Predicting near-shore coliform bacteria concentrations using ANNS
Details are given of the application of Artificial Neural Networks (ANNs) to predicting the compliance of bathing waters along the coastline of the Firth of Clyde, situated in the south west of Scotland, UK. Water quality data collected at 7 locations during 1990-2000 were used to set up the neural...
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| Veröffentlicht in: | Water science and technology 2003-01, Vol.48 (10), p.225-232 |
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| creator | Lin, B Kashefipour, S M Falconer, R A |
| description | Details are given of the application of Artificial Neural Networks (ANNs) to predicting the compliance of bathing waters along the coastline of the Firth of Clyde, situated in the south west of Scotland, UK. Water quality data collected at 7 locations during 1990-2000 were used to set up the neural networks. In this study faecal coliforms were used as a water quality indicator, i.e. output, and rainfall, river discharge, sunlight and tidal condition were used as input of these networks. In general, river discharge and tidal ranges were found to be the most important parameters that affect the coliform concentration levels. For compliance points close to the meteorological station, the influence of rainfall was found to be relatively significant to the concentration levels. |
| doi_str_mv | 10.2166/wst.2003.0578 |
| format | Article |
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Water quality data collected at 7 locations during 1990-2000 were used to set up the neural networks. In this study faecal coliforms were used as a water quality indicator, i.e. output, and rainfall, river discharge, sunlight and tidal condition were used as input of these networks. In general, river discharge and tidal ranges were found to be the most important parameters that affect the coliform concentration levels. For compliance points close to the meteorological station, the influence of rainfall was found to be relatively significant to the concentration levels.</description><identifier>ISSN: 0273-1223</identifier><identifier>ISBN: 1843394545</identifier><identifier>ISBN: 9781843394549</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.2166/wst.2003.0578</identifier><identifier>PMID: 15137174</identifier><language>eng</language><publisher>England: IWA Publishing</publisher><subject>Artificial neural networks ; Bacteria ; Bathing ; Brackish ; British Isles, Scotland, Firth of Clyde ; Enterobacteriaceae - growth & development ; Fecal coliforms ; Forecasting ; Marine ; Neural networks ; Neural Networks (Computer) ; Rain ; Rainfall ; Recreation ; River discharge ; River flow ; Rivers ; Scotland ; Tidal range ; Water discharge ; Water Microbiology ; Water Movements ; Water Pollutants ; Water quality</subject><ispartof>Water science and technology, 2003-01, Vol.48 (10), p.225-232</ispartof><rights>Copyright IWA Publishing Nov 2003</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-187e5335600ddefeaa3705ab58e550a03ebf5f2166b3a701e774636b1044c0d13</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23929,23930,25139,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15137174$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Vicory, AH</contributor><contributor>Tyson, JM</contributor><creatorcontrib>Lin, B</creatorcontrib><creatorcontrib>Kashefipour, S M</creatorcontrib><creatorcontrib>Falconer, R A</creatorcontrib><title>Predicting near-shore coliform bacteria concentrations using ANNS</title><title>Water science and technology</title><addtitle>Water Sci Technol</addtitle><description>Details are given of the application of Artificial Neural Networks (ANNs) to predicting the compliance of bathing waters along the coastline of the Firth of Clyde, situated in the south west of Scotland, UK. 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For compliance points close to the meteorological station, the influence of rainfall was found to be relatively significant to the concentration levels.</description><subject>Artificial neural networks</subject><subject>Bacteria</subject><subject>Bathing</subject><subject>Brackish</subject><subject>British Isles, Scotland, Firth of Clyde</subject><subject>Enterobacteriaceae - growth & development</subject><subject>Fecal coliforms</subject><subject>Forecasting</subject><subject>Marine</subject><subject>Neural networks</subject><subject>Neural Networks (Computer)</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Recreation</subject><subject>River discharge</subject><subject>River flow</subject><subject>Rivers</subject><subject>Scotland</subject><subject>Tidal range</subject><subject>Water discharge</subject><subject>Water Microbiology</subject><subject>Water Movements</subject><subject>Water Pollutants</subject><subject>Water quality</subject><issn>0273-1223</issn><issn>1996-9732</issn><isbn>1843394545</isbn><isbn>9781843394549</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkc1Lw0AQxRc_0LZ69CoFwVvqzM5uNjmW4heUKqjnZZNMNNImupsg_vcmtCB48TQw_Obx5j0hzhBmEuP46iu0MwlAM9Am2RMjTNM4Sg3JfTHGRBGlSit9IEYgDUUoJR2LcQjvAGBIwZE4Ro1k0KiRmD96Lqq8rerXac3OR-Gt8TzNm3VVNn4zzVzesq9cv6lzrlvv2qqpw7QLw8V8tXo6EYelWwc-3c2JeLm5fl7cRcuH2_vFfBnlZNI2wsSwJtIxQFFwyc6RAe0ynbDW4IA4K3U5_JeRM4BsjIopzhCUyqFAmojLre6Hbz47Dq3dVCHn9drV3HTBSpSAlNC_IJpUgkp0D178Ad-bztf9ExZT1Sdlerc9FW2p3DcheC7th682zn9bBDv4tX0fdujDDn30_PlOtcs2XPzSu8zpB8zUgig</recordid><startdate>20030101</startdate><enddate>20030101</enddate><creator>Lin, B</creator><creator>Kashefipour, S M</creator><creator>Falconer, R A</creator><general>IWA Publishing</general><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>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7T7</scope><scope>7TN</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7QL</scope><scope>H99</scope><scope>L.F</scope></search><sort><creationdate>20030101</creationdate><title>Predicting near-shore coliform bacteria concentrations using ANNS</title><author>Lin, B ; Kashefipour, S M ; Falconer, R A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-187e5335600ddefeaa3705ab58e550a03ebf5f2166b3a701e774636b1044c0d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Artificial neural networks</topic><topic>Bacteria</topic><topic>Bathing</topic><topic>Brackish</topic><topic>British Isles, Scotland, Firth of Clyde</topic><topic>Enterobacteriaceae - growth & development</topic><topic>Fecal coliforms</topic><topic>Forecasting</topic><topic>Marine</topic><topic>Neural networks</topic><topic>Neural Networks (Computer)</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Recreation</topic><topic>River discharge</topic><topic>River flow</topic><topic>Rivers</topic><topic>Scotland</topic><topic>Tidal range</topic><topic>Water discharge</topic><topic>Water Microbiology</topic><topic>Water Movements</topic><topic>Water Pollutants</topic><topic>Water quality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, B</creatorcontrib><creatorcontrib>Kashefipour, S M</creatorcontrib><creatorcontrib>Falconer, R A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>ASFA: Marine Biotechnology Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Marine Biotechnology Abstracts</collection><jtitle>Water science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, B</au><au>Kashefipour, S M</au><au>Falconer, R A</au><au>Vicory, AH</au><au>Tyson, JM</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting near-shore coliform bacteria concentrations using ANNS</atitle><jtitle>Water science and technology</jtitle><addtitle>Water Sci Technol</addtitle><date>2003-01-01</date><risdate>2003</risdate><volume>48</volume><issue>10</issue><spage>225</spage><epage>232</epage><pages>225-232</pages><issn>0273-1223</issn><eissn>1996-9732</eissn><isbn>1843394545</isbn><isbn>9781843394549</isbn><abstract>Details are given of the application of Artificial Neural Networks (ANNs) to predicting the compliance of bathing waters along the coastline of the Firth of Clyde, situated in the south west of Scotland, UK. 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| ispartof | Water science and technology, 2003-01, Vol.48 (10), p.225-232 |
| issn | 0273-1223 1996-9732 |
| language | eng |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Artificial neural networks Bacteria Bathing Brackish British Isles, Scotland, Firth of Clyde Enterobacteriaceae - growth & development Fecal coliforms Forecasting Marine Neural networks Neural Networks (Computer) Rain Rainfall Recreation River discharge River flow Rivers Scotland Tidal range Water discharge Water Microbiology Water Movements Water Pollutants Water quality |
| title | Predicting near-shore coliform bacteria concentrations using ANNS |
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