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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of flood risk management 2018-02, Vol.11 (S2), p.S1051-S1062
Hauptverfasser: Bhuyian, Md. N.M., Kalyanapu, A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page S1062
container_issue S2
container_start_page S1051
container_title Journal of flood risk management
container_volume 11
creator Bhuyian, Md. N.M.
Kalyanapu, A.
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
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2008270720</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2008270720</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3373-1fa3d47e1a8117275ba0dd254f72dc77c10ec86044301321b1796cff8056b8a3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQQIMoWKsXf0HAm7A1k-xu0mMpVisFQXrwFtJsUlK2SU2ySv-9W9eDJ-cyA_Pmg4fQLZAJ9PGws5FNgNIpO0Mj4BUrGIj38z_1JbpKaUdIzQUvR2g50zp0Pju_xY3buqxabFrzqbILHndem5iV8_mIbYjYtiE0WAefzEdn-iZWKZmU9sbna3RhVZvMzW8eo_XicT1_LlavT8v5bFVoxjgrwCrWlNyAEgCc8mqjSNPQqrScNppzDcRoUZOyZAQYhQ3waa2tFaSqN0KxMbob1h5i6H9IWe5CF31_UVJCBOWEU9JT9wOlY0gpGisP0e1VPEog8mRKnkzJH1M9DAP85Vpz_IeUL4s3Nsx8Axevaw8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2008270720</pqid></control><display><type>article</type><title>Accounting digital elevation uncertainty for flood consequence assessment</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Bhuyian, Md. 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. 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><identifier>ISSN: 1753-318X</identifier><identifier>EISSN: 1753-318X</identifier><identifier>DOI: 10.1111/jfr3.12293</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>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</subject><ispartof>Journal of flood risk management, 2018-02, Vol.11 (S2), p.S1051-S1062</ispartof><rights>2017 The Chartered Institution of Water and Environmental Management (CIWEM) and John Wiley &amp; Sons Ltd</rights><rights>2018 The Chartered Institution of Water and Environmental Management (CIWEM) and John Wiley &amp; Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3373-1fa3d47e1a8117275ba0dd254f72dc77c10ec86044301321b1796cff8056b8a3</citedby><cites>FETCH-LOGICAL-c3373-1fa3d47e1a8117275ba0dd254f72dc77c10ec86044301321b1796cff8056b8a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjfr3.12293$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjfr3.12293$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Bhuyian, Md. 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 &amp; 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 &amp; 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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; 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>
fulltext fulltext
identifier ISSN: 1753-318X
ispartof Journal of flood risk management, 2018-02, Vol.11 (S2), p.S1051-S1062
issn 1753-318X
1753-318X
language eng
recordid cdi_proquest_journals_2008270720
source Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T05%3A21%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accounting%20digital%20elevation%20uncertainty%20for%20flood%20consequence%20assessment&rft.jtitle=Journal%20of%20flood%20risk%20management&rft.au=Bhuyian,%20Md.%20N.M.&rft.date=2018-02&rft.volume=11&rft.issue=S2&rft.spage=S1051&rft.epage=S1062&rft.pages=S1051-S1062&rft.issn=1753-318X&rft.eissn=1753-318X&rft_id=info:doi/10.1111/jfr3.12293&rft_dat=%3Cproquest_cross%3E2008270720%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2008270720&rft_id=info:pmid/&rfr_iscdi=true