Geostatistical methods to estimate the spatial distribution of snow depth in the watershed Skhvyd
Spatial distribution of snow reserves، in order to more accurately estimate the runoff from their understanding of the importance of water is snow. Spatial distribution of snow depth required to achieve the observational data and the compressed scale، be done. However، due to practical limitations، collect information، particularly on the scale، it is difficult and sometimes impossible. Methods can not measure the depth of snow in places، and also to estimate the extent of their use in this regard is essential. The study a range an area of 16 acres in the watershed Taft called the Skhvyd and using 216 data deep snow، using geostatistical kriging، Cokriging، Radial Basis Function (RBF) and inverse distance method (IDW) was. Variogram plotted snow depth was measured using 216 points. Variogram obtained showed that the most appropriate variogram model is exponential، so that the variogram has a Nugget of 0/05 and a Sill of 0/533، has been، which means that there is a strong spatial structure of the data. Variogram analysis and verification statistics (RMSE) between the methods of extraction methods showed that kriging is better in snow depth zonation. The results showed that the universal kriging، kriging methods with minimum error (11/49) and the best estimate of snow depth in the study area.