The Effects of Calibration Parameters in Muskingum Models on Flood Prediction Accuracy

Attenuation, time lag, outflow peak and storage are very essential factors required in flood risk prediction pattern. However, the accurate strongly depends on appropriate calibration of routine parameters model, such as weighting factor (x) constant (K). The being used to determine has not been given consideration previous studies this could have led inaccurate past. In work, a set data obtained from an ungauged Awara river Ondo State, Nigeria were test effects factor, x at levels ranging 0.1-0.5 interval 0.1. Muskingum model was obtain weighted discharge storage. It observed that correlation coefficient (R2) decreases with increase (x). This implies there is strong relationship between 0.1-0.3 while, fair 0.4-0.5 levels. therefore choose value 0.1 0.3 for attenuation prediction, while values 0.4 0.5 would be both