IIIrd World Aqua Congress, 02–04 Dec 2009 · Stein Auditorium, IHC New Delhi

Today, many attentions have been arisen on Geostatistical methods to estimate spatial parameter using some data (kriging) or using auxiliary variables (cokriging) in water and soil sciences. The quality of ground water for agriculture is very important, however its measurement is time consuming and expensive. Therefore, finding solution to estimate such parameter from easily measuring parameters is essential. In this study, two estimation models (spatial and regression models) were used to estimate parameters of SAR and CL in Tehran region using Geostatistic theory and spatial parameter concept. In this regard, ArcGIS software was used to estimate these parameters.