JWARP  Vol.9 No.12 , November 2017
Applicability of Galway River Flow Forecasting and Modeling System (GFFMS) for Lake Tana Basin, Ethiopia
Abstract: Flow forecasting is used in activities requiring stream flow data such as irrigation development, water supply, and flood control and hydropower development. Real time flow forecasting with special interest to flooding is one of the most important applications of hydrology for decision making in water resources. In order to meet flood and flow forecasts using hydrological models may be used and subsequently be updated in accordance with residuals. Therefore in this study, different flood forecasting methods are evaluated for their potential of stream flow forecasting using Galway River Flow Forecasting and Modeling System (GFFMS) in Lake Tana basin, upper Blue Nile basin, Ethiopia. The areal rainfall and temperature data was used for the model input. Three forecast updating methods, i.e., autoregressive (AR), linear transfer function (LTF) and neuron network updating (NNU) methods were compared for stream flow forecasting, at one to six days lead time. The most sensitive parameters were fine-tuned first and modeled for a calibration period of 1994-2004 for three selected watersheds of the Tana basin. The results indicate that with the exception of the simple linear model, an acceptable result could be obtained using models embedded in the software. Artificial neural network model performed well for Gilgel Abay (NSE = 0.87) and Gumara (NSE = 0.9) watersheds but for Megech watershed, SMAR model (NSE = 0.78) gave a better forecast result. In capturing the peak flows LTF and NNU in forecast updating mode performed better for Gilgel Abay and Megech watersheds, respectively. The results of this study implied that GFFMS can be used as a useful tool to forecast peak stream flows for flood early warning in the upper Blue Nile basin.
Cite this paper: Dessalegn, T. , Moges, M. , Dagnew, D. and Gashaw, A. (2017) Applicability of Galway River Flow Forecasting and Modeling System (GFFMS) for Lake Tana Basin, Ethiopia. Journal of Water Resource and Protection, 9, 1319-1334. doi: 10.4236/jwarp.2017.912084.

[1]   Birhanu, Z.B, Mkhandi, S.K. and Mtalo F.W. (2008) Real Time Flow Forecasting For Ribb and Gumara Watersheds in the Blue Nile Basin North Western Ethiopia. 1-17.

[2]   Kieran, K.M. and O’Connor, P.E. (2001) Discussion of Principles and Function of GFFMS Model as Operational Tool. Journal of Hydrology, 133, 21-37.

[3]   Steenhuis, T.S., Collick, A.S., Easton, Z.M., Leggesse, E.S., Bayabil, H.K., White, E.D., Awulachew, S.B., Adgo, E. and Ahmed, A.A. (2009) Predicting Discharge and Sediment for the Abay (Blue Nile) with a Simple Model. Hydrological Processes, 23, 3728-3737.

[4]   Tesemma, Z.K., Mohamed, Y.A. and Steenhuis, T.S. (2010) Trends in Rainfall and Runoff in the Blue Nile Basin: 1964-2003. Hydrological Processes, 24, 3747-3758.

[5]   Tilahun, S., Guzman, C., Zegeye, A., Engda, T., Collick, A., Rimmer, A. and Steenhuis, T. (2013) An Efficient Semi-Distributed Hill Slope Erosion Model for the Sub-Humid Ethiopian Highlands. Hydrology and Earth System Sciences, 17, 1051-1063.

[6]   Moges, M.A., Schmitter, P., Tilahun, S.A., Langan, S., Dagnew, D.C., Akale, A.T. and Steenhuis, T.S. (2017) Suitability of Watershed Models to Predict Distributed Hydrologic Response in the Awramba Watershed in Lake Tana Basin. Land Degradation & Development, 28, 1386-1397.

[7]   Bergström, S. and Singh, V. (1995) The HBV Model. In: Singh, V.P., Ed., Computer Models of Watershed Hydrology, Water Resources Publications, Highlands Ranch, 443-476.

[8]   Wale, A., Rientjes, T.H.M., Gieske, A.S.M. and Getachew, H.A. (2009) Ungauged Catchment Contributions to Lake Tana Water Balance. Hydrological Processes, 23, 3682-3693.

[9]   Arnold, J.G., Srinivasan, R., Muttiah, R.S. and Williams, J.R. (1998) Large Area Hydrologic Modeling and Assessment Part I: Model Development. Journal of the American Water Resources Association, 34, 73-89.

[10]   Setegn, S.G., Srinivasan, R., Melesse, A.M. and Dargahi, B. (2010) SWAT Model Application and Prediction Uncertainty Analysis in the Lake Tana Basin, Ethiopia. Hydrological Processes, 24, 357-367.

[11]   Kebede, S., Travi, Y., Alemayehu, T. and Marc, V. (2006) Water Balance of Lake Tana and Its Sensitivity to Fluctuations in Rainfall, Blue Nile Basin, Ethiopia. Journal of Hydrology, 316, 233-247.

[12]   Dile, Y.T., Berndtsson, R. and Setegn, S.G. (2013) Hydrological Response to Climate Change for Gilgel Abay River, in the Lake Tana Basin-Upper Blue Nile Basin of Ethiopia. PloS One, 8, e79296.

[13]   Dile, Y.T., Karlberg, L., Daggupati, P., Srinivasan, R., Wiberg, D. and Rockström, J. (2016) Assessing the Implications of Water Harvesting Intensification on Upstream-Downstream Ecosystem Services: A Case Study in the Lake Tana Basin. Science of the Total Environment, 542, 22-35.

[14]   Enku, T. and Melesse, A.M. (2014) A Simple Temperature Method for the Estimation of Evapotranspiration. Hydrological Processes, 28, .2945-2960.

[15]   Nash, J.E. and Foley, J.J. (1982) Linear Models of Rainfall-Runoff Systems. In: Singh, V.P., Ed., Rainfall-Runoff Relationship, Proceedings of the International Symposium on Rainfall-Runoff Modelling, Water Resources Publications, Littleton, 51-66.

[16]   Nash, J.E. and Barsi, B.I. (1983) LPM Hybrid Model for Flow Forecasting on Large Watersheds. Journal of Hydrology, 65, 125-137.

[17]   Connor, K.M. (2000) A Discrete Non-Parametric Models for Hydrology. Journal of Hydrology, 133, 1-15.

[18]   Ashan, M.N., O’Connor, B.M. and Kieran, M.L. (1994) A Simple Non-Linear Rainfall-Runoff Model with a Variable Gain Factor. Journal of Hydrology, 155, 151-183.

[19]   Shamseldin, A.Y., O’Connor, K.M. and Liang, G.C. (1997) Methods for Combining the Outputs of Different Rainfall-Runoff Models. Journal of Hydrology, 197, 203-229.

[20]   Connell, P.E., Nash, J.E. and Farrell, J.P. (1970) River Flow forecasting through Conceptual Models Part 2, The Brosna Watershed at Ferbane. Journal of Hydrology, 10, 317-329.

[21]   Nash, J.E. and Sutcliffe, J.V. (1969) River Flow Forecasting through Conceptual Models Part 1: A Discussion of Principles. Journal of Hydrology, 10, 282-290.

[22]   Wang, Y.T. (1991) A Model Optimization Technique for SMAR Conceptual Model. 47-82.

[23]   Rosenbrock, H.H. (1960) An Automatic Method for Finding the Greatest or Least Value of a Function. The Computer Journal, 7, 175-184.

[24]   Nelden, J.A. and Mead, R.N. (1965) A Simple Search Method for SMAR Parameters Optimization. The Computer Journal, 7, 308-313.

[25]   Kachroo, R.K., Sea, C.H., Warsi, M.S., Jemenez, H. and Saxena, R.P. (1992) River Flow Forecasting. Part 3. Applications of Linear Techniques in Modelling Rainfall-Runoff Transformations. Journal of Hydrology, 133, 41-97.

[26]   Shamseldin, A.Y. and O’Connor, K.M. (2001) A Non-Linear Neural Network Technique for Updating River Flow Forecasts. Hydrology and Earth System Sciences, 5, 577-598.

[27]   Nash, J.E. and Sutcliffe, J.V. (1957) Nash-Sutcliffe Model Efficiency Criteria. Journal of Hydrology, 1-21.