Browsing by Author "Kadak A."

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An adaptive neuro-fuzzy inference system (ANFIS) to predict of cadmium (Cd) concentrations in the filyos river, Turkey
(2018-01-01) Sonmez A.; Kale S.; Ozdemir R.; Kadak A.
Water 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 (R2=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.
Characteristics of Capoeta oguzelii, a new species of cyprinid fish from the Ezine Stream, Black Sea basin, Turkey (Teleostei: Cyprinidae)
(2018-04-03) Elp M.; Osmanoğlu M.; Kadak A.; Turan D.
Four species of Capoeta (C. baliki, C. banarescui, C. sieboldii and C. ekmekciae) have been reported from Black Sea drainages, to date. We recognised an additional species in the Ezine Stream in the Southern Black Sea basin. Based on the analysis of 21 metric and 8 meristic data, we concluded that the Ezine Stream population forms a distinct, unnamed species, which we have described as Capoeta oguzelii sp. n. This species can be distinguished from all other Capoeta species by the following combination of characteristics: small size, presence of only one pair of barbels, absence of a keratinised edge of the lower jaw, a weakly ossified last simple dorsal fin ray, 7–10 gill rakers on the first gill arch and 7½ branched dorsal fin rays. http://www.zoobank.org/urn:lsid:zoobank.org:pub:066CC44A-3806-4DB7-8E88-AD971200E1EE.
The evaluation of shellfish wastes as antimicrobial agent on Rainbow trout
(2018-01-01) Kucukgulmez A.; Kadak A.; Celik M.; Yanar Y.; Gulnaz O.
This study aims to investigate antimicrobial effects of chitosan obtained from shell wastes of Metapenaeus stebbingi on refrigerated rainbow trout fillets. In the study, the fillets were dipped with different concentrations (0.1%, 0.5%, 1%) of extracted and commercial chitosan and were packed with vacuum and air conditions and subsequently, changes in total bacteria were observed during refrigerated storage period (4±1°C). There were decreases in the number of microorganisms of both groups plunged in natural and commercial chitosan during 12 days of storage compared to control group, and the best results was obtained as 0.1% in the groups applied with natural and commercial chitosan (p<0.05). In conclusion, chitosan obtained from shell wastes of M. stebbingi could be used as an effective natural alternative to synthetic antimicrobial agents during the storage period of fish.