The Combined Effect of Seasonal Fluctuations of Persian Gulf and Mediterranean Sea Surface Temperature on Monthly Streamflow Forecasting of Karkheh River, Iran

Document Type : Research Paper


1 PhD Candidate, Water Resources Eng, Department of Irrigation and Reclamation Eng., Faculty of Agricultural Engineering & Technology, University College of Agriculture & Natural Resources, University of Tehran, Iran.

2 Associate Professor, Department of Irrigation and Reclamation Eng., Faculty of Agricultural Engineering & Technology, College of Agriculture & Natural Resources, University of Tehran, Iran

3 Associate Professor, Department of Irrigation and Reclamation Eng., Faculty of Agricultural Engineering & Technology, University College of Agriculture & Natural Resources, University of Tehran, Iran


In the current paper, the combined effect of seasonal fluctuations of Persian Gulf and Mediterranean Sea Surface Temperatures (SSTS) on the forecast of monthly streamflow of Karkheh River has been investigated. To follow the purpose, Singular Value Decomposition method (SVD) has been made use of to determine the effective nodes of the seas on the climate of the region and to produce the correlated series of sea surface temperatures vs streamflow’s. Moreover, Generalized Regression Neural Network method (GRNN) based on cross-validation technique has been applied to determine the most appropriate predictors from same several combinations of predictors for each month. Results for the forecast of the inflow in to Garsha dam show that the Mediterranean sea SST, during autumn, affects the streamflow from February to April, and while summer and autumn SSTs of Persian Gulf affect the streamflow in April and May such that applying these two indices for streamflow forecast in April and May results in an average increase of 118% vs 282% in Nash-Sutcliff index during calibration vs validation phases, respectively.


Main Subjects

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