A river water quality model integrated with a web-based geographic information system
Scientists often use mathematical models to assess river water quality. However, the application of the models in environmental management and risk assessment is quite limited because of the difficulty of preparing input data and interpreting model output. This paper presents a study that links ArcI...
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Veröffentlicht in: | Journal of environmental management 2005-05, Vol.75 (3), p.219-228 |
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description | Scientists often use mathematical models to assess river water quality. However, the application of the models in environmental management and risk assessment is quite limited because of the difficulty of preparing input data and interpreting model output. This paper presents a study that links ArcIMS, a Web-based Geographic Information System (GIS) software to ROUT, a national and regional scale river model which evolved from the US Environmental Protection Agency's Water Use Improvement and Impairment Model, to create a WWW-GIS-based river simulation model called GIS-ROUT. GIS-ROUT is used to predict chemical concentrations in perennially flowing rivers throughout the continental United States that receive discharges from more than 10,000 publicly owned wastewater treatment plants (WWTPs). The WWTP chemical loadings are calculated from per capita per day disposal of product ingredients and the population served by each plant. Each WWTP, containing data on treatment type and influent and effluent flows, is spatially associated with a specific receiving river segment. Based on user defined treatment-type removal rates for a particular chemical, an effluent concentration for each WWTP is calculated and used as input to the river model. Over 360,000
km of rivers are modeled, incorporating dilution and first order loss of the chemical in each river segment. The integration of spatial data, GIS, the WWW, and modeling in GIS-ROUT makes it possible to organize and analyze data spatially, and view results on interactive maps as well as tables and distribution charts. The integration allows scientists and managers in different locations to coordinate and share their estimations for environmental exposure and risk assessments. |
doi_str_mv | 10.1016/j.jenvman.2004.11.025 |
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km of rivers are modeled, incorporating dilution and first order loss of the chemical in each river segment. The integration of spatial data, GIS, the WWW, and modeling in GIS-ROUT makes it possible to organize and analyze data spatially, and view results on interactive maps as well as tables and distribution charts. The integration allows scientists and managers in different locations to coordinate and share their estimations for environmental exposure and risk assessments.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2004.11.025</identifier><identifier>PMID: 15829364</identifier><identifier>CODEN: JEVMAW</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Animal, plant and microbial ecology ; Applied ecology ; ArcIMS ; Biological and medical sciences ; Chemicals ; Conservation, protection and management of environment and wildlife ; Environmental management ; Environmental Protection Agency ; Fundamental and applied biological sciences. Psychology ; General aspects ; Geographic Information Systems ; Geographical information systems ; hydrologic models ; Internet ; Mathematical models ; Models, Theoretical ; Quality Control ; Risk Assessment ; Risk management ; river water ; Rivers ; Simulation ; simulation models ; U.S.A ; United States ; United States Environmental Protection Agency ; Waste Disposal, Fluid ; Waste management ; wastewater treatment ; Wastewater treatment plants ; Water Movements ; Water Pollutants - analysis ; water pollution ; Water quality ; Water treatment ; Water treatment plants</subject><ispartof>Journal of environmental management, 2005-05, Vol.75 (3), p.219-228</ispartof><rights>2005 Elsevier Ltd</rights><rights>2005 INIST-CNRS</rights><rights>Copyright Academic Press Ltd. May 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c506t-58ef7c82d20644645fbf87821f61d5021328242af5acf17c81f553ec91afdd893</citedby><cites>FETCH-LOGICAL-c506t-58ef7c82d20644645fbf87821f61d5021328242af5acf17c81f553ec91afdd893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0301479705000277$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16694641$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15829364$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Xinhao</creatorcontrib><creatorcontrib>Homer, Mike</creatorcontrib><creatorcontrib>Dyer, Scott D.</creatorcontrib><creatorcontrib>White-Hull, Charlotte</creatorcontrib><creatorcontrib>Du, Changming</creatorcontrib><title>A river water quality model integrated with a web-based geographic information system</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><description>Scientists often use mathematical models to assess river water quality. However, the application of the models in environmental management and risk assessment is quite limited because of the difficulty of preparing input data and interpreting model output. This paper presents a study that links ArcIMS, a Web-based Geographic Information System (GIS) software to ROUT, a national and regional scale river model which evolved from the US Environmental Protection Agency's Water Use Improvement and Impairment Model, to create a WWW-GIS-based river simulation model called GIS-ROUT. GIS-ROUT is used to predict chemical concentrations in perennially flowing rivers throughout the continental United States that receive discharges from more than 10,000 publicly owned wastewater treatment plants (WWTPs). The WWTP chemical loadings are calculated from per capita per day disposal of product ingredients and the population served by each plant. Each WWTP, containing data on treatment type and influent and effluent flows, is spatially associated with a specific receiving river segment. Based on user defined treatment-type removal rates for a particular chemical, an effluent concentration for each WWTP is calculated and used as input to the river model. Over 360,000
km of rivers are modeled, incorporating dilution and first order loss of the chemical in each river segment. The integration of spatial data, GIS, the WWW, and modeling in GIS-ROUT makes it possible to organize and analyze data spatially, and view results on interactive maps as well as tables and distribution charts. The integration allows scientists and managers in different locations to coordinate and share their estimations for environmental exposure and risk assessments.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>ArcIMS</subject><subject>Biological and medical sciences</subject><subject>Chemicals</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Environmental management</subject><subject>Environmental Protection Agency</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Geographic Information Systems</subject><subject>Geographical information systems</subject><subject>hydrologic models</subject><subject>Internet</subject><subject>Mathematical models</subject><subject>Models, Theoretical</subject><subject>Quality Control</subject><subject>Risk Assessment</subject><subject>Risk management</subject><subject>river water</subject><subject>Rivers</subject><subject>Simulation</subject><subject>simulation models</subject><subject>U.S.A</subject><subject>United States</subject><subject>United States Environmental Protection Agency</subject><subject>Waste Disposal, Fluid</subject><subject>Waste management</subject><subject>wastewater treatment</subject><subject>Wastewater treatment plants</subject><subject>Water Movements</subject><subject>Water Pollutants - analysis</subject><subject>water pollution</subject><subject>Water quality</subject><subject>Water treatment</subject><subject>Water treatment plants</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0c-L3CAUB3ApLd3ptn9C21Bob0l9JprktCxLf8FCD-2cxTHPWUMSZ9XMMP99DRNY6GUvCvpR3ntfQt4DLYCC-NoXPU7HUU0Fo7QqAArK-AuyAdryvBElfUk2tKSQV3VbX5E3IfSU0pJB_ZpcAW9YW4pqQ7a3mbdH9NlJxbQ-zmqw8ZyNrsMhs1PEvU8XXXay8SFT2Ql3-U6FdLBHl64OD1YnZpwfVbRuysI5RBzfkldGDQHfrfs12X7_9vfuZ37_-8evu9v7XHMqYs4bNLVuWMeoqCpRcbMzTd0wMAI6ThmUrGEVU4YrbSBJMJyXqFtQpuuatrwmXy7_Hrx7nDFEOdqgcRjUhG4OMrVYM8HEsxDaCqAUkOCn_2DvZj-lJpLhgtWCLohfkPYuBI9GHrwdlT9LoHJJR_ZyTUcu6UgAmdJJ7z6sn8-7EbunV2scCXxegQpaDcarSdvw5IRo05iWAj5enFFOqr1PZvuHpcoorTkAXyZzcxGYxn-06GXQFieNnfWoo-ycfabYf9cIuGs</recordid><startdate>20050501</startdate><enddate>20050501</enddate><creator>Wang, Xinhao</creator><creator>Homer, Mike</creator><creator>Dyer, Scott D.</creator><creator>White-Hull, Charlotte</creator><creator>Du, Changming</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Academic Press Ltd</general><scope>FBQ</scope><scope>IQODW</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>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H97</scope><scope>JBE</scope><scope>L.G</scope><scope>SOI</scope><scope>7TV</scope></search><sort><creationdate>20050501</creationdate><title>A river water quality model integrated with a web-based geographic information system</title><author>Wang, Xinhao ; Homer, Mike ; Dyer, Scott D. ; White-Hull, Charlotte ; Du, Changming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c506t-58ef7c82d20644645fbf87821f61d5021328242af5acf17c81f553ec91afdd893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>ArcIMS</topic><topic>Biological and medical sciences</topic><topic>Chemicals</topic><topic>Conservation, protection and management of environment and wildlife</topic><topic>Environmental management</topic><topic>Environmental Protection Agency</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Geographic Information Systems</topic><topic>Geographical information systems</topic><topic>hydrologic models</topic><topic>Internet</topic><topic>Mathematical models</topic><topic>Models, Theoretical</topic><topic>Quality Control</topic><topic>Risk Assessment</topic><topic>Risk management</topic><topic>river water</topic><topic>Rivers</topic><topic>Simulation</topic><topic>simulation models</topic><topic>U.S.A</topic><topic>United States</topic><topic>United States Environmental Protection Agency</topic><topic>Waste Disposal, Fluid</topic><topic>Waste management</topic><topic>wastewater treatment</topic><topic>Wastewater treatment plants</topic><topic>Water Movements</topic><topic>Water Pollutants - analysis</topic><topic>water pollution</topic><topic>Water quality</topic><topic>Water treatment</topic><topic>Water treatment plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xinhao</creatorcontrib><creatorcontrib>Homer, Mike</creatorcontrib><creatorcontrib>Dyer, Scott D.</creatorcontrib><creatorcontrib>White-Hull, Charlotte</creatorcontrib><creatorcontrib>Du, Changming</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</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>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xinhao</au><au>Homer, Mike</au><au>Dyer, Scott D.</au><au>White-Hull, Charlotte</au><au>Du, Changming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A river water quality model integrated with a web-based geographic information system</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2005-05-01</date><risdate>2005</risdate><volume>75</volume><issue>3</issue><spage>219</spage><epage>228</epage><pages>219-228</pages><issn>0301-4797</issn><eissn>1095-8630</eissn><coden>JEVMAW</coden><abstract>Scientists often use mathematical models to assess river water quality. However, the application of the models in environmental management and risk assessment is quite limited because of the difficulty of preparing input data and interpreting model output. This paper presents a study that links ArcIMS, a Web-based Geographic Information System (GIS) software to ROUT, a national and regional scale river model which evolved from the US Environmental Protection Agency's Water Use Improvement and Impairment Model, to create a WWW-GIS-based river simulation model called GIS-ROUT. GIS-ROUT is used to predict chemical concentrations in perennially flowing rivers throughout the continental United States that receive discharges from more than 10,000 publicly owned wastewater treatment plants (WWTPs). The WWTP chemical loadings are calculated from per capita per day disposal of product ingredients and the population served by each plant. Each WWTP, containing data on treatment type and influent and effluent flows, is spatially associated with a specific receiving river segment. Based on user defined treatment-type removal rates for a particular chemical, an effluent concentration for each WWTP is calculated and used as input to the river model. Over 360,000
km of rivers are modeled, incorporating dilution and first order loss of the chemical in each river segment. The integration of spatial data, GIS, the WWW, and modeling in GIS-ROUT makes it possible to organize and analyze data spatially, and view results on interactive maps as well as tables and distribution charts. The integration allows scientists and managers in different locations to coordinate and share their estimations for environmental exposure and risk assessments.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><pmid>15829364</pmid><doi>10.1016/j.jenvman.2004.11.025</doi><tpages>10</tpages></addata></record> |
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subjects | Animal, plant and microbial ecology Applied ecology ArcIMS Biological and medical sciences Chemicals Conservation, protection and management of environment and wildlife Environmental management Environmental Protection Agency Fundamental and applied biological sciences. Psychology General aspects Geographic Information Systems Geographical information systems hydrologic models Internet Mathematical models Models, Theoretical Quality Control Risk Assessment Risk management river water Rivers Simulation simulation models U.S.A United States United States Environmental Protection Agency Waste Disposal, Fluid Waste management wastewater treatment Wastewater treatment plants Water Movements Water Pollutants - analysis water pollution Water quality Water treatment Water treatment plants |
title | A river water quality model integrated with a web-based geographic information system |
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