@article{(Open Science Index):https://publications.waset.org/pdf/12384,
	  title     = {Prediction of Soil Exchangeable Sodium Ratio Based on Soil Sodium Adsorption Ratio},
	  author    = {M. Siosemarde and  F. Kave and  E. Pazira and  H. Sedghi and  S. J. Ghaderi},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Geological and Environmental Engineering},
	  volume    = {4},
	  number    = {10},
	  year      = {2010},
	  pages     = {454 - 456},
	  ee        = {https://publications.waset.org/pdf/12384},
	  url   	= {https://publications.waset.org/vol/46},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 46, 2010},
	}