Due to difficulties in measurements of snow characteristics in mountainous areas, use of IRS satellite

images and extracting information of snow cover in watershed is a common practice. These information

can be utilized by statistical models such as bivariable and multivariable regression models to estimate

the snow- melting runoff. This research was carried out in Zarinerood (Bokan Dam) watershed in West

Azarbayijan Province due to its importance in water resources supply.

In this research, in addition to remote sensing data, the data from climatology, snow and hydrological

stations are used to present regression models to estimate river runoffs.

The results from multivariable regression models with two criteria such as R

Volume) for December, January and February of 2006-2007 in Zarinerood watershed are equal to 0.94, -

13.48, respectively. The bivariable model for R

of statistical models, the level of snow covered areas are measured by IRS satellite images. The

results presented based on RMSE, RE and QE criteria. RMSE for bivariable and multivariable regression

models is 0.2 and 0.01, respectively.