A practical demonstration in modelling diclofenac and propranolol river water concentrations using a GIS hydrology model in a rural UK catchment
An existing GIS hydrology water quality model, LF2000-WQX, was applied to predict the concentrations of the pharmaceuticals diclofenac and propranalol in catchments. As a practical exercise the predominantly rural Tamar (UK) catchment was chosen. Consumption, excretion, and fate data were used to es...
Gespeichert in:
Veröffentlicht in: | Environmental pollution (1987) 2007-03, Vol.146 (1), p.155-165 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 165 |
---|---|
container_issue | 1 |
container_start_page | 155 |
container_title | Environmental pollution (1987) |
container_volume | 146 |
creator | Johnson, A.C. Keller, V. Williams, R.J. Young, A. |
description | An existing GIS hydrology water quality model, LF2000-WQX, was applied to predict the concentrations of the pharmaceuticals diclofenac and propranalol in catchments. As a practical exercise the predominantly rural Tamar (UK) catchment was chosen. Consumption, excretion, and fate data were used to estimate the pharmaceutical input load for the model. The predicted concentrations throughout most of the catchment were 1
ng/L or less under low flow (90th percentile) conditions. However, at a few locations, downstream of small sewage treatment plants, concentrations above 25
ng/L were predicted. This exercise shows that it is relatively straightforward to predict the concentrations of new and emerging organic microcontaminants in real catchments using existing GIS hydrology water quality models. Further testing will be required to establish their accuracy.
A GIS hydrology model was used to predict pharmaceutical concentration hot spots in a rural catchment. |
doi_str_mv | 10.1016/j.envpol.2006.05.037 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_20195306</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0269749106003848</els_id><sourcerecordid>14799896</sourcerecordid><originalsourceid>FETCH-LOGICAL-c507t-d8e343375227466efc5845b862bacd1ee577a347373075f347fcf504e53dcad53</originalsourceid><addsrcrecordid>eNqFkcFu1DAURSMEokPhDxB4A7sJz7EdJxukqoJSUYlFmbXlsZ2pR4k92Mmg-Qs-mRcyUnd0Y3tx7n2-7xbFWwolBVp_2pcuHA-xLyuAugRRApPPihVtJFvXvOLPixVUdbuWvKUXxauc9wDAGWMviwtatyCqSqyKP1fkkLQZvdE9sW6IIY9Jjz4G4gMZonV978OOWG_62LmgDdHBoiaiLMQ-9iT5o0vktx7xNDEYF84OmUx51mpyc3tPHk42Ib87La6zvSZpSjh3850YPZqHAaWvixed7rN7c74vi83XLz-vv63vftzcXl_drY0AOa5t4xiGkZhC8rp2nRENF9umrrbaWOqckFIzLplkIEWHr850ArgTzBptBbssPi6-GOXX5PKoBp8NptXBxSmrCmgrGNRPgog1uHr6NMhl2zbt7MgX0KSYc3KdOiQ_6HRSFNTcrdqrpVs1d6tAKByAsndn_2k7OPsoOpeJwIczoDPW2WFBxudHrhFUyn-J3i9cp6PSu4TM5h7zMsBVAYcKic8L4bCBo3dJZeMdVmt9cmZUNvr___UvzPvPMA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>14799896</pqid></control><display><type>article</type><title>A practical demonstration in modelling diclofenac and propranolol river water concentrations using a GIS hydrology model in a rural UK catchment</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Johnson, A.C. ; Keller, V. ; Williams, R.J. ; Young, A.</creator><creatorcontrib>Johnson, A.C. ; Keller, V. ; Williams, R.J. ; Young, A.</creatorcontrib><description>An existing GIS hydrology water quality model, LF2000-WQX, was applied to predict the concentrations of the pharmaceuticals diclofenac and propranalol in catchments. As a practical exercise the predominantly rural Tamar (UK) catchment was chosen. Consumption, excretion, and fate data were used to estimate the pharmaceutical input load for the model. The predicted concentrations throughout most of the catchment were 1
ng/L or less under low flow (90th percentile) conditions. However, at a few locations, downstream of small sewage treatment plants, concentrations above 25
ng/L were predicted. This exercise shows that it is relatively straightforward to predict the concentrations of new and emerging organic microcontaminants in real catchments using existing GIS hydrology water quality models. Further testing will be required to establish their accuracy.
A GIS hydrology model was used to predict pharmaceutical concentration hot spots in a rural catchment.</description><identifier>ISSN: 0269-7491</identifier><identifier>EISSN: 1873-6424</identifier><identifier>DOI: 10.1016/j.envpol.2006.05.037</identifier><identifier>PMID: 16905225</identifier><identifier>CODEN: ENVPAF</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Applied sciences ; chemical concentration ; Computer Simulation ; Continental surface waters ; diclofenac ; Diclofenac - analysis ; drugs ; Earth sciences ; Earth, ocean, space ; Effluent ; Engineering and environment geology. Geothermics ; Environmental Monitoring - methods ; Exact sciences and technology ; Freshwater ; Geographic Information Systems ; hydrologic models ; Models, Theoretical ; Natural water pollution ; Pharmaceuticals ; Pollution ; pollution load ; Pollution, environment geology ; prediction ; propranolol ; Propranolol - analysis ; river water ; Rivers ; Rural ; rural areas ; Sewage ; sewage treatment ; simulation models ; Tamar ; United Kingdom ; Water Movements ; Water Pollutants, Chemical - analysis ; water pollution ; Water Purification ; Water treatment and pollution ; watershed hydrology ; watersheds</subject><ispartof>Environmental pollution (1987), 2007-03, Vol.146 (1), p.155-165</ispartof><rights>2006 Elsevier Ltd</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c507t-d8e343375227466efc5845b862bacd1ee577a347373075f347fcf504e53dcad53</citedby><cites>FETCH-LOGICAL-c507t-d8e343375227466efc5845b862bacd1ee577a347373075f347fcf504e53dcad53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.envpol.2006.05.037$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18517706$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16905225$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Johnson, A.C.</creatorcontrib><creatorcontrib>Keller, V.</creatorcontrib><creatorcontrib>Williams, R.J.</creatorcontrib><creatorcontrib>Young, A.</creatorcontrib><title>A practical demonstration in modelling diclofenac and propranolol river water concentrations using a GIS hydrology model in a rural UK catchment</title><title>Environmental pollution (1987)</title><addtitle>Environ Pollut</addtitle><description>An existing GIS hydrology water quality model, LF2000-WQX, was applied to predict the concentrations of the pharmaceuticals diclofenac and propranalol in catchments. As a practical exercise the predominantly rural Tamar (UK) catchment was chosen. Consumption, excretion, and fate data were used to estimate the pharmaceutical input load for the model. The predicted concentrations throughout most of the catchment were 1
ng/L or less under low flow (90th percentile) conditions. However, at a few locations, downstream of small sewage treatment plants, concentrations above 25
ng/L were predicted. This exercise shows that it is relatively straightforward to predict the concentrations of new and emerging organic microcontaminants in real catchments using existing GIS hydrology water quality models. Further testing will be required to establish their accuracy.
A GIS hydrology model was used to predict pharmaceutical concentration hot spots in a rural catchment.</description><subject>Applied sciences</subject><subject>chemical concentration</subject><subject>Computer Simulation</subject><subject>Continental surface waters</subject><subject>diclofenac</subject><subject>Diclofenac - analysis</subject><subject>drugs</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Effluent</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Environmental Monitoring - methods</subject><subject>Exact sciences and technology</subject><subject>Freshwater</subject><subject>Geographic Information Systems</subject><subject>hydrologic models</subject><subject>Models, Theoretical</subject><subject>Natural water pollution</subject><subject>Pharmaceuticals</subject><subject>Pollution</subject><subject>pollution load</subject><subject>Pollution, environment geology</subject><subject>prediction</subject><subject>propranolol</subject><subject>Propranolol - analysis</subject><subject>river water</subject><subject>Rivers</subject><subject>Rural</subject><subject>rural areas</subject><subject>Sewage</subject><subject>sewage treatment</subject><subject>simulation models</subject><subject>Tamar</subject><subject>United Kingdom</subject><subject>Water Movements</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>water pollution</subject><subject>Water Purification</subject><subject>Water treatment and pollution</subject><subject>watershed hydrology</subject><subject>watersheds</subject><issn>0269-7491</issn><issn>1873-6424</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcFu1DAURSMEokPhDxB4A7sJz7EdJxukqoJSUYlFmbXlsZ2pR4k92Mmg-Qs-mRcyUnd0Y3tx7n2-7xbFWwolBVp_2pcuHA-xLyuAugRRApPPihVtJFvXvOLPixVUdbuWvKUXxauc9wDAGWMviwtatyCqSqyKP1fkkLQZvdE9sW6IIY9Jjz4G4gMZonV978OOWG_62LmgDdHBoiaiLMQ-9iT5o0vktx7xNDEYF84OmUx51mpyc3tPHk42Ib87La6zvSZpSjh3850YPZqHAaWvixed7rN7c74vi83XLz-vv63vftzcXl_drY0AOa5t4xiGkZhC8rp2nRENF9umrrbaWOqckFIzLplkIEWHr850ArgTzBptBbssPi6-GOXX5PKoBp8NptXBxSmrCmgrGNRPgog1uHr6NMhl2zbt7MgX0KSYc3KdOiQ_6HRSFNTcrdqrpVs1d6tAKByAsndn_2k7OPsoOpeJwIczoDPW2WFBxudHrhFUyn-J3i9cp6PSu4TM5h7zMsBVAYcKic8L4bCBo3dJZeMdVmt9cmZUNvr___UvzPvPMA</recordid><startdate>20070301</startdate><enddate>20070301</enddate><creator>Johnson, A.C.</creator><creator>Keller, V.</creator><creator>Williams, R.J.</creator><creator>Young, A.</creator><general>Elsevier Ltd</general><general>Elsevier</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>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7QH</scope><scope>7TG</scope><scope>7TV</scope><scope>7U6</scope><scope>7U7</scope><scope>7UA</scope><scope>F1W</scope><scope>H97</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20070301</creationdate><title>A practical demonstration in modelling diclofenac and propranolol river water concentrations using a GIS hydrology model in a rural UK catchment</title><author>Johnson, A.C. ; Keller, V. ; Williams, R.J. ; Young, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507t-d8e343375227466efc5845b862bacd1ee577a347373075f347fcf504e53dcad53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Applied sciences</topic><topic>chemical concentration</topic><topic>Computer Simulation</topic><topic>Continental surface waters</topic><topic>diclofenac</topic><topic>Diclofenac - analysis</topic><topic>drugs</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Effluent</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Environmental Monitoring - methods</topic><topic>Exact sciences and technology</topic><topic>Freshwater</topic><topic>Geographic Information Systems</topic><topic>hydrologic models</topic><topic>Models, Theoretical</topic><topic>Natural water pollution</topic><topic>Pharmaceuticals</topic><topic>Pollution</topic><topic>pollution load</topic><topic>Pollution, environment geology</topic><topic>prediction</topic><topic>propranolol</topic><topic>Propranolol - analysis</topic><topic>river water</topic><topic>Rivers</topic><topic>Rural</topic><topic>rural areas</topic><topic>Sewage</topic><topic>sewage treatment</topic><topic>simulation models</topic><topic>Tamar</topic><topic>United Kingdom</topic><topic>Water Movements</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>water pollution</topic><topic>Water Purification</topic><topic>Water treatment and pollution</topic><topic>watershed hydrology</topic><topic>watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Johnson, A.C.</creatorcontrib><creatorcontrib>Keller, V.</creatorcontrib><creatorcontrib>Williams, R.J.</creatorcontrib><creatorcontrib>Young, A.</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>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Environmental pollution (1987)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Johnson, A.C.</au><au>Keller, V.</au><au>Williams, R.J.</au><au>Young, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A practical demonstration in modelling diclofenac and propranolol river water concentrations using a GIS hydrology model in a rural UK catchment</atitle><jtitle>Environmental pollution (1987)</jtitle><addtitle>Environ Pollut</addtitle><date>2007-03-01</date><risdate>2007</risdate><volume>146</volume><issue>1</issue><spage>155</spage><epage>165</epage><pages>155-165</pages><issn>0269-7491</issn><eissn>1873-6424</eissn><coden>ENVPAF</coden><abstract>An existing GIS hydrology water quality model, LF2000-WQX, was applied to predict the concentrations of the pharmaceuticals diclofenac and propranalol in catchments. As a practical exercise the predominantly rural Tamar (UK) catchment was chosen. Consumption, excretion, and fate data were used to estimate the pharmaceutical input load for the model. The predicted concentrations throughout most of the catchment were 1
ng/L or less under low flow (90th percentile) conditions. However, at a few locations, downstream of small sewage treatment plants, concentrations above 25
ng/L were predicted. This exercise shows that it is relatively straightforward to predict the concentrations of new and emerging organic microcontaminants in real catchments using existing GIS hydrology water quality models. Further testing will be required to establish their accuracy.
A GIS hydrology model was used to predict pharmaceutical concentration hot spots in a rural catchment.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><pmid>16905225</pmid><doi>10.1016/j.envpol.2006.05.037</doi><tpages>11</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0269-7491 |
ispartof | Environmental pollution (1987), 2007-03, Vol.146 (1), p.155-165 |
issn | 0269-7491 1873-6424 |
language | eng |
recordid | cdi_proquest_miscellaneous_20195306 |
source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
subjects | Applied sciences chemical concentration Computer Simulation Continental surface waters diclofenac Diclofenac - analysis drugs Earth sciences Earth, ocean, space Effluent Engineering and environment geology. Geothermics Environmental Monitoring - methods Exact sciences and technology Freshwater Geographic Information Systems hydrologic models Models, Theoretical Natural water pollution Pharmaceuticals Pollution pollution load Pollution, environment geology prediction propranolol Propranolol - analysis river water Rivers Rural rural areas Sewage sewage treatment simulation models Tamar United Kingdom Water Movements Water Pollutants, Chemical - analysis water pollution Water Purification Water treatment and pollution watershed hydrology watersheds |
title | A practical demonstration in modelling diclofenac and propranolol river water concentrations using a GIS hydrology model in a rural UK catchment |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T17%3A50%3A45IST&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=A%20practical%20demonstration%20in%20modelling%20diclofenac%20and%20propranolol%20river%20water%20concentrations%20using%20a%20GIS%20hydrology%20model%20in%20a%20rural%20UK%20catchment&rft.jtitle=Environmental%20pollution%20(1987)&rft.au=Johnson,%20A.C.&rft.date=2007-03-01&rft.volume=146&rft.issue=1&rft.spage=155&rft.epage=165&rft.pages=155-165&rft.issn=0269-7491&rft.eissn=1873-6424&rft.coden=ENVPAF&rft_id=info:doi/10.1016/j.envpol.2006.05.037&rft_dat=%3Cproquest_cross%3E14799896%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=14799896&rft_id=info:pmid/16905225&rft_els_id=S0269749106003848&rfr_iscdi=true |