Development of an environmental flows decision support system
Identifieur interne : 000F98 ( Istex/Corpus ); précédent : 000F97; suivant : 000F99Development of an environmental flows decision support system
Auteurs : W. J Young ; D. C. L Lam ; V. Ressel ; I. W WongSource :
- Environmental Modelling and Software [ 1364-8152 ] ; 2000.
Abstract
The Murray–Darling Basin in Australia is severely environmentally degraded as a result of a range of anthropogenic changes, most notably the regulation and extraction of surface water resources for irrigated agriculture. Environmental problems include eutrophication of rivers and storages, elevated salinity levels, widespread blooms of toxic blue–green algae, decline of native fish and bird populations, and reduction of area of riverine wetlands. Both the community and the government are committed to improving the state of the environment in the Basin, both for it's intrinsic ecological values, and to ensure the sustainability of production in what is Australia's most economically important agricultural region. To facilitate the on-going trade-off process between competing users of this resource, a decision support system (DSS) is being developed which will enable explicit prediction of the likely response of key features of the riverine environment to proposed flow management scenarios. The DSS is being developed using the RAISON shell (Lam, D.C.L., Mayfield, C.I., Swayne, D.A., Hopkins, K., 1994. A prototype information system for watershed management and planning. Journal of Biological Systems 2 (4), 499–517), and will integrate a range of simple models of riverine ecology which are being developed. These models will include qualitative and quantitative models representing the response of different aspects of the instream and floodplain ecology dependent upon the river flow regime. The DSS will not include a detailed model of river hydrology or hydraulics, but rather, will use the output from the range of such models currently in use in the Basin as inputs to the ecological models. The DSS will also provide a range of tools to allow user-defined evaluation of scenario results, as well as explanations and supporting information to elucidate the ecological modelling.
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DOI: 10.1016/S1364-8152(00)00012-8
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W Wong</name><affiliation><mods:affiliation>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA</idno><date when="2000" year="2000">2000</date><idno type="doi">10.1016/S1364-8152(00)00012-8</idno><idno type="url">https://api.istex.fr/document/6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000F98</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000F98</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Development of an environmental flows decision support system</title><author><name sortKey="Young, W J" sort="Young, W J" uniqKey="Young W" first="W. J" last="Young">W. J Young</name><affiliation><mods:affiliation>CSIRO Land and Water, GPO Box 1666, ACT 2601, Canberra, ACT Australia</mods:affiliation></affiliation><affiliation><mods:affiliation>Corresponding author</mods:affiliation></affiliation></author><author><name sortKey="Lam, D C L" sort="Lam, D C L" uniqKey="Lam D" first="D. C. L" last="Lam">D. C. L Lam</name><affiliation><mods:affiliation>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</mods:affiliation></affiliation></author><author><name sortKey="Ressel, V" sort="Ressel, V" uniqKey="Ressel V" first="V" last="Ressel">V. Ressel</name><affiliation><mods:affiliation>Department of Water Management and Hydrology, University of Agricultural Sciences, Vienna, Austria</mods:affiliation></affiliation></author><author><name sortKey="Wong, I W" sort="Wong, I W" uniqKey="Wong I" first="I. W" last="Wong">I. W Wong</name><affiliation><mods:affiliation>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Environmental Modelling and Software</title><title level="j" type="abbrev">ENSO</title><idno type="ISSN">1364-8152</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000">2000</date><biblScope unit="volume">15</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="257">257</biblScope><biblScope unit="page" to="265">265</biblScope></imprint><idno type="ISSN">1364-8152</idno></series><idno type="istex">6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA</idno><idno type="DOI">10.1016/S1364-8152(00)00012-8</idno><idno type="PII">S1364-8152(00)00012-8</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1364-8152</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The Murray–Darling Basin in Australia is severely environmentally degraded as a result of a range of anthropogenic changes, most notably the regulation and extraction of surface water resources for irrigated agriculture. Environmental problems include eutrophication of rivers and storages, elevated salinity levels, widespread blooms of toxic blue–green algae, decline of native fish and bird populations, and reduction of area of riverine wetlands. Both the community and the government are committed to improving the state of the environment in the Basin, both for it's intrinsic ecological values, and to ensure the sustainability of production in what is Australia's most economically important agricultural region. To facilitate the on-going trade-off process between competing users of this resource, a decision support system (DSS) is being developed which will enable explicit prediction of the likely response of key features of the riverine environment to proposed flow management scenarios. The DSS is being developed using the RAISON shell (Lam, D.C.L., Mayfield, C.I., Swayne, D.A., Hopkins, K., 1994. A prototype information system for watershed management and planning. Journal of Biological Systems 2 (4), 499–517), and will integrate a range of simple models of riverine ecology which are being developed. These models will include qualitative and quantitative models representing the response of different aspects of the instream and floodplain ecology dependent upon the river flow regime. The DSS will not include a detailed model of river hydrology or hydraulics, but rather, will use the output from the range of such models currently in use in the Basin as inputs to the ecological models. The DSS will also provide a range of tools to allow user-defined evaluation of scenario results, as well as explanations and supporting information to elucidate the ecological modelling.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>W.J Young</name><affiliations><json:string>CSIRO Land and Water, GPO Box 1666, ACT 2601, Canberra, ACT Australia</json:string><json:string>Corresponding author</json:string></affiliations></json:item><json:item><name>D.C.L Lam</name><affiliations><json:string>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</json:string></affiliations></json:item><json:item><name>V Ressel</name><affiliations><json:string>Department of Water Management and Hydrology, University of Agricultural Sciences, Vienna, Austria</json:string></affiliations></json:item><json:item><name>I.W Wong</name><affiliations><json:string>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Decision support system</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Environmental modelling</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Water management</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>River health</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>The Murray–Darling Basin in Australia is severely environmentally degraded as a result of a range of anthropogenic changes, most notably the regulation and extraction of surface water resources for irrigated agriculture. Environmental problems include eutrophication of rivers and storages, elevated salinity levels, widespread blooms of toxic blue–green algae, decline of native fish and bird populations, and reduction of area of riverine wetlands. Both the community and the government are committed to improving the state of the environment in the Basin, both for it's intrinsic ecological values, and to ensure the sustainability of production in what is Australia's most economically important agricultural region. To facilitate the on-going trade-off process between competing users of this resource, a decision support system (DSS) is being developed which will enable explicit prediction of the likely response of key features of the riverine environment to proposed flow management scenarios. The DSS is being developed using the RAISON shell (Lam, D.C.L., Mayfield, C.I., Swayne, D.A., Hopkins, K., 1994. A prototype information system for watershed management and planning. Journal of Biological Systems 2 (4), 499–517), and will integrate a range of simple models of riverine ecology which are being developed. These models will include qualitative and quantitative models representing the response of different aspects of the instream and floodplain ecology dependent upon the river flow regime. The DSS will not include a detailed model of river hydrology or hydraulics, but rather, will use the output from the range of such models currently in use in the Basin as inputs to the ecological models. The DSS will also provide a range of tools to allow user-defined evaluation of scenario results, as well as explanations and supporting information to elucidate the ecological modelling.</abstract><qualityIndicators><score>8</score><pdfVersion>1.2</pdfVersion><pdfPageSize>598 x 795 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>4</keywordCount><abstractCharCount>1900</abstractCharCount><pdfWordCount>5117</pdfWordCount><pdfCharCount>30779</pdfCharCount><pdfPageCount>9</pdfPageCount><abstractWordCount>283</abstractWordCount></qualityIndicators><title>Development of an environmental flows decision support system</title><pii><json:string>S1364-8152(00)00012-8</json:string></pii><genre><json:string>research-article</json:string></genre><serie><editor><json:item><name>G.R Walker</name></json:item><json:item><name>I.D Jolly</name></json:item><json:item><name>S.D Jarwal</name></json:item></editor><language><json:string>unknown</json:string></language><title>Salt and Water Movement in the Chowilla Floodplain</title></serie><host><volume>15</volume><pii><json:string>S1364-8152(00)X0015-1</json:string></pii><pages><last>265</last><first>257</first></pages><issn><json:string>1364-8152</json:string></issn><issue>3</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Environmental Modelling and Software</title><publicationDate>2000</publicationDate></host><categories><wos><json:string>science</json:string><json:string>environmental sciences</json:string><json:string>engineering, environmental</json:string><json:string>computer science, interdisciplinary applications</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>engineering</json:string><json:string>environmental engineering</json:string></scienceMetrix></categories><publicationDate>2000</publicationDate><copyrightDate>2000</copyrightDate><doi><json:string>10.1016/S1364-8152(00)00012-8</json:string></doi><id>6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA</id><score>0.045155212</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Development of an environmental flows decision support system</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©2000 Elsevier Science Ltd</p></availability><date>2000</date></publicationStmt><notesStmt><note type="content">Fig. 1: Study area in Australia; imported file of IQQM results and other data; water temperature plot; monthly mean flow plot; zoomed map of the Border River area in Murray-Darling River Basin.</note><note type="content">Fig. 2: Framework for the environmental flow decision support system.</note><note type="content">Fig. 3: Border Rivers map; query interface during execution of rule base; decision tree showing query paths; interface showing entries of parameters and attributes (crisp variables) and their combinations with resulting conclusions.</note><note type="content">Fig. 4: Clockwise from top left: membership function interface; sub-catchment map for Border Rivers area; decision tree structure; parameters and attributes (fuzzy variables) with their combinations and resulting conclusions.</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Development of an environmental flows decision support system</title><author xml:id="author-1"><persName><forename type="first">W.J</forename><surname>Young</surname></persName><affiliation>CSIRO Land and Water, GPO Box 1666, ACT 2601, Canberra, ACT Australia</affiliation><affiliation>Corresponding author</affiliation></author><author xml:id="author-2"><persName><forename type="first">D.C.L</forename><surname>Lam</surname></persName><affiliation>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</affiliation></author><author xml:id="author-3"><persName><forename type="first">V</forename><surname>Ressel</surname></persName><affiliation>Department of Water Management and Hydrology, University of Agricultural Sciences, Vienna, Austria</affiliation></author><author xml:id="author-4"><persName><forename type="first">I.W</forename><surname>Wong</surname></persName><affiliation>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</affiliation></author></analytic><monogr><title level="j">Environmental Modelling and Software</title><title level="j" type="abbrev">ENSO</title><idno type="pISSN">1364-8152</idno><idno type="PII">S1364-8152(00)X0015-1</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000"></date><biblScope unit="volume">15</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="257">257</biblScope><biblScope unit="page" to="265">265</biblScope></imprint></monogr><idno type="istex">6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA</idno><idno type="DOI">10.1016/S1364-8152(00)00012-8</idno><idno type="PII">S1364-8152(00)00012-8</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2000</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The Murray–Darling Basin in Australia is severely environmentally degraded as a result of a range of anthropogenic changes, most notably the regulation and extraction of surface water resources for irrigated agriculture. Environmental problems include eutrophication of rivers and storages, elevated salinity levels, widespread blooms of toxic blue–green algae, decline of native fish and bird populations, and reduction of area of riverine wetlands. Both the community and the government are committed to improving the state of the environment in the Basin, both for it's intrinsic ecological values, and to ensure the sustainability of production in what is Australia's most economically important agricultural region. To facilitate the on-going trade-off process between competing users of this resource, a decision support system (DSS) is being developed which will enable explicit prediction of the likely response of key features of the riverine environment to proposed flow management scenarios. The DSS is being developed using the RAISON shell (Lam, D.C.L., Mayfield, C.I., Swayne, D.A., Hopkins, K., 1994. A prototype information system for watershed management and planning. Journal of Biological Systems 2 (4), 499–517), and will integrate a range of simple models of riverine ecology which are being developed. These models will include qualitative and quantitative models representing the response of different aspects of the instream and floodplain ecology dependent upon the river flow regime. The DSS will not include a detailed model of river hydrology or hydraulics, but rather, will use the output from the range of such models currently in use in the Basin as inputs to the ecological models. The DSS will also provide a range of tools to allow user-defined evaluation of scenario results, as well as explanations and supporting information to elucidate the ecological modelling.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Decision support system</term></item><item><term>Environmental modelling</term></item><item><term>Water management</term></item><item><term>River health</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2000">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>ENSO</jid><aid>1086</aid><ce:pii>S1364-8152(00)00012-8</ce:pii><ce:doi>10.1016/S1364-8152(00)00012-8</ce:doi><ce:copyright type="full-transfer" year="2000">Elsevier Science Ltd</ce:copyright></item-info><head><ce:title>Development of an environmental flows decision support system</ce:title><ce:author-group><ce:author><ce:given-name>W.J</ce:given-name><ce:surname>Young</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>a</ce:sup></ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref></ce:author><ce:author><ce:given-name>D.C.L</ce:given-name><ce:surname>Lam</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>V</ce:given-name><ce:surname>Ressel</ce:surname><ce:cross-ref refid="AFF3"><ce:sup>c</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>I.W</ce:given-name><ce:surname>Wong</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>CSIRO Land and Water, GPO Box 1666, ACT 2601, Canberra, ACT Australia</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</ce:textfn></ce:affiliation><ce:affiliation id="AFF3"><ce:label>c</ce:label><ce:textfn>Department of Water Management and Hydrology, University of Agricultural Sciences, Vienna, Austria</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author</ce:text></ce:correspondence></ce:author-group><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>The Murray–Darling Basin in Australia is severely environmentally degraded as a result of a range of anthropogenic changes, most notably the regulation and extraction of surface water resources for irrigated agriculture. Environmental problems include eutrophication of rivers and storages, elevated salinity levels, widespread blooms of toxic blue–green algae, decline of native fish and bird populations, and reduction of area of riverine wetlands. Both the community and the government are committed to improving the state of the environment in the Basin, both for it's intrinsic ecological values, and to ensure the sustainability of production in what is Australia's most economically important agricultural region. To facilitate the on-going trade-off process between competing users of this resource, a decision support system (DSS) is being developed which will enable explicit prediction of the likely response of key features of the riverine environment to proposed flow management scenarios. The DSS is being developed using the RAISON shell (<ce:cross-ref refid="BIB3">Lam, D.C.L., Mayfield, C.I., Swayne, D.A., Hopkins, K., 1994. A prototype information system for watershed management and planning. Journal of Biological Systems 2 (4), 499–517</ce:cross-ref>), and will integrate a range of simple models of riverine ecology which are being developed. These models will include qualitative and quantitative models representing the response of different aspects of the instream and floodplain ecology dependent upon the river flow regime. The DSS will not include a detailed model of river hydrology or hydraulics, but rather, will use the output from the range of such models currently in use in the Basin as inputs to the ecological models. The DSS will also provide a range of tools to allow user-defined evaluation of scenario results, as well as explanations and supporting information to elucidate the ecological modelling.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Decision support system</ce:text></ce:keyword><ce:keyword><ce:text>Environmental modelling</ce:text></ce:keyword><ce:keyword><ce:text>Water management</ce:text></ce:keyword><ce:keyword><ce:text>River health</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Development of an environmental flows decision support system</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Development of an environmental flows decision support system</title></titleInfo><name type="personal"><namePart type="given">W.J</namePart><namePart type="family">Young</namePart><affiliation>CSIRO Land and Water, GPO Box 1666, ACT 2601, Canberra, ACT Australia</affiliation><affiliation>Corresponding author</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">D.C.L</namePart><namePart type="family">Lam</namePart><affiliation>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">V</namePart><namePart type="family">Ressel</namePart><affiliation>Department of Water Management and Hydrology, University of Agricultural Sciences, Vienna, Austria</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">I.W</namePart><namePart type="family">Wong</namePart><affiliation>National Water Research Institute, Environment Canada, 867 Lakeshore Road, Box 5050, Burlington, Ontario, Canada L7R 4A6</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">2000</dateIssued><copyrightDate encoding="w3cdtf">2000</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">The Murray–Darling Basin in Australia is severely environmentally degraded as a result of a range of anthropogenic changes, most notably the regulation and extraction of surface water resources for irrigated agriculture. Environmental problems include eutrophication of rivers and storages, elevated salinity levels, widespread blooms of toxic blue–green algae, decline of native fish and bird populations, and reduction of area of riverine wetlands. Both the community and the government are committed to improving the state of the environment in the Basin, both for it's intrinsic ecological values, and to ensure the sustainability of production in what is Australia's most economically important agricultural region. To facilitate the on-going trade-off process between competing users of this resource, a decision support system (DSS) is being developed which will enable explicit prediction of the likely response of key features of the riverine environment to proposed flow management scenarios. The DSS is being developed using the RAISON shell (Lam, D.C.L., Mayfield, C.I., Swayne, D.A., Hopkins, K., 1994. A prototype information system for watershed management and planning. Journal of Biological Systems 2 (4), 499–517), and will integrate a range of simple models of riverine ecology which are being developed. These models will include qualitative and quantitative models representing the response of different aspects of the instream and floodplain ecology dependent upon the river flow regime. The DSS will not include a detailed model of river hydrology or hydraulics, but rather, will use the output from the range of such models currently in use in the Basin as inputs to the ecological models. The DSS will also provide a range of tools to allow user-defined evaluation of scenario results, as well as explanations and supporting information to elucidate the ecological modelling.</abstract><note type="content">Fig. 1: Study area in Australia; imported file of IQQM results and other data; water temperature plot; monthly mean flow plot; zoomed map of the Border River area in Murray-Darling River Basin.</note><note type="content">Fig. 2: Framework for the environmental flow decision support system.</note><note type="content">Fig. 3: Border Rivers map; query interface during execution of rule base; decision tree showing query paths; interface showing entries of parameters and attributes (crisp variables) and their combinations with resulting conclusions.</note><note type="content">Fig. 4: Clockwise from top left: membership function interface; sub-catchment map for Border Rivers area; decision tree structure; parameters and attributes (fuzzy variables) with their combinations and resulting conclusions.</note><subject><genre>Keywords</genre><topic>Decision support system</topic><topic>Environmental modelling</topic><topic>Water management</topic><topic>River health</topic></subject><relatedItem type="host"><titleInfo><title>Environmental Modelling and Software</title></titleInfo><titleInfo type="abbreviated"><title>ENSO</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">200003</dateIssued></originInfo><identifier type="ISSN">1364-8152</identifier><identifier type="PII">S1364-8152(00)X0015-1</identifier><part><date>200003</date><detail type="volume"><number>15</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="issue pages"><start>213</start><end>342</end></extent><extent unit="pages"><start>257</start><end>265</end></extent></part></relatedItem><identifier type="istex">6613F9D977DEDC7C87BD89AA77ED9FA6C37F3CCA</identifier><identifier type="DOI">10.1016/S1364-8152(00)00012-8</identifier><identifier type="PII">S1364-8152(00)00012-8</identifier><accessCondition type="use and reproduction" contentType="copyright">©2000 Elsevier Science Ltd</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science Ltd, ©2000</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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