Yazar "Sogut, Ali Riza" seçeneğine göre listele

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    Environmental Isotopic Characterization of Groundwater and Surface Water in Northeast Missan Province, South Iraq
    (WILEY-BLACKWELL, 2014) Ghalib, Hussein Badr; Sogut, Ali Riza
    The present work studies the environmental isotopes assess groundwater characteristics of the different parts of the main aquifer in the northeast Missan Province in south of Iraq. Water samples of groundwater and surface water were collected for two dry and wet seasons during the water year of 2011-2012. The study shows that most of the groundwater in the aquifer falls above the global meteoric water line, and all the samples fall below the Mediterranean meteoric water line, indicating that these samples are a mixture of two water types. The tritium content of these samples supports this conclusion. The overall conclusion of this study indicates that there are two sources of groundwater recharge in the studied area: the ephemeral streams (Teeb and Dewerge) and major precipitation sources. According to the tritium levels at or below one tritium unit (TU) obtained from the water, supply wells are highly confined or not vulnerable. Overall, the 3H results imply that recent recharge has taken place during the last four to five decades. In the recharge area, the high tritium content in the southern part of the Teeb area suggests that the recharge originates from rapid infiltration of surface runoff. Therefore, the groundwater resources in the study area should be protected from contamination, because it will influence the aquifer in a relatively short period of time if any contamination enters the recharge areas of the aquifer.
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    Specifications of thermal waters and their classification on the base of neural network method: Examples from Simav geothermal area, Western Turkey
    (ACADEMIC JOURNALS, 2011) Bayram, Ali Ferhat; Gultekin, Seyfettin Sinan; Sogut, Ali Riza
    Western Turkey is one of the best known geothermal fields in Turkey. There are numerous geothermal energy plants (for example Kizildere, Nazilli, Hidirbeyli, Balcova, Tuzla) in Aegean region, Western Turkey. Simav geothermal field is located within the Aegean Graben System in Western Anatolia. Rock units in the study area are mainly the formation of Menderes Massive. The Simav geothermal waters were divided into four types: (1) Eynal, (2) Citgol, (3) geothermal water and (4) cold water. In this study, we aimed to introduce a method for classifying waters in the study area using some parameters such as temperature, pH, electrical conductivity and major ions by means of Artificial Neural Network (ANN) method. The data at hand obtained from wells indicate that the drilled water can be used for drinking and irrigation, the data also reveals that the ground water flows towards the desiccated lake. The cold water analysis gave high CO3+HCO3, Ca, Mg ion values, and low NH4, NO3, Fe, NO2, Al and Mn ion values. On the other hand, the hot water analysis indicate that a cation trend of Na+K>Ca>Mg and an anion trend of HCO3+CO3>SO4>Cl. While preparing the training data set in ANN method, for input, T (degrees C), EC (mu S), pH, Na (mg/l), K (mg/l), Ca (mg/l), Mg (mg/l), CO3 (mg/l), HCO3 (mg/l), Cl (mg/l) and SO4 (mg/l) values of 50 water samples from the study area were used. Four output values were used. In each output value, the known water was represented by 1 and others by 0. A test data set of 15 samples in which the T, EC, pH, Na, K, Ca, Mg, CO3, HCO3, Cl and SO4 values are known but their group are unknown was prepared. And these input values were run in ANN model in order to see how the waters were grouped. The advantages of artificial neural networks can be exploited to solve this problem. The most common ANN architecture is Multilayered Perceptrons, which was used in this study. For this solution, the first artificial neural network model using Extended Delta-Bar-Delta (EDBD) algorithm has been successfully implemented. Mean Square Error result of these model obtained by EDBD algorithm is 1.3x10(-3). These results show that the group in which the waters in the study area fall can be determined with high accuracy by using some parameters of water such as the ion content of water.
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    Stratigraphic Characteristics of the Derinkuyu Area, Nevsehir, Turkey
    (SPRINGER INT PUBLISHING AG, 2014) Sogut, Ali Riza; Kocak, Kerim; Guzel, Ahmet
    The study area is located in the Derinkuyu area, central Anatolia. The oldest formation in the area is Cretaceous Karatepe hornblende gabbro, which is overlain by upper Miocene Melendizdagi tuffs, Melendizdagi andesites, Gostuk tuff and ignimbrite, and the Karakaya Formation. These units are followed by lower Pliocene Selime tuff, Kizilkaya ignimbrite, and the Agilli Formation, above which lie various Pleistocene ashes, namely, the Hasandagi ash, the Kumtepe ash, and the Golludag ash flow tuffs. Above these are the Pleistocene Kizildag basalts and Holocene basaltic cinder cones. Talus is the youngest unit in the area. The young volcanics and volcaniclastics in the area may have originated from the volcanism of Mts Erciyes, Melendiz, and Hasan.