Linking land cover and water quality in New York City's water supply watersheds.
Identifieur interne : 000403 ( PubMed/Corpus ); précédent : 000402; suivant : 000404Linking land cover and water quality in New York City's water supply watersheds.
Auteurs : M H Mehaffey ; M S Nash ; T G Wade ; D W Ebert ; K B Jones ; A. RagerSource :
- Environmental monitoring and assessment [ 0167-6369 ] ; 2005.
English descriptors
- KwdEn :
- Agriculture, Ecosystem, Enterobacteriaceae (growth & development), Enterobacteriaceae (isolation & purification), Environmental Monitoring, Feces (microbiology), Fertilizers, New York City, Nitrogen (analysis), Phosphorus (analysis), Quality Control, Regression Analysis, Risk Assessment, Satellite Communications, Waste Management (economics), Waste Management (methods), Water Pollutants (analysis), Water Supply (analysis).
- MESH :
- chemical , analysis : Nitrogen, Phosphorus, Water Pollutants.
- chemical : Fertilizers.
- geographic : New York City.
- analysis : Water Supply.
- economics : Waste Management.
- growth & development : Enterobacteriaceae.
- isolation & purification : Enterobacteriaceae.
- methods : Waste Management.
- microbiology : Feces.
- Agriculture, Ecosystem, Environmental Monitoring, Quality Control, Regression Analysis, Risk Assessment, Satellite Communications.
Abstract
The Catskill/Delaware reservoirs supply 90% of New York City's drinking water. The City has implemented a series of watershed protection measures, including land acquisition, aimed at preserving water quality in the Catskill/Delaware watersheds. The objective of this study was to examine how relationships between landscape and surface water measurements change between years. Thirty-two drainage areas delineated from surface water sample points (total nitrogen, total phosphorus, and fecal coliform bacteria concentrations) were used in step-wise regression analyses to test landscape and surface-water quality relationships. Two measurements of land use, percent agriculture and percent urban development, were positively related to water quality and consistently present in all regression models. Together these two land uses explained 25 to 75% of the regression model variation. However, the contribution of agriculture to water quality condition showed a decreasing trend with time as overall agricultural land cover decreased. Results from this study demonstrate that relationships between land cover and surface water concentrations of total nitrogen, total phosphorus, and fecal coliform bacteria counts over a large area can be evaluated using a relatively simple geographic information system method. Land managers may find this method useful for targeting resources in relation to a particular water quality concern, focusing best management efforts, and maximizing benefits to water quality with minimal costs.
DOI: 10.1007/s10661-005-2018-5
PubMed: 16418903
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pubmed:16418903Le document en format XML
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Rager</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2005">2005</date><idno type="RBID">pubmed:16418903</idno><idno type="pmid">16418903</idno><idno type="doi">10.1007/s10661-005-2018-5</idno><idno type="wicri:Area/PubMed/Corpus">000403</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000403</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Linking land cover and water quality in New York City's water supply watersheds.</title><author><name sortKey="Mehaffey, M H" sort="Mehaffey, M H" uniqKey="Mehaffey M" first="M H" last="Mehaffey">M H Mehaffey</name><affiliation><nlm:affiliation>Environmental Sciences Division, U.S. Enviromental Protection Agency, Research Triangle Park, North Carolina, USA. mehaffey.megan@epa.gov</nlm:affiliation></affiliation></author><author><name sortKey="Nash, M S" sort="Nash, M S" uniqKey="Nash M" first="M S" last="Nash">M S Nash</name></author><author><name sortKey="Wade, T G" sort="Wade, T G" uniqKey="Wade T" first="T G" last="Wade">T G Wade</name></author><author><name sortKey="Ebert, D W" sort="Ebert, D W" uniqKey="Ebert D" first="D W" last="Ebert">D W Ebert</name></author><author><name sortKey="Jones, K B" sort="Jones, K B" uniqKey="Jones K" first="K B" last="Jones">K B Jones</name></author><author><name sortKey="Rager, A" sort="Rager, A" uniqKey="Rager A" first="A" last="Rager">A. Rager</name></author></analytic><series><title level="j">Environmental monitoring and assessment</title><idno type="ISSN">0167-6369</idno><imprint><date when="2005" type="published">2005</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture</term><term>Ecosystem</term><term>Enterobacteriaceae (growth & development)</term><term>Enterobacteriaceae (isolation & purification)</term><term>Environmental Monitoring</term><term>Feces (microbiology)</term><term>Fertilizers</term><term>New York City</term><term>Nitrogen (analysis)</term><term>Phosphorus (analysis)</term><term>Quality Control</term><term>Regression Analysis</term><term>Risk Assessment</term><term>Satellite Communications</term><term>Waste Management (economics)</term><term>Waste Management (methods)</term><term>Water Pollutants (analysis)</term><term>Water Supply (analysis)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Nitrogen</term><term>Phosphorus</term><term>Water Pollutants</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Fertilizers</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>New York City</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Water Supply</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Waste Management</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Enterobacteriaceae</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Enterobacteriaceae</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Waste Management</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Feces</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Agriculture</term><term>Ecosystem</term><term>Environmental Monitoring</term><term>Quality Control</term><term>Regression Analysis</term><term>Risk Assessment</term><term>Satellite Communications</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The Catskill/Delaware reservoirs supply 90% of New York City's drinking water. The City has implemented a series of watershed protection measures, including land acquisition, aimed at preserving water quality in the Catskill/Delaware watersheds. The objective of this study was to examine how relationships between landscape and surface water measurements change between years. Thirty-two drainage areas delineated from surface water sample points (total nitrogen, total phosphorus, and fecal coliform bacteria concentrations) were used in step-wise regression analyses to test landscape and surface-water quality relationships. Two measurements of land use, percent agriculture and percent urban development, were positively related to water quality and consistently present in all regression models. Together these two land uses explained 25 to 75% of the regression model variation. However, the contribution of agriculture to water quality condition showed a decreasing trend with time as overall agricultural land cover decreased. Results from this study demonstrate that relationships between land cover and surface water concentrations of total nitrogen, total phosphorus, and fecal coliform bacteria counts over a large area can be evaluated using a relatively simple geographic information system method. Land managers may find this method useful for targeting resources in relation to a particular water quality concern, focusing best management efforts, and maximizing benefits to water quality with minimal costs.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16418903</PMID><DateCreated><Year>2006</Year><Month>01</Month><Day>19</Day></DateCreated><DateCompleted><Year>2006</Year><Month>03</Month><Day>08</Day></DateCompleted><DateRevised><Year>2013</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0167-6369</ISSN><JournalIssue CitedMedium="Print"><Volume>107</Volume><Issue>1-3</Issue><PubDate><Year>2005</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Environmental monitoring and assessment</Title><ISOAbbreviation>Environ Monit Assess</ISOAbbreviation></Journal><ArticleTitle>Linking land cover and water quality in New York City's water supply watersheds.</ArticleTitle><Pagination><MedlinePgn>29-44</MedlinePgn></Pagination><Abstract><AbstractText>The Catskill/Delaware reservoirs supply 90% of New York City's drinking water. The City has implemented a series of watershed protection measures, including land acquisition, aimed at preserving water quality in the Catskill/Delaware watersheds. The objective of this study was to examine how relationships between landscape and surface water measurements change between years. Thirty-two drainage areas delineated from surface water sample points (total nitrogen, total phosphorus, and fecal coliform bacteria concentrations) were used in step-wise regression analyses to test landscape and surface-water quality relationships. Two measurements of land use, percent agriculture and percent urban development, were positively related to water quality and consistently present in all regression models. Together these two land uses explained 25 to 75% of the regression model variation. However, the contribution of agriculture to water quality condition showed a decreasing trend with time as overall agricultural land cover decreased. Results from this study demonstrate that relationships between land cover and surface water concentrations of total nitrogen, total phosphorus, and fecal coliform bacteria counts over a large area can be evaluated using a relatively simple geographic information system method. Land managers may find this method useful for targeting resources in relation to a particular water quality concern, focusing best management efforts, and maximizing benefits to water quality with minimal costs.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mehaffey</LastName><ForeName>M H</ForeName><Initials>MH</Initials><AffiliationInfo><Affiliation>Environmental Sciences Division, U.S. Enviromental Protection Agency, Research Triangle Park, North Carolina, USA. mehaffey.megan@epa.gov</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nash</LastName><ForeName>M S</ForeName><Initials>MS</Initials></Author><Author ValidYN="Y"><LastName>Wade</LastName><ForeName>T G</ForeName><Initials>TG</Initials></Author><Author ValidYN="Y"><LastName>Ebert</LastName><ForeName>D W</ForeName><Initials>DW</Initials></Author><Author ValidYN="Y"><LastName>Jones</LastName><ForeName>K B</ForeName><Initials>KB</Initials></Author><Author 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MajorTopicYN="N">Fertilizers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009519" MajorTopicYN="N" Type="Geographic">New York City</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009584" MajorTopicYN="N">Nitrogen</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010758" MajorTopicYN="N">Phosphorus</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011786" MajorTopicYN="N">Quality Control</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017215" MajorTopicYN="N">Satellite Communications</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018505" 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