Sevil Birecikligil

Prediction of removal efficiency of Lanaset Red G on walnut husk using artificial neural network model

An artificial neural network (ANN) model was used to predict removal efficiency of Lanaset Red (LR) G on walnut husk (WH). This adsorbent was characterized by FTIR-ATR. Effects of particle size, adsorbent dose, initial pH value, dye concentration, and contact time were investigated to optimize sorption process. Operating variables were used as the inputs to the constructed neural network to predict the dye uptake at any time as an output. Commonly used pseudo second-order model was fitted to the experimental data to compare with ANN model. According to error analyses and determination of coefficients, ANN was the more appropriate model to describe this sorption process. Results of ANN indicated that pH was the most efficient parameter (43%), followed by initial dye concentration (40%) for sorption of LR G on WH.

Nevşehir İli Balık Faunası İçin Koruma ve İzleme Programı Önerileri

Bu calisma Nevsehir ili balik faunasinin belirlenmesi amaciyla Mayis-Eylul 2014 tarihleri arasinda gerceklestirilmistir. Elektrosoker ve uzatma aglari kullanilarak yapilan ornekleme calismalari sonucunda Cyprinidae, Cyprinodontidae, Cobitidae, Nemacheilidae ve Percidae familyalarina ait 13 takson ( Alburnus orontis , Aphanius marassantensis, Capoeta sieboldi , Capoeta tinca , Carassius gibelio , Carassius auratus , Cobitis simplicispina , Cyprinus carpio , Oxynoemacheilus angorae , Sander lucioperca , Seminemacheilus lendlii, Squalius cephalus ve Tinca tinca ) elde edilmistir. Daha once Kizilirmak’tan rapor edilmis olan Silurus glanis ve Luciobarbus escherichii , Damsa Baraj Golu’nde tespit edilmis olan Oreochromis niloticus ve Atherina boyeri turlerine ise arazi calismalari sirasinda rastlanmamistir. Elde edilen bu turler icerisinde 4 tanesinin Turkiye icin endemik, 6 tanesinin tasinmis ve 4 tanesinin ise genis dagilimli tur oldugu tespit edilmistir. Bu calismada yapilan gozlemler ve elde edilen verilere dayanarak ihtiyofaunal biyocesitliligin korunmasi ve iyilestirilmesi icin gerekli olan izleme onerilerine yer verilmistir.

Yüzeysel Sularda Su Kalitesinin Değerlendirmesi ve İzlenmesi için Biyolojik Bütünlük İndeksi: Balik İndekslerinin Kullanilmasi

Water is most important compounds in the world due to the main component of living and needed activities in all of life. Water is also an ideal living environment they spend a certain part or all of their life for some creatures. Today nearly billion people do not reach to a with clean drinking water and around 2.5 billion people have hygiene and sanitation problems of the water they use is in the world. Ensuring the sustainable use of renewable water resources, which is possible with the protection of the quality of not only the quantity. The importance of ecosystem quality assessment and monitoring the use of a biotic index is increasing day by day while the recent past. Fishes are considered as an important indicator organisms in this index. The use of biological indices in Turkey is still in its early stages indexes are used as biological elements of the fish is not yet implemented.