Browsing by Author "Üneş, Fatih"
Now showing items 1-17 of 17
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3-D real dam reservoir model for seasonal thermal density flow
Üneş, Fatih; Varçin, Hakan (Gh. Asachi Technical University of Iasi, 2017)The efficient use of fresh water sources and proper modeling of the water quality can only be possible when flows in the dam reservoir are well defined. Therefore, in this study, a hydrodynamics model of an actual dam ... -
Daily reference evapotranspiration prediction based on climatic conditions applying different data mining techniques and empirical equations
Üneş, Fatih; Kaya, Yunus Ziya; Mamak, Mustafa (Springer Wien, 2020)Considering evapotranspiration takes a basic role in the hydrologic cycle, water resources management, and irrigation water requirements. Evapotranspiration estimation is not an easy case because of the number of direct ... -
Estimating dam reservoir level fluctuations using data-driven techniques
Üneş, Fatih; Demirci, Mustafa; Taşar, Bestami; Kaya, Yunus Ziya; Varçin, Hakan (Hard, 2019)Estimating dam reservoir level is very important in terms of the operation of a dam, the safety of transport in the river, the design of hydraulic structures, and determining pollution, the salinity of the river flow ... -
Estimating the energy production of the wind turbine using artificial neural network
Mert, İlker; Karakuş, Cuma; Üneş, Fatih (Springer-Verlag London Ltd, 2016)Due to fluctuating weather conditions, estimating wind energy potential is still a significant problem. Artificial neural networks (ANNs) have been commonly used in short-term and just-in-time modeling of wind power ... -
Estimation of groundwater level using artificial neural networks: A case study of Hatay-Turkey
Üneş, Fatih; Demirci, Mustafa; İspir, Eyüp; Kaya, Yunus Ziya; Mamak, Mustafa; Taşar, Bestami (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Groundwater, which is a strategic resource in Turkey, is used for drinking-use, agricultural irrigation and industrial purposes. Population increase and total water consumption are constantly increasing. In order to meet ... -
Estimation of wind energy power using different artificial intelligence techniques and empirical equations
Mert, İlker; Üneş, Fatih; Karakuş, Cuma; Joksimovic, Darko (Taylor and Francis Inc., 2019)The understanding of the behavior of a wind turbine is difficult due to changes in weather conditions. To obtain the response of a wind turbine influenced by changes in both wind speed and its direction, using the ... -
Evapotranspiration estimation using support vector machines and Hargreaves-Samani equation for St. Johns, FL, USA
Üneş, Fatih; Kaya, Yunus Ziya; Mamak, Mustafa; Demirci, Mustafa (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Information about Evapotranspiration (ET) calculations are not clear enough even it is an important part of hydrological cycle. There are many parameters which effect ET directly or indirectly such as Solar Radiation (SR) ... -
Evapotranspiration prediction using adaptive neuro-fuzzy inference system and Penman FAO 56 equation for St. Johns, FL, USA
Mamak, Mustafa; Üneş, Fatih; Kaya, Yunus Ziya; Demirci, Mustafa (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Evapotranspiration (ET) estimation is a primary problem for irrigation engineers and hydraulic designers because it is an important part of hydrologic cycle. Even it is non-negligible in hydraulic design calculations, it ... -
Evapotranspiration prediction using M5T method and ritchie equation for St. Johns, FL, USA
Kaya, Yunus Ziya; Mamak, Mustafa; Üneş, Fatih; Demirci, Mustafa (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Evapotranspiration (ET) estimation takes an important role in hydraulic designs and agricultural yield. Even it is non-negligible for hydraulic designers and irrigation engineers it is not clear enough to estimate or ... -
Groundwater level prediction using Support Vektor Machines and autoregressive (AR) modelss
Üneş, Fatih; Demirci, Mustafa; Kaya, Yunus Ziya; İspir, Eyüp; Mamak, Mustafa (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Water resources managers can benefit from accurate prediction of the availability of groundwater. Ground water is a major source of water in Turkey for irrigation, water supply and industrial uses. The ground water level ... -
Hatay Amik Ovası Kumlu bölgesindeki yer altı suyu seviyesinin yapay sinir ağları yöntemi ile tahmini
İspir, Eyüp (İskenderun Teknik Üniversitesi / Mühendislik ve Fen Bilimleri Enstitüsü / İnşaat Mühendisliği Anabilim Dalı, 2017)Stratejik bir kaynak niteliğinde olan yeraltı suyundan ülkemizde içme-kullanma, tarımsal sulama ve sanayi maksatlı önemli miktarda çekim yapılmaktadır. Nüfus artışı ile birlikte toplam su tüketimi sürekli artmaktadır. Su ... -
Hatay ili Dörtyol bölgesi yer altı su seviyesinin bulanık mantık, çoklu lineer regresyon ve arma modelleri ile tahmini
Maruf, Ayda Gizem (İskenderun Teknik Üniversitesi / Mühendislik ve Fen Bilimleri Enstitüsü / İnşaat Mühendisliği Anabilim Dalı, 2019)Yeraltı suyu seviyesinin doğru ve güvenilir bir şekilde tahmin edilmesi, su kaynaklarının geliştirilmesi ve yönetimi için önemlidir. Bu çalışmada, Otoregresif hareketli ortalamalar (ARMA) modelleri, Çoklu Lineer Regresyon ... -
Modeling of dam reservoir volume using generalized regression neural network, support vector machines and m5 decision tree models
Üneş, Fatih; Demirci, Mustafa; Taşar, Bestami; Kaya, Yunus Ziya; Varçin, Hakan (Corvinus University of Budapest, 2019)Dam reservoir capacity estimation is an important issue for operation, design and safety assessments of dam structures. In this study, the reservoir capacity of the Stony Brook dam in the USA was estimated by Generalized ... -
Modeling of groundwater level using artificial intelligence techniques: A case study of Reyhanli region in Turkey
Demirci, Mustafa; Üneş, Fatih; Körlü, S. (Corvinus University of Budapest, 2019)Determination of the change in groundwater level in terms of planning and managing resources is important. In this study, the groundwater level of Reyhanli region in Turkey was predicted using multi-linear regression (MLR), ... -
Numerical investigation of temporal variation of density flow and parameters
Üneş, Fatih; Ağıralioğlu, Necati (Isfahan University of Technology, 2017)Experimental investigations and observations indicate that water quality modeling is related to the formation of flows in the dam reservoirs. Correct estimation of dam reservoir flow, plunging point and plunging depth are ... -
Yapay sinir ağları yöntemi kullanılarak buharlaşma miktarı tahmini
Buharlaşma tahmini, özellikle kurak dönemlerde ve kurak alanlarda, sulama yönetiminde ve hidroliktasarımlarda önemli bir rol oynar. Bu çalışmada, Hargreaves-Samani, Ritchie ve Turc denklemleri gibiampirik (geleneksel) ... -
Yeraltı suyu seviye değişiminin bulanık mantık ve destek vektör makineleri yöntemleri ile tahmini
Körlü, Selçuk (İskenderun Teknik Üniversitesi / Mühendislik ve Fen Bilimleri Enstitüsü / İnşaat Mühendisliği Anabilim Dalı, 2019)Yeraltı suyu özellikle kurak ve yarı kurak bölgelerde, birçok alanda evsel, kentsel, tarımsal ve endüstriyel amaçlar için çoğunlukla kullanılan su kaynaklarından biridir. Geleceğe yönelik suyu güvence altına almak için, ...
