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Browsing by Author "Tayfur, Gökmen"
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Akifere yağıştan süzülme miktarının sondaj verileri kullanılarak tahmin edilmesi: Alaşehir (Manisa) Havzası
Tonkul, Serhat; Baba, Alper; Şimşek, Celalettin; Tayfur, Gökmen; Durukan, Seda; Kumanlıoğlu, Ahmet; Demirkesen, Ali Can (TMMOB Jeoloji Mühendisleri Odası, 2018)Son yıllarda iklim değişikliğine bağlı su kullanımının artması ve buna ek olarak aşırı nüfus artışı, yeraltısuyu kullanımını arttırmakta ve su kaynaklarını tehdit etmektedir. Su kaynaklarının sürdürülebilirliğinin ... -
Alaşehir Havzası SMA (Soil Moisture Accounting) hidrolojik modeli
Akdeğirmen, Özgün; Baba, Alper; Şimşek, Celalettin; Tayfur, Gökmen; Kumanlıoğlu, Ahmet (TMMOB Jeoloji Mühendisleri Odası, 2018)Havza su yönetiminde dinamik hidrolojik koşullarına göre, gerçeğe yakın tahminlerde bulunmak ve bunu mümkün olan en az kaynak kullanımı ile gerçekleştirmek temel hedeflerden biridir. Bu noktada 115Y065 numaralı TÜBİTAK ... -
Ampirik yöntemlerle Gediz Nehri için askıda katı madde yükü tahmini
Ülke, Aslı; Özkul, Sevinç; Tayfur, Gökmen (TMMOB İnşaat Mühendisleri Odası, 2011-04)It is essential to predict suspended sediment load for understanding river morphology, design of dams, water supply problems, management of reservoirs and determination of pollution levels in rivers. The suspended sediment ... -
Analysis and assessment of hydrochemical characteristics of Maragheh-Bonab Plain aquifer, Northwest of Iran
Fijani, Elham; Moghaddam, Asghar A.; Tsai, Frank T.-C.; Tayfur, Gökmen (Springer, 2017-02)The present study aims at assessing the hydrochemistry of the groundwater system of the Maragheh-Bonab Plain located in the East Azarbaijan Province, northwest of Iran. The groundwater is used mainly for drinking, agriculture ... -
ANN and fuzzy logic models for simulating event-based rainfall-runoff
Tayfur, Gökmen; Singh, Vijay P. (American Society of Civil Engineers, 2006-12)This study presents the development of artificial neural network (ANN) and fuzzy logic (FL) models for predicting event-based rainfall runoff and tests these models against the kinematic wave approximation (KWA). A three-layer ... -
Applicability of sediment transport capacity models for nonsteady state erosion from steep slopes
Tayfur, Gökmen (American Society of Civil Engineers, 2002-05)The physics-based sediment transport equations are derived from the assumption that the sediment transport rate can be determined by a dominant variable such as flow discharge, flow velocity, slope, shear stress, stream ... -
Areally-averaged overland flow equations at hillslope scale
Tayfur, Gökmen; Kavvas, M. Levent (Taylor & Francis, 1998-06)Microscale-averaged inter-rill area sheet flow and rill flow equations (Tayfur and Kavvas, 1994) are averaged along the inter-rill area length and rill length to obtain local areally-averaged inter-rill area sheet flow and ... -
Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites
Seyhan, Abdullah Tuğrul; Tayfur, Gökmen; Karakurt, Murat; Tanoğlu, Metin (Elsevier, 2005-08)A three layer feed forward artificial neural network (ANN) model having three input neurons, one output neuron and two hidden neurons was developed to predict the ply-lay up compressive strength of VARTM processed E-glass/ ... -
Artificial neural networks for estimating daily total suspended sediment in natural streams
Tayfur, Gökmen; Güldal, Veysel (IWA Publishing, 2006)Estimates of sediment loads in natural streams are required for a wide spectrum of water resources engineering problems from optimal reservoir design to water quality in lakes. Suspended sediment constitutes 75-95% of the ... -
Artificial neural networks for sheet sediment transport
Tayfur, Gökmen (Taylor & Francis, 2002-12)Sheet sediment transport was modelled by artificial neural networks (ANNs). A three-layer feed-forward artificial neural network structure was constructed and a back-propagation algorithm was used for the training of ANNs. ... -
Artificial neural networks model for air quality in the region of İzmir
Birgili, Savaş (Izmir Institute of Technology, 2002)In this study, a systematic approach to the development of the artificial neural networks based forecasting model is presented. S02, and dust values are predicted with different topologies, inputs and transfer functions. ... -
B and Se transport modeling in saturated/unsaturated zones
Yüreklitürk, O. Emin (Izmir Institute of Technology, 2002-09)There has been renewed interest in the application of models to the transport of non-point source pollutants. However, very little work has been done to evaluate the performance of a functional transient-state model for ... -
Baraj yıkılması sonrası iki boyutlu taşkın yayılımının yerleşim bölgeleri için modellenmesi
Elçi, Şebnem; Tayfur, Gökmen; Haltaş, İsmail; Kocaman, Bülent (Turkish Chamber of Civil Engineers, 2017)Her ne kadar baraj yıkılması nadiren gerçekleşse de, aniden yıkılan bir barajın taşkın dalgasının mansapta bulunan yerleşim bölgelerinde etkisi felaketle sonuçlanabilmektedir. Bu sebeble muhtemel bir baraj yıkılmasının ... -
Calculation of the time-varying mean velocity by different methods and determination of the turbulence intensities
Bombar, Gökçen; Güney, Mehmet Şükrü; Tayfur, Gökmen; Elçi, Şebnem (Academic Journals, 2010)The raw velocity data for both stream-wise and transversal directions in unsteady flows, which are formed by generating input hydrograph, are obtained by using a flow tracker. The same hydrograph is generated 15 times and ... -
Classifications for planimetric efficiency of nursing unit floors
Kazanasmaz, Zehra Tuğçe; Tayfur, Gökmen (Middle East Technical University, 2012)This trial study was conducted to determine classifications for planimetric design efficiency of sample public hospitals in Turkey by developing a fuzzy logic algorithm. Utilizing primary areas and circulation areas from ... -
Closure to "ANN and fuzzy logic models for simulating event-based rainfall-runoff" by Gokmen Tayfur and Vijay P. Singh
Tayfur, Gökmen; Singh, Vijay P. (American Society of Civil Engineers, 2008-09)We would like to thank Dr. Wong for his interest in and thoughts on our analysis of runoff hydrograph prediction and the goodnessof-fit measurement. We agree that visual comparison of simulated and measured hydrographs is ... -
Computation of the convection diffusion equation by the fourth order compact finite difference method
Bajellan, Asan Ali Akbar Fatah (Izmir Institute of Technology, 2015)This dissertation aims to develop various numerical techniques for solving the one dimensional convection–diffusion equation with constant coefficient. These techniques are based on the explicit finite difference approximations ... -
Coupling soil moisture and precipitation observations for predicting hourly runoff at small catchment scale
Tayfur, Gökmen; Zucco, Graziano; Brocca, Luca; Moramarco, Tommaso (Elsevier, 2014-03)The importance of soil moisture is recognized in rainfall-runoff processes. This study quantitatively investigates the use of soil moisture measured at 10, 20, and 40cm soil depths along with rainfall in predicting runoff. ... -
Describing the karst evolution by the exploitation of hydrologic time-series data
Katsanou, K.; Lambrakis, Nicolaos J.; Tayfur, Gökmen; Baba, Alper (Springer, 2015-07-30)The importance of the groundwater management of karst aquifers relatively to their complexity requires the knowledge of the subsurface flow and storage behavior. In this study, a methodological approach based on the ... -
Developing cation exchange capacity and soil index properties relationships using a neuro-fuzzy approach
Pulat, Hasan Fırat; Tayfur, Gökmen; Yükselen Aksoy, Yeliz (Springer, 2014-10)Artificial intelligence methods are employed to predict cation exchange capacity (CEC) from five different soil index properties, namely specific surface area (SSA), liquid limit, plasticity index, activity (ACT), and clay ...
