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Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.66 [2007] >
JSIR Vol.66(05) [May 2007] >
| 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 |
| Source: | JSIR Vol.66(05) [May 2007]
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