Synthetic Daily Flow Duration Curves for the Çoruh River Basin, Turkey
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Synthetic Daily Flow Duration Curves for the Çoruh River Basin, Turkey

Authors: Fatih Tosunoğlu, İbrahim Can

Abstract:

The flow duration curve (FDC) is an informative method that represents the flow regime’s properties for a river basin. Therefore, the FDC is widely used for water resource projects such as hydropower, water supply, irrigation and water quality management. The primary purpose of this study is to obtain synthetic daily flow duration curves for Çoruh Basin, Turkey. For this aim, we firstly developed univariate auto-regressive moving average (ARMA) models for daily flows of 9 stations located in Çoruh basin and then these models were used to generate 100 synthetic flow series each having same size as historical series. Secondly, flow duration curves of each synthetic series were drawn and the flow values exceeded 10, 50 and 95% of the time and 95% confidence limit of these flows were calculated. As a result, flood, mean and low flows potential of Çoruh basin will comprehensively be represented.

Keywords: ARMA models, Çoruh basin, flow duration curve, Turkey.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1107355

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References:


[1] Davie T. (2002) Fundamentals of Hydrology, Taylor &Francis Group, London and New York.
[2] Salas JD, Delleur JW, Yevjevich V and Lane WL (1980) Applied Modeling of Hydrologic Time Series, Water Resour. Pub., Littleton.
[3] Haltiner JP and Salas JD (1988) Development and Testing of A Multivariate, Seasonal ARMA (1,1) Model, J. Hydrol. Vol. 104, pp.247- 272.
[4] Karabörk M.Ç and Kahya E (1998). Multivariate stochastic modeling of monthly stream flow of rivers in the Sakarya basin, Tr. J. Environ. Sci. Eng., Vol. 23, pp.133-147.
[5] Ochoa-Rivera JC, Garcia-Bartual R and Andreu J (2002) Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks, Hydrol. Earth Syst. Sc, Vol. 6(4), pp.641-654.
[6] Sengul, S. and Can, I. (2011) Stochastic Modeling of Mean Monthly Flows of Karasu River, in Turkey. Water and Environment Journal, 25, pp.31–39.
[7] Musa J.J. (2013). Stochastic Modelling of Shiroro River Stream flow Process, American Journal of Engineering Research (AJER), 2(6), pp.49-54.
[8] Karaaslan N. H. (2010) Estimation of Specific Flow Duration Curves Using Basin Characteristics of Rivers in Solaklı and Karadere Basins, Master Thesis, Middle East Technical University.
[9] Raghunath M.H. (2006) Hydrology; Principles, Analysis, Design, New Age International Publishers New Delhi.
[10] Akpınar A. Kömürcü Đ.M and Kankal M. (2011) Development of hydropower energy in Turkey: The case of Çoruh river basin, Renewable and Sustainable Energy Reviews, Vol. 15, pp. 1201-1209.
[11] Can Đ., Tosunoğlu F. and Kahya E. (2013). Daily streamflow modelling using autoregressive moving average and artificial neural networks models: case study of Çoruh basin, Turkey, Water and Environment Journal, 26, pp.567–576.