المجلة الدولية للعلوم والتقنية

In interpolation of aquifer transmissivity due to unknown distributed values, both the best and the unbiased aspects are frequently difficult to obtain. For that purpose, this study aim is to compare between seven geostatistical interpolation methods based on geographic information system GIS, for prediction of Tazerbo wellfield aquifer Transmissivity (T) m2/min. As well as setting the criteria for choosing the most appropriate interpolation method to predict the spatial distribution maps based on measured data from 108 wells at Tazerbo Wellfield, GMMR, SE Libya. As validation results, it was found that Radial Basic Function (RBF), and Inverse Distance Weighting (IDW) are the most suitable methods for creating the transmissivity T m2/min maps for the study area, with MAPE%=0, and E=1. The aquifer properties maps produced in the geographic information system (GIS) give additional data and information that describe the aquifer system, will ultimately improve sustainable groundwater management in Libya.