AN INTERACTWE MODELING ENVIRONMENT FOR NON‐POINT SOURCE POLLUTION CONTROL
Identifieur interne : 001240 ( Istex/Corpus ); précédent : 001239; suivant : 001241AN INTERACTWE MODELING ENVIRONMENT FOR NON‐POINT SOURCE POLLUTION CONTROL
Auteurs : Hsiu-Hua Liao ; U. S. TimSource :
- JAWRA Journal of the American Water Resources Association [ 1093-474X ] ; 1997-06.
English descriptors
Abstract
ABSTRACT: Non‐point source pollution cuntinues to be an important environmental and water quality management problem. For the moat part, analysis of non‐point source pollution in watersheds has depended on the use of distributed models to identify potential problem areas and to assess the effectiveness of alternative management practices. To effectively use these models for watershed water quality management, users depend on integrated geographic information systems (GIS)‐based interfaces for input/output data management. However, existing interfaces are ad‐hoc and the utility of GIS is limited to organization of input data and display of output data. A highly interactive water quality modeling interface that utilizes the functional components and analytical capability of GIS is highly desirable. This paper describes the tight coupling of the Agricultural Non‐point Source (AGNPS) water quality model and ARC/INFO GIS software to provide an interactive hybrid modeling environment for evaluation of non‐point source pollution in a watershed. The modeling environment is designed to generate AGNPS input parameters from user‐specified GIS coverages, create AGNPS input data files, control AGNPS model simulations, and extract and organize AGNPS model output data for display. An example application involving the estimation of pesticide loading in a southern Iowa agricultural watershed demonstrates the capability of the modeling environment. Compared with traditional methods of watershed water quality modeling using the AGNPS model or other ad‐hoc interfaces between a distributed model and GIS, the interactive modeling environment system is efficient and significantly reduces the task of watershed analysis using tightly coupled GIS databases and distributed models.
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DOI: 10.1111/j.1752-1688.1997.tb03534.x
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Tim</name><affiliation><mods:affiliation>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:ED84874B9324D2A10062B30D52B312ED0CE20FEC</idno><date when="1997" year="1997">1997</date><idno type="doi">10.1111/j.1752-1688.1997.tb03534.x</idno><idno type="url">https://api.istex.fr/document/ED84874B9324D2A10062B30D52B312ED0CE20FEC/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001240</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001240</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">AN INTERACTWE MODELING ENVIRONMENT FOR NON‐POINT SOURCE POLLUTION CONTROL</title><author><name sortKey="Liao, Hsiu Ua" sort="Liao, Hsiu Ua" uniqKey="Liao H" first="Hsiu-Hua" last="Liao">Hsiu-Hua Liao</name><affiliation><mods:affiliation>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</mods:affiliation></affiliation></author><author><name sortKey="Tim, U S" sort="Tim, U S" uniqKey="Tim U" first="U. S." last="Tim">U. S. Tim</name><affiliation><mods:affiliation>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</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="1997-06">1997-06</date><biblScope unit="volume">33</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="591">591</biblScope><biblScope unit="page" to="603">603</biblScope></imprint><idno type="ISSN">1093-474X</idno></series><idno type="istex">ED84874B9324D2A10062B30D52B312ED0CE20FEC</idno><idno type="DOI">10.1111/j.1752-1688.1997.tb03534.x</idno><idno type="ArticleID">JAWR591</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1093-474X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>GIS</term><term>non‐point source pollution</term><term>pollution modeling</term><term>water quality</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">ABSTRACT: Non‐point source pollution cuntinues to be an important environmental and water quality management problem. For the moat part, analysis of non‐point source pollution in watersheds has depended on the use of distributed models to identify potential problem areas and to assess the effectiveness of alternative management practices. To effectively use these models for watershed water quality management, users depend on integrated geographic information systems (GIS)‐based interfaces for input/output data management. However, existing interfaces are ad‐hoc and the utility of GIS is limited to organization of input data and display of output data. A highly interactive water quality modeling interface that utilizes the functional components and analytical capability of GIS is highly desirable. This paper describes the tight coupling of the Agricultural Non‐point Source (AGNPS) water quality model and ARC/INFO GIS software to provide an interactive hybrid modeling environment for evaluation of non‐point source pollution in a watershed. The modeling environment is designed to generate AGNPS input parameters from user‐specified GIS coverages, create AGNPS input data files, control AGNPS model simulations, and extract and organize AGNPS model output data for display. An example application involving the estimation of pesticide loading in a southern Iowa agricultural watershed demonstrates the capability of the modeling environment. Compared with traditional methods of watershed water quality modeling using the AGNPS model or other ad‐hoc interfaces between a distributed model and GIS, the interactive modeling environment system is efficient and significantly reduces the task of watershed analysis using tightly coupled GIS databases and distributed models.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Hsiu‐Hua Liao</name><affiliations><json:string>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</json:string></affiliations></json:item><json:item><name>U.S. Tim</name><affiliations><json:string>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>pollution modeling</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>water quality</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>non‐point source pollution</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>GIS</value></json:item></subject><articleId><json:string>JAWR591</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>ABSTRACT: Non‐point source pollution cuntinues to be an important environmental and water quality management problem. For the moat part, analysis of non‐point source pollution in watersheds has depended on the use of distributed models to identify potential problem areas and to assess the effectiveness of alternative management practices. To effectively use these models for watershed water quality management, users depend on integrated geographic information systems (GIS)‐based interfaces for input/output data management. However, existing interfaces are ad‐hoc and the utility of GIS is limited to organization of input data and display of output data. A highly interactive water quality modeling interface that utilizes the functional components and analytical capability of GIS is highly desirable. This paper describes the tight coupling of the Agricultural Non‐point Source (AGNPS) water quality model and ARC/INFO GIS software to provide an interactive hybrid modeling environment for evaluation of non‐point source pollution in a watershed. The modeling environment is designed to generate AGNPS input parameters from user‐specified GIS coverages, create AGNPS input data files, control AGNPS model simulations, and extract and organize AGNPS model output data for display. An example application involving the estimation of pesticide loading in a southern Iowa agricultural watershed demonstrates the capability of the modeling environment. 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Discussions are open until December 1, 1997. (Journal Paper No. 16870 of the Iowa Agriculture and Home Economic Experiment Station, Ames, Iowa, Project No. 3093.)</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">AN INTERACTWE MODELING ENVIRONMENT FOR NON‐POINT SOURCE POLLUTION CONTROL</title><author xml:id="author-1"><persName><forename type="first">Hsiu‐Hua</forename><surname>Liao</surname></persName><affiliation>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</affiliation></author><author xml:id="author-2"><persName><forename type="first">U.S.</forename><surname>Tim</surname></persName><affiliation>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</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="1997-06"></date><biblScope unit="volume">33</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="591">591</biblScope><biblScope unit="page" to="603">603</biblScope></imprint></monogr><idno type="istex">ED84874B9324D2A10062B30D52B312ED0CE20FEC</idno><idno type="DOI">10.1111/j.1752-1688.1997.tb03534.x</idno><idno type="ArticleID">JAWR591</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1997</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>ABSTRACT: Non‐point source pollution cuntinues to be an important environmental and water quality management problem. 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The modeling environment is designed to generate AGNPS input parameters from user‐specified GIS coverages, create AGNPS input data files, control AGNPS model simulations, and extract and organize AGNPS model output data for display. An example application involving the estimation of pesticide loading in a southern Iowa agricultural watershed demonstrates the capability of the modeling environment. Compared with traditional methods of watershed water quality modeling using the AGNPS model or other ad‐hoc interfaces between a distributed model and GIS, the interactive modeling environment system is efficient and significantly reduces the task of watershed analysis using tightly coupled GIS databases and distributed models.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>pollution modeling</term></item><item><term>water quality</term></item><item><term>non‐point source pollution</term></item><item><term>GIS</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1997-06">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/ED84874B9324D2A10062B30D52B312ED0CE20FEC/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="06003"><doi origin="wiley">10.1111/jawr.1997.33.issue-3</doi><numberingGroup><numbering type="journalVolume" number="33">33</numbering><numbering type="journalIssue" number="3">3</numbering></numberingGroup><coverDate startDate="1997-06">June 1997</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="0059100" status="forIssue"><doi origin="wiley">10.1111/j.1752-1688.1997.tb03534.x</doi><idGroup><id type="unit" value="JAWR591"></id></idGroup><countGroup><count type="pageTotal" number="13"></count></countGroup><eventGroup><event type="firstOnline" date="2007-06-08"></event><event type="publishedOnlineFinalForm" date="2007-06-08"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.2 mode:FullText source:HeaderRef result:HeaderRef" date="2010-03-06"></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="591">591</numbering><numbering type="pageLast" number="603">603</numbering></numberingGroup><linkGroup><link type="toTypesetVersion" href="file:JAWR.JAWR591.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="referenceTotal" number="32"></count><count type="linksCrossRef" number="3"></count></countGroup><titleGroup><title type="main">AN INTERACTWE MODELING ENVIRONMENT FOR NON‐POINT SOURCE POLLUTION CONTROL<link href="#fn1"><sup>1</sup></link></title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>Hsiu‐Hua</givenNames><familyName>Liao</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a1"><personName><givenNames>U.S.</givenNames><familyName>Tim</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="US"><unparsedAffiliation>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">pollution modeling</keyword><keyword xml:id="k2">water quality</keyword><keyword xml:id="k3">non‐point source pollution</keyword><keyword xml:id="k4">GIS</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><p><b>ABSTRACT: </b> Non‐point source pollution cuntinues to be an important environmental and water quality management problem. For the moat part, analysis of non‐point source pollution in watersheds has depended on the use of distributed models to identify potential problem areas and to assess the effectiveness of alternative management practices. To effectively use these models for watershed water quality management, users depend on integrated geographic information systems (GIS)‐based interfaces for input/output data management. However, existing interfaces are ad‐hoc and the utility of GIS is limited to organization of input data and display of output data. A highly interactive water quality modeling interface that utilizes the functional components and analytical capability of GIS is highly desirable. This paper describes the tight coupling of the Agricultural Non‐point Source (AGNPS) water quality model and ARC/INFO GIS software to provide an interactive hybrid modeling environment for evaluation of non‐point source pollution in a watershed. The modeling environment is designed to generate AGNPS input parameters from user‐specified GIS coverages, create AGNPS input data files, control AGNPS model simulations, and extract and organize AGNPS model output data for display. An example application involving the estimation of pesticide loading in a southern Iowa agricultural watershed demonstrates the capability of the modeling environment. Compared with traditional methods of watershed water quality modeling using the AGNPS model or other ad‐hoc interfaces between a distributed model and GIS, the interactive modeling environment system is efficient and significantly reduces the task of watershed analysis using tightly coupled GIS databases and distributed models.</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><label>1</label><p>Paper No. 96076 of the <i>Journal of the American Water Resources Association</i> (formerly <i>Water Resources Bulletin</i>). <b>Discussions are open until December 1, 1997</b>. (Journal Paper No. 16870 of the Iowa Agriculture and Home Economic Experiment Station, Ames, Iowa, Project No. 3093.)</p></note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>AN INTERACTWE MODELING ENVIRONMENT FOR NON‐POINT SOURCE POLLUTION CONTROL</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>AN INTERACTWE MODELING ENVIRONMENT FOR NON‐POINT SOURCE POLLUTION CONTROL1</title></titleInfo><name type="personal"><namePart type="given">Hsiu‐Hua</namePart><namePart type="family">Liao</namePart><affiliation>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">U.S.</namePart><namePart type="family">Tim</namePart><affiliation>Respectively, Graduate Research Assistant and Associate Professor, Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa 50011.</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">1997-06</dateIssued><copyrightDate encoding="w3cdtf">1997</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="references">32</extent></physicalDescription><abstract>ABSTRACT: Non‐point source pollution cuntinues to be an important environmental and water quality management problem. For the moat part, analysis of non‐point source pollution in watersheds has depended on the use of distributed models to identify potential problem areas and to assess the effectiveness of alternative management practices. To effectively use these models for watershed water quality management, users depend on integrated geographic information systems (GIS)‐based interfaces for input/output data management. However, existing interfaces are ad‐hoc and the utility of GIS is limited to organization of input data and display of output data. A highly interactive water quality modeling interface that utilizes the functional components and analytical capability of GIS is highly desirable. This paper describes the tight coupling of the Agricultural Non‐point Source (AGNPS) water quality model and ARC/INFO GIS software to provide an interactive hybrid modeling environment for evaluation of non‐point source pollution in a watershed. The modeling environment is designed to generate AGNPS input parameters from user‐specified GIS coverages, create AGNPS input data files, control AGNPS model simulations, and extract and organize AGNPS model output data for display. An example application involving the estimation of pesticide loading in a southern Iowa agricultural watershed demonstrates the capability of the modeling environment. Compared with traditional methods of watershed water quality modeling using the AGNPS model or other ad‐hoc interfaces between a distributed model and GIS, the interactive modeling environment system is efficient and significantly reduces the task of watershed analysis using tightly coupled GIS databases and distributed models.</abstract><note type="content">*Paper No. 96076 of the Journal of the American Water Resources Association (formerly Water Resources Bulletin). Discussions are open until December 1, 1997. (Journal Paper No. 16870 of the Iowa Agriculture and Home Economic Experiment Station, Ames, Iowa, Project No. 3093.)</note><subject lang="en"><genre>keywords</genre><topic>pollution modeling</topic><topic>water quality</topic><topic>non‐point source pollution</topic><topic>GIS</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>1997</date><detail type="volume"><caption>vol.</caption><number>33</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>591</start><end>603</end><total>13</total></extent></part></relatedItem><identifier type="istex">ED84874B9324D2A10062B30D52B312ED0CE20FEC</identifier><identifier type="DOI">10.1111/j.1752-1688.1997.tb03534.x</identifier><identifier type="ArticleID">JAWR591</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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