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Öğe A review on alternative hydropower production methods(Batman Üniversitesi, 2018-09-18) Muratoğlu, AbdullahIncreasing energy prices, exponentially growing power need and detrimental effects of conventional fossil fuel consumption has lead scientists and engineers to find alternative and clean ways of energy production. Hydropower is one of the clean and renewable energy extraction methods providing very high potential of energy with considerably high predictability. Conventional hydroelectric plants (HEPP) are quite old technique of energy production covering about one fifth of electricity need of the world. Hydroelectric energy is site specific and most of the suitable locations for HEPPs are already exploited. Also the conventional technology have high amount of civil works together with serious environmental impacts. In this study, both conventional and alternative hydropower production methods were reviewed with special emphasize on modern technology and processes. Run-of-river hydropower production schemes, tidal energy and other in-stream energy conversion systems, wave energy technologies, ocean thermal and osmotic power stations were analyzed. The methodology and device mechanisms were investigated.Öğe Water footprint assessment within a catchment: A case study for Upper Tigris River Basin(Elsevier, 2019-11) Muratoğlu, AbdullahSubstantial amount of world's population experiences severe water scarcity problems. The water scarcity related threats on food security, human health and natural ecosystem are estimated to increase in the future, due to unconscious use and overutilization of water resources. Water footprint assessment studies at basin level are very important and provide a key role for sustainable development of freshwater resources especially in arid and semi-arid regions. However, comprehensive studies on water footprint assessment of river basins are quite limited due to requirement of wide-range of statistical data. The main scope of this study is to analyze the blue and green water footprint of Upper Tigris River Basin (UTRB, Turkey) with a bottom-up approach for the years between 2010 and 2018. Water footprints of agricultural production, livestock production and industrial plus domestic water use have been separately studied. Total blue and green water footprints, per capita water footprints and virtual water contents of the major crops harvested in the UTRB were calculated and compared with surrounding countries. A sustainability assessment based on the scarcity indicators has also been provided. Annual water footprint of UTRB is calculated as 7.2 Gm3/yr for the specified time interval corresponding 1748 m3/cap/yr. Crop production has the highest share with 79% of total water footprint. Wheat is the primary crop cultivated in the study area and responsible for 45% of consumptive water use of all crops. The livestock and domestic plus industrial water footprint were obtained as 16% and 5% of the complete basin's water footprint, respectively. Annual blue water scarcity of the basin is obtained to be 87% which is classified as low scarcity. The findings of this study are expected to increase water allocation efficiency and sustainability of the study area. It is also expected to contribute the integrated basin management studies and cooperation between riparian countries for better planning and management of transboundary water resources.Öğe Estimating the long term average flow rates of tigris basin using machine learning methods(Batman Üniversitesi, 2016) Muratoğlu, Abdullah; Yüce, Mehmet İshakThe discharge of a river is one of the most important parameters of the hydraulic and hydrological studies such as hydropower production, canal design, irrigation, basin management. Each basin has different climate and geological characteristics which influence the regional infiltration capacity and runoff. The aim of this study is to estimate the average annual flow rates of ungauged locations on the Tigris River Basin. In total, eleven machine learning methods were applied to the long-term average annual discharge and the drainage area data of 34 flow measurement stations (FMS). Among all methods employed here, the conventional regression analysis was found to be the most successful test with a correlation coefficient (R 2 value) of 0.96. The equation of the best fitted linear line represents the relationship between the drainage area and the discharge. The results of this study are expected to enable the prediction of the average annual flow rate of any sub-basin of the Tigris River.
