Açık Akademik Arşiv Sistemi

Dissolved oxygen estimation using artificial neural network for water quality control

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dc.contributor.authors Sengorur, B; Dogan, E; Koklu, R; Samandar, A;
dc.date.accessioned 2020-02-26T08:57:41Z
dc.date.available 2020-02-26T08:57:41Z
dc.date.issued 2006
dc.identifier.citation Sengorur, B; Dogan, E; Koklu, R; Samandar, A; (2006). Dissolved oxygen estimation using artificial neural network for water quality control. FRESENIUS ENVIRONMENTAL BULLETIN, 15, 1067-1064
dc.identifier.issn 1018-4619
dc.identifier.uri https://hdl.handle.net/20.500.12619/50296
dc.description.abstract Dissolved oxygen (DO) is one of the key parameters when analyzing river water quality. Correct estimation of DO being carried by a river is very important for water quality control. DO is affected by lots of variables such as decomposition, nitrification, reaeration, sedimentation, photosynthesis, water discharge and temperature for that reason it is hard to solve such a complex problem. The methods available in the literature for DO estimation are complicated, time consuming and necessitate numbersome parameter estimation procedures. Artificial Neural Networks (ANNs) are simply mathematical representations of the functioning of the human brain. This paper examines the potential of ANN in estimating the DO from limited data (NO2-N, NO3-N, BOD, water discharge and temperature). This study employed feed forward (FF) type ANN for computing monthly values of DO. The results of the study clearly demonstrate that the ANN results are very close to the observed values of DO.
dc.language English
dc.publisher PARLAR SCIENTIFIC PUBLICATIONS (P S P)
dc.subject Environmental Sciences & Ecology
dc.title Dissolved oxygen estimation using artificial neural network for water quality control
dc.type Proceedings Paper
dc.identifier.volume 15
dc.identifier.startpage 1064
dc.identifier.endpage 1067
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Çevre Mühendisliği Bölümü
dc.contributor.saüauthor Şengörür, Bülent
dc.contributor.saüauthor Doğan, Emrah
dc.contributor.saüauthor Köklü, Rabia
dc.relation.journal FRESENIUS ENVIRONMENTAL BULLETIN
dc.identifier.wos WOS:000241082400014
dc.identifier.eissn 1610-2304
dc.contributor.author Şengörür, Bülent
dc.contributor.author Doğan, Emrah
dc.contributor.author Köklü, Rabia


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