Investigation of the effect of atmospheric parameters on the snow cover of Koohrang watershed

The shortage of usable water and the rising water consumption due to the increasing population, the increasing standard of living, and the growth of technology are a concern worldwide that raise water need and scarcity. Therefore, in this study, the effect of atmospheric parameters on Koohrang's snow cover from 2010 to 2018 years was investigated. Snow has an essential role in the hydrological cycle due to water resources' supply in low water seasons and energy production. For this purpose, the role of the atmospheric parameters on snow cover was determined using statistical methods. In this study, by examining linear and non-linear regression relationships between atmospheric parameters (maximum, minimum and average temperature and precipitation) and snow cover, it was found that the highest correlation coefficient is related to the maximum temperature parameter (0.87) and the lowest correlation coefficient is related to precipitation (0.26). Among the used regressions, nonlinear regression recorded a higher correlation coefficient in the parameters of total annual precipitation (0.34), minimum and maximum temperatures (0.74 and 0.87, respectively). At the same time, there was no change in the correlation coefficient calculated for the mean temperature parameter. The results of researech also show a decreasing trend in snow cover of the watershed during this period. There is also a significant relationship between temperature and snow cover parameters that can be used to diagnose snow cover in the region.