Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge
Identifieur interne : 000A77 ( Istex/Corpus ); précédent : 000A76; suivant : 000A78Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge
Auteurs : Gregory V. WilkersonSource :
- JAWRA Journal of the American Water Resources Association [ 1093-474X ] ; 2008-02.
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Abstract
Abstract: Knowledge of bankfull discharge (Qbf) is essential for planners, engineers, geomorphologists, environmentalists, agricultural interests, developments situated on flood prone lands, surface mining and reclamation activities, and others interested in floods and flooding. In conjunction with estimating Qbf, regionalized bankfull hydraulic geometry relationships, which relate Qbf and associated channel dimensions (i.e., width, depth, and cross‐section area) to drainage basin area (Ada), are often used. This study seeks to improve upon the common practice of predicting Qbf using Ada exclusively. Specifically, we hypothesize that predictions of Qbf can be improved by including estimates of the 2‐year recurrence‐period discharge (Q2) in regression models for predicting Qbf. For testing this hypothesis, we used Qbf estimates from 30 reports containing data for streams that span 34 hydrologic regions in 16 states. Corresponding values of Q2 and Ada were compiled from flood‐frequency reports and other sources. By comparing statistical measures (i.e., root mean squared error, coefficient of determination, and Akaike’s information criterion), we determined that predicting Qbf from Q2 rather than Ada yields consistently better estimates of Qbf. Other principal findings are (1) data are needed for at least 12 sites in a region for reliable hydraulic geometry model selection and (2) an approximate range of values for Qbf/Q2 is 0.10‐3.0.
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DOI: 10.1111/j.1752-1688.2007.00151.x
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Wilkerson</name><affiliation><mods:affiliation>Visiting Research Assistant Professor, Department of Civil and Environmental Engineering, University of Illinois at Urbana‐Champaign, 2524 Hydrosystems Laboratory, MC‐250, 205 N. Matthews Ave., Urbana, Illinois 61801</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">JAWRA Journal of the American Water Resources Association</title><idno type="ISSN">1093-474X</idno><idno type="eISSN">1752-1688</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2008-02">2008-02</date><biblScope unit="volume">44</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="243">243</biblScope><biblScope unit="page" to="257">257</biblScope></imprint><idno type="ISSN">1093-474X</idno></series><idno type="istex">90E957E191078E877BB13710CA4FF81093A6FDBF</idno><idno type="DOI">10.1111/j.1752-1688.2007.00151.x</idno><idno type="ArticleID">JAWR151</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1093-474X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>bankfull discharge</term><term>flooding</term><term>geomorphology</term><term>hydraulic geometry</term><term>restoration</term><term>rivers/streams</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Abstract: Knowledge of bankfull discharge (Qbf) is essential for planners, engineers, geomorphologists, environmentalists, agricultural interests, developments situated on flood prone lands, surface mining and reclamation activities, and others interested in floods and flooding. In conjunction with estimating Qbf, regionalized bankfull hydraulic geometry relationships, which relate Qbf and associated channel dimensions (i.e., width, depth, and cross‐section area) to drainage basin area (Ada), are often used. This study seeks to improve upon the common practice of predicting Qbf using Ada exclusively. Specifically, we hypothesize that predictions of Qbf can be improved by including estimates of the 2‐year recurrence‐period discharge (Q2) in regression models for predicting Qbf. For testing this hypothesis, we used Qbf estimates from 30 reports containing data for streams that span 34 hydrologic regions in 16 states. Corresponding values of Q2 and Ada were compiled from flood‐frequency reports and other sources. By comparing statistical measures (i.e., root mean squared error, coefficient of determination, and Akaike’s information criterion), we determined that predicting Qbf from Q2 rather than Ada yields consistently better estimates of Qbf. Other principal findings are (1) data are needed for at least 12 sites in a region for reliable hydraulic geometry model selection and (2) an approximate range of values for Qbf/Q2 is 0.10‐3.0.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Gregory V. Wilkerson</name><affiliations><json:string>Visiting Research Assistant Professor, Department of Civil and Environmental Engineering, University of Illinois at Urbana‐Champaign, 2524 Hydrosystems Laboratory, MC‐250, 205 N. 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In conjunction with estimating Qbf, regionalized bankfull hydraulic geometry relationships, which relate Qbf and associated channel dimensions (i.e., width, depth, and cross‐section area) to drainage basin area (Ada), are often used. This study seeks to improve upon the common practice of predicting Qbf using Ada exclusively. Specifically, we hypothesize that predictions of Qbf can be improved by including estimates of the 2‐year recurrence‐period discharge (Q2) in regression models for predicting Qbf. For testing this hypothesis, we used Qbf estimates from 30 reports containing data for streams that span 34 hydrologic regions in 16 states. Corresponding values of Q2 and Ada were compiled from flood‐frequency reports and other sources. By comparing statistical measures (i.e., root mean squared error, coefficient of determination, and Akaike’s information criterion), we determined that predicting Qbf from Q2 rather than Ada yields consistently better estimates of Qbf. Other principal findings are (1) data are needed for at least 12 sites in a region for reliable hydraulic geometry model selection and (2) an approximate range of values for Qbf/Q2 is 0.10‐3.0.</abstract><qualityIndicators><score>7.472</score><pdfVersion>1.3</pdfVersion><pdfPageSize>612 x 792 pts (letter)</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>1456</abstractCharCount><pdfWordCount>7074</pdfWordCount><pdfCharCount>52088</pdfCharCount><pdfPageCount>16</pdfPageCount><abstractWordCount>206</abstractWordCount></qualityIndicators><title>Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge</title><genre><json:string>article</json:string></genre><host><volume>44</volume><publisherId><json:string>JAWR</json:string></publisherId><pages><total>15</total><last>257</last><first>243</first></pages><issn><json:string>1093-474X</json:string></issn><issue>1</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1752-1688</json:string></eissn><title>JAWRA Journal of the American Water Resources Association</title><doi><json:string>10.1111/(ISSN)1752-1688</json:string></doi></host><categories><wos><json:string>science</json:string><json:string>water resources</json:string><json:string>geosciences, multidisciplinary</json:string><json:string>engineering, environmental</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>engineering</json:string><json:string>environmental engineering</json:string></scienceMetrix></categories><publicationDate>2008</publicationDate><copyrightDate>2008</copyrightDate><doi><json:string>10.1111/j.1752-1688.2007.00151.x</json:string></doi><id>90E957E191078E877BB13710CA4FF81093A6FDBF</id><score>0.03874448</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/90E957E191078E877BB13710CA4FF81093A6FDBF/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/90E957E191078E877BB13710CA4FF81093A6FDBF/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/90E957E191078E877BB13710CA4FF81093A6FDBF/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><availability><p>WILEY</p></availability><date>2008</date></publicationStmt><notesStmt><note type="content">*Paper No. J06183 of the Journal of the American Water Resources Association (JAWRA).Discussions are open until August 1, 2008.</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge</title><author xml:id="author-1"><persName><forename type="first">Gregory V.</forename><surname>Wilkerson</surname></persName><affiliation>Visiting Research Assistant Professor, Department of Civil and Environmental Engineering, University of Illinois at Urbana‐Champaign, 2524 Hydrosystems Laboratory, MC‐250, 205 N. Matthews Ave., Urbana, Illinois 61801</affiliation></author></analytic><monogr><title level="j">JAWRA Journal of the American Water Resources Association</title><idno type="pISSN">1093-474X</idno><idno type="eISSN">1752-1688</idno><idno type="DOI">10.1111/(ISSN)1752-1688</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2008-02"></date><biblScope unit="volume">44</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="243">243</biblScope><biblScope unit="page" to="257">257</biblScope></imprint></monogr><idno type="istex">90E957E191078E877BB13710CA4FF81093A6FDBF</idno><idno type="DOI">10.1111/j.1752-1688.2007.00151.x</idno><idno type="ArticleID">JAWR151</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2008</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>Abstract: Knowledge of bankfull discharge (Qbf) is essential for planners, engineers, geomorphologists, environmentalists, agricultural interests, developments situated on flood prone lands, surface mining and reclamation activities, and others interested in floods and flooding. In conjunction with estimating Qbf, regionalized bankfull hydraulic geometry relationships, which relate Qbf and associated channel dimensions (i.e., width, depth, and cross‐section area) to drainage basin area (Ada), are often used. This study seeks to improve upon the common practice of predicting Qbf using Ada exclusively. Specifically, we hypothesize that predictions of Qbf can be improved by including estimates of the 2‐year recurrence‐period discharge (Q2) in regression models for predicting Qbf. For testing this hypothesis, we used Qbf estimates from 30 reports containing data for streams that span 34 hydrologic regions in 16 states. Corresponding values of Q2 and Ada were compiled from flood‐frequency reports and other sources. By comparing statistical measures (i.e., root mean squared error, coefficient of determination, and Akaike’s information criterion), we determined that predicting Qbf from Q2 rather than Ada yields consistently better estimates of Qbf. Other principal findings are (1) data are needed for at least 12 sites in a region for reliable hydraulic geometry model selection and (2) an approximate range of values for Qbf/Q2 is 0.10‐3.0.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>bankfull discharge</term></item><item><term>hydraulic geometry</term></item><item><term>restoration</term></item><item><term>rivers/streams</term></item><item><term>geomorphology</term></item><item><term>flooding</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2008-02">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/90E957E191078E877BB13710CA4FF81093A6FDBF/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Ltd</publisherName><publisherLoc>Oxford, UK</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1752-1688</doi><issn type="print">1093-474X</issn><issn type="electronic">1752-1688</issn><idGroup><id type="product" value="JAWR"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="JOURNAL OF AMERICAN WATER RESOURCES ASSOCIATION">JAWRA Journal of the American Water Resources Association</title></titleGroup></publicationMeta><publicationMeta level="part" position="02001"><doi origin="wiley">10.1111/jawr.2008.44.issue-1</doi><numberingGroup><numbering type="journalVolume" number="44">44</numbering><numbering type="journalIssue" number="1">1</numbering></numberingGroup><coverDate startDate="2008-02">February 2008</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="19" status="forIssue"><doi origin="wiley">10.1111/j.1752-1688.2007.00151.x</doi><idGroup><id type="unit" value="JAWR151"></id></idGroup><countGroup><count type="pageTotal" number="15"></count></countGroup><titleGroup><title type="tocHeading1">T<sc>echnical</sc> P<sc>apers</sc></title></titleGroup><eventGroup><event type="firstOnline" date="2008-01-23"></event><event type="publishedOnlineFinalForm" date="2008-01-23"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.5 mode:FullText source:FullText result:FullText" date="2010-04-07"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-28"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-23"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="243">243</numbering><numbering type="pageLast" number="257">257</numbering></numberingGroup><correspondenceTo>(E‐Mail/Wilkerson: <email>gw1@uiuc.edu</email>).</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JAWR.JAWR151.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Received December 19, 2006; accepted July 13, 2007.</unparsedEditorialHistory><countGroup><count type="figureTotal" number="6"></count><count type="tableTotal" number="5"></count></countGroup><titleGroup><title type="main">Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge<link href="#fn1"><sup>1</sup></link></title><title type="shortAuthors">W<sc>ilkerson</sc></title><title type="short">I<sc>mproved</sc> B<sc>ankfull</sc> D<sc>ischarge</sc> P<sc>rediction</sc> U<sc>sing</sc> 2‐Y<sc>ear</sc> R<sc>ecurrence</sc>‐P<sc>eriod</sc> D<sc>ischarge</sc></title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>Gregory V.</givenNames><familyName>Wilkerson</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="US"><unparsedAffiliation>Visiting Research Assistant Professor, Department of Civil and Environmental Engineering, University of Illinois at Urbana‐Champaign, 2524 Hydrosystems Laboratory, MC‐250, 205 N. Matthews Ave., Urbana, Illinois 61801</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">bankfull discharge</keyword><keyword xml:id="k2">hydraulic geometry</keyword><keyword xml:id="k3">restoration</keyword><keyword xml:id="k4">rivers/streams</keyword><keyword xml:id="k5">geomorphology</keyword><keyword xml:id="k6">flooding</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><p><b>Abstract: </b> Knowledge of bankfull discharge (<i>Q</i><sub>bf</sub>) is essential for planners, engineers, geomorphologists, environmentalists, agricultural interests, developments situated on flood prone lands, surface mining and reclamation activities, and others interested in floods and flooding. In conjunction with estimating <i>Q</i><sub>bf</sub>, regionalized bankfull hydraulic geometry relationships, which relate <i>Q</i><sub>bf</sub> and associated channel dimensions (i.e., width, depth, and cross‐section area) to drainage basin area (<i>A</i><sub>da</sub>), are often used. This study seeks to improve upon the common practice of predicting <i>Q</i><sub>bf</sub> using <i>A</i><sub>da</sub> exclusively. Specifically, we hypothesize that predictions of <i>Q</i><sub>bf</sub> can be improved by including estimates of the 2‐year recurrence‐period discharge (<i>Q</i><sub>2</sub>) in regression models for predicting <i>Q</i><sub>bf</sub>. For testing this hypothesis, we used <i>Q</i><sub>bf</sub> estimates from 30 reports containing data for streams that span 34 hydrologic regions in 16 states. Corresponding values of <i>Q</i><sub>2</sub> and <i>A</i><sub>da</sub> were compiled from flood‐frequency reports and other sources. By comparing statistical measures (i.e., root mean squared error, coefficient of determination, and Akaike’s information criterion), we determined that predicting <i>Q</i><sub>bf</sub> from <i>Q</i><sub>2</sub> rather than <i>A</i><sub>da</sub> yields consistently better estimates of <i>Q</i><sub>bf</sub>. Other principal findings are (1) data are needed for at least 12 sites in a region for reliable hydraulic geometry model selection and (2) an approximate range of values for <i>Q</i><sub>bf</sub>/<i>Q</i><sub>2</sub> is 0.10‐3.0.</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><label>1</label><p> Paper No. J06183 of the <i>Journal of the American Water Resources Association</i> (JAWRA).<b>Discussions are open until August 1, 2008</b>.</p></note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Improved Bankfull Discharge Prediction Using 2‐Year Recurrence‐Period Discharge1</title></titleInfo><name type="personal"><namePart type="given">Gregory V.</namePart><namePart type="family">Wilkerson</namePart><affiliation>Visiting Research Assistant Professor, Department of Civil and Environmental Engineering, University of Illinois at Urbana‐Champaign, 2524 Hydrosystems Laboratory, MC‐250, 205 N. Matthews Ave., Urbana, Illinois 61801</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">2008-02</dateIssued><edition>Received December 19, 2006; accepted July 13, 2007.</edition><copyrightDate encoding="w3cdtf">2008</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">6</extent><extent unit="tables">5</extent></physicalDescription><abstract>Abstract: Knowledge of bankfull discharge (Qbf) is essential for planners, engineers, geomorphologists, environmentalists, agricultural interests, developments situated on flood prone lands, surface mining and reclamation activities, and others interested in floods and flooding. In conjunction with estimating Qbf, regionalized bankfull hydraulic geometry relationships, which relate Qbf and associated channel dimensions (i.e., width, depth, and cross‐section area) to drainage basin area (Ada), are often used. This study seeks to improve upon the common practice of predicting Qbf using Ada exclusively. Specifically, we hypothesize that predictions of Qbf can be improved by including estimates of the 2‐year recurrence‐period discharge (Q2) in regression models for predicting Qbf. For testing this hypothesis, we used Qbf estimates from 30 reports containing data for streams that span 34 hydrologic regions in 16 states. Corresponding values of Q2 and Ada were compiled from flood‐frequency reports and other sources. By comparing statistical measures (i.e., root mean squared error, coefficient of determination, and Akaike’s information criterion), we determined that predicting Qbf from Q2 rather than Ada yields consistently better estimates of Qbf. Other principal findings are (1) data are needed for at least 12 sites in a region for reliable hydraulic geometry model selection and (2) an approximate range of values for Qbf/Q2 is 0.10‐3.0.</abstract><note type="content">*Paper No. J06183 of the Journal of the American Water Resources Association (JAWRA).Discussions are open until August 1, 2008.</note><subject lang="en"><genre>keywords</genre><topic>bankfull discharge</topic><topic>hydraulic geometry</topic><topic>restoration</topic><topic>rivers/streams</topic><topic>geomorphology</topic><topic>flooding</topic></subject><relatedItem type="host"><titleInfo><title>JAWRA Journal of the American Water Resources Association</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">1093-474X</identifier><identifier type="eISSN">1752-1688</identifier><identifier type="DOI">10.1111/(ISSN)1752-1688</identifier><identifier type="PublisherID">JAWR</identifier><part><date>2008</date><detail type="volume"><caption>vol.</caption><number>44</number></detail><detail type="issue"><caption>no.</caption><number>1</number></detail><extent unit="pages"><start>243</start><end>257</end><total>15</total></extent></part></relatedItem><identifier type="istex">90E957E191078E877BB13710CA4FF81093A6FDBF</identifier><identifier type="DOI">10.1111/j.1752-1688.2007.00151.x</identifier><identifier type="ArticleID">JAWR151</identifier><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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