| Estimation of stream temperature in firtina creek (Rize-Turkiye) using artificial neural network model. | |
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MedLine Citation:
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PMID: 17717988 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Water temperature is one of the most important environmental variables in aquatic ecosystem. Temperature changes may have positive or negative effects on organisms. High water temperatures have caused mortalities in salmonid fishes. Therefore, monitoring and prediction of potential adverse changes in water temperature is very important. Here, we have developed and tested an artificial neural network (ANN) model to predict stream temperature of Firtina Creekin Black Sea region; using local water temperature, dissolved oxygen, pH and other available meteorological data (air temperature, rainfall). Thus, enabling define suitable habitat for native Sea Trout (Salmo trutta labrax, Pallas 1811) under past drought or other adverse envIronmental conditions. |
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Authors:
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Nuket Sivri; Niyazi Kilic; Osman N Ucan |
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Publication Detail:
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Type: Evaluation Studies; Journal Article |
Journal Detail:
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Title: Journal of environmental biology / Academy of Environmental Biology, India Volume: 28 ISSN: 0254-8704 ISO Abbreviation: J Environ Biol Publication Date: 2007 Jan |
Date Detail:
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Created Date: 2007-08-27 Completed Date: 2007-10-16 Revised Date: 2009-03-09 |
Medline Journal Info:
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Nlm Unique ID: 8300544 Medline TA: J Environ Biol Country: India |
Other Details:
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Languages: eng Pagination: 67-72 Citation Subset: IM |
Affiliation:
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Istanbul University, Engineering Faculty, Environmental Eng. Dep., 34320 Istanbul, Turkiye. sivrin@yahoo.com |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Aquaculture Environmental Monitoring Hydrogen-Ion Concentration Neural Networks (Computer)* Oxygen / analysis Rain Reproducibility of Results Rivers* Temperature* Turkey |
| Chemical | |
Reg. No./Substance:
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7782-44-7/Oxygen |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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