Accounting digital elevation uncertainty for flood consequence assessment
A digital elevation model (DEM) is commonly used as a substitute for surveyed topographic data. Selection of suitable DEM and optimum spatial resolution is, thus, a key for achieving expected accuracy within sufficient simulation time. This study compared DEMs from different sources (i.e. Shuttle Ra...
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Veröffentlicht in: | Journal of flood risk management 2018-02, Vol.11 (S2), p.S1051-S1062 |
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description | A digital elevation model (DEM) is commonly used as a substitute for surveyed topographic data. Selection of suitable DEM and optimum spatial resolution is, thus, a key for achieving expected accuracy within sufficient simulation time. This study compared DEMs from different sources (i.e. Shuttle Radar Topography Mission, Advanced Spaceborne Thermal Emission and Reflection Radiometer, National Elevation Dataset, and Light Detection and Ranging) with various spatial resolutions for a 35 km long stretch of the American River downstream of Folsom Dam in California. The study period was the 1997 ‘New Year's Flood’ used to estimate downstream flood consequences, especially in urban areas near Sacramento. The objective of this study was to quantify the comparative deviation of model accuracy for each specific set of topographic data. This study also looked into developing correlations between consequences and flood magnitude. The hydrodynamic model furnished input for flood damage assessment. The Hydrologic Engineering Center's Flood Impact Analysis (HEC‐FIA) was employed to estimate flood losses for each scenario. This analysis will assist decision‐makers in selecting the appropriate DEM for flood consequence assessment to get reasonable results within a convenient amount of time. It is also expected that this study will be useful for estimating consequences in absence of high‐quality terrain data, which will be especially helpful in remote study areas. |
doi_str_mv | 10.1111/jfr3.12293 |
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N.M. ; Kalyanapu, A.</creator><creatorcontrib>Bhuyian, Md. N.M. ; Kalyanapu, A.</creatorcontrib><description>A digital elevation model (DEM) is commonly used as a substitute for surveyed topographic data. Selection of suitable DEM and optimum spatial resolution is, thus, a key for achieving expected accuracy within sufficient simulation time. This study compared DEMs from different sources (i.e. Shuttle Radar Topography Mission, Advanced Spaceborne Thermal Emission and Reflection Radiometer, National Elevation Dataset, and Light Detection and Ranging) with various spatial resolutions for a 35 km long stretch of the American River downstream of Folsom Dam in California. The study period was the 1997 ‘New Year's Flood’ used to estimate downstream flood consequences, especially in urban areas near Sacramento. The objective of this study was to quantify the comparative deviation of model accuracy for each specific set of topographic data. This study also looked into developing correlations between consequences and flood magnitude. The hydrodynamic model furnished input for flood damage assessment. The Hydrologic Engineering Center's Flood Impact Analysis (HEC‐FIA) was employed to estimate flood losses for each scenario. This analysis will assist decision‐makers in selecting the appropriate DEM for flood consequence assessment to get reasonable results within a convenient amount of time. 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N.M.</creatorcontrib><creatorcontrib>Kalyanapu, A.</creatorcontrib><title>Accounting digital elevation uncertainty for flood consequence assessment</title><title>Journal of flood risk management</title><description>A digital elevation model (DEM) is commonly used as a substitute for surveyed topographic data. Selection of suitable DEM and optimum spatial resolution is, thus, a key for achieving expected accuracy within sufficient simulation time. This study compared DEMs from different sources (i.e. Shuttle Radar Topography Mission, Advanced Spaceborne Thermal Emission and Reflection Radiometer, National Elevation Dataset, and Light Detection and Ranging) with various spatial resolutions for a 35 km long stretch of the American River downstream of Folsom Dam in California. The study period was the 1997 ‘New Year's Flood’ used to estimate downstream flood consequences, especially in urban areas near Sacramento. The objective of this study was to quantify the comparative deviation of model accuracy for each specific set of topographic data. This study also looked into developing correlations between consequences and flood magnitude. The hydrodynamic model furnished input for flood damage assessment. The Hydrologic Engineering Center's Flood Impact Analysis (HEC‐FIA) was employed to estimate flood losses for each scenario. This analysis will assist decision‐makers in selecting the appropriate DEM for flood consequence assessment to get reasonable results within a convenient amount of time. It is also expected that this study will be useful for estimating consequences in absence of high‐quality terrain data, which will be especially helpful in remote study areas.</description><subject>Accuracy</subject><subject>Computer simulation</subject><subject>Correlation analysis</subject><subject>Damage assessment</subject><subject>Data</subject><subject>Decision analysis</subject><subject>Detection</subject><subject>Digital Elevation Models</subject><subject>Digital terrain modelling</subject><subject>Downstream</subject><subject>Downstream effects</subject><subject>Elevation</subject><subject>Flood damage</subject><subject>Flood magnitude</subject><subject>Floods</subject><subject>hydraulic modelling</subject><subject>Hydrodynamic models</subject><subject>Hydrodynamics</subject><subject>Hydrologic data</subject><subject>Hydrology</subject><subject>Impact analysis</subject><subject>Impact damage</subject><subject>Lidar</subject><subject>mapping of hazard and risk</subject><subject>Model accuracy</subject><subject>Radar</subject><subject>Radiometers</subject><subject>risk analysis</subject><subject>Rivers</subject><subject>Slope</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Thermal emission</subject><subject>Topography</subject><subject>Topography (geology)</subject><subject>Urban areas</subject><issn>1753-318X</issn><issn>1753-318X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQQIMoWKsXf0HAm7A1k-xu0mMpVisFQXrwFtJsUlK2SU2ySv-9W9eDJ-cyA_Pmg4fQLZAJ9PGws5FNgNIpO0Mj4BUrGIj38z_1JbpKaUdIzQUvR2g50zp0Pju_xY3buqxabFrzqbILHndem5iV8_mIbYjYtiE0WAefzEdn-iZWKZmU9sbna3RhVZvMzW8eo_XicT1_LlavT8v5bFVoxjgrwCrWlNyAEgCc8mqjSNPQqrScNppzDcRoUZOyZAQYhQ3waa2tFaSqN0KxMbob1h5i6H9IWe5CF31_UVJCBOWEU9JT9wOlY0gpGisP0e1VPEog8mRKnkzJH1M9DAP85Vpz_IeUL4s3Nsx8Axevaw8</recordid><startdate>201802</startdate><enddate>201802</enddate><creator>Bhuyian, Md. N.M.</creator><creator>Kalyanapu, A.</creator><general>Blackwell Publishing Ltd</general><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>201802</creationdate><title>Accounting digital elevation uncertainty for flood consequence assessment</title><author>Bhuyian, Md. N.M. ; Kalyanapu, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3373-1fa3d47e1a8117275ba0dd254f72dc77c10ec86044301321b1796cff8056b8a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Accuracy</topic><topic>Computer simulation</topic><topic>Correlation analysis</topic><topic>Damage assessment</topic><topic>Data</topic><topic>Decision analysis</topic><topic>Detection</topic><topic>Digital Elevation Models</topic><topic>Digital terrain modelling</topic><topic>Downstream</topic><topic>Downstream effects</topic><topic>Elevation</topic><topic>Flood damage</topic><topic>Flood magnitude</topic><topic>Floods</topic><topic>hydraulic modelling</topic><topic>Hydrodynamic models</topic><topic>Hydrodynamics</topic><topic>Hydrologic data</topic><topic>Hydrology</topic><topic>Impact analysis</topic><topic>Impact damage</topic><topic>Lidar</topic><topic>mapping of hazard and risk</topic><topic>Model accuracy</topic><topic>Radar</topic><topic>Radiometers</topic><topic>risk analysis</topic><topic>Rivers</topic><topic>Slope</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Thermal emission</topic><topic>Topography</topic><topic>Topography (geology)</topic><topic>Urban areas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bhuyian, Md. N.M.</creatorcontrib><creatorcontrib>Kalyanapu, A.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</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>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of flood risk management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bhuyian, Md. N.M.</au><au>Kalyanapu, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accounting digital elevation uncertainty for flood consequence assessment</atitle><jtitle>Journal of flood risk management</jtitle><date>2018-02</date><risdate>2018</risdate><volume>11</volume><issue>S2</issue><spage>S1051</spage><epage>S1062</epage><pages>S1051-S1062</pages><issn>1753-318X</issn><eissn>1753-318X</eissn><abstract>A digital elevation model (DEM) is commonly used as a substitute for surveyed topographic data. Selection of suitable DEM and optimum spatial resolution is, thus, a key for achieving expected accuracy within sufficient simulation time. This study compared DEMs from different sources (i.e. Shuttle Radar Topography Mission, Advanced Spaceborne Thermal Emission and Reflection Radiometer, National Elevation Dataset, and Light Detection and Ranging) with various spatial resolutions for a 35 km long stretch of the American River downstream of Folsom Dam in California. The study period was the 1997 ‘New Year's Flood’ used to estimate downstream flood consequences, especially in urban areas near Sacramento. The objective of this study was to quantify the comparative deviation of model accuracy for each specific set of topographic data. This study also looked into developing correlations between consequences and flood magnitude. The hydrodynamic model furnished input for flood damage assessment. The Hydrologic Engineering Center's Flood Impact Analysis (HEC‐FIA) was employed to estimate flood losses for each scenario. This analysis will assist decision‐makers in selecting the appropriate DEM for flood consequence assessment to get reasonable results within a convenient amount of time. It is also expected that this study will be useful for estimating consequences in absence of high‐quality terrain data, which will be especially helpful in remote study areas.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/jfr3.12293</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Computer simulation Correlation analysis Damage assessment Data Decision analysis Detection Digital Elevation Models Digital terrain modelling Downstream Downstream effects Elevation Flood damage Flood magnitude Floods hydraulic modelling Hydrodynamic models Hydrodynamics Hydrologic data Hydrology Impact analysis Impact damage Lidar mapping of hazard and risk Model accuracy Radar Radiometers risk analysis Rivers Slope Spatial discrimination Spatial resolution Thermal emission Topography Topography (geology) Urban areas |
title | Accounting digital elevation uncertainty for flood consequence assessment |
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