILgRtclbVJbbZMxp3WYf2_Ey8KFqxB4-ODwInRIyZxRKc9XMM4ZoXROc7WBZlRrmWnF2SaaEaZ4RhnjO2gX4IUQorgg22iHMSK0YvkM1Zfu3fVhOTg_4tBgg6GOzvnOP-PBjW2weAzYADgA3PQh_WMHrzh4bI3voMXejF3wpscxGAvYeIvb7rldmTWGNYxugH201Zge3MH3u4eerq8eF7fZ_cPN3eLiPqt5ocfMKV1YSa2ROdVKEqNcnldSUVtZaWumeS5EpQ3VjJtcC1tbZotaCsGMLKqC76GTr91lDG-Tg7EcOqhd3xvvwgSlJoxzwblK8vRfSQkvJOFM0ESP_9CXMMV0b1Ja8KKQMpdJnX2pOgaA6JpyGbvBxHWaKj8zlSlT-ZmpTJkSP_oenarB2V_804V_AKqPjSg</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>Nielsen, N H</creator><creator>Larsen, M R A</creator><creator>Rasmussen, S F</creator><general>IWA Publishing</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</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>FYUFA</scope><scope>GHDGH</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7ST</scope><scope>7TG</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope><scope>KL.</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20110101</creationdate><title>Development of a screening method to assess flood risk on danish national roads and highway systems</title><author>Nielsen, N H ; Larsen, M R A ; Rasmussen, S F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-e798d61da6519760a7e55b671dbd6dc293544b9a1923a594dcd2d8c6442a68b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Case studies</topic><topic>Catchment area</topic><topic>Catchments</topic><topic>Climate Change</topic><topic>Computer simulation</topic><topic>Denmark</topic><topic>Disaster Planning - methods</topic><topic>Disaster Planning - organization & administration</topic><topic>Drainage systems</topic><topic>Environmental risk</topic><topic>Extreme weather</topic><topic>Flood control</topic><topic>Flood insurance</topic><topic>Flooding</topic><topic>Floods</topic><topic>Flow paths</topic><topic>Geographic Information Systems</topic><topic>Geographical information systems</topic><topic>Hydrodynamics</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Models, Theoretical</topic><topic>Preferential flow</topic><topic>Rain</topic><topic>Ranking</topic><topic>Risk Assessment</topic><topic>Roads</topic><topic>Runoff</topic><topic>Runoff coefficient</topic><topic>Sensitivity analysis</topic><topic>Terrain</topic><topic>Upstream</topic><topic>Urbanization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nielsen, N H</creatorcontrib><creatorcontrib>Larsen, M R A</creatorcontrib><creatorcontrib>Rasmussen, S F</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</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>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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering 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>Engineering Collection</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Sustainability Science Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Flood risk has gained renewed focus due to the climate changes in recent years and extreme rain events are expected to become more frequent in the future. The assessment was primarily based on a digital terrain model (DTM) covering 7,500 km2 in a 1.6 x 1.6 m grid. The high-resolution terrain model was chosen in order to get an accurate estimation of the potential flooding in the road area and in the immediate vicinity, but also put a high requirement on the methods, hardware and software applied. The outcome of the analysis was detailed maps (as GIS layers) illustrating the location of depressions with depths, surface area and volume data for each depression. Furthermore, preferential flow paths, catchment boundaries and ranking of each depression were calculated. The ranking was based on volume of depressions compared with upstream catchment and a sensitivity analysis of the runoff coefficient. Finally, a method for assessing flood risk at a more advanced level (hydrodynamic simulation of surface and drainage) was developed and used on a specific blue spot as an example. The case study shows that upstream catchment, depressions, drainage system, and use of hydrodynamic calculations have a great influence on the result. Upstream catchments can contribute greatly to the flooding.</abstract><cop>England</cop><pub>IWA Publishing</pub><pmid>22049725</pmid><doi>10.2166/wst.2011.157</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Case studies Catchment area Catchments Climate Change Computer simulation Denmark Disaster Planning - methods Disaster Planning - organization & administration Drainage systems Environmental risk Extreme weather Flood control Flood insurance Flooding Floods Flow paths Geographic Information Systems Geographical information systems Hydrodynamics Mathematical models Methods Models, Theoretical Preferential flow Rain Ranking Risk Assessment Roads Runoff Runoff coefficient Sensitivity analysis Terrain Upstream Urbanization |
title | Development of a screening method to assess flood risk on danish national roads and highway systems |
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