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http://nopr.niscpr.res.in/handle/123456789/1250| Title: | Maximum stream temperature estimation of Degirmendere River using artificial neural network |
| Authors: | Karaçor, Adil Gürsel Sivri, Nüket Uçan, Osman Nuri |
| Keywords: | Artificial neural network;Black sea;Degirmendere river;Stream temperature |
| Issue Date: | May-2007 |
| Publisher: | CSIR |
| Abstract: | Stream temperature determines the rate of the decomposition of organic matter and the saturation concentration of dissolved oxygen. Combined with industrial waste, stream temperature becomes a crucial parameter. Therefore, estimation of maximum stream temperature is very important, especially during summertime when the high temperatures may become dangerous for the habitat of rivers. A three-layered feed forward artificial neural network was developed to predict the maximum stream temperature of Degirmendere River for the five days ahead. Satisfactory results were achieved as the average prediction error turned out to be less than 1°C. |
| Page(s): | 363-366 |
| ISSN: | 0022-4456 |
| Appears in Collections: | JSIR Vol.66(05) [May 2007] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 66(5) (2007) 363-366.pdf | 119.1 kB | Adobe PDF | View/Open |
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