%0 Journal Article %A Golmohamadi, G %A Maroufi, S %A Mohamadi, K %T Regionalisation of Runoff Coefficient in Hamedan Province Using Geostatistical Methods and GIS %J Journal of Crop Production and Processing %V 12 %N 46 %U http://jcpp.iut.ac.ir/article-1-1139-en.html %R %D 2009 %K Runoff Coefficient, Interpolation, Geostatistics, Kriging, Co-kriging, Radial basis functions, %X In this research, using geographic information system (GIS) and different geostatistical methods including the kriging and co-kriging (ordinary, simple and universal) as well as the radial basis functions, the spatial distributions of runoff coefficient were evaluated in Hamedan province. To this end, the annual runoff were calculated in 18 existing hydrometery stations and another 11 auxiliary points, using digital elevation model (DEM) and 11 years available data of the stations. The performance criteria for evaluating the methods were mean absolute error (MAE), mean bias error (MBE), root mean square error (RMSE), and general standard deviation (GSD) along with the cross validation examination. A high regression between the runoff coefficient and watershed average slope was selected as auxiliary variable. The results showed that the runoff coefficient of the region changes between 3.5 and 85%. The findings also indicated that the universal co-krigings with spherical semi-variogram model had better performance with the values of MBE (-0.0014), MAE (0.036), RMSE (0.054) and GSD (20.152). The universal and simple kriging with spherical model were equal in runoff estimation of the region and were ranked as the second methods to this propose. %> http://jcpp.iut.ac.ir/article-1-1139-en.pdf %P 501-514 %& 501 %! %9 Research %L A-10-564-1 %+ %G eng %@ 2251-8517 %[ 2009