A water quality monitoring network design methodology for the selection of critical sampling points: part II.
Identifieur interne : 000370 ( PubMed/Checkpoint ); précédent : 000369; suivant : 000371A water quality monitoring network design methodology for the selection of critical sampling points: part II.
Auteurs : R O Strobl [Pays-Bas] ; P D Robillard ; R L Day ; R D Shannon ; A J McdonnellSource :
- Environmental monitoring and assessment [ 0167-6369 ] ; 2006.
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Abstract
In order to resolve the spatial component of the design of a water quality monitoring network, a methodology has been developed to identify the critical sampling locations within a watershed. This methodology, called Critical Sampling Points (CSP), focuses on the contaminant total phosphorus (TP), and is applicable to small, predominantly agricultural-forested watersheds. The CSP methodology was translated into a model, called Water Quality Monitoring Station Analysis (WQMSA). It incorporates a geographic information system (GIS) for spatial analysis and data manipulation purposes, a hydrologic/water quality simulation model for estimating TP loads, and an artificial intelligence technology for improved input data representation. The model input data include a number of hydrologic, topographic, soils, vegetative, and land use factors. The model also includes an economic and logistics component. The validity of the CSP methodology was tested on a small experimental Pennsylvanian watershed, for which TP data from a number of single storm events were available for various sampling points within the watershed. A comparison of the ratios of observed to predicted TP loads between sampling points revealed that the model's results were promising.
DOI: 10.1007/s10661-006-0358-4
PubMed: 16502278
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This methodology, called Critical Sampling Points (CSP), focuses on the contaminant total phosphorus (TP), and is applicable to small, predominantly agricultural-forested watersheds. The CSP methodology was translated into a model, called Water Quality Monitoring Station Analysis (WQMSA). It incorporates a geographic information system (GIS) for spatial analysis and data manipulation purposes, a hydrologic/water quality simulation model for estimating TP loads, and an artificial intelligence technology for improved input data representation. The model input data include a number of hydrologic, topographic, soils, vegetative, and land use factors. The model also includes an economic and logistics component. The validity of the CSP methodology was tested on a small experimental Pennsylvanian watershed, for which TP data from a number of single storm events were available for various sampling points within the watershed. A comparison of the ratios of observed to predicted TP loads between sampling points revealed that the model's results were promising.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16502278</PMID><DateCreated><Year>2006</Year><Month>11</Month><Day>02</Day></DateCreated><DateCompleted><Year>2007</Year><Month>03</Month><Day>13</Day></DateCompleted><DateRevised><Year>2009</Year><Month>05</Month><Day>11</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0167-6369</ISSN><JournalIssue CitedMedium="Print"><Volume>122</Volume><Issue>1-3</Issue><PubDate><Year>2006</Year><Month>Nov</Month></PubDate></JournalIssue><Title>Environmental monitoring and assessment</Title><ISOAbbreviation>Environ Monit Assess</ISOAbbreviation></Journal><ArticleTitle>A water quality monitoring network design methodology for the selection of critical sampling points: part II.</ArticleTitle><Pagination><MedlinePgn>319-34</MedlinePgn></Pagination><Abstract><AbstractText>In order to resolve the spatial component of the design of a water quality monitoring network, a methodology has been developed to identify the critical sampling locations within a watershed. This methodology, called Critical Sampling Points (CSP), focuses on the contaminant total phosphorus (TP), and is applicable to small, predominantly agricultural-forested watersheds. The CSP methodology was translated into a model, called Water Quality Monitoring Station Analysis (WQMSA). It incorporates a geographic information system (GIS) for spatial analysis and data manipulation purposes, a hydrologic/water quality simulation model for estimating TP loads, and an artificial intelligence technology for improved input data representation. The model input data include a number of hydrologic, topographic, soils, vegetative, and land use factors. The model also includes an economic and logistics component. The validity of the CSP methodology was tested on a small experimental Pennsylvanian watershed, for which TP data from a number of single storm events were available for various sampling points within the watershed. A comparison of the ratios of observed to predicted TP loads between sampling points revealed that the model's results were promising.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Strobl</LastName><ForeName>R O</ForeName><Initials>RO</Initials><AffiliationInfo><Affiliation>Water Resources Department, Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands. rostrobl@yahoo.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Robillard</LastName><ForeName>P D</ForeName><Initials>PD</Initials></Author><Author ValidYN="Y"><LastName>Day</LastName><ForeName>R L</ForeName><Initials>RL</Initials></Author><Author ValidYN="Y"><LastName>Shannon</LastName><ForeName>R D</ForeName><Initials>RD</Initials></Author><Author ValidYN="Y"><LastName>McDonnell</LastName><ForeName>A J</ForeName><Initials>AJ</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2006</Year><Month>02</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Environ Monit Assess</MedlineTA><NlmUniqueID>8508350</NlmUniqueID><ISSNLinking>0167-6369</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="Y">Environmental Monitoring</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012107" MajorTopicYN="Y">Research Design</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014876" MajorTopicYN="Y">Water Pollution</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2004</Year><Month>07</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2005</Year><Month>01</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2006</Year><Month>2</Month><Day>28</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2007</Year><Month>3</Month><Day>14</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2006</Year><Month>2</Month><Day>28</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">16502278</ArticleId><ArticleId IdType="doi">10.1007/s10661-006-0358-4</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Pays-Bas</li></country></list><tree><noCountry><name sortKey="Day, R L" sort="Day, R L" uniqKey="Day R" first="R L" last="Day">R L Day</name><name sortKey="Mcdonnell, A J" sort="Mcdonnell, A J" uniqKey="Mcdonnell A" first="A J" last="Mcdonnell">A J Mcdonnell</name><name sortKey="Robillard, P D" sort="Robillard, P D" uniqKey="Robillard P" first="P D" last="Robillard">P D Robillard</name><name sortKey="Shannon, R D" sort="Shannon, R D" uniqKey="Shannon R" first="R D" last="Shannon">R D Shannon</name></noCountry><country name="Pays-Bas"><noRegion><name sortKey="Strobl, R O" sort="Strobl, R O" uniqKey="Strobl R" first="R O" last="Strobl">R O Strobl</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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