An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey

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dc.authoridOzdemir, Rahmi Can/0000-0001-9986-0868
dc.authoridKALE, Semih/0000-0001-5705-6935
dc.contributor.authorSonmez, Adem Yavuz
dc.contributor.authorKale, Semih
dc.contributor.authorOzdemir, Rahmi Can
dc.contributor.authorKadak, Ali Eslem
dc.date.accessioned2025-01-27T20:35:01Z
dc.date.available2025-01-27T20:35:01Z
dc.date.issued2018
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractWater quality is one of the main characteristics of a river system and prediction of water quality is the key factor in water resource management. Different physical, biological and chemical parameters including heavy metals can be used to assess river water quality. Evaluation of the water quality in the rivers is quite difficult and requires more time and effort because of the fact that many factors affect water quality. Traditional data processing methods are insufficient to solve this problem. Therefore, in this study, an adaptive neuro-fuzzy inference system (ANFIS) model was developed to predict the concentrations of cadmium (Cd) in the Filyos River, Turkey. For this purpose, water samples collected at 7 sampling locations in the river during December 2014-2015 were used to develop ANFIS model. The available data set was apportioned into two separate sections for training and testing the ANFIS model. Developed models aimed to use the least parameters to estimate Cd concentration. As a result, a relatively higher correlation (R-2=0.91) was found between observed and modelled Cd concentrations. The results indicated that the ANFIS model gave reasonable estimates for the concentrations of Cd with a high degree accuracy and robustness. In conclusion, this paper suggests that ANFIS methodology produce very successful findings and has the ability to predict Cd concentration in water resources. The outcomes of this research provide more information, simulation, and prediction about heavy metal concentration in natural aquatic ecosystems. Therefore, ANFIS can be used in further researches on water quality monitoring.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [114O145]
dc.description.sponsorshipThis study was supported by The Scientific and Technological Research Council of Turkey (TUBITAK Project No: 114O145). An earlier version of this paper was presented at International Congress on Environmental Researches and Technology (ICERAT 2017) in Belgrade, Serbia.
dc.identifier.doi10.4194/1303-2712-v18_12_01
dc.identifier.endpage1343
dc.identifier.issn1303-2712
dc.identifier.issn2149-181X
dc.identifier.issue12
dc.identifier.scopus2-s2.0-85049641764
dc.identifier.scopusqualityQ2
dc.identifier.startpage1333
dc.identifier.trdizinid350829
dc.identifier.urihttps://doi.org/10.4194/1303-2712-v18_12_01
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/350829
dc.identifier.urihttps://hdl.handle.net/20.500.12428/23544
dc.identifier.volume18
dc.identifier.wosWOS:000437852500001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherCentral Fisheries Research Inst
dc.relation.ispartofTurkish Journal of Fisheries and Aquatic Sciences
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectANFIS
dc.subjectcadmium
dc.subjectheavy metal
dc.titleAn Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey
dc.typeArticle

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