Browsing by Author "Celik, E."

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Determination of Metals and Selenium Concentrations in Feather of Armenian Gull (Larus Armenicus) Living in Van Lake Basin, Turkey
(Corvinus Univ Budapest, 2018) Durmus, A.; Celik, E.; Cenger, C.; Taskin, N.; Acar, S.
In this study, the heavy metals magnesium (Mg), zinc (Zn), copper (Cu), manganese (Mn), lithium (Li), tin (Sn), cobalt (Co) and selenium (Se) levels were determined in the feathers of Armenian Gull (Larus armenicus), which is a species classified as near threatened (NT) according to IUCN categories. The Gull lives on the islands of Turkey's largest lake, Lake Van. Different levels were detected due to the urban and rural location of the study areas. The highest levels of Mg, Zn, Mn, chromium (Cr), and Li were determined in the Sihke pond near the city's dumpsite. The lowest levels were determined on Adir island, with the least human factors. While the levels of Co, Se, and Sn were high in the samples taken from Akdamar Island, the lowest levels were determined on Carpanak Island and in Sihke pond.
Evaluation of the Potential Hazards of Ship-Generated Waste in Maritime Industry Using a Type-2 Fuzzy Analytical Hierarchy Process
(Univ Buckingham Press, 2020) Celik, E.; Soner, O.; Akyuz, E.; Arslan, O.
Ships create a large amount of pollutions to marine and coastal environment where its pollutants have negative effects to human and maritime habitat. Depending on the nature of ship-generated waste, rules and regulations determine discharging procedures. This paper focuses on evaluating of potential hazards of ship-generated wastes on the environment whether it may be discharged into the sea or disposed of on port facilities. Thus. marine and costal environmental effects can be discussed analytically to improve human and ecological health. To achieve this purpose. analytic hierarchy process (AHP) extended with interval type-2 fuzzy sets (IT2FSs) is used. While AHP method is used for prioritizing the potential ship-generated waste, the IT2FSs deal with uncertainty and vagueness in the process of obtaining expert decision. Beside assessment of the environmental impacts, the paper contributes to enhance coastal and marine environmental awareness with respect to the ship-generated waste.
Nonlinear Regression Applications in Modeling Over-Dispersion of Bird Populations
(Pakistan Agricultural Scientists Forum, 2020) Celik, E.; Durmus, A.
The aim of this study was to statistically evaluate bird populations in Akdogan Lakes by means of Poisson and negative binomial regression models. The over-dispersion value in Poisson regression was much higher than 1.0 (33.827). In contrast, the value of over-dispersion in the negative binomial regression was very close to 1.0 (1.598). Therefore, the parameter estimates were interpreted considering the negative binomial regression. When spring season was considered as a reference parameter, the change in population densities in other seasons was not statistically significant. The population changes in other habitats were not statistically significant, when reed area was considered as a reference parameter. The change in the population density of 13 ordo groups is non significant when the Anseriformes order was evaluated as reference parameter. The population change in the Gruiiformes population was 11.951 times higher compared with the change in reference parameter and the change was statistically significant (p <0.01). As a result, it is recommendable to use negative binomial regression with the scope of removing over-dispersion problem in the bird population modeling.