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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]

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