synergistic powers of AEM and GIS geodatabase models in water resources studies

Comprehensive studies of water resources systems require integration of modeling tools and data associated with individual processes. An object-oriented approach is presented here that associates ground water models based upon the analytic element method (AEM) with geographic information system (GIS...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ground water 2006-01, Vol.44 (1), p.56-61
Hauptverfasser: Steward, D.R, Bernard, E.A
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 61
container_issue 1
container_start_page 56
container_title Ground water
container_volume 44
creator Steward, D.R
Bernard, E.A
description Comprehensive studies of water resources systems require integration of modeling tools and data associated with individual processes. An object-oriented approach is presented here that associates ground water models based upon the analytic element method (AEM) with geographic information system (GIS) geodatabase features using an AEM Model Interface. Each aquifer object contains a prescribed geometry, a mathematical representation in the AEM, and GIS hydrogeologic data. The synergistic understanding inherent in such an approach is illustrated by a study linking local AEM model predictions of water elevation with ground water geodatabase objects. This AEM Model Interface provides a key component in establishing a common object-oriented geodatabase modeling approach linking ground water to a variety of natural and social processes.
doi_str_mv 10.1111/j.1745-6584.2005.00172.x
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_29949413</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>29949413</sourcerecordid><originalsourceid>FETCH-LOGICAL-a5722-c806b1397a16bf69fcb6ff8fb836d61d2246f8adff8e3c3fecd799bd8931124d3</originalsourceid><addsrcrecordid>eNqNkU9v0zAYhy0EYmXwFcDiwC3B_-LEBw7VNsKkwQ7bVG6WE7-uUtKksxO1_fY4pBoSl2HJsvX6-b2S3wchTElK4_q8SWkuskRmhUgZIVlKCM1ZeniBFk8PL9FiqiZC5j_P0JsQNoQQroh6jc6oFCQTUi7QbTh24NdNGJoa7_o9-IB7h5dX37HpLC6v7_AaemsGU5kAeNtbaANuOrw3A3jsIfSjryHgMIy2gfAWvXKmDfDudJ6jh69X9xffkpvb8vpieZOYLGcsqQsiK8pVbqisnFSurqRzhasKLq2kljEhXWFsrAGvuYPa5kpVtlCcUiYsP0ef5r473z-OEAa9bUINbWs66MegmVJCCcqfB6dBkCx7FqQil5xkMoIf_wE3cQZd_K1mXBaSFJRGqJih2vcheHB655ut8UdNiZ4c6o2eVOlJlZ4c6j8O9SFG35_6j9UW7N_gSVoEvszAvmnh-N-Ndbla3sdbzCdzPlqHw1Pe-F9a5jzP9OpHGfeqvFRM6svIf5h5Z3pt1r4J-uGOEcoJJdPoFP8NJLrBzg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>236860811</pqid></control><display><type>article</type><title>synergistic powers of AEM and GIS geodatabase models in water resources studies</title><source>MEDLINE</source><source>Wiley Online Library All Journals</source><creator>Steward, D.R ; Bernard, E.A</creator><creatorcontrib>Steward, D.R ; Bernard, E.A</creatorcontrib><description>Comprehensive studies of water resources systems require integration of modeling tools and data associated with individual processes. An object-oriented approach is presented here that associates ground water models based upon the analytic element method (AEM) with geographic information system (GIS) geodatabase features using an AEM Model Interface. Each aquifer object contains a prescribed geometry, a mathematical representation in the AEM, and GIS hydrogeologic data. The synergistic understanding inherent in such an approach is illustrated by a study linking local AEM model predictions of water elevation with ground water geodatabase objects. This AEM Model Interface provides a key component in establishing a common object-oriented geodatabase modeling approach linking ground water to a variety of natural and social processes.</description><identifier>ISSN: 0017-467X</identifier><identifier>EISSN: 1745-6584</identifier><identifier>DOI: 10.1111/j.1745-6584.2005.00172.x</identifier><identifier>PMID: 16405466</identifier><identifier>CODEN: GRWAAP</identifier><language>eng</language><publisher>Malden, USA: Blackwell Science Inc</publisher><subject>analytic element method ; analytic element models ; Analytical chemistry ; aquifers ; Databases, Factual ; Environmental Monitoring ; Finite Element Analysis ; geodatabase models ; Geographic Information Systems ; Geological Phenomena ; Geology ; groundwater flow ; hydrogeology ; hydrologic models ; Kansas ; mathematical models ; Models, Theoretical ; Water Pollutants - analysis ; Water resources ; Water Supply ; water table</subject><ispartof>Ground water, 2006-01, Vol.44 (1), p.56-61</ispartof><rights>2006, National Ground Water Association</rights><rights>Copyright Ground Water Publishing Company Jan 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a5722-c806b1397a16bf69fcb6ff8fb836d61d2246f8adff8e3c3fecd799bd8931124d3</citedby><cites>FETCH-LOGICAL-a5722-c806b1397a16bf69fcb6ff8fb836d61d2246f8adff8e3c3fecd799bd8931124d3</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%2Fj.1745-6584.2005.00172.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1745-6584.2005.00172.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16405466$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Steward, D.R</creatorcontrib><creatorcontrib>Bernard, E.A</creatorcontrib><title>synergistic powers of AEM and GIS geodatabase models in water resources studies</title><title>Ground water</title><addtitle>Ground Water</addtitle><description>Comprehensive studies of water resources systems require integration of modeling tools and data associated with individual processes. An object-oriented approach is presented here that associates ground water models based upon the analytic element method (AEM) with geographic information system (GIS) geodatabase features using an AEM Model Interface. Each aquifer object contains a prescribed geometry, a mathematical representation in the AEM, and GIS hydrogeologic data. The synergistic understanding inherent in such an approach is illustrated by a study linking local AEM model predictions of water elevation with ground water geodatabase objects. This AEM Model Interface provides a key component in establishing a common object-oriented geodatabase modeling approach linking ground water to a variety of natural and social processes.</description><subject>analytic element method</subject><subject>analytic element models</subject><subject>Analytical chemistry</subject><subject>aquifers</subject><subject>Databases, Factual</subject><subject>Environmental Monitoring</subject><subject>Finite Element Analysis</subject><subject>geodatabase models</subject><subject>Geographic Information Systems</subject><subject>Geological Phenomena</subject><subject>Geology</subject><subject>groundwater flow</subject><subject>hydrogeology</subject><subject>hydrologic models</subject><subject>Kansas</subject><subject>mathematical models</subject><subject>Models, Theoretical</subject><subject>Water Pollutants - analysis</subject><subject>Water resources</subject><subject>Water Supply</subject><subject>water table</subject><issn>0017-467X</issn><issn>1745-6584</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU9v0zAYhy0EYmXwFcDiwC3B_-LEBw7VNsKkwQ7bVG6WE7-uUtKksxO1_fY4pBoSl2HJsvX6-b2S3wchTElK4_q8SWkuskRmhUgZIVlKCM1ZeniBFk8PL9FiqiZC5j_P0JsQNoQQroh6jc6oFCQTUi7QbTh24NdNGJoa7_o9-IB7h5dX37HpLC6v7_AaemsGU5kAeNtbaANuOrw3A3jsIfSjryHgMIy2gfAWvXKmDfDudJ6jh69X9xffkpvb8vpieZOYLGcsqQsiK8pVbqisnFSurqRzhasKLq2kljEhXWFsrAGvuYPa5kpVtlCcUiYsP0ef5r473z-OEAa9bUINbWs66MegmVJCCcqfB6dBkCx7FqQil5xkMoIf_wE3cQZd_K1mXBaSFJRGqJih2vcheHB655ut8UdNiZ4c6o2eVOlJlZ4c6j8O9SFG35_6j9UW7N_gSVoEvszAvmnh-N-Ndbla3sdbzCdzPlqHw1Pe-F9a5jzP9OpHGfeqvFRM6svIf5h5Z3pt1r4J-uGOEcoJJdPoFP8NJLrBzg</recordid><startdate>200601</startdate><enddate>200601</enddate><creator>Steward, D.R</creator><creator>Bernard, E.A</creator><general>Blackwell Science Inc</general><general>Ground Water Publishing Company</general><scope>FBQ</scope><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>K9.</scope><scope>L.G</scope><scope>SOI</scope><scope>7TG</scope><scope>KL.</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>200601</creationdate><title>synergistic powers of AEM and GIS geodatabase models in water resources studies</title><author>Steward, D.R ; Bernard, E.A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a5722-c806b1397a16bf69fcb6ff8fb836d61d2246f8adff8e3c3fecd799bd8931124d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>analytic element method</topic><topic>analytic element models</topic><topic>Analytical chemistry</topic><topic>aquifers</topic><topic>Databases, Factual</topic><topic>Environmental Monitoring</topic><topic>Finite Element Analysis</topic><topic>geodatabase models</topic><topic>Geographic Information Systems</topic><topic>Geological Phenomena</topic><topic>Geology</topic><topic>groundwater flow</topic><topic>hydrogeology</topic><topic>hydrologic models</topic><topic>Kansas</topic><topic>mathematical models</topic><topic>Models, Theoretical</topic><topic>Water Pollutants - analysis</topic><topic>Water resources</topic><topic>Water Supply</topic><topic>water table</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Steward, D.R</creatorcontrib><creatorcontrib>Bernard, E.A</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment 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>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Ground water</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Steward, D.R</au><au>Bernard, E.A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>synergistic powers of AEM and GIS geodatabase models in water resources studies</atitle><jtitle>Ground water</jtitle><addtitle>Ground Water</addtitle><date>2006-01</date><risdate>2006</risdate><volume>44</volume><issue>1</issue><spage>56</spage><epage>61</epage><pages>56-61</pages><issn>0017-467X</issn><eissn>1745-6584</eissn><coden>GRWAAP</coden><abstract>Comprehensive studies of water resources systems require integration of modeling tools and data associated with individual processes. An object-oriented approach is presented here that associates ground water models based upon the analytic element method (AEM) with geographic information system (GIS) geodatabase features using an AEM Model Interface. Each aquifer object contains a prescribed geometry, a mathematical representation in the AEM, and GIS hydrogeologic data. The synergistic understanding inherent in such an approach is illustrated by a study linking local AEM model predictions of water elevation with ground water geodatabase objects. This AEM Model Interface provides a key component in establishing a common object-oriented geodatabase modeling approach linking ground water to a variety of natural and social processes.</abstract><cop>Malden, USA</cop><pub>Blackwell Science Inc</pub><pmid>16405466</pmid><doi>10.1111/j.1745-6584.2005.00172.x</doi><tpages>6</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0017-467X
ispartof Ground water, 2006-01, Vol.44 (1), p.56-61
issn 0017-467X
1745-6584
language eng
recordid cdi_proquest_miscellaneous_29949413
source MEDLINE; Wiley Online Library All Journals
subjects analytic element method
analytic element models
Analytical chemistry
aquifers
Databases, Factual
Environmental Monitoring
Finite Element Analysis
geodatabase models
Geographic Information Systems
Geological Phenomena
Geology
groundwater flow
hydrogeology
hydrologic models
Kansas
mathematical models
Models, Theoretical
Water Pollutants - analysis
Water resources
Water Supply
water table
title synergistic powers of AEM and GIS geodatabase models in water resources studies
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T17%3A17%3A23IST&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=synergistic%20powers%20of%20AEM%20and%20GIS%20geodatabase%20models%20in%20water%20resources%20studies&rft.jtitle=Ground%20water&rft.au=Steward,%20D.R&rft.date=2006-01&rft.volume=44&rft.issue=1&rft.spage=56&rft.epage=61&rft.pages=56-61&rft.issn=0017-467X&rft.eissn=1745-6584&rft.coden=GRWAAP&rft_id=info:doi/10.1111/j.1745-6584.2005.00172.x&rft_dat=%3Cproquest_cross%3E29949413%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=236860811&rft_id=info:pmid/16405466&rfr_iscdi=true