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Featured researches published by Murat Kankal.


Environmental Monitoring and Assessment | 2012

Estimation of suspended sediment concentration from turbidity measurements using artificial neural networks

Adem Bayram; Murat Kankal; Hızır Önsoy

Suspended sediment concentration (SSC) is generally determined from the direct measurement of sediment concentration of river or from sediment transport equations. Direct measurement is very costly and cannot be conducted for all river gauge stations. Therefore, correct estimation of suspended sediment amount carried by a river is very important in terms of water pollution, channel navigability, reservoir filling, fish habitat, river aesthetics and scientific interests. This study investigates the feasibility of using turbidity as a surrogate for SSC as in situ turbidity meters are being increasingly used to generate continuous records of SSC in rivers. For this reason, regression analysis (RA) and artificial neural networks (ANNs) were employed to estimate SSC based on in situ turbidity measurements. The SSC was firstly experimentally determined for the surface water samples collected from the six monitoring stations along the main branch of the stream Harsit, Eastern Black Sea Basin, Turkey. There were 144 data for each variable obtained on a fortnightly basis during March 2009 and February 2010. In the ANN method, the used data for training, testing and validation sets are 108, 24 and 12 of total 144 data, respectively. As the results of analyses, the smallest mean absolute error (MAE) and root mean square error (RMSE) values for validation set were obtained from the ANN method with 11.40 and 17.87, respectively. However these were 19.12 and 25.09 for RA. It was concluded that turbidity could be a surrogate for SSC in the streams, and the ANNs method used for the estimation of SSC provided acceptable results.


Energy & Environment | 2016

Importance of hydropower for sustainable energy development in Turkey: Case of Çoruh River

Murat Kankal; Sinan Nacar; Ergun Uzlu

This study investigates the sustainable development of hydropower in Turkey, focusing on development of Çoruh River. Çoruh Basin, which has magnificent dams, is one of the five largest basins in Turkey and represents 5.2% of the national gross hydropower potential (433 GWh/year). When all currently planned projects in Çoruh Basin are completed, the hydropower potential will reach 13,315 GWh/year, corresponding to 58.8% of the gross potential in Çoruh River and 5.12% of the annual electric energy production of Turkey in 2015.


Water Resources | 2014

The status of transboundary rivers in Turkey

Murat Kankal; Ergun Uzlu

Turkey, like many countries today, faces challenges in efficiently developing and managing its water resources while working to maintain water quality and protect the environment. This situation causes that the transboundary rivers in Turkey have been the most important. In this study, issues relating the development and management of the transboundary rivers of Turkey are discussed. For this purpose, this paper analyses the general characteristics, climate and water resources, current water usage status, and energy potential of the transboundary rivers, namely Euphrates-Tigris, Çoruh, Orontes, Kura-Arax, and Maritza. In addition, two significance development plans, which are the Southeastern Anatolia Project (GAP) and the Çoruh River Development Plan located in the transboundary rivers, are evaluated. The total feasible hydropower potential of projects reaches 37896 GW h/yr when all planned projects are completed. This value corresponds to 16.5% of the annual electric energy production of the Turkey in 2011. The GAP will also irrigate 1058509 hectare of land area.


Applied Energy | 2011

Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables

Murat Kankal; Adem Sefa Akpinar; Murat İhsan Kömürcü; Talat Şükrü Özşahin


Renewable & Sustainable Energy Reviews | 2008

Energy situation and renewables in Turkey and environmental effects of energy use

Adem Sefa Akpinar; Murat İhsan Kömürcü; Murat Kankal; İsmail Hakkı Özölçer; Kamil Kaygusuz


Energy | 2014

Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm

Ergun Uzlu; Murat Kankal; Adem Akpınar; Tayfun Dede


Energy | 2014

Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey

Ergun Uzlu; Adem Akpınar; Hasan Öztürk; Sinan Nacar; Murat Kankal


Renewable & Sustainable Energy Reviews | 2011

Development of hydropower energy in Turkey: The case of Çoruh river basin

Adem Akpınar; Murat İhsan Kömürcü; Murat Kankal


Environmental Earth Sciences | 2015

Modeling stream dissolved oxygen concentration using teaching–learning based optimization algorithm

Adem Bayram; Ergun Uzlu; Murat Kankal; Tayfun Dede


Neural Computing and Applications | 2014

Prediction of suspended sediment concentration from water quality variables

Adem Bayram; Murat Kankal; Gokmen Tayfur; Hızır Önsoy

Collaboration


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Ergun Uzlu

Karadeniz Technical University

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Ömer Yüksek

Karadeniz Technical University

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Murat İhsan Kömürcü

Karadeniz Technical University

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Sinan Nacar

Karadeniz Technical University

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Adem Bayram

Karadeniz Technical University

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Hızır Önsoy

Karadeniz Technical University

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Tayfun Dede

Karadeniz Technical University

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Tugce Anilan

Karadeniz Technical University

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Adem Sefa Akpinar

Karadeniz Technical University

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