Studying the effect of climate elements variability on surface water runoff and infiltration rate in Babylon province by using statistical analysis

This research was conducted to predict surface water runoff (R-u) and w index for infiltration rate (I-n) depending on climate elements taken from a metrological directorate for a of 11 years. In addition, the relation between surface water runoff and {temperature (T-m), rainfall (P), relative humidity (H-u), wind speed (W-s), and w index for infiltration (I-n)}, was studied statistically using data fit software package. The surface water runoff and w index for infiltration was the (dependent variable), and the other climate elements were (independent variables). Several parameters such as coefficient of determination (R-2), standard estimated error (SEE), root mean squared error (RMSE), mean absolute error (MAE) and relative error (RE) were determined using the strength of the relationship between estimated and observed values of surface water runoff and w index for infiltration and used to verify the generated model, then calculate the coefficient of the runoff between runoff and precipitation.