TY - JFULL AU - M. Siosemarde and F. Kave and E. Pazira and H. Sedghi and S. J. Ghaderi PY - 2010/11/ TI - Prediction of Soil Exchangeable Sodium Ratio Based on Soil Sodium Adsorption Ratio T2 - International Journal of Geological and Environmental Engineering SP - 453 EP - 456 VL - 4 SN - 1307-6892 UR - https://publications.waset.org/pdf/12384 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 46, 2010 N2 - Researchers have long had trouble in measurement of Exchangeable Sodium Ratio (ESR) at salt-affected soils. this parameter are often determined using laborious and time consuming laboratory tests, but it may be more appropriate and economical to develop a method which uses a more simple soil salinity index. The aim of this study was to determine the relationship between exchangeable sodium ratio (ESR) and sodium adsorption ratio (SAR) in some salt-affected soils of Khuzestan plain. To this purpose, two experimental areas (S1, S2) of Khuzestan province-IRAN were selected and four treatments with three replications by series of double rings were applied. The treatments were included 25cm, 50cm, 75cm and 100cm water application. The statistical results of the study indicated that in order to predict soil ESR based on soil SAR the linear regression model ESR=0.2048+0.0066 SAR (R2=0.53) & ESR=0.0564+0.0171 SAR (R2=0.76) can be recommended in Pilot S1 and S2 respectively. ER -